diff --git a/.gitattributes b/.gitattributes index 1ef325f1b111266a6b26e0196871bd78baa8c2f3..2072572692a9f815de3b69a7c18d394ce0cd9480 100644 --- a/.gitattributes +++ b/.gitattributes @@ -57,3 +57,51 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text # Video files - compressed *.mp4 filter=lfs diff=lfs merge=lfs -text *.webm filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2020.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2014.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1995.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1989.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2009.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2011.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1992.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1986.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2006.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1983.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2003.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2000.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2019.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2016.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1997.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2013.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1994.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1988.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2008.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2010.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1991.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1985.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2005.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1982.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2002.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2018.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1999.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2015.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1996.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2012.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1993.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1987.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2007.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1984.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2004.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1981.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2001.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/2017.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/GODAS/1998.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_BCC-CSM2-MR_historical_r1i1p1f1_gn_200001-200912.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_BCC-CSM2-MR_historical_r1i1p1f1_gn_201001-201412.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_INM-CM5-0_historical_r1i1p1f1_gr1_199001-199912.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_INM-CM5-0_historical_r1i1p1f1_gr1_198001-198912.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_INM-CM5-0_historical_r1i1p1f1_gr1_201001-201412.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_CAS-ESM2-0_historical_r1i1p1f1_gn_195001-201412.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_BCC-CSM2-MR_historical_r1i1p1f1_gn_199001-199912.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/CMIP6/thetao_Omon_INM-CM5-0_historical_r1i1p1f1_gr1_200001-200912.nc filter=lfs diff=lfs merge=lfs -text +raw_data/earth/ERA5/t2m.nc filter=lfs diff=lfs merge=lfs -text diff --git a/20250514-en/dataset_info.json b/20250514-en/dataset_info.json new file mode 100644 index 0000000000000000000000000000000000000000..818c01bc31f9bb32b30e86f0b5046e295d74d791 --- /dev/null +++ b/20250514-en/dataset_info.json @@ -0,0 +1 @@ +{"splits": ["test"]} \ No newline at end of file diff --git a/20250514-en/test.parquet b/20250514-en/test.parquet new file mode 100644 index 0000000000000000000000000000000000000000..7868890da256a9f85054537c3702b9ac9cd6e38a --- /dev/null +++ b/20250514-en/test.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:4dfe8b14147debfc64c3d1e00f09671032defd99b21e3293e34a2dfeb2c6ae13 +size 133444 diff --git a/20250514-zh/dataset_info.json b/20250514-zh/dataset_info.json new file mode 100644 index 0000000000000000000000000000000000000000..818c01bc31f9bb32b30e86f0b5046e295d74d791 --- /dev/null +++ b/20250514-zh/dataset_info.json @@ -0,0 +1 @@ +{"splits": ["test"]} \ No newline at end of file diff --git a/20250514-zh/test.parquet b/20250514-zh/test.parquet new file mode 100644 index 0000000000000000000000000000000000000000..b2f0e1809c82825f662106bec59c6deeb2eba8d1 --- /dev/null +++ b/20250514-zh/test.parquet @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:464f730e2b71cbc83f8c0713394de38bb2eaeba83d2df8ea871b74b15c5926ec +size 133261 diff --git a/evaluations/README.md b/evaluations/README.md new file mode 100644 index 0000000000000000000000000000000000000000..fc7c2495af7deb289f4202ac0fbbf2380d11ce83 --- /dev/null +++ b/evaluations/README.md @@ -0,0 +1,5 @@ +# Evaluations of SFE + +We evaluate the SFE dataset using lmms-eval. The evaluation codes are listed in this folder. + +We only provide the evaluation scripts for GPT series and InternVL series. Evaluation scripts for other models follow the same format and can be easily adapted. diff --git a/evaluations/scripts/chatgpt.sh b/evaluations/scripts/chatgpt.sh new file mode 100644 index 0000000000000000000000000000000000000000..18373d0a18c003b916954e75960a4176ea58d5f7 --- /dev/null +++ b/evaluations/scripts/chatgpt.sh @@ -0,0 +1,28 @@ +export HF_HOME= +export HF_TOKEN= +export OPENAI_API_KEY= +export OPENAI_API_BASE= + +export API_TYPE="openai" +export MODEL_VERSION="gpt-4o-2024-11-20" + +# export AZURE_OPENAI_API_KEY="" +# export AZURE_OPENAI_API_BASE="" +# export AZURE_OPENAI_API_VERSION="2023-07-01-preview" + +# pip install git+https://github.com/EvolvingLMMs-Lab/lmms-eval.git + +# GPT Series +export FILE_NAME="lmms_eval_gpt4o_en.json" +python3 -m lmms_eval \ + --model openai_compatible \ + --model_args model_version=gpt-4o-2024-11-20,azure_openai=False \ + --tasks sfe-en \ + --batch_size 1 + +export FILE_NAME="lmms_eval_gpt4o_zh.json" +python3 -m lmms_eval \ + --model openai_compatible \ + --model_args model_version=gpt-4o-2024-11-20,azure_openai=False \ + --tasks sfe-zh \ + --batch_size 1 \ No newline at end of file diff --git a/evaluations/scripts/internvl3.sh b/evaluations/scripts/internvl3.sh new file mode 100644 index 0000000000000000000000000000000000000000..d8b8692197643a39be4069b257aea195ecc2c599 --- /dev/null +++ b/evaluations/scripts/internvl3.sh @@ -0,0 +1,34 @@ +export HF_HOME= +export HF_TOKEN= +export OPENAI_API_KEY= +export OPENAI_API_BASE= + +export API_TYPE="openai" +export MODEL_VERSION="gpt-4o-2024-11-20" + +export CUDA_VISIBLE_DEVICES=0,1,2,3,4,5,6,7 + +export VLLM_WORKER_MULTIPROC_METHOD=spawn +# export NCCL_BLOCKING_WAIT=1 +# export NCCL_TIMEOUT=18000000 +# export NCCL_DEBUG=DEBUG + +# pip install git+https://github.com/EvolvingLMMs-Lab/lmms-eval.git +export FILE_NAME="lmms_eval_internvl3-78b_en.json" +python3 -m lmms_eval \ + --model vllm \ + --model_args model_version=,tensor_parallel_size=8 \ + --tasks sfe-en \ + --batch_size 1 \ + --log_samples \ + --log_samples_suffix vllm + +export FILE_NAME="lmms_eval_internvl3-78b_zh.json" +python3 -m lmms_eval \ + --model vllm \ + --model_args model_version=,tensor_parallel_size=8 \ + --tasks sfe-en \ + --batch_size 1 \ + --log_samples \ + --log_samples_suffix vllm + diff --git a/evaluations/tasks/sfe/__pycache__/utils.cpython-312.pyc b/evaluations/tasks/sfe/__pycache__/utils.cpython-312.pyc new file mode 100644 index 0000000000000000000000000000000000000000..c141352d9c6e3775d4e68399759f04cad9dd0d04 Binary files /dev/null and b/evaluations/tasks/sfe/__pycache__/utils.cpython-312.pyc differ diff --git a/evaluations/tasks/sfe/sfe-en.yaml b/evaluations/tasks/sfe/sfe-en.yaml new file mode 100644 index 0000000000000000000000000000000000000000..5499729a7d89928d32b5002468caff73499c5685 --- /dev/null +++ b/evaluations/tasks/sfe/sfe-en.yaml @@ -0,0 +1,52 @@ +dataset_path: DATASET_PATH_EN +task: "sfe-en" +test_split: test +output_type: generate_until +doc_to_visual: !function utils.sfe_doc_to_visual +doc_to_text: !function utils.sfe_doc_to_text +doc_to_target: "answer" +process_results: !function utils.sfe_process_results + +generation_kwargs: + max_new_tokens: 1024 + +metric_list: + - metric: all_info + aggregation: !function utils.sfe_save_results + higher_is_better: true + - metric: rouge_score + aggregation: !function utils.sfe_aggregate_rouge_results + higher_is_better: true + - metric: bert_score + aggregation: !function utils.sfe_aggregate_bertscore_results + higher_is_better: true + - metric: bleu_score + aggregation: !function utils.sfe_aggregate_bleuscore_results + higher_is_better: true + - metric: meteor_score + aggregation: !function utils.sfe_aggregate_meteor_score_results + higher_is_better: true + - metric: llm_score + aggregation: !function utils.sfe_aggregate_judge_results + higher_is_better: true + - metric: execute_succ_rate + aggregation: !function utils.sfe_aggregate_execute_succ_rate_results + higher_is_better: true + - metric: iou_score + aggregation: !function utils.sfe_aggregate_iou_score_results + higher_is_better: true + - metric: acc@0.1 + aggregation: !function utils.sfe_aggregate_acc01_results + higher_is_better: true + - metric: acc@0.3 + aggregation: !function utils.sfe_aggregate_acc03_results + higher_is_better: true + - metric: acc@0.5 + aggregation: !function utils.sfe_aggregate_acc05_results + higher_is_better: true + - metric: acc@0.7 + aggregation: !function utils.sfe_aggregate_acc07_results + higher_is_better: true + - metric: acc@0.9 + aggregation: !function utils.sfe_aggregate_acc09_results + higher_is_better: true diff --git a/evaluations/tasks/sfe/sfe-zh.yaml b/evaluations/tasks/sfe/sfe-zh.yaml new file mode 100644 index 0000000000000000000000000000000000000000..583f25005dcee62b7fc2b473a4adb11b3bd4cbba --- /dev/null +++ b/evaluations/tasks/sfe/sfe-zh.yaml @@ -0,0 +1,52 @@ +dataset_path: DATASET_PATH_ZH +task: "sfe-zh" +test_split: test +output_type: generate_until +doc_to_visual: !function utils.sfe_doc_to_visual +doc_to_text: !function utils.sfe_doc_to_text +doc_to_target: "answer" +process_results: !function utils.sfe_process_results + +generation_kwargs: + max_new_tokens: 1024 + +metric_list: + - metric: all_info + aggregation: !function utils.sfe_save_results + higher_is_better: true + - metric: rouge_score + aggregation: !function utils.sfe_aggregate_rouge_results + higher_is_better: true + - metric: bert_score + aggregation: !function utils.sfe_aggregate_bertscore_results + higher_is_better: true + - metric: bleu_score + aggregation: !function utils.sfe_aggregate_bleuscore_results + higher_is_better: true + - metric: meteor_score + aggregation: !function utils.sfe_aggregate_meteor_score_results + higher_is_better: true + - metric: llm_score + aggregation: !function utils.sfe_aggregate_judge_results + higher_is_better: true + - metric: execute_succ_rate + aggregation: !function utils.sfe_aggregate_execute_succ_rate_results + higher_is_better: true + - metric: iou_score + aggregation: !function utils.sfe_aggregate_iou_score_results + higher_is_better: true + - metric: acc@0.1 + aggregation: !function utils.sfe_aggregate_acc01_results + higher_is_better: true + - metric: acc@0.3 + aggregation: !function utils.sfe_aggregate_acc03_results + higher_is_better: true + - metric: acc@0.5 + aggregation: !function utils.sfe_aggregate_acc05_results + higher_is_better: true + - metric: acc@0.7 + aggregation: !function utils.sfe_aggregate_acc07_results + higher_is_better: true + - metric: acc@0.9 + aggregation: !function utils.sfe_aggregate_acc09_results + higher_is_better: true diff --git a/evaluations/tasks/sfe/utils.py b/evaluations/tasks/sfe/utils.py new file mode 100644 index 0000000000000000000000000000000000000000..44b91b869cafd0b7f53c7c3b42c590ba513603be --- /dev/null +++ b/evaluations/tasks/sfe/utils.py @@ -0,0 +1,633 @@ +import ast +import json +import os +import random +import re +import time +from collections import defaultdict +from pathlib import Path +import copy +import math + +from PIL import Image + +import numpy as np +import requests +import yaml +from loguru import logger as eval_logger +from openai import AzureOpenAI, OpenAI + +from rouge_score import rouge_scorer +from bert_score import score +import pymeteor.pymeteor as pymeteor + +from nltk.translate.bleu_score import sentence_bleu, SmoothingFunction +from nltk.translate.meteor_score import meteor_score + +from lmms_eval.tasks._task_utils.file_utils import generate_submission_file + +import torch + +NUM_SECONDS_TO_SLEEP = 5 +API_TYPE = os.getenv("API_TYPE", "openai") +MODEL_VERSION = os.getenv("MODEL_VERSION", "gpt-4o-2024-08-06") +FILE_NAME = os.getenv("FILE_NAME", "sfe_test.json") + +JUDGE_RULES = """You are a strict evaluator assessing answer correctness. You must score the model's prediction on a scale from 0 to 9, where 0 represents an entirely incorrect answer and 9 indicates a highly correct answer. +# Input +Question: +``` +{question} +``` +Ground Truth Answer: +``` +{answer} +``` +Model Prediction: +``` +{pred} +``` + + +# Evaluation Rules +- The model prediction may contain the reasoning process, you should spot the final answer from it. +- For multiple-choice questions: Assign a higher score if the predicted answer matches the ground truth, either by option letters or content. Include partial credit for answers that are close in content. +- For exact match and open-ended questions: + * Assign a high score if the prediction matches the answer semantically, considering variations in format. + * Deduct points for partially correct answers or those with incorrect additional information. +- Ignore minor differences in formatting, capitalization, or spacing since the model may explain in a different way. +- Treat numerical answers as correct if they match within reasonable precision +- For questions requiring units, both value and unit must be correct + +# Scoring Guide +Provide a single integer from 0 to 9 to reflect your judgment of the answer's correctness. + +# Strict Output format example +4""" + + +if API_TYPE == "openai": + API_URL = os.getenv("OPENAI_API_BASE", "https://api.openai.com/v1") + API_KEY = os.getenv("OPENAI_API_KEY", "YOUR_API_KEY") + client = OpenAI(base_url=API_URL, api_key=API_KEY) +elif API_TYPE == "azure": + API_URL = os.getenv("AZURE_ENDPOINT", "https://api.cognitive.microsoft.com/sts/v1.0/issueToken") + API_KEY = os.getenv("AZURE_API_KEY", "YOUR_API_KEY") + client = AzureOpenAI(azure_endpoint=API_URL, api_version="2023-07-01-preview", api_key=API_KEY) + + +scorer = rouge_scorer.RougeScorer(['rougeL'], use_stemmer=True) + + +def get_chat_response(content: str, max_tokens: int, retries: int = 5): + global MODEL_VERSION + global client + + messages = [ + { + "role": "system", + "content": "You are a helpful and precise assistant for checking the correctness of the answer.", + }, + {"role": "user", "content": content}, + ] + + payload = { + "model": MODEL_VERSION, + "messages": messages, + "temperature": 0.0, + "max_tokens": max_tokens, + } + + for attempt in range(retries): + try: + response = client.chat.completions.create(**payload) + content = response.choices[0].message.content.strip() + return content + except requests.exceptions.RequestException as e: + eval_logger.warning(f"Request failed on attempt {attempt+1}: {e}") + time.sleep(NUM_SECONDS_TO_SLEEP) + if attempt == retries - 1: + eval_logger.error(f"Failed to get response after {retries} attempts") + return "" + except Exception as e: + eval_logger.error(f"Error on attempt {attempt+1}: {e}") + return "" + + +def parse_float_sequence_within(input_str): + pattern_in_bracket = r"\[(.*)\]" + match = re.search(pattern_in_bracket, input_str) + + if not match: + return None + + inside_str = match.group(1) + groups = inside_str.split(";") + + bboxs = [] + for group in groups: + floats = group.split(",") + if len(floats) != 4: + continue + try: + bboxs.append([float(f) for f in floats]) + except Exception as e: + continue + + if len(bboxs) == 0: + return None + + return bboxs + + +def compute_iou(box1, box2): + """ + Compute the Intersection over Union (IoU) of two bounding boxes. + + Parameters: + - box1 (list of float): Bounding box [x_min, y_min, x_max, y_max]. + - box2 (list of float): Bounding box [x_min, y_min, x_max, y_max]. + + Returns: + - float: IoU of box1 and box2. + """ + # Determine the coordinates of the intersection rectangle + x_left = max(box1[0], box2[0]) + y_top = max(box1[1], box2[1]) + x_right = min(box1[2], box2[2]) + y_bottom = min(box1[3], box2[3]) + + # Compute the area of intersection + intersection_area = max(0, x_right - x_left) * max(0, y_bottom - y_top) + + # Compute the area of both bounding boxes + box1_area = (box1[2] - box1[0]) * (box1[3] - box1[1]) + box2_area = (box2[2] - box2[0]) * (box2[3] - box2[1]) + + # Compute the area of the union + union_area = box1_area + box2_area - intersection_area + + # Compute the Intersection over Union + iou = intersection_area / union_area + + return iou + + +def greedy_iou(answers, preds): + score = 0.0 + n_answer, n_pred = len(answers), len(preds) + selected = [] + for pred in preds: + if len(selected) == n_answer: + break + _scores = [compute_iou(answer, pred) if i not in selected else -1 for i, answer in enumerate(answers)] + max_index = _scores.index(max(_scores)) + score += max(_scores) + selected.append(max_index) + + return score / n_answer + + + +def construct_prompt(doc): + description = f"You are an expert in {doc['field']} and need to solve the following question." + if doc["question_type"] == "mcq": + description += "\nThe question is a multiple-choice question. Answer with the option letter from the given choices." + elif doc["question_type"] == "exact_match": + description += "\nThe question is an exact match question. Answer the question using a single word or phrase." + elif doc["question_type"] == "open_ended": + description += "\nThe question is an open-ended question. Answer the question using a phrase." + else: + raise ValueError(f"Unknown question type: {doc['question_type']}") + + question = doc["question"] + question = f"{description}\n\n{question}" + if doc["question_type"] == "mcq": + parsed_options = "\n".join(doc["options"]) + question = f"{question}\n{parsed_options}" + elif doc["question_type"] == "exact_match": + question = f"{question}" + elif doc["question_type"] == "open_ended": + question = f"{question}" + else: + raise ValueError(f"Unknown question type: {doc['question_type']}") + + return question + + +def sfe_doc_to_text(doc, lmms_eval_specific_kwargs=None): + if lmms_eval_specific_kwargs is None: + question = construct_prompt(doc) + else: + question = construct_prompt(doc, lmms_eval_specific_kwargs["multiple_choice_prompt"], lmms_eval_specific_kwargs["open_ended_prompt"], lmms_eval_specific_kwargs["prompt_type"]) + return question + + +def sfe_doc_to_visual(doc): + question = construct_prompt(doc) + images = doc["images"] + visual = [Image.open(image).convert("RGB") for image in images] + return visual + +def sfe_doc_to_visual_claude(doc): + images = doc["images"] + visual = [] + for image in images: + img = Image.open(image).convert("RGB") + if max(img.size) > 8000: + scale = 8000 / max(img.size) + img = img.resize((min(int(img.size[0] * scale), 8000), min(int(img.size[1] * scale), 8000)), Image.LANCZOS) + visual.append(img) + return visual + + +def sfe_doc_to_visual_doubao(doc): + images = doc["images"] + visual = [] + for image in images: + img = Image.open(image).convert("RGB") + if img.size[0] * img.size[1] > 36000000: + scale = 36000000 / (img.size[0] * img.size[1]) + img = img.resize((math.floor(img.size[0] * scale), math.floor(img.size[1] * scale)), Image.LANCZOS) + visual.append(img) + return visual + + +def sfe_process_results(doc, results): + question_type = doc["question_type"] + + parsed_preds = [] + + rough_scores = [] + bertscore_scores = [] + bleu_scores = [] + meteor_scores = [] + llm_scores = [] + + execute_success_rate = [] + iou_scores = [] + + assert len(results) == 1, f"Expected one result, got {len(results)}" + for pred in results: + formatted_question = construct_prompt(doc) + answer = doc["answer"] + + if doc["id"].split("/")[0].lower() in ["e011", "e012"]: + answer_bboxs = parse_float_sequence_within(answer) + pred_bboxs = parse_float_sequence_within(pred) + + if pred_bboxs is not None: + execute_success_rate.append(1) + iou_score = greedy_iou(answer_bboxs, pred_bboxs) + iou_scores.append(iou_score) + else: + execute_success_rate.append(0) + iou_scores.append(-1) + + rough_scores.append(-1) + bertscore_scores.append(-1) + bleu_scores.append(-1) + meteor_scores.append(-1) + llm_scores.append(-1) + else: + if question_type == "open_ended": + try: + rouge_score = scorer.score(answer, pred) + rough_scores.append(rouge_score["rougeL"].fmeasure) + except: + rough_scores.append(0.) + + try: + bertscore = score([answer], [pred], lang="multi", device="cuda" if torch.cuda.is_available() else "cpu")[2].item() + bertscore_scores.append(bertscore) + except: + bertscore_scores.append(0.) + + try: + chencherry = SmoothingFunction() + bleu_score = sentence_bleu([answer.strip().split()], pred.strip().split(), smoothing_function=chencherry.method1) + bleu_scores.append(bleu_score) + except: + bleu_scores.append(0.) + + try: + meteor_score = meteor_score([answer.strip().split()], pred.strip().split()) + meteor_scores.append(meteor_score) + except: + meteor_scores.append(0.) + else: + rough_scores.append(-1) + bertscore_scores.append(-1) + bleu_scores.append(-1) + meteor_scores.append(-1) + + # llm_as_a_judge + llm_judge_prompt = JUDGE_RULES.format(question=formatted_question, answer=answer, pred=pred) + llm_judge_score = get_chat_response(llm_judge_prompt, max_tokens=20, retries=3) + llm_scores.append(llm_judge_score) + + execute_success_rate.append(-1) + iou_scores.append(-1) + + parsed_preds.append(pred) + + all_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "rouge_score": rough_scores, + "bertscore": bertscore_scores, + "bleu_score": bleu_scores, + "meteor_score": meteor_scores, + "llm_score": llm_scores, + "execute_success_rate": execute_success_rate, + "iou_score": iou_scores, + } + + rouge_score_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "rouge_score": rough_scores, + } + + bert_score_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "bertscore": bertscore_scores, + } + + bleu_score_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "bleu_score": bleu_scores, + } + + meteor_score_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "meteor_score": meteor_scores, + } + + llm_score_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "llm_score": llm_scores + } + + execute_succ_rate_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "execute_success_rate": execute_success_rate, + } + + iou_score_info = { + "id": doc["id"], + "field": doc["field"], + "question_type": doc["question_type"], + "answer": doc["answer"], + "parsed_pred": parsed_preds, + "iou_score": iou_scores, + } + + return { + "all_info": all_info, + "rouge_score": rouge_score_info, + "bert_score": bert_score_info, + "bleu_score": bleu_score_info, + "meteor_score": meteor_score_info, + "llm_score": llm_score_info, + "execute_succ_rate": execute_succ_rate_info, + "iou_score": iou_score_info, + "acc@0.1": iou_score_info, + "acc@0.3": iou_score_info, + "acc@0.5": iou_score_info, + "acc@0.7": iou_score_info, + "acc@0.9": iou_score_info, + } + + +def sfe_save_results(results, args): + path = os.path.join("/fs-computility/ai4sData/earth-shared/SFE/lmms-eval/examples/sfe/results", FILE_NAME) + with open(path, "w") as f: + json.dump(results, f) + eval_logger.info(f"Results saved to {path}.") + + return 0.0 + + +def sfe_aggregate_rouge_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = float(result["rouge_score"][0]) + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert rouge score to float for {result['id']}: {result['rouge_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_bertscore_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = float(result["bertscore"][0]) + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert bert score to float for {result['id']}: {result['bertscore'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_bleuscore_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = float(result["bleu_score"][0]) + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert bleu score to float for {result['id']}: {result['bleu_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_meteor_score_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = float(result["meteor_score"][0]) + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert meteor score to float for {result['id']}: {result['meteor_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_judge_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + item_score = result["llm_score"][0] + pattern = r"(\d+)" + match = re.search(pattern, item_score) + + if match: + item_score = float(match.group(1)) + else: + item_score = 0 + + total_score += item_score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert llm score to int for {result['id']}: {result['llm_score']}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_execute_succ_rate_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = float(result["execute_success_rate"][0]) + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute success score to float for {result['id']}: {result['execute_success_rate'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_iou_score_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = float(result["iou_score"][0]) + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute iou score to float for {result['id']}: {result['iou_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_acc01_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = 1.0 if float(result["iou_score"][0]) > 0.1 else 0.0 + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute iou score to float for {result['id']}: {result['iou_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_acc03_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = 1.0 if float(result["iou_score"][0]) > 0.3 else 0.0 + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute iou score to float for {result['id']}: {result['iou_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_acc05_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = 1.0 if float(result["iou_score"][0]) > 0.5 else 0.0 + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute iou score to float for {result['id']}: {result['iou_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_acc07_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = 1.0 if float(result["iou_score"][0]) > 0.7 else 0.0 + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute iou score to float for {result['id']}: {result['iou_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 + + +def sfe_aggregate_acc09_results(results, args): + total_score = 0 + total_cnt = 0 + for result in results: + try: + score = 1.0 if float(result["iou_score"][0]) > 0.9 else 0.0 + if score < 0: + continue + total_score += score + total_cnt += 1 + except: + eval_logger.warning(f"Failed to convert execute iou score to float for {result['id']}: {result['iou_score'][0]}") + total_score += 0 + return total_score / total_cnt if total_cnt > 0 else -1 diff --git a/raw_data/earth/2023.zip b/raw_data/earth/2023.zip new file mode 100644 index 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{ + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import glob\n", + "import numpy as np\n", + "import xarray as xr\n", + "import cartopy.crs as ccrs\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from PIL import Image\n", + "from cartopy.mpl.ticker import LongitudeFormatter, LatitudeFormatter" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "data_dir = 'xxx/SFE-raw-data'\n", + "out_dir = './tmp'\n", + "\n", + "os.makedirs(out_dir, exist_ok=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## E008" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "temp = xr.open_mfdataset(sorted(glob.glob(f'{data_dir}/GODAS/*.nc')))\n", + "temp = temp.sel(time=slice('1991-01', '2020-12'))\n", + "temp_clim = temp.groupby('time.month').mean(dim='time')" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "region_map = {\n", + " # Tropical Pacific\n", + " 'Eastern Equatorial Pacific': [240, 280, -10, 0],\n", + " 'Western Pacific Warm Pool': [140, 190, 0, 10],\n", + " # Tropical Indian Ocean\n", + " 'Bay of Bengal': [80, 95, 5, 22],\n", + " # Eastern Boundary Upwelling Zone\n", + " 'Peru-Chile Coast': [280, 290, -30, -5],\n", + " 'California Coast': [235, 245, 25, 40],\n", + " # Western boundary strong current area\n", + " 'Kuroshio': [130, 150, 25, 35],\n", + " 'Gulfstream': [285, 295, 30, 40],\n", + " # High latitude sea areas\n", + " 'Labrador Sea': [300, 315, 50, 65],\n", + " # Coral reef distribution area\n", + " 'Red Sea': [32, 43, 12, 28],\n", + " # Coastal and marginal seas\n", + " 'Mediterranean': [0, 36, 30, 45]\n", + "}\n", + "regions = list(region_map.keys())" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cm = 1/2.54\n", + "\n", + "tick_size=7\n", + "label_size=8\n", + "\n", + "month = 7\n", + "\n", + "os.makedirs(f'{out_dir}/thermocline', exist_ok=True)\n", + "\n", + "for region in regions:\n", + " plt.figure(figsize=(6*cm, 8*cm), dpi=300)\n", + "\n", + " max_depth = 400\n", + " lon_min, lon_max, lat_min, lat_max = region_map[region]\n", + " values = temp_clim.sel(month=month, level=slice(0, max_depth), lon=slice(lon_min, lon_max), lat=slice(lat_min, lat_max)).mean(dim=['lon', 'lat'])\n", + " values = values - 273.15\n", + " plt.plot(values.pottmp.values, values.level.values, linewidth=1.5, marker='s', ms=2)\n", + "\n", + " plt.gca().set_facecolor('#f7f7f7')\n", + "\n", + " plt.xlabel('Temperature [°C]', fontsize=label_size)\n", + " plt.ylabel('Depth [m]', fontsize=label_size)\n", + "\n", + " plt.xticks(fontsize=tick_size)\n", + "\n", + " plt.yticks(np.arange(0, max_depth+1, 50), fontsize=tick_size, minor=True)\n", + " plt.yticks(np.arange(0, max_depth+1, 100), fontsize=tick_size, minor=False)\n", + "\n", + " plt.grid(which='major', axis='y', linestyle='--', alpha=0.7,)\n", + " plt.grid(which='minor', axis='y', linestyle=':', alpha=0.7,)\n", + "\n", + " plt.gca().invert_yaxis()\n", + " plt.savefig(f\"{out_dir}/thermocline/{region.replace(' ', '_')}.png\", bbox_inches='tight')\n", + "\n", + " plt.close()\n", + " plt.clf()" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "Image.open(f\"{out_dir}/thermocline/{regions[0].replace(' ', '_')}.png\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## E014" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "t2m = xr.open_dataset(f'{data_dir}/ERA5/t2m.nc')\n", + "t2m_1981_2020 = t2m.sel(valid_time=slice('1981-01', '2020-12'))\n", + "t2m_1981_2020_global_mean = t2m_1981_2020.mean(dim=['latitude', 'longitude'])\n", + "t2m_1981_2020_global_year_mean = t2m_1981_2020_global_mean.groupby('valid_time.year').mean()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cm = 1/2.54\n", + "plt.figure(figsize=(14*cm, 6*cm), dpi=300)\n", + "tick_size = 7\n", + "label_size = 8\n", + "\n", + "values = t2m_1981_2020_global_year_mean.t2m.values\n", + "x = np.arange(20)\n", + "\n", + "st_year = 1998\n", + "ed_year = 2017\n", + "\n", + "offset1 = st_year - 1981\n", + "offset2 = offset1 + 10\n", + "\n", + "plt.plot(x[9:11], values[offset1+9:offset1+11], color='black', linewidth=1.2, linestyle='--')\n", + "red_line = plt.plot(x[:10], values[offset1:offset1+10], color='tab:red', linewidth=1.2, \n", + " label=f'{st_year}-{st_year+9}', marker='o', ms=3)\n", + "blue_line = plt.plot(x[10:], values[offset2:offset2+10], color='tab:blue', linewidth=1.2,\n", + " label=f'{st_year+10}-{ed_year}', marker='s', ms=3)\n", + "\n", + "def add_slope_label(x_data, y_data, color):\n", + " coeff = np.polyfit(x_data, y_data, 1)\n", + " fit_y = np.polyval(coeff, x_data)\n", + " \n", + " mid_x = np.mean(x_data)\n", + " mid_y = np.polyval(coeff, mid_x)\n", + " \n", + " y_offset = 0.015 if coeff[0] > 0 else -0.015\n", + " va = 'bottom' if coeff[0] > 0 else 'top'\n", + " \n", + " slope_sci = \"{:.2e}\".format(coeff[0])\n", + " plt.text(mid_x, mid_y - y_offset, f'slope = {slope_sci}',\n", + " color=color, fontsize=tick_size, \n", + " ha='center', va=va, rotation=15, fontweight='bold') # 小角度旋转更美观\n", + " return fit_y\n", + "\n", + "fit_red = add_slope_label(x[:10], values[offset1:offset1+10], 'tab:red')\n", + "plt.plot(x[:10], fit_red, color='tab:red', linestyle='--', linewidth=1.2, zorder=1)\n", + "\n", + "fit_blue = add_slope_label(x[10:], values[offset2:offset2+10], 'tab:blue')\n", + "plt.plot(x[10:], fit_blue, color='tab:blue', linestyle='--', linewidth=1.2, zorder=1)\n", + "\n", + "\n", + "plt.ylim(278.15, 279.25) # Need to adjust according to the year\n", + "plt.yticks(np.linspace(278.1, 279.2, 12), fontsize=tick_size) # Need to adjust according to the year\n", + "plt.xticks(x, np.arange(st_year, ed_year+1), fontsize=tick_size, rotation=45)\n", + "plt.grid(which='major', axis='both', linestyle='--')\n", + "\n", + "plt.xlabel('Time [Year]', fontsize=label_size)\n", + "plt.ylabel('Surface Temperature [K]', fontsize=label_size)\n", + "\n", + "plt.legend(fontsize=8, ncol=2)\n", + "\n", + "os.makedirs(f'{out_dir}/era5_t2m_series', exist_ok=True)\n", + "\n", + "plt.savefig(f'{out_dir}/era5_t2m_series/{st_year}-{ed_year}.png', bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## E016" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [], + "source": [ + "godas_temp = xr.open_mfdataset(sorted(glob.glob(f'{data_dir}/GODAS/*.nc'))) - 273.15\n", + "godas_temp = godas_temp.sel(time=slice('1981-01', '2010-12'))\n", + "godas_temp_clim = godas_temp.groupby('time.month').mean(dim='time')\n", + "\n", + "bcc_temp = xr.open_mfdataset(sorted(glob.glob(f'{data_dir}/CMIP6/thetao*BCC-CSM2-MR*.nc')))\n", + "bcc_temp_clim = bcc_temp.sel(time=slice('1981-01', '2010-12')).groupby('time.month').mean(dim='time')\n", + "\n", + "cas_temp = xr.open_mfdataset(sorted(glob.glob(f'{data_dir}/CMIP6/thetao*CAS-ESM2-0*.nc')))\n", + "cas_temp_clim = cas_temp.sel(time=slice('1981-01', '2010-12')).groupby('time.month').mean(dim='time')\n", + "\n", + "inm_temp = xr.open_mfdataset(sorted(glob.glob(f'{data_dir}/CMIP6/thetao*INM-CM5-0*.nc')))\n", + "inm_temp_clim = inm_temp.sel(time=slice('1981-01', '2010-12')).groupby('time.month').mean(dim='time')" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [], + "source": [ + "region_map = {\n", + " # Tropical Pacific\n", + " 'Eastern Equatorial Pacific': [240, 280, -10, 0],\n", + " 'Western Pacific Warm Pool': [140, 190, 0, 10],\n", + " # Tropical Indian Ocean\n", + " 'Arabian Sea': [50, 70, 10, 25],\n", + " 'Bay of Bengal': [80, 95, 5, 22],\n", + " # Eastern Boundary Upwelling Zone\n", + " 'Peru-Chile Coast': [280, 290, -30, -5],\n", + " 'California Coast': [235, 245, 25, 40],\n", + " 'Benguela Current': [5, 15, -35, -15],\n", + " # Western boundary strong current area\n", + " 'Kuroshio': [130, 150, 25, 35],\n", + " 'Gulfstream': [285, 295, 30, 40],\n", + " 'East Australian Current': [150, 160, -40, -25],\n", + " # Subtropical Convergence Zone\n", + " 'Sargasso Sea': [310, 330, 20, 35],\n", + " 'South Pacific Subtropical': [240, 280, -40, -25],\n", + " # High latitude sea areas\n", + " 'Labrador Sea': [300, 315, 50, 65],\n", + " # Coral reef distribution area\n", + " 'Great Barrier Reef': [145, 155, -25, -10],\n", + " 'Caribbean Sea': [275, 300, 10, 25],\n", + " 'Red Sea': [32, 43, 12, 28],\n", + " # Coastal and marginal seas\n", + " 'East China Sea': [120, 130, 25, 35],\n", + " 'South China Sea': [105, 120, 5, 25],\n", + " 'Gulf of Mexico': [260, 280, 18, 30],\n", + " 'Mediterranean': [0, 36, 30, 45]\n", + "}\n", + "regions = list(region_map.keys())" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": {}, + "outputs": [], + "source": [ + "month = 12\n", + "max_depth = 400\n", + "\n", + "def plot(region, cmip_clim, cmip_name):\n", + " \n", + " lon_min, lon_max, lat_min, lat_max = region_map[region]\n", + " y1 = godas_temp_clim.sel(month=month, level=slice(0, max_depth), lon=slice(lon_min, lon_max), lat=slice(lat_min, lat_max)).mean(dim=['lon', 'lat'])\n", + " y2 = cmip_clim.sel(month=month, lev=slice(0, max_depth), lon=slice(lon_min, lon_max), lat=slice(lat_min, lat_max)).mean(dim=['lon', 'lat'])\n", + "\n", + " cm = 1/2.54\n", + " plt.figure(figsize=(6*cm, 8*cm), dpi=300)\n", + "\n", + " tick_size=7\n", + " label_size=8\n", + "\n", + " plt.plot(y1.pottmp.values, y1.level.values, color='black', linewidth=1.5, marker='o', ms=2.5, label='GODAS')\n", + " plt.plot(y2.thetao.values, y2.lev.values, color='tab:red', linewidth=1.5, marker='s', ms=2.5, label=cmip_name)\n", + "\n", + " plt.gca().set_facecolor('#f7f7f7')\n", + "\n", + " plt.xlabel('Temperature [°C]', fontsize=label_size)\n", + " plt.ylabel('Depth [m]', fontsize=label_size)\n", + "\n", + " plt.yticks(np.arange(0, max_depth+1, 50), fontsize=tick_size, minor=True)\n", + " plt.yticks(np.arange(0, max_depth+1, 100), fontsize=tick_size, minor=False)\n", + "\n", + " plt.grid(which='major', axis='y', linestyle='--', alpha=0.7,)\n", + " plt.grid(which='minor', axis='y', linestyle=':', alpha=0.7,)\n", + "\n", + " plt.gca().invert_yaxis()\n", + "\n", + " plt.legend(fontsize=8)\n", + "\n", + " os.makedirs(f\"{out_dir}/cmip6_cmp\", exist_ok=True)\n", + " plt.savefig(f\"{out_dir}/cmip6_cmp/{region.replace(' ', '_')}_{cmip_name}.png\", bbox_inches='tight')" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plot('Arabian Sea', bcc_temp_clim, 'BCC-CSM2-MR')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## E017" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [], + "source": [ + "t2m = xr.open_dataset(f'{data_dir}/ERA5/t2m.nc')\n", + "t2m_1991_2020 = t2m.sel(valid_time=slice('1991-01', '2020-12'))\n", + "t2m_clim = t2m_1991_2020.groupby('valid_time.month').mean(dim='valid_time')\n", + "t2m_ano = t2m_1991_2020.groupby('valid_time.month') - t2m_clim" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "cm = 1/2.54\n", + "plt.figure(figsize=(16*cm, 8*cm), dpi=300)\n", + "\n", + "tick_size=7\n", + "label_size=8\n", + "\n", + "time = '2020-04'\n", + "\n", + "ax = plt.subplot(projection=ccrs.PlateCarree(180))\n", + "\n", + "# extent = [0, 360, -90, 90]\n", + "extent = [0, 360, -60, 70]\n", + "ax.set_extent(extent, crs=ccrs.PlateCarree())\n", + "\n", + "lat_loc = np.arange(-60, 61, 30) #np.arange(-90, 91, 30)\n", + "lon_loc = np.arange(-180, 181, 60)\n", + "\n", + "ax.set_xticks(lon_loc, crs=ccrs.PlateCarree())\n", + "ax.set_yticks(lat_loc, crs=ccrs.PlateCarree())\n", + "ax.xaxis.set_major_formatter(LongitudeFormatter())\n", + "ax.yaxis.set_major_formatter(LatitudeFormatter())\n", + "\n", + "# tick size\n", + "ax.tick_params(labelsize=tick_size)\n", + "\n", + "ax.set_xlabel('Longitude', fontsize=label_size)\n", + "ax.set_ylabel('Latitude', fontsize=label_size)\n", + "\n", + "im = ax.imshow(t2m_ano.sel(valid_time=time, latitude=slice(70, -60)).t2m[0], extent=extent, transform=ccrs.PlateCarree(), cmap='RdBu_r', aspect='auto', vmin=-7, vmax=7)\n", + "ax.coastlines(color='black', linewidth=0.7)\n", + "\n", + "cb = plt.colorbar(im, pad=0.04, aspect=30, shrink=0.8, extend='both')\n", + "cb.ax.tick_params(labelsize=tick_size)\n", + "cb.set_label('Surface Temperature [K]', fontsize=label_size)\n", + "\n", + "os.makedirs(f'{out_dir}/era5_t2m_ano', exist_ok=True)\n", + "plt.savefig(f'{out_dir}/era5_t2m_ano/{time}.png', bbox_inches='tight')" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.10.16" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/raw_data/earth/vis_scripts/mos.ncl b/raw_data/earth/vis_scripts/mos.ncl new file mode 100644 index 0000000000000000000000000000000000000000..30d606624aff9541f0262ecd245e7ef16cd3f63e --- /dev/null +++ b/raw_data/earth/vis_scripts/mos.ncl @@ -0,0 +1,185 @@ + +data = yyyymmdd_time(2023, 2023, "integer") +pa1 = "H:/shum2022-2023/shum.daily.era5.2023.nc" +f1 = addfile(pa1, "r") +do a = 0,364 +pa = "H:/ERA511/"+data(a)+".nc" +f = addfile(pa, "r") +z1 = short2flt(f->z(:,{500},30:90:-1,250:320)) +u = short2flt(f->u(:,{850},30:90:-1,250:320)) +v = short2flt(f->v(:,{850},30:90:-1,250:320)) +t1 = short2flt(f->t(:,{500},30:90:-1,250:320)) +z = z1/9.8 +copy_VarCoords(z1, z) +t = t1-273.15 +copy_VarCoords(t1, t) +printVarSummary(z) +z_avg = dim_avg_n_Wrap(z, 0) +u_avg = dim_avg_n_Wrap(u, 0) +v_avg = dim_avg_n_Wrap(v, 0) +t_avg = dim_avg_n_Wrap(t, 0) +; print(f1) +q=f1->shum(a,{500},30:90:-1,70:140) +printVarSummary(q) + +qu700summ1 = new((/61,71/),float) +qv700summ1 = new((/61,71/),float) +sqdt700summ1 = new((/61,71/),float) +do i=0,60 +do j=0,70 + qv700summ1(i,j) = q(i,j)*v_avg(i,j)/9.8 + qu700summ1(i,j) = q(i,j)*u_avg(i,j)/9.8 + sqdt700summ1(i,j) = sqrt(qv700summ1(i,j)*qv700summ1(i,j)+qu700summ1(i,j)*qu700summ1(i,j))*1e3 +end do +end do + +copy_VarCoords(q, sqdt700summ1) +printVarSummary(sqdt700summ1) + +name = "f:/xiao/HXM/shum/hgt&shum"+data(a) +; ; name = "f:/xiao/SAH/tu/uvhgt100q1979" +wks = gsn_open_wks("png", name) +gsn_define_colormap(wks,"precip_11lev") + +FontHeightF = 0.013 +; ;------------------------------------------------ +resmp = True +resmp@gsnDraw = False +resmp@gsnFrame = False +resmp@tmXBMajorOutwardLengthF = 0 +resmp@tmXBMinorOutwardLengthF = 0 +resmp@tmYLMajorOutwardLengthF = 0 +resmp@tmYLMinorOutwardLengthF = 0 + +resmp@tmXTOn = False +resmp@tmYROn = False +resmp@pmTickMarkDisplayMode = "Always" +resmp@mpFillOn = True +resmp@mpDataSetName = "Earth..4" +resmp@mpDataBaseVersion = "MediumRes" +;resmp@mpDataSetName = "Earth..4" +resmp@mpAreaMaskingOn = True +resmp@mpMaskAreaSpecifiers = (/"China","Taiwan"/) +resmp@mpOutlineSpecifiers = (/"China","China:Provinces"/) +; resmp@mpOutlineSpecifiers = (/"China"/) +resmp@mpLandFillColor = "white" +resmp@mpInlandWaterFillColor = "white" +;resmp@mpLandFillColor = "navajowhite1" +resmp@mpOceanFillColor = "white" +;resmp@mpOutlineBoundarySets = "NoBoundaries" +resmp@mpNationalLineThicknessF = 3 +resmp@mpOutlineOn = True ; +resmp@mpGeophysicalLineColor = "black" +resmp@mpGeophysicalLineThicknessF = 0.5 +resmp@tmYLLabelFontHeightF = 0.013 +resmp@tmYRLabelFontHeightF = 0.013 + +resmp@mpMinLonF = 70. +resmp@mpMaxLonF = 140. +resmp@mpMinLatF = 0. +resmp@mpMaxLatF = 60. + resmp@tmXBLabelFontHeightF = 0.04 + resmp@tmYLLabelFontHeightF = 0.04 +resmp@tiXAxisFontHeightF = 0.03 +resmp@tiYAxisFontHeightF = 0.03 + +resss1 = True +; ress1 = resmp + resss1@gsnDraw = False + resss1@gsnFrame = False + resss1@gsnAddCyclic = False ;数据没有覆盖全球，设为False + resss1@vcRefAnnoOn = True + resss1@gsnRightString = "" +resss1@gsnLeftString = "" + resss1@gsnLeftStringFontHeightF = 0.05 + resss1@gsnRightStringFontHeightF = 0.05 + resss1@vcGlyphStyle = "FillArrow" ;LineArrow箭头CurlyVector长箭头 + ;res4@vcMinMagnitudeF = 5.0 ;不绘制小10的箭头 + resss1@vcWindBarbLineThicknessF = 3 + resss1@vcLineArrowThicknessF = 3 + resss1@vcMinDistanceF = 0.03 ;箭头之间的最小距离，防止高纬度地区绘制过多箭头 +;绘制参考箭头 + resss1@vcRefAnnoOn = True + ; ress1@vcRefMagnitudeF = 20.0 ;500标准箭头所表示的大小 + ; ress1@vcRefAnnoString2 = "20m/s" ; + resss1@vcRefMagnitudeF = 10.0 ;700标准箭头所表示的大小 + resss1@vcRefAnnoString2 = "10m/s" + resss1@vcRefLengthF = 0.03 ;在图形中的长度 + resss1@vcRefAnnoBackgroundColor = "white" ;背景颜色 + resss1@vcRefAnnoArrowLineColor = "black" + resss1@vcRefAnnoPerimOn = True ;关闭边框 + resss1@vcRefAnnoFontHeightF = 0.01 ;参考箭头标签字体大小 + resss1@vcRefAnnoString1On = False ;设定参考箭头上、 + resss1@vcRefAnnoString2On = True ; 下的字符 + resss1@vcRefAnnoParallelPosF = 1 ;水平移动参考箭头的位置 + resss1@vcRefAnnoOrthogonalPosF = -0.5 + + res500summ = True +res500summ@gsnDraw = False +res500summ@gsnFrame = False +res500summ@gsnLeftString = "" +res500summ@gsnRightString = "" +res500summ@cnInfoLabelOn = False +; res500summ@tiMainString = "(c) 500_preSummer2" ; add title +res500summ@cnLinesOn = True +res500summ@cnLineThicknessF = 4.0 ; 2 +; res500summ@cnLineThicknesses = (/3.0,3.0,3.0.3,0/) ; 2 +res500summ@cnLineColor = "purple" +res500summ@cnLineLabelFontColor = "purple" +res500summ@cnSmoothingOn = True +res500summ@cnLineLabelFontHeightF = 0.01;FontHeightF-0.002 +res500summ@cnLineLabelAngleF = 0 +res500summ@cnLineLabelsOn = True +res500summ@cnLevelSpacingF = 40.0 +res500summ@cnLineLabelsOn = True +; res500summ@cnMonoLineColor =False ;等值线颜色是否一致 +; res500summ@cnLevelSelectionMode = "ExplicitLevels" +; res500summ@cnLevels = (/16600/) +; res500summ@cnLineColors = (/"blue","blue","red","gold"/) +; res500summ@cnLevelSpacingF = 20 +res500summ@cnLineLabelDensityF = 1 ;increase the line labels/line +res500summ@cnLineLabelInterval = 1 ; labels for every line (default=2) +res500summ@tiMainFontHeightF = 0.013 +res500summ@tiMainOffsetYF = -0.005 +res500summ@cnSmoothingOn = True + +resz = True +resz@gsnDraw = False +resz@gsnFrame = False +resz@gsnLeftString = "" +resz@gsnRightString = "" +resz@cnInfoLabelOn = False +;resz@tiMainString = "(c) 500_preSummer2" ; add title +;resz@tiMainString = "(a) 700_preSummer2" ; add title + + resz@lbLabelBarOn = True ;关闭每幅图的色标 + resz@cnInfoLabelOn = False + resz@cnLineLabelsOn = False + ;res1@cnLevelSelectionMode = "AutomaticLevels" + resz@cnLevelSelectionMode = "ExplicitLevels" + ;resz@cnLevels = (/1.5,2,2.5,3,3.5,4,4.5,5,5.5/) + resz@cnLevels = (/1,1.5,2,2.5,3,3.5,4,4.5,5,5.5,6,6.5,7,7.5,8/) + resz@lbLabelFontHeightF = 0.013 + ;resz@cnLevels = (/2,3,4,5/) + ;resz@cnFillColors = (/0,122,82,162,194/) + ;resz@lbOrientation = "Vertical" + resz@cnFillOn = True + resz@cnLinesOn = False + resz@lbBoxLinesOn = False + resz@cnSmoothingOn = True + resz@lbBoxMinorExtentF = 0.15 + resz@lbBoxEndCapStyle = "TriangleBothEnds" + + +map = gsn_csm_map(wks, resmp) + +plotz700summ2 = gsn_csm_contour(wks, sqdt700summ1(:,:), resz) +overlay(map, plotz700summ2) +plotw700summ1 = gsn_csm_vector(wks, u_avg(:,:), v_avg(:,:),resss1) +overlay(map, plotw700summ1) +plotz2 = gsn_csm_contour(wks, z_avg(:,:), res500summ) +overlay(map, plotz2) +draw(wks) +frame(wks) + +end do \ No newline at end of file diff --git a/raw_data/earth/vis_scripts/precip.ncl b/raw_data/earth/vis_scripts/precip.ncl new file mode 100644 index 0000000000000000000000000000000000000000..788944f73a1c1b0cd65ce24d312d312c21cc593b --- /dev/null +++ b/raw_data/earth/vis_scripts/precip.ncl @@ -0,0 +1,103 @@ +data = yyyymmdd_time(2022, 2022, "integer") +; tp_y = new((/365,241,281/),float) +do a = 0,364 +; a = 0 +pa = "I:/ERA5/tp/era5.total_precipitation."+data(a)+".nc" +f = addfile(pa, "r") +tp=f->tp(:,120:360:-1,1000:1280) +tp1 = tp*1000 +copy_VarCoords(tp, tp1) +tp_d = dim_sum_n_Wrap(tp1, 0) +printVarSummary(tp_d) +; printMinMax(tp1, 0) +printMinMax(tp_d, 0) +; tp_en = tp_y(:,192:220,192:260) +; printVarSummary(tp_en) + + +name = "f:/xiao/HXM/pre/tp"+data(a) +wks = gsn_open_wks("png", name) +FontHeightF = 0.013 +; ;------------------------------------------------ +resmp = True +resmp@gsnDraw = False +resmp@gsnFrame = False +resmp@tmXBMajorOutwardLengthF = 0 +resmp@tmXBMinorOutwardLengthF = 0 +resmp@tmYLMajorOutwardLengthF = 0 +resmp@tmYLMinorOutwardLengthF = 0 + +resmp@tmXTOn = False +resmp@tmYROn = False +resmp@pmTickMarkDisplayMode = "Always" +resmp@mpFillOn = True +resmp@mpDataSetName = "Earth..4" +resmp@mpDataBaseVersion = "MediumRes" +;resmp@mpDataSetName = "Earth..4" +resmp@mpAreaMaskingOn = True +resmp@mpMaskAreaSpecifiers = (/"China","Taiwan"/) +resmp@mpOutlineSpecifiers = (/"China","China:Provinces"/) +; resmp@mpOutlineSpecifiers = (/"China"/) +resmp@mpLandFillColor = "white" +resmp@mpInlandWaterFillColor = "white" +;resmp@mpLandFillColor = "navajowhite1" +resmp@mpOceanFillColor = "white" +;resmp@mpOutlineBoundarySets = "NoBoundaries" +resmp@mpNationalLineThicknessF = 3 +resmp@mpOutlineOn = True ; +resmp@mpGeophysicalLineColor = "black" +resmp@mpGeophysicalLineThicknessF = 0.5 +resmp@tmYLLabelFontHeightF = 0.013 +resmp@tmYRLabelFontHeightF = 0.013 + +resmp@mpMinLonF = 70. +resmp@mpMaxLonF = 140. +resmp@mpMinLatF = 0. +resmp@mpMaxLatF = 60. + resmp@tmXBLabelFontHeightF = 0.04 + resmp@tmYLLabelFontHeightF = 0.04 +resmp@tiXAxisFontHeightF = 0.03 +resmp@tiYAxisFontHeightF = 0.03 + +cmap = read_colormap_file("precip3_16lev");"sunshine_9lev""WhiteYellowOrangeRed" +cmap1 = read_colormap_file("BlueWhiteOrangeRed") +resz = True +resz@gsnDraw = False +resz@gsnFrame = False +resz@gsnLeftString = "" +resz@gsnRightString = "" +resz@cnFillMode = "RasterFill" +resz@cnRasterSmoothingOn = True +; resz@gsnRightString = "" +resz@cnInfoLabelOn = False +resz@lbLabelBarOn = True ;关闭每幅图的色标 +resz@cnInfoLabelOn = False +resz@cnFillOn= True ;填色图 +resz@cnFillPalette = cmap;(2:190:25,:) ;"BlueWhiteOrangeRed""WhiteYellowOrangeRed" +resz@cnLinesOn = False ; 不绘制等值线值 +resz@cnLineLabelsOn = False ;关闭等值线值标注 +resz@cnLevelSelectionMode = "ManualLevels" ;手动设置 +resz@cnMinLevelValF = 5. +resz@cnMaxLevelValF = 50. +resz@cnLevelSpacingF = 5. +resz@lbLabelFontHeightF = 0.01 +resz@cnFillOn = True +resz@cnLinesOn = False +resz@cnSmoothingOn = True +resz@pmLabelBarOrthogonalPosF = 0.05 ;正的向上移 +resz@lbAutoManage = False +resz@pmLabelBarHeightF = 0.1 +resz@pmLabelBarWidthF = 0.5 +resz@lbLabelFontHeightF = 0.02 ;数字越大字号越小 +resz@lbBoxSeparatorLinesOn = False + +map = gsn_csm_map(wks, resmp) +resz@gsnRightString = data(a) +resz@gsnLeftString = "Precipitation " +plotz500summ1 = gsn_csm_contour(wks, tp_d(:,:), resz) +overlay(map, plotz500summ1) + +draw(wks) +frame(wks) +end do + diff --git a/raw_data/earth/vis_scripts/w.ncl b/raw_data/earth/vis_scripts/w.ncl new file mode 100644 index 0000000000000000000000000000000000000000..1a384a89220b5d6bb182e84c881de7d6095a42b8 --- /dev/null +++ b/raw_data/earth/vis_scripts/w.ncl @@ -0,0 +1,140 @@ +data = yyyymmdd_time(2023, 2023, "integer") +do a = 0,364 +pa = "H:/ERA511w/"+data(a)+".nc" +f = addfile(pa, "r") +w1 = short2flt(f->w(:,{500},30:90:-1,250:320)) +w = w1*(-100.) +copy_VarCoords(w1, w) +w_avg = dim_avg_n_Wrap(w, 0) + +pa1 = "H:/ERA511/"+data(a)+".nc" +f1 = addfile(pa1, "r") +z1 = short2flt(f1->z(:,{850},30:90:-1,250:320)) +z = z1/9.8 +copy_VarCoords(z1, z) +z_avg = dim_avg_n_Wrap(z, 0) +TP = "F:/xiao/Q1/TP/TP.shp" +name = "f:/xiao/HXM/W/w"+data(a) +; ; name = "f:/xiao/SAH/tu/uvhgt100q1979" +wks = gsn_open_wks("png", name) + +FontHeightF = 0.013 +; ;------------------------------------------------ +resmp = True +resmp@gsnDraw = False +resmp@gsnFrame = False +resmp@tmXBMajorOutwardLengthF = 0 +resmp@tmXBMinorOutwardLengthF = 0 +resmp@tmYLMajorOutwardLengthF = 0 +resmp@tmYLMinorOutwardLengthF = 0 + +resmp@tmXTOn = False +resmp@tmYROn = False +resmp@pmTickMarkDisplayMode = "Always" +resmp@mpFillOn = True +resmp@mpDataSetName = "Earth..4" +resmp@mpDataBaseVersion = "MediumRes" +;resmp@mpDataSetName = "Earth..4" +resmp@mpAreaMaskingOn = True +resmp@mpMaskAreaSpecifiers = (/"China","Taiwan"/) +resmp@mpOutlineSpecifiers = (/"China","China:Provinces"/) +; resmp@mpOutlineSpecifiers = (/"China"/) +resmp@mpLandFillColor = "white" +resmp@mpInlandWaterFillColor = "white" +;resmp@mpLandFillColor = "navajowhite1" +resmp@mpOceanFillColor = "white" +;resmp@mpOutlineBoundarySets = "NoBoundaries" +resmp@mpNationalLineThicknessF = 3 +resmp@mpOutlineOn = True ; +resmp@mpGeophysicalLineColor = "black" +resmp@mpGeophysicalLineThicknessF = 0.5 +resmp@tmYLLabelFontHeightF = 0.013 +resmp@tmYRLabelFontHeightF = 0.013 + +resmp@mpMinLonF = 70. +resmp@mpMaxLonF = 140. +resmp@mpMinLatF = 0. +resmp@mpMaxLatF = 60. + resmp@tmXBLabelFontHeightF = 0.04 + resmp@tmYLLabelFontHeightF = 0.04 +resmp@tiXAxisFontHeightF = 0.03 +resmp@tiYAxisFontHeightF = 0.03 + +cmap = read_colormap_file("WhiteBlue");"sunshine_9lev""WhiteYellowOrangeRed" +cmap1 = read_colormap_file("BlueWhiteOrangeRed") +resz = True +resz@gsnDraw = False +resz@gsnFrame = False +resz@gsnLeftString = "" +resz@gsnRightString = "" +resz@cnFillMode = "RasterFill" +resz@cnRasterSmoothingOn = True +; resz@gsnRightString = "" +resz@cnInfoLabelOn = False +resz@lbLabelBarOn = True ;关闭每幅图的色标 +resz@cnInfoLabelOn = False +resz@cnFillOn= True ;填色图 +resz@cnFillPalette = cmap;(2:190:25,:) ;"BlueWhiteOrangeRed""WhiteYellowOrangeRed" +resz@cnLinesOn = False ; 不绘制等值线值 +resz@cnLineLabelsOn = False ;关闭等值线值标注 +resz@cnLevelSelectionMode = "ManualLevels" ;手动设置 +resz@cnMinLevelValF = 5. +resz@cnMaxLevelValF = 50. +resz@cnLevelSpacingF = 5. +resz@lbLabelFontHeightF = 0.01 +resz@cnFillOn = True +resz@cnLinesOn = False +resz@cnSmoothingOn = True +resz@pmLabelBarOrthogonalPosF = 0.05 ;正的向上移 +resz@lbAutoManage = False +resz@pmLabelBarHeightF = 0.1 +resz@pmLabelBarWidthF = 0.5 +resz@lbLabelFontHeightF = 0.02 ;数字越大字号越小 +resz@lbBoxSeparatorLinesOn = False + + res500summ = True +res500summ@gsnDraw = False +res500summ@gsnFrame = False +res500summ@gsnLeftString = "" +res500summ@gsnRightString = "" +res500summ@cnInfoLabelOn = False +; res500summ@tiMainString = "(c) 500_preSummer2" ; add title +res500summ@cnLinesOn = True +res500summ@cnLineThicknessF = 4.0 ; 2 +; res500summ@cnLineThicknesses = (/3.0,3.0,3.0.3,0/) ; 2 +res500summ@cnLineColor = "purple" +res500summ@cnLineLabelFontColor = "purple" +res500summ@cnSmoothingOn = True +res500summ@cnLineLabelFontHeightF = 0.01;FontHeightF-0.002 +res500summ@cnLineLabelAngleF = 0 +res500summ@cnLineLabelsOn = True +res500summ@cnLevelSpacingF = 20.0 +res500summ@cnLineLabelsOn = True +; res500summ@cnMonoLineColor =False ;等值线颜色是否一致 +; res500summ@cnLevelSelectionMode = "ExplicitLevels" +; res500summ@cnLevels = (/16600/) +; res500summ@cnLineColors = (/"blue","blue","red","gold"/) +; res500summ@cnLevelSpacingF = 20 +res500summ@cnLineLabelDensityF = 1 ;increase the line labels/line +res500summ@cnLineLabelInterval = 1 ; labels for every line (default=2) +res500summ@tiMainFontHeightF = 0.013 +res500summ@tiMainOffsetYF = -0.005 +res500summ@cnSmoothingOn = True + +pres = True +; pres@gsLineColor = "gray40" +pres@gsFillColor = "gray40" +; pres@cnFillOn = True +pres@gsLineThicknessF = 2.0 + +map = gsn_csm_map(wks, resmp) +plotz500summ1 = gsn_csm_contour(wks, w_avg(:,:), resz) +overlay(map, plotz500summ1) +plotz2 = gsn_csm_contour(wks, z_avg(:,:), res500summ) +overlay(map, plotz2) + +plottp1 = gsn_add_shapefile_polygons(wks, map, TP, pres) +draw(wks) +frame(wks) + +end do \ No newline at end of file diff --git a/raw_data/life/L008/1chm.cif.gz b/raw_data/life/L008/1chm.cif.gz new file mode 100644 index 0000000000000000000000000000000000000000..2829746e093e6cb5fb3f578eb48274dcb24e2d3d --- /dev/null +++ b/raw_data/life/L008/1chm.cif.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:0e3ab70b6b1e825285bd29f909822c5650639460d42b92f531e55e2befbaf2a7 +size 170393 diff --git a/raw_data/life/L008/1lcj.cif.gz b/raw_data/life/L008/1lcj.cif.gz new file mode 100644 index 0000000000000000000000000000000000000000..d5c7454f3defd040f3c79ff5d7b8f71df0c18472 --- /dev/null +++ b/raw_data/life/L008/1lcj.cif.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:b3b0f4806ede89f301f00170719a7eb2da7fa30270b7d8e1d783684b11bd9c25 +size 37559 diff --git a/raw_data/life/L008/5otb.cif.gz b/raw_data/life/L008/5otb.cif.gz new file mode 100644 index 0000000000000000000000000000000000000000..c2218cbf8ea6f9b8bea57de9f8a24897bf5bc178 --- /dev/null +++ b/raw_data/life/L008/5otb.cif.gz @@ -0,0 +1,3 @@ +version https://git-lfs.github.com/spec/v1 +oid sha256:a25e039a31325ca34f6db40e53bf8801a327f58facf58e179821050d6d4860fe +size 946107 diff --git a/raw_data/life/L008/7eka.cif.gz b/raw_data/life/L008/7eka.cif.gz new file mode 100644 index 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+1,241 @@ +# STOCKHOLM 1.0 +#=GF ID Bacteria_large_SRP +#=GF AC RF01854 +#=GF DE Bacterial large signal recognition particle RNA +#=GF AU Gardner PP; 0000-0002-7808-1213 +#=GF GA 60.0 +#=GF NC 59.9 +#=GF TC 60.0 +#=GF PI SRP_bact_l; SRP_bact +#=GF SE Published; PMID:19838050 +#=GF SS Published; PMID:19838050 +#=GF TP Gene; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 28.00 -Z 2958934 CM SEQDB +#=GF CL CL00003 +#=GF DR URL; http://rnp.uthscsa.edu/rnp/SRPDB/SRPDB.html; +#=GF DR SO; 0000590; SRP_RNA; +#=GF DR GO; 0006617; SRP-dependent cotranslational protein targeting to membrane, signal sequence recognition; +#=GF DR GO; 0048501; signal recognition particle, plasma membrane targeting; +#=GF RN [1] +#=GF RM 12520023 +#=GF RT SRPDB: Signal Recognition Particle Database. +#=GF RA Rosenblad MA, Gorodkin J, Knudsen B, Zwieb C, Samuelsson T +#=GF RL Nucleic Acids Res 2003;31:363-364. +#=GF RN [2] +#=GF RM 12140321 +#=GF RT Prediction of signal recognition particle RNA genes. +#=GF RA Regalia M, Rosenblad MA, Samuelsson T +#=GF RL Nucleic Acids Res 2002;30:3368-3377. +#=GF RN [3] +#=GF RM 19838050 +#=GF RT Kinship in the SRP RNA family. +#=GF RA Rosenblad MA, Larsen N, Samuelsson T, Zwieb C +#=GF RL RNA Biol. 2009;6:508-516. +#=GF CC The signal recognition particle (SRP) is a universally conserved +#=GF CC ribonucleoprotein involved in the co-translational targeting of proteins +#=GF CC to membranes. The eukaryotic SRP consists of a 300-nucleotide 7S RNA +#=GF CC (RFAM:RF00017) and six proteins: SRPs 72, 68, 54, 19, 14, and 9. Archaeal +#=GF CC SRP consists of a 7S RNA and homologues of the eukaryotic SRP19 and SRP54 +#=GF CC proteins. In most bacteria, the SRP consists of a 4.5S RNA and the Ffh +#=GF CC protein (a homologue of the eukaryotic SRP54 protein). Some Gram-positive +#=GF CC bacteria (e.g. Bacillus subtilis) have a longer eukaryote-like SRP RNA +#=GF CC that includes an Alu domain [2]. The Alu domain of the longer SRP RNAs is +#=GF CC not included in this model and therefore the reported bounds of some +#=GF CC members are incorrect. The Signal Recognition Particle Database (SRPDB) +#=GF CC [1] provides compilations of SRP components, with phylogenetic data and +#=GF CC structural illustrations. +#=GF WK Signal_recognition_particle_RNA +#=GF SQ 92 + +CP000764.1/25247-25511 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CUCGCAAUCCGCUCU-AGCGAG-GCCGA---AUCCCU-UCUC-GAGGUUAU-GUUACU-GUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUACG---CAACGAGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +AE015929.1/2386853-2386584 CCGUGCUAGGU-GGGGAGGUAGCGGUUCCCUGUA--CUCGAAAUCCGCUUUAUGCGAG-ACUUA---AUUCCUUUGUU-GAGGGCGU-AUUUUU-GUGAAG-UCUGCC-CGAAGCACGU-AGU---GUUUGAAGAUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +CP000730.1/508055-508324 CCGUGCUAGGU-GGGGAGGUAGCGGUUCCCUGUA--CUCGAAAUCCGCUUUAUGCGAG-GCUUA---AUUCCUUUGUU-GAGGCCGU-AUUUUU-GCGAAG-UCUGCC-CAAAGCACGU-AGU---GUUUGAAGAUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +CP000485.1/25122-25386 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-----AGCGAGGCCGAAUCCCUUCUCG--AGGUUAU-GUUGCU-GUAAGG-CCUGCCUUAAGUA--AGUGGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +CP000029.1/101125-101225 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +X06802.1/5-269 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +D26185.1/90020-90284 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +CP000728.1/33073-33316 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-GUUGA---AUUCUUCGCCU--AGGCUUU--AACU-UGUGGGG-UCUG--GCCUGUAAAAGUGGU---GUU-GA-UAAUUGGGU---CCCACG---CAACGAAAA--UUC-AUGAACUCCGUCAGAUCCGGAAGGAAGCAGC +AE001437.1/136141-136243 -------------------------------------------------------------------------------------------------------------------------------------GAAUUGGGU---CCCACG---CAACGGAAA--UUC-AUGAACUCCGUCAGGUCCGGAAGGAAGCAGC +CP000736.1/536869-536969 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +BX571857.1/485579-485679 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +BA000017.4/525852-525952 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +D11420.1/5-270 CCGUGCUAAGCAGGCGAGGUAGCGGUGCCCCAUA--CCCGCAAUCCGCUCU-AGGAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-GUAAGG-UCUGCC-UUAAGUAAGU-GGC---GUU-GA-CGUCUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +D12926.1/388-490 -------------------------------------------------------------------------------------------------------------------------------------GGAGCGGGU---CCUGUG---CAACGCG---AACCCAUGAACCUGGUCAGGUCCGGAAGGAAGCAGC +AE016879.1/25115-25379 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-AGCGAG-GCCGA---AUCCCU-UCUC-GAGGUUAU-GUUGCU-GUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +U15684.1/154-183 ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------AACCAUGUCAGGUCCGGAAGGAAGCAGC +AL596173.1/263987-263721 UCGUGCUAGAC-GGGGAGGUAGCGGCGCCCUGUAA-CCCGCAAUCCGCUCU-AGCGGG-GUUGA---AUUCCU-CAUUUGAGGCAUC-GUAAUU-GUUUGGUCU-GCC-CUUGACAAGU-GGU---GUU-GA-AGGUUGGGU---CUUGCG---CAAUGGGAA--CCU-GUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AF269831.1/1333-1433 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +BA000018.3/501420-501689 CCGUGCUAGGU-GGGGAGGUAGCGGUUCCCUGUA--CUCGAAAUCCGCUUUAUGCGAG-GCUUA---AUUCCUUUGUU-GAGGCCGU-AUUUUU-GCGAAG-UCUGCC-CAAAGCACGU-AGU---GUUUGAAGAUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +CP000716.1/1385812-1385778 ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------GAACCGGGUCAGGUCCGGAAGGAAGCAGC +CP000726.1/37731-37974 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-GUUGA---AUUCUUCGCCU--AGACUUU--AACU-UGUGGGG-UCUG--GCCUGUAAAAGUGGU---GUU-GA-UAAUUGGGU---CCCACG---CAACGAAAA--UUC-AUGAACUCCGUCAGAUCCGGAAGGAAGCAGC +CP000448.1/35764-35828 CCGUGCUAGAU-GGGGAGGUAGCGGUGCCCUGUA-ACCUGCAACCCGCUAU-AGCAGG-GUCGA---AUUCC-------------------------------------------------------------------------------------------------------------------------------- +AF269814.1/2629-2729 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +X52144.1/697-961 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +CP001186.1/24962-25226 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-AGCGAG-GCCGA---AUCCCC-UCUC-GAGGUUAU-GUUGCU-GUAAGG-UCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +CP000227.1/25236-25338 -------------------------------------------------------------------------------------------------------------------------------------CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +CP001175.1/2823285-2823387 -------------------------------------------------------------------------------------------------------------------------------------AGGUUGGGU---CUUGCG---CAAUGGGA--ACCU-GUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AE017225.1/25229-25331 -------------------------------------------------------------------------------------------------------------------------------------CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +CP000246.1/54302-54566 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-AUCGA---AGUCCUCAUA--GAGGCUCU--AACUU-GUGGAG-UCUG--CCCUAUGUAAGUGGU---GUU-GA-GAGUUGGGC---CCCACG---CAAUGGAAA--CCU-GUGAACCUCGUCAGGUCCGGAAGGAAGCAGC +CP000002.3/30682-30947 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUAC-UC-GCAAUCCGCUCG-AGCGAG-GCCGA---AUCCCUUUCUC-GAGGUUCG--UUUACUUUAAGG-UCUGCC-UUAAGCAAGU-GGU---GUU-GA-CGCUUGGGU---CCUGCG---CAAUGGGA--AUCC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +ACHE01000060.1/4624-4355 CCGUGCUAGGU-GGGGAGGUAGCGGUUCCCUGUA--CUCGAAAUCCGCUUUAUGCGAG-ACUUA---AUUCCUUUGUU-GAGGACGU-AUUUUU-GUGAAG-UCUGCC-CGAAGCACGU-AGU---GUUUGAAGAUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +D11419.1/5-270 CCGUGCUAAGCGGGGGAGGUAGCGGUGCCCUGUA--CUCGCAAUCCGCUCU-AGCGAG-GCUGA---AUUCCU-UUCU-GAGGCUGG-UAUCCU-GUAGGG-UCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUCCGGGU---CCUGCG---CAAUGGGA--AUCC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +CP000560.1/27594-27646 ----------------------------------------------------------------------------------------------------------------------------------------------------------------GA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AM180355.1/20131-20368 --GUACUAGAU-GGGGAGGUAGCGGUGCCCUGUA-ACCUGCAAUCCGCUAU-AGCAGG-AUUGA---AUUCCAUCUAA--AGGCUUA-UUUUCU-GUAGG--GCCG--CCCUAAAUAAGUGGU---GUU-GA-UGCUUAGGU---CCUGCG---CAAUGAAAG--CUC-AUGAACCCCGUCAGAUCCGGAAGGAAGCAGC +AF368293.1/5-274 CCGUGCUAGGU-GGGGAGGUAGCGGUUCCCUGUA--CUCGAAAUCCGCUUUAUGCGAG-GCUUA---AUUCCUUUGUU-GAGGCCGU-AUUUUU-GCGAAG-UCUGCC-CAAAGCACGU-AGU---GUUUGAAGAUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +D11417.1/5-269 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-UCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +CP001215.1/24988-25252 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-AGCGAG-GCCGA---AUCCCU-UCUC-GAGGUUAU-GUUGCU-GUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGG---ACCCCGUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +CP000255.1/508278-508378 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +AP006627.1/47077-47179 -------------------------------------------------------------------------------------------------------------------------------------CGUUUGGGU---UCUGCG---CAACGGA---AACCCAUGAACCCUGUCAGGUCCGGAAGGAAGCAGC +CP001185.1/1535075-1535038 -------------------------------------------------------------------------------------------------------------------------------------------------------------------------GUGAACCGGGUCAGGUCCGGAAGGAAGCAGC +D13041.1/5-269 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AE017194.1/25229-25331 -------------------------------------------------------------------------------------------------------------------------------------CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +X12642.1/292-556 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +ACFR01000004.1/173539-173639 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +D11412.1/5-269 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-AGC-AG-GCCGA---AUCCCC-UCUC-GAGGUUAU-GUUGCU-GUAAGG-UCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +D11416.1/5-269 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AE015927.1/24077-23975 -------------------------------------------------------------------------------------------------------------------------------------GAAUUGGGU---CCCACG---CAACGGAAA--CUC-AUGAAACCCGUCAGGUCCGGAAGGAAGCAGC +AE017333.1/30486-30751 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUAC-UC-GCAAUCCGCUCG-AGCGAG-GCCGA---AUCCCUUUCUC-GAGGUUCG--UUUACUUUAAGG-UCUGCC-UUAAGCAAGU-GGU---GUU-GA-CGCUUGGGU---CCUGCG---CAAUGGGA--AUCC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AM412317.1/37716-37959 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-GUUGA---AUUCUUCGCCU--AGACUUU--AACU-UGUGGGG-UCUG--GCCUGUAAAAGUGGU---GUU-GA-UAAUUGGGU---CCCACG---CAACGAAAA--UUC-AUGAACUCCGUCAGAUCCGGAAGGAAGCAGC +D11415.1/5-268 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CUCGCAAUCCGCUCU-AGC-AG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UCAAGG-UCUGCC-UUAAAUAAGU-GGU---GUU-GA-CGUCUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AL591984.1/65413-65311 -------------------------------------------------------------------------------------------------------------------------------------AGGUUGGGU---CUUGCG---CAAUGGGA--ACCU-GUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +CP000382.1/2507879-2507649 -CGUGCUAGAC-GGGAAGUUAGCGGUGUCCUGU--ACCUGCAAUCCGCUAU-AGCAGG-GUUGA---AUUCCUCGUUG--AGGCUUU-AAAAUG-GGAGG--UCUG--GCUUAUAUAAGUGGC---GUU-GA-GAAUUGGGC---CCUACG---CAAUAGGAA--CUC-AUGAACCCCGUCAGGUCCGGAAGGAAGCAGC +CP000727.1/37731-37974 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-GUUGA---AUUCUUCGCCU--AGACUUU--AACU-UGUGGGG-UCUG--GCCUGUAAAAGUGGU---GUU-GA-UAAUUGGGU---CCCACG---CAACGAAAA--UUC-AUGAACUCCGUCAGAUCCGGAAGGAAGCAGC +BA000043.1/27043-27145 -------------------------------------------------------------------------------------------------------------------------------------CGUCUGGGU---CCCGCG---CAAUGGG---AUUCCGUGAACCCUGUCAGGUCCGGAAGGAAGCAGC +BA000004.3/46485-46751 CCGUGCUAGGU-GGGGAGGUAGCGGUGCCCUGUCA-CUCGCAAUCCGCUAU-AGCGAG-GCUGA---AUCCCU-UCUA-GAGGUUUU--GUCACCGUAGGG-UCUGCC-CUAAGUAAGU-GGU---GUU-GA-CGCUUGGGU---UCUACG---CAACGAAA--ACCC-ACGAACCCUGUCAGGUCCGGAAGGAAGCAGC +CP000702.1/1631640-1631756 --------------------------------------------------------------------------------------------------------------------------------GGGGGCGAUGAAGA-CCGGGUCCCACGCAACGGA-ACCCU-GUGAACCUGGUCAGGCCCGGGAGGGAGCAGC +CP000253.1/444208-444308 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +CP000046.1/524416-524685 CCGUGCUAGGU-GGGGAGGUAGCGGUUCCCUGUA--CUCGAAAUCCGCUUUAUGCGAG-GCUUA---AUUCCUUUGUU-GAGGCCGU-AUUUUU-GCGAAG-UCUGCC-CAAAGCACGU-AGU---GUUUGAAGAUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAACCAUGUCAGGUCCUGACGGAAGCAGC +CP000001.1/25120-25384 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-AGCGAG-GCCGA---AUCCCU-UCUC-GAGGUUAU-GUUGCU-GUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +CP001283.1/25232-25334 -------------------------------------------------------------------------------------------------------------------------------------CGUUUGGGU---CCUGCG---CAACGGG---ACCCCGUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +AE017262.2/2736493-2736285 --------------------------------------------------------------GA---AUUCCU-CAUUUGAGGCAUC-GUAAUU-GUUUGGUCU-GCC-CUUGACAAGU-GGU---GUU-GA-AGGUUGGGU---CUUGCG---CAAUGGGA--ACCU-GUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +D11421.1/5-270 CCGUGCUAAGCGGGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +CP001598.1/25015-25279 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUAUA--CUCGCAAUCCGCUCU-AGCGAG-GCCGA---AUCCCU-UCUC-GAGGUUAU-GUUGCU-GUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAACGGGA--CCCC-GUGAACCUUGUCAGGUCCGGAAGGAAGCAGC +D14472.1/475-743 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--------------------------------------------------------------------------------------------------------------------------------------------------------------------------CGAACCGUGUCAGGUCCGGAAGGAAGCAGC +D49784.1/286-550 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-AUCGA---AGUCCUCAUA--GAGGCUCU--AACUU-GUGGAG-UCUG--CCCUAUGUAAGUGGU---GUU-GA-GAGUUGGGC---CCCACG---CAAUGGAAA--CCU-GUGAACCUCGUCAGGUCCGGAAGGAAGCAGC +AL009126.3/26420-26684 CCGUGCUAAGC-GGGGAGGUAGCGGUGCCCUGUA--CCUGCAAUCCGCUCU-AGCAGG-GCCGA---AUCCCU-UCUC-GAGGUUCG-UUUACU-UUAAGG-CCUGCC-UUAAGUAAGU-GGU---GUU-GA-CGUUUGGGU---CCUGCG---CAAUGGGA--AUUC-AUGAACCAUGUCAGGUCCGGAAGGAAGCAGC +AP006716.1/2548377-2548277 --------------------------------------------------------------------------------------------------------------------------------------AUUUCGGU---CCUAUG---CAAUAUGA--ACCC-AUGAAUCAUGUCAGGUCCUGACGGAAGCAGC +D11413.1/5-264 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CCGUGCUAGAU-GGGGAGGUAGCGGUGCCCUGUA-ACCCGCAAACCGCUAU-AGCGGG-GUUGA---AGUCCCA------------------------------------------------------------------------------------------------------------------------------ +BA000016.3/54529-54793 CCGUGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAC-AGCAGG-AUCGA---AGUCCUCAUA--GAGGCUCU--AACUU-GUGGAG-UCUG--CCCUAUGUAAGUGGU---GUU-GA-GAGUUGGGC---CCCACG---CAAUGGAAA--CCU-GUGAACCUCGUCAGGUCCGGAAGGAAGCAGC +CP000721.1/5829625-5829394 ---UGCUAGAU-GGGGAGUUAGCGGUGCCCUGUAA-CCUGCAAUCCGCUAU-AGCAGG-AUUGA---AUUCCUCGCUU--AGGUAUU--AGCGAUUUAUAG-UCUG--ACUUUUGUAAGUGGU---GUU-GA-UGACUGGGU---CCCACG---CAAUGGAAG--CCC-AUGAACCUCGUCAGAUCUGGAAGGAAGCAGC +AE008691.1/46248-46514 CCGUACUAGAU-GGGGAGGUAGCGGUGCCCUGUAG-CCUGCAACCCGCUAU-AGCAGG-GUCGA---AUUCCCAGGCU-GAGGCCUGA-UUUCU-GUAAGG-CCUG--GCGCAAGUAAGUGGCGUU-GA-UACUUGA-GU--CCUGCG------CAACGGAGA--UUU-GCGAACCCCGUCAGGUCCGGAAGGAAGCAGC +X15523.1/2-266 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GGUAAGUGAGAACUCCUA-UGUG---CCGUAGG--UAAAC-CUGGUUUG-----AGUUAACU-AUAUAAGUAACG---------------------------------------- +CP000727.1/37731-37974 GGUAAGUGAACACUUUCG-UGUG---CCGUGGA--UAAAC-CUGAUUUG-----AGCUAACU-GUACAGGUAACG---CUCAU--AAGUUA------------------------ +BA000043.1/27043-27145 AGUAAGCGGAUGCUCCCA-UGUG---CCGCGGG--GACGC-CUGGGCUG-----AGC---------------------------------------------------------- +BA000004.3/46485-46751 AGUAAGUGGCCCCUUUCG-UGUG---CCGUAGA--GUCGC-CUGGGCCG-----AGCU-AACU-GCUCAG--GUAACGCCUAGG-GUGGC--AUGAUCGAAGGA-AGGUGCACGG +CP000702.1/1631640-1631756 CAUAAGCAGGUGUUUCCGUGUG---CCGUGGGGG-AG-CC-CGGUUGGAGCCUU------------------------------------------------------------- +CP000253.1/444208-444308 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AG----------------------------------------------------------- +CP000046.1/524416-524685 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AGCU-AACG-ACUUUG--GUUACGUUCGU--GAAUU--ACGUUCGAUGCUUAGGUGCACGG +CP000001.1/25120-25384 AAUAAGCGGGUCUUCUCG-UGUG---CCGCAGG--AGUGC-CUGAACCG-----AGCU-AACU-GCUUAA--GUAACGCUUAUG-G-UAC--GUAAUCGACAGA-AGGUGCACGG +CP001283.1/25232-25334 AAUAAGCGGGUCUUCUCG-UGUG---CCGCAGG--AGUGC-CUGAACCG-----AGC---------------------------------------------------------- +AE017262.2/2736493-2736285 AUUAAGCAGUGCUUCUCA-UGUG---CCGCGAG--GUCGC-CUGGCCCG-----AGCU-AACU-AUCAGG--GUAACGCAGAU--GAUUGC--AUGUCGAUGUG-AGGUGCGCGA +D11421.1/5-270 AUUAAGUGAAACCUCUCA-UGUG---CCGCAGG--GUUGC-CUGGGCCG-----AGCU-AACU-GCUUAA--GUAACGCUUAG--GGUAG--CGAAUCGACAGA-AGGUGCACGG +CP001598.1/25015-25279 AAUAAGCGGGUCUUCUCG-UGUG---CCGCAGG--AGUGC-CUGAACCG-----AGCU-AACU-GCUUAA--GUAACGCUUAUG-G-UAC--GUAAUCGACAGA-AGGUGCACGG +D14472.1/475-743 CAUAAGUGGAUCAUCGCG-UGUG---CCGCAGG--GUAGC-CUGCUCUG-----AGCU-GCUA-CCAUAA--GUAACGCUCGG--AUAAG-GAUUAUCGAAGAU-AGGUGCACGG +CP000703.1/536798-536898 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AG----------------------------------------------------------- +AP009324.1/527299-527399 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AG----------------------------------------------------------- +D11422.1/5-266 AGUAAGUGGCCCCUUUCG-UGUG---CCGUAGA--GUCGC--UGGGCCG-----AGCU-AACU-GCUCAG--GUAACGCUAGG--GUGGC--AUGAUCGACAGA-AGGUGCACGG +CP000141.1/2376482-2376447 ACUAAG------------------------------------------------------------------------------------------------------------- +D49784.1/286-550 GAUAAGCAGUCAUUUUCA-UGUG---CCGUGGA--UACGU-CUGGCUUG-----AGCUAACU-GCAUAGGUAACG---UUCAU--AAGUU--AUUGUCG-AAGUGAGGUGCACGG +AL009126.3/26420-26684 AUUAAGUGAAACCUCUCA-UGUG---CCGCAGG--GUUGC-CUGGGCCG-----AGCU-AACU-GCUUAA--GUAACGCUUAG--GGUAG--CGAAUCGACAGA-AGGUGCACGG +AP006716.1/2548377-2548277 AUUAAGUGGAUCCUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUUAG---------------------------------------------------------------- +D11413.1/5-264 AAUAAGCGGU-CUUCUCG-UGUG---CCG-AG---AGUGC-CUGAACCG-----AGCU-AACU-GCUUGA--GUAACG-UUAU--GGUAC--GUAAUCGACAGA-AGGUGCACGG +D11414.1/5-268 AGUAAGCAGAACCUCUCA-UGUG---CCAUGGG--GUCGC-CUGAACCG-----AGCU-AACU-GCUUAA--GUAACGCCUGG--GGUGG--CUAAUCGACAGA-AGGUGCACGG +X14796.1/291-555 AUUAAGUGAAACCUCUCA-UGUG---CCGCAGG--GUUGC-CUGGGCCG-----AGCU-AACU-GCUUAA--GUAACGCUUAG--GGUAG--CGAAUCGACAGA-AGGUGCACGG +CP000557.1/25310-25574 AGUAAGCGGAUGCUCCCA-UGUG---CCGCGGG--GGUGC-CUGGGCUG-----AGCUA-ACU-ACUUGA--GCAACGCUCGG--GGCAGC--UAAUCGACAGA-AGGUGCACGG +CP000232.1/28709-28775 ------------------------------------------------------------------------------------------------------------------- +BA000016.3/54529-54793 GAUAAGCAGUCAUUUUCA-UGUG---CCGUGGA--UACGU-CUGGCUUG-----AGCUAACU-GCAUAGGUAACG---UUCAU--AAGUU--AUUGUCG-AAGUGAGGUGCACGG +CP000721.1/5829625-5829394 GAUAAGUGGUUCCUUCCA-UGUG---CCGUGGA--UCAAU-CUGGUCUG-----AGCUAACU-GCAUUAGUAACG---U------------------------------------ +AE008691.1/46248-46514 GGUAAGCAAACACCUCCG-UGUGCCGCAGG--GGU-GCUUGAGUGG--------AGCUAACU-GCUUGCGUAACG---CUUAU--GGGGA--CAGGUCG-AAGCUGGGUGUACGG +X15523.1/2-266 AGUUAGCGGAUGCUCCCA-UGUG---CCGCGGG--GGCGC-CUGGGCUG-----AGCC-AACU-GCUUGA--GCAACGCUCGG--GGCAG--CUAAUCGACAGA-AGGUGCACGG +BA000028.3/30821-31086 AGUAAGUGGUUAUUCUUG-UGUG---CCGCAGG--GAAGC-CUAGGCCG-----AGCC-AUGA-ACUUAU--GUAGCGCAUAG--GGUCG-UUUCAUCGACAGU-GGGUGCACGU +CP000724.1/39593-39767 GGUAAG------------------------------------------------------------------------------------------------------------- +CP000813.1/551215-551244 AU----------------------------------------------------------------------------------------------------------------- +D11418.1/5-269 AUUAAGUGAAACCUCUCA-UGUG---CCGCAGG--UUGCC-UUGGGCCG-----AGCU-AACU-GCUUAA--GUAACGCUUAG--GGUAG--CGAAUCGACAGA-AGGUGCACGG +AE000512.1/1124728-1124612 CAUAAGCAGGUGUUUCCGUGUG---CCGUGGGGG-AG-CC-CGGUUGGAGCCUU------------------------------------------------------------- +AC025951.19/16428-16528 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AG----------------------------------------------------------- +AJ938182.1/468421-468690 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AGCU-AACG-ACUUUG--GUUACGUUCGU--GAAUU--ACGUUCGAUGCUUAGGUGCACGG +CP000568.1/2549377-2549203 GGUAAG------------------------------------------------------------------------------------------------------------- +AP008934.1/2359274-2359174 AUUAAGUGGAUCAUCGUA-UGUG---CCGUAGG--GUUGC-CGAGAUUUAG---------------------------------------------------------------- +AP009351.1/497755-498024 AUUAAGUGGAUCAUCAUA-UGUG---CCGUAGG--GUAGC-CGAGAUUU-----AGCU-AACG-ACUUUG--GUUACGUUCGU--GAAUU--ACGUUCGAUGCUUAGGUGCACGG +CP000312.1/54097-54361 GAUAAGCAGUCAUUUUCA-UGUG---CCGUGGA--UACGU-CUGGCUUG-----AGCUAACU-GCAUAGGUAACG---UUCAU--AAGUU--AUUGUCG-AAGUGAGGUGCACGG +AP009049.1/3810996-3810763 GGUAAGUGAAUAUUUUUG-UGUG---CCGUGGA--UAAAC-CUGGUUUG-----AGUUAACU-AUAUGGGUAACG---CU----------------------------------- +#=GC SS_cons >>>->>>>>>>-->>>>>.>>--...->>>>>>..--->>.>>>>>>>-.....->>>.->>..>>>>>>..->>...>>>>>..>>>>>...>>>>>>.>>>>.>>>]]]]]]] +#=GC RF aguAagcgggucuucccg.ugUG...CCgcaGg..guugC.Ccgggcgg.....AgCc.Acc..gcucgg..gca...cccac..ggggg...gggcCg.gagg.aGGgGCaCGg +// diff --git a/raw_data/life/L017/0001-RF01747.stockholm b/raw_data/life/L017/0001-RF01747.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..7d78364417dea21843813aa1b28566d2433bbab2 --- /dev/null +++ b/raw_data/life/L017/0001-RF01747.stockholm @@ -0,0 +1,148 @@ +# STOCKHOLM 1.0 +#=GF ID msiK +#=GF AC RF01747 +#=GF DE msiK RNA +#=GF AU Weinberg Z; 0000-0002-6681-3624 +#=GF GA 33.0 +#=GF NC 32.9 +#=GF TC 34.6 +#=GF SE Published; PMID:20230605; +#=GF SS Published; PMID:20230605; +#=GF TP Cis-reg; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 18.00 -Z 2958934 CM SEQDB +#=GF DR SO; 0005836; regulatory_region; +#=GF RN [1] +#=GF RM 20230605 +#=GF RT Comparative genomics reveals 104 candidate structured RNAs from bacteria, +#=GF RT archaea and their metagenomes. +#=GF RA Weinberg Z, Wang JX, Bogue J, Yang J, Corbino K, Moy RH, Breaker RR +#=GF RL Genome Biol. 2010;11:R31. +#=GF WK MsiK_RNA_motif +#=GF ** seedtax: Bacteria; unclassified sequences +#=GF SQ 120 + +BAAY01007686.1/255-195 AAAGAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--GACAAAUC +AACY023308612.1/1044-986 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +BX248355.1/160867-160810 CACUUUAU----UUCUUCUACU-CGGAUCGUUCGGCACGUACCUGCCGAUA-AAGAA---UGGAGUU- +AACY020556781.1/1408-1350 CGAACA-----UCGCUCUUACUUCGGAUCGUCCGGCACGUUCCUGCCGGUGAGAG-GA--ACCACCA- +AACY023290927.1/440-498 GGCCAUCA-----CCUUCAUCCUCGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023803192.1/795-737 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AACY023828838.1/892-834 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020296654.1/3720-3776 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023817491.1/7-64 UGUUGGAUG-----CUUUCACCACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023314832.1/131-189 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAAG----GAGUGCUA +AACY022653449.1/402-460 GCGCGGCA-----UCCAUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGA----GAAAAUAA +AACY021215036.1/138-80 UGGA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AM849034.1/2895497-2895439 GCAUCACA-----UCCAUCACCACGGAUCGUCGGGCACGUACCUGCCCGUGAAGGA----GAACACCG +AACY020059319.1/116-58 UGGA-----CUUGCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGAGA--- +CP000667.1/4785498-4785555 CGGCCCGC-----UCUUUCACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAAGG----AAGCACCC +AACY022515996.1/291-233 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY023808612.1/943-1001 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGU-AAGAGA---GGAAAAA- +AE014295.3/1661060-1661118 GAACAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--UAGUAA-- +AACY020309138.1/212-270 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020711540.1/892-834 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AACY020801666.1/396-454 UGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGCAU--- +AACY023816586.1/1430-1488 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AE017283.1/439778-439720 GUCACCGA-----UUUUCCACAACGGAUCGUCGGGCACGUACCUGCCCGUGGAAAG----GAACAACG +CP001341.1/953078-953020 AAACAUGAA----CCAUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GG----GAUUGAUA +AAMN01000005.1/40921-40863 GGGUUU-----UUCCCUUUACAACGGAUCGUCCGGCACGUUCCUGCCGGUGAAGG-AA--GGCAAUG- +AACY020530366.1/1402-1460 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020523976.1/2197-2141 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023442678.1/506-448 CCCA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGGAA--- +AACY023841016.1/464-520 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY021171437.1/836-780 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY021496387.1/154-96 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020303265.1/68-126 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020599560.1/709-651 UGGA-----CUUGCUUCAUCCAACGGAUGGUCGGGCACGUACUUGCCCCGAGAAGG-AAGAGAAA--- +AACY020064545.1/673-730 AAGAGGC----AC-UCGUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY020470988.1/2403-2346 ACGAGGC----ACUC-AUCACGAAGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY023319023.1/289-231 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023331894.1/236-178 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023355258.1/868-926 AAAUCGUU----UCCAUUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAAAACA- +AACY020170145.1/1281-1223 AGGAUGA-----CCUAUCUCCAACGGAUCGUCCGGCACGUACCUGCCGGGAGA-GGG---AGCUAACG +AACY023323829.1/260-317 GGCUAACG-----CCUUACCCU-CGGAACGUCGGGCACGUACCUGCCCGGAUAAGG----AAGAAAUA +AACY023430589.1/1577-1636 -CCGUGAGA---CCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGA-GAAGG---AGUAAACA +AACY020169821.1/1024-1081 UGGUCGCAA-----UACUUCCAAAGGAUCGUCGGGCACGUACCUGCCCGGAAGGA-----GAAAAAAU +AACY020177699.1/315-373 UGGA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AACY020051425.1/729-671 UGGA-----CUUGCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGAGA--- +AACY023443860.1/741-683 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGUAAUA +AACY020058740.1/867-924 AAGAGGC----AC-UCGUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY023834223.1/295-237 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY022769167.1/65-123 GGGA-----CUUACUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGAAA--- +AACY023291338.1/1308-1251 GCCAUAAC-----CUUCAUCCU-CGGAUCGUCGGGCACGUACCAGCCCGGAUAAGG----AAGUCUUC +AP009256.1/2026471-2026413 ACAAAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--GACAAA-- +AACY023838183.1/673-731 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY023836095.1/167-109 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AACY021127318.1/81-23 GGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AACY023352948.1/821-764 AGCGAUCA----C-CUAUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAG---AAACAA-- +AACY023256209.1/29-86 ACGAGGC----ACUC-AUCACGAAGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY020538448.1/527-469 CUCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY023318012.1/501-443 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGAAAU +AACY022901723.1/625-567 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AE016822.1/1880494-1880552 CCACAUCA-----UCCAUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGA----GAACACGA +AACY023844945.1/1161-1219 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY021052297.1/178-120 GGAGUAAC-----CUCCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAAGGAG----AGCUAGAA +AACY021345393.1/154-96 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020554771.1/6628-6686 UGGA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AACY020176623.1/1738-1796 AAAAAGAC-----CUUCAUCCAACGGAACGUCGGGCACGUACCUGCCCGGAAGAAG----GAGUAAAA +AACY023795141.1/1172-1114 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020619186.1/175-233 CUCG-----CUUACUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +ABMI01052056.1/105-49 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023836412.1/551-495 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023792959.1/1429-1476 ---------------UUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023294700.1/958-1016 CAGUA----ACU-CUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAGAAGG-AGUAAGUA--- +AACY022775623.1/200-141 GCUGGCG-----CCUUUAUCCAACGGAUCGUCGGGCUCGUACCUGCCCGGUUAAGGG---AGUUACUU +AACY020468017.1/554-613 -CCGUGAGA---CCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGA-GAAGG---AGUAAACA +AACY023982826.1/13-71 GACCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023340538.1/662-720 GCUCAUCA-----CCUUCACCUACGGAUCGUCGAGCACGUACCUGCUCGGAGAAGG----AGAAAUUC +AACY020296024.1/375-317 CGAACA-----UCUCUCUUACUUCGGAUCGUCCGGCACGUUCCUGCCGGUGAGAG-GA--ACCACCU- +AACY023434470.1/1454-1512 UGGA-----CUUACUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +U12007.1/36-95 -CACCACCA---CCUUCCUACAACGGAUCGUCCGGCACGUUCCUGCCGGUAG-AAGG---GGGCCCUU +AACY023331001.1/307-249 UGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGAAAUA +BA000030.3/4887082-4887138 UGGACACCA-----CCUUUACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAGG-----GGGCCCCU +AACY020525511.1/587-645 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020011956.1/378-436 GGGUGGGU----UCCAUUCACAAAGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAAAAUC- +AAOB01000005.1/162025-162083 GAUCGCUG----UCCAUUCACUAAGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAAAAAU- +AACY020307023.1/1756-1814 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGU-AAGAGA---GGAAAAA- +AACY023801115.1/426-484 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +CP000750.2/1372523-1372582 -UGAAGACC---CCAUUCCACAACGGAUCGUCCGGCACGUACCUGCCGGUGGAA-GG---ACACACGA +CP000605.1/1702669-1702727 GAACAAAU-----CCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGG----AUUAGUAA +AACY023315685.1/655-597 GGUUAGCA-----CCUUCAUCCUCGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAAUUAC +CP000850.1/5276815-5276872 CGGUCCGU-----UCUUUCACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAAGG----AAGCACCC +AACY023818985.1/972-916 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023293856.1/1006-1063 ACCAGCAC-----CUUCAUCCU-CGGACCGUCGGGCACGUACCUGCCCGGAUAAGG----AAAUGUAA +AACY020165622.1/5444-5502 CCAC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGAAA--- +AACY023826769.1/1080-1024 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY020533395.1/706-648 GGCUGUCG----UCUCUUCACGACGGAUCGUCCGGCACGUACCUGCCGGU-AAGAGA---GGAAAAA- +AACY023292971.1/264-205 CAGUGAGA----CCUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGA-GAAGG---AGUAAUUA +AP006618.1/5869874-5869931 UGCCGACA-----CCCUGUACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAGGG----AAGUAUCU +AACY020524589.1/159-101 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020296610.1/2203-2147 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY020172986.1/652-594 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGUAAUA +CP000474.1/988504-988446 GAAAAUGAA----CCAUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GG----GAUUGAUA +AACY020174331.1/171-229 GUGUAGGG----CUCUAUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGA-GGAG---AAAAAAU- +AACY020176753.1/132-74 UGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGCAU--- +AACY023806029.1/782-838 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023822562.1/1011-1067 CCGUCG------UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-GGAGA---GGAAAAA- +AACY023799473.1/826-768 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY022641081.1/812-869 CCACCUUU-----CUUCUUACAACGGAUCGUCCGGCACGUUCCUGCCGGUGA-GAG----GACUUGUC +AACY021867778.1/709-766 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAA-- +AAQK01003194.1/85-143 ACAAAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--GACAAA-- +AY842007.1/445-387 UUCACUG----UUUCUCACACUACGGAUCGUUCGGCACGUACCUGCCGAUG-GAGGAG--AUUCUG-- +AACY023826784.1/354-298 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY020467656.1/1124-1066 GGCCAUCA-----CCUUCAUCCUCGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +CP000431.1/4502789-4502731 CGGCACAC----CCCUAACACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGG-AGGG---AUUCAUUU +AACY023309530.1/927-871 -GGCCAGCA-----CUUAAUCCUCGGAUCGUCGGGCACGUACCUGCCCGGAUAAG-----GAAAGUGA +CP001601.1/1416488-1416546 UUCACUG----UUUCUCACACUACGGAUCGUUCGGCACGUACCUGCCGAUG-GAGGAG--AUUCUG-- +AACY021516186.1/700-758 UGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGCAU--- +AAYI02000004.1/407474-407531 CCACGG------UCACCCCACUACGGAUCGUCCGGCACGUACCUGCCGGUGGGAAGG---AAAACUC- +AACY023307698.1/644-701 GCUGUCC-----UCUAUUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAUACAC- +AACY020294371.1/1956-2012 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY022762350.1/772-830 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGAAAUA +AACY023224611.1/1289-1232 GACGAACA----C-CCAUCACAAUGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAG---AAGAUC-- +CP000509.1/1122407-1122464 CCGUGCUCA----CC-UUUACGACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GG----AGUUGUUC +#=GC SS_cons ::::::::....:<<<<<<<-----------<<<<<<______>>>>>>>>>>>>>....:::::::: +#=GC RF ggcaauca....uCcuuucaCAACGGAUCGUCcGGCACGUACCUGCCgGugaaagG....AgaaAaaa +// diff --git a/raw_data/life/L017/0002-RF00005.stockholm b/raw_data/life/L017/0002-RF00005.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..d6af5944d0eb19a8b7b395f99c0dd43790438bfb --- /dev/null +++ b/raw_data/life/L017/0002-RF00005.stockholm @@ -0,0 +1,999 @@ +# STOCKHOLM 1.0 +#=GF ID tRNA +#=GF AC RF00005 +#=GF DE tRNA +#=GF AU Mifsud W; 0000-0002-9805-6461 +#=GF GA 29.0 +#=GF NC 28.9 +#=GF TC 29.0 +#=GF SE Eddy SR +#=GF SS Published; PMID:8256282 +#=GF TP Gene; tRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 22.00 -Z 2958934 CM SEQDB +#=GF CL CL00001 +#=GF DR SO; 0000253; tRNA; +#=GF DR GO; 0030533; triplet codon-amino acid adaptor activity; +#=GF RN [1] +#=GF RM 8256282 +#=GF RT The tertiary structure of tRNA and the development of the genetic code. +#=GF RA Hou YM +#=GF RL Trends Biochem Sci 1993;18:362-364. +#=GF RN [2] +#=GF RM 9023104 +#=GF RT tRNAscan-SE: a program for improved detection of transfer RNA genes in +#=GF RT genomic sequence. +#=GF RA Lowe TM, Eddy SR +#=GF RL Nucleic Acids Res 1997;25:955-964. +#=GF CC Transfer RNA (tRNA) molecules are approximately 80 nucleotides in length. +#=GF CC Their secondary structure includes four short double-helical elements and +#=GF CC three loops (D, anti-codon, and T loops). Further hydrogen bonds mediate +#=GF CC the characteristic L-shaped molecular structure. tRNAs have two regions of +#=GF CC fundamental functional importance: the anti-codon, which is responsible +#=GF CC for specific mRNA codon recognition, and the 3' end, to which the tRNAs +#=GF CC corresponding amino acid is attached (by aminoacyl-tRNA synthetases). +#=GF CC tRNAs cope with the degeneracy of the genetic code in two manners: having +#=GF CC more than one tRNA (with a specific anti-codon) for a particular amino +#=GF CC acid; and 'wobble' base-pairing, i.e. permitting non-standard base-pairing +#=GF CC at the 3rd anti-codon position. +#=GF WK Transfer_RNA +#=GF SQ 954 + +AB003409.1/96-167 GGGCCCAU-A-GCUCAGU---GGU---AGAGUG-C-CUCCU-UUGCAAGGAG-GAU------------------------GC--CCUG-GGU-UCG-AA--UCCCA-G-UGGGUCC-A +AB009835.1/1-71 CAUUAGAU-G-ACUGAA----AG----CAAGUA-C-UGGUC-UCUUAAACCA-UUU------------------------AA--UAGUAAAU-UAG-CA--CUUAC-U-UCUAAUG-A +AB013372.1/8-81 GCGCCCGU-A-GCUCAAUU--GGAU--AGAGCG-U-UUGAC-UACGGAUCAA-AAG------------------------GU--UAGG-GGU-UCG-AC--UCCUC-U-CGGGCGC-G +AB013373.1/3754-3825 GCGGAAGU-A-GUUCAGU---GGU---AGAACA-C-CACCU-UGCCAAGGUG-GGG------------------------GU--CGCG-GGU-UCG-AA--UCCCG-U-CUUCCGC-U +AB017063.1/58819-58900 GUGGACGU-G-CCGGAGU---GGUU--AUCGGG-C-AUGAC-UAGAAAUCAU-GU--GGG-C---UUU--------GCCCG---CGCA-GGU-UCG-AA--UCCUG-C-CGUUCAC-G +AB027572.1/4261-4342 GGGUCGAU-G-CCCGAGU---GGUUA-AUGGGG-A-CGGAC-UGUAAAUUCG-UU--GAC-----AAU---------GUCUA--CGCU-GGU-UCA-AA--UCCAG-C-UCGGCCC-A +AB031211.1/7799-7884 GCCGGGGU-G-GUGGAAUU--GGCA--GACACA-C-AGGAC-UUAAAAUCCU-GC--GGU-AG--GUG---A---CUACCG---UGCC-GGU-UCA-AG--UCCGG-C-CCUCGGC-A +AB031211.1/8065-8137 GGGGCCUU-A-GCUCAGCU--GGG---AGAGCG-C-CUGCU-UUGCACGCAG-GAG------------------------GU--CAGC-GGU-UCG-AU--CCCGC-U-AGGCUCC-A +AB031213.1/2203-2276 GGUCCGGU-A-GUUCAGUU--GGUU--AGAAUG-C-CUGCC-UGUCACGCAG-GAG------------------------GU--CGCG-GGU-UCG-AG--UCCCG-U-CCGGACC-G +AB031213.1/2678-2748 GCGGGUGU-A-GUUUAGU---GGU---AAAACC-U-CAGCC-UUCCAAGCUG-AUG------------------------U---CGUG-GGU-UCG-AU--UCCCA-U-CACCCGC-U +AB031214.1/4204-4277 GGGCCUGU-A-GCUCAGCU--GGUU--AGAGCG-C-ACGCC-UGAUAAGCGU-GAG------------------------GU--CGGU-GGU-UCG-AG--UCCAC-U-CAGGCCC-A +AB031215.1/9125-9195 AGGGGCAU-A-GUUUAAC---GGU---AGAACA-G-AGGUC-UCCAAAACCU-CCG------------------------G---UGUG-GGU-UCG-AU--UCCUA-C-UGCCCCU-G +AB035922.1/6128-6200 AGGGGCGU-A-GUUCAAUU--GGU---AGAGCA-C-CGGUC-UCCAAAACCG-GGU------------------------GU--UGGG-AGU-UCG-AG--UCUCU-C-CGCCCCU-G +AB035923.1/6106-6178 GCUGAUAU-G-GCUCAGUU--GGU---AGAGCG-C-ACCCU-UGGUAAGGGU-GAG------------------------GU--CCCC-AGU-UCG-AC--UCUGG-G-UAUCAGC-A +AB042240.3/6758-6687 UGGGGCGU-G-GCCAAGU---GGU---AAGGCA-G-CGGGU-UUUGGUCCCG-UUA------------------------CU--CGGA-GGU-UCG-AA--UCCUU-C-CGUCCCA-G +AB042240.3/15036-15107 GCCCUUUU-A-ACUCAGU---GGU---AGAGUA-A-UGCCA-UGGUAAGGCA-UAA------------------------GU--CAUC-GGU-UCA-AA--UCCGA-U-AAAGGGC-U +AB042240.3/36390-36319 GCGUCCAU-U-GUCUAAU---GGAU--AGGACA-G-AGGUC-UUCUAAACCU-UUG------------------------G---UAUA-GGU-UCA-AA--UCCUA-U-UGGACGC-A +AB042240.3/82974-82901 GCAUCCAU-G-GCUGAAU---GGUU--AAAGCG-C-CCAAC-UCAUAAUUGG-UAA------------------------AUU-UGCG-GGU-UCA-AU--UCCUG-C-UGGAUGC-A +AB042240.3/84552-84472 GCCUUGAU-G-GUGAAAU---GGU-A-GACACG-C-GAGAC-UCAAAAUCUC-GU--GCU-----AAA---G-----AGCG---UGGA-GGU-UCG-AG--UCCUC-U-UCAAGGC-A +AB042432.1/3845-3913 AGUAAGGU-C-AGCUAA----UU----AAGCUA-U-CGGGC-CCAUACCCCG-AAA------------------------A---CGUU-GGU-UUA-AA--UCCUU-C-CCGUACU-A +AB042432.1/6942-7011 AAGAUAUU-A-GUAAAAU---CA----AUUACA-U-AACUU-UGUCAAAGUU-AAA------------------------U---UAUA-GAU-CAA-UA--AUCUA-U-AUAUCUU-A +AB042432.1/14140-14072 GUUUCUGU-A-GUUGAA----UU----ACAACG-A-UGAUU-UUUCAUGUCA-UUG------------------------G---UCGC-AGU-UGA-AU--GCUGU-G-UAGAAAU-A +AB042524.1/5257-5192 GGUCUUAA-G-GUGAUA----------UUCAUG-U-CGAAU-UGCAAAUUCG-AAG------------------------G---UGUA-GAG-AAA-U---CUCUA-C-UAAGACU-U +AB042524.1/9391-9458 ACUCCCUU-A-GUAUAA----UU----AAUAUA-A-CUGAC-UUCCAAUUAG-UAG------------------------A---UUCU-GAA-UAA-AC---CCAG-A-AGAGAGU-A +AB042809.1/5159-5089 UAGAUUGA-A-GCCAGUA---AU----AGGGUA-U-UUAGC-UGUUAACUAA-AUU------------------------UU--CGUA-GGU-UUA-AU--UCCUG-C-CAAUCUA-G +AB042809.1/7700-7764 CACUAUGA-A-GCUA------------AGAGCG-U-UAACC-UUUUAAGUUA-AAG------------------------UU--AGAG-ACC-UUA-AA---AUCU-C-CAUAGUG-A +AB049357.1/1-68 GUUAAUGU-A-GCUUAAUA--AC----AAAGCA-A-AGCAC-UGAAAAUGCU-UAG------------------------A---UGGA-U-A-AUU-GU----AUC-C-CAUAAAC-A +AB049357.1/11673-11743 ACUUUUAU-A-GGAUAAU---AGU---AAUCCA-U-UGGUC-UUAGGAACCA-AAA------------------------A---CCUU-GGU-GCA-AA--UCCAA-A-UAAAAGU-A +AB066098.1/1687-1760 GGGCCUAU-A-GCUCAGCU--GGUU--AGAGUG-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CACA-AGU-UCA-AG--UCUUG-U-UAGGCCC-A +AB067577.1/1615-1688 GGGCUAUU-A-GCUCAGGU--GGUU--AGAGCG-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CCCU-GGU-UCA-AG--UCCAG-G-AUGGCCC-A +AC002512.1/77401-77473 GCCCGGAU-A-GCUCAGUC--GGU---AGAGCA-U-UGGAC-UUUUAAUCCA-AGG------------------------GU--CCAG-GGU-UCA-AG--UCCCU-G-UUCGGGC-G +AC004941.2/32735-32806 GGGGGUAU-A-GCUCAGGG--GUA----GAGCA-U-UUGAC-UGCAGAUCAA-GAG------------------------GU--CCCU-GGU-UCA-AA--UCCAG-G-UGCCCCC-U +AC005329.1/7043-6971 GCCGAAAU-A-GCUCAGUU--GGG---AGAGCG-U-UAGAC-UGAAGAUCUA-AAG------------------------GU--CCCU-GGU-UCG-AU--CCCGG-G-UUUCGGC-A +AC005783.1/27398-27326 GUUUCCGU-A-GUGUAGC---GGUU--AUCACA-U-UCGCC-UCACACGCGA-AAG------------------------GU--CCCC-GGU-UCG-AU--CCCGG-G-CGGAAAC-A +AC006449.19/196857-196784 GUCUCUGU-G-GCGCAAUC--GGUU--AGCGCG-U-UCGGC-UGUUAACCGA-AAG------------------------GU--UGGU-GGU-UCG-AG--CCCAC-C-CAGGGAC-G +AC007298.17/145366-145295 UCCUCGUU-A-GUAUAGU---GGUG--AGUAUC-C-CCGCC-UGUCACGCGG-GAG------------------------A---CCGG-GGU-UCG-AU--UCCCC-G-ACGGGGA-G +AC008345.4/147881-147810 AGCAGAGU-G-GCGCAGU---GGA---AGCGUG-C-UGGGC-CCAUAACCCA-GAG------------------------GU--CCGA-GGA-UCG-AA--ACCUU-G-CUCUGCU-A +AC008443.10/8240-8321 GGUAGCGU-G-GCCGAGC---GGUCU-AAGGCG-C-UGGAU-UAAGGCUCCA-GU--CUC-----UUC---G-----GGGG---CGUG-GGU-UCG-AA--UCCCA-C-CGCUGCC-A +AC008443.10/9027-8955 GUUUCCGU-A-GUGUAGU---GGUC--AUCACG-U-UCGCC-UAACACGCGA-AAG------------------------GU--CCCC-GGU-UCG-AA--ACCGG-G-CGGAAAC-A +AC008443.10/42590-42518 GCCCGGCU-A-GCUCAGUC--GGU---AGAGCA-U-GAGAC-UCUUAAUCUC-AGG------------------------GU--CGUG-GGU-UCG-AG--CCCCA-C-GUUGGGC-G +AC008443.10/43006-42934 GUUUCCGU-A-GUGUAGU---GGUU--AUCACG-U-UCGCC-UCACACGCGA-AAG------------------------GU--CCCC-GGU-UCG-AA--ACCGG-G-CGGAAAC-A +AC008670.6/83597-83665 GUAAAUAU-A-GUUUAA----CC----AAAACA-U-CAGAU-UGUGAAUCUG-ACA------------------------A---CAGA-GGC-UCA-CG--ACCCC-U-UAUUUAC-C +AC008670.6/83725-83795 ACUUUUAA-A-GGAUAAC---AGC---CAUCCG-U-UGGUC-UUAGGCCCCA-AAA------------------------A---UUUU-GGU-GCA-AC--UCCAA-A-UAAAAGU-A +AC009323.4/12825-12742 GUGGACAU-G-CCGGAGU---GGUGUUAUCGGG-C-AUAAC-UAGAAAUCAU--GU-GGG-C---UUU--------GCCCG---CGCA-GGU-UCG-AA--UCAUG-C-CGUUUAC-G +AC009323.4/14362-14281 GUGGACGU-G-CCGGAGU---GGUU--AUCGGG-A-AUGAC-UAGAAAUCAU-GGA-GGC-----UUU---------GCCCG--CGCA-CGU-UUG-AA--UCUUG-C-CGUUUAC-G +AC009395.7/99012-98941 GGCUCAAU-G-GUCUAGG---GGU---AUGAUU-C-UCGCU-UUGGGUGCGA-GAG------------------------GU--CCCG-GGU-UCA-AA--UCCCG-G-UUGAGCC-C +AC009461.5/128651-128579 GUUUCCGU-G-GUGUAGU---GGUU--AUCACA-U-CCGCC-UAACACGCGG-AAG------------------------GC--CCCC-GGU-UCA-AU--CCCGG-G-CGGAAAC-A +AC009742.4/51767-51839 GUUUUCGU-A-GUGUAGU---GGUU--AUCACG-U-GUGCU-UCACACGCAC-AAG------------------------GU--CCCC-GGU-UCG-AA--CCCGG-G-CGAAAAC-A +AC018638.5/4694-4623 GGCUCGUU-G-GUCUAGG---GGU---AUGAUU-C-UCGCU-UAGGGUGCGA-GAG------------------------GU--CCCG-GGU-UCA-AA--UCCCG-G-ACGAGCC-C +AC018907.5/9587-9517 GCACCAGU-G-GUCUAGU---GGU---AGAAUA-G-UACCC-UGCCACGGUA-CAG------------------------A---CCCG-GGU-UCG-AU--UCCCG-G-CUGGUGC-A +AC021639.5/181586-181505 GCAGUCGU-G-GCCGAGU---GGUU--AAGGCG-U-CUGAC-UCGAAAUCAG-AU--UCC-C---UCU--------GGGAG---CGUA-GGU-UCG-AA--UCCUA-C-CGGCUGC-G +AC024995.8/165717-165798 GUAGUCGU-G-GCCGAGU---GGUU--AAGGCG-A-UGGAC-UAGAAAUCCA-UU--GGG-G---UCU--------CCCCG---CGCA-GGU-UCG-AA--UCCUG-C-CGACUAC-G +AC067849.6/4771-4840 CACUGUAA-A-GCUAAC----------UUAGCA-U-UAACC-UUUUAAGUUA-AAG------------------------AU--UAAG-AGA-ACC-AACACCUCU-U-UACAGUG-A +AC068900.3/7333-7404 GUCGUUGU-A-GUAUAGU---GGUA--AGUAUU-C-CCGCC-UGUCACGCGG-GUG------------------------A---CCCG-GGU-UCG-AU--CCCCG-G-CAACGGC-G +AC084429.5/20418-20485 GUGAAUAU-A-GUUUAC----AA----AAAACA-U-UAGAC-UGUGAAUCUG-ACA------------------------A---CAGG-AAA-UAA-AC---CUCC-U-UAUUCAC-C +AC084571.1/17976-18047 GGCCGAAU-G-GUCUAGU---GGU---AUGAUU-C-UCGCU-UUGGGUGCGA-GAG------------------------GU--CCCG-GGU-UCA-AU--CCCCG-G-UUCGGCC-C +AC084609.1/20256-20184 GCCCGGUU-A-GCUCAGUC--GGU---AGAGCA-C-CAGAC-UCUUAAUCUG-GUU------------------------GU--CGCG-GGU-UCG-AG--CCCCG-C-AUUGGGC-U +AC092686.3/29631-29561 GCAUUGGU-G-GUUCAGU---GGU---AGAAUU-C-UCGCC-UGCCACGCGG-GAG------------------------G---CCCG-GGU-UCG-AU--UCCCG-G-CCAAUGC-A +AC093311.2/140036-139968 GUUCUUGU-A-GUUGAA----AU----ACAACG-A-UGGUU-UUUCAUAUCA-UUG------------------------G---UCGU-GGU-UGU-AG--UCCGU-G-CGAGAAU-A +AC099014.1/146549-146620 GCCGUGAU-C-GUCUAGU---GGUU--AGGACC-C-CACGU-UGUGGCCGUG-GUA------------------------A---CCCA-GGU-UCG-AA--UCCUG-G-UCACGGC-A +AC108081.2/59868-59786 GUCAGGAU-G-GCCGAGC---GGUCU-AAGGCG-C-UGCGU-UCAGGUCGCA-GU--CUC-C---CCU--------GGAGG---CGUG-GGU-UCG-AA--UCCCA-C-UUCUGAC-A +AC122544.1/63069-62986 GUCAGGAU-G-GCCGAGU---GGUCU-AAGGCG-C-CAGAC-UCAAGUUCUG-GU--CCU-CGU----------GAGAGGG---CGUG-GGU-UCA-AA--UCCCA-C-UUCUGAC-A +AF004309.1/87-160 CGGGGUGU-G-GCGCAGCU-UGGU---AGCGCG-C-UUCGU-UCGGGACGAA-GAG------------------------GU--CGUG-GGU-UCA-AA--UCCCG-C-CACCCCG-A +AF008220.1/5322-5394 GGAGGAUU-A-GCUCAGCU--GGG---AGAGCA-U-CUGCC-UUACAAGCAG-AGG------------------------GU--CGGC-GGU-UCG-AG--CCCGU-C-AUCCUCC-A +AF008220.1/5430-5502 GCCGGUGU-A-GCUCAAUU--GGU---AGAGCA-A-CUGAC-UUGUAAUCAG-UAG------------------------GU--UGGG-GGU-UCA-AG--UCCUC-U-UGCCGGC-A +AF008220.1/5629-5712 GCGGAUGU-G-GCGGAAUU--GGCA--GACGCG-C-UAGAA-UCAGGCUCUA-GU--GUC-U---UUA---C----AGACG---UGGG-GGU-UCA-AG--UCCCU-U-CAUCCGC-A +AF008220.1/5997-6070 CGGGAAGU-A-GCUCAGCU-UGGU---AGAGCA-C-AUGGU-UUGGGACCAU-GGG------------------------GU--CGCA-GGU-UCG-AA--UCCUG-U-CUUCCCG-A +AF008220.1/6172-6245 GGCGGUGU-A-GCUCAGCU--GGCU--AGAGCG-U-ACGGU-UCAUACCCGU-GAG------------------------GU--CGGG-GGU-UCG-AU--CCCCU-C-CGCCGCU-A +AF008220.1/6251-6324 GGACCUUU-A-GCUCAGUU--GGUU--AGAGCA-G-ACGGC-UCAUAACCGU-CCG------------------------GU--CGUA-GGU-UCG-AG--UCCUA-C-AAGGUCC-A +AF008220.1/6334-6422 GGAGGAAU-A-CCCAAGUC-UGGCUG-AAGGGA-U-CGGUC-UUGAAAACCG-AC--AGG-GUG-UCA---A--AGCCCG----CGGG-GGU-UCG-AA--UCCCU-C-UUCCUCC-G +AF008220.1/6443-6516 CGCGGGGU-G-GAGCAGUU-CGGU---AGCUCG-U-CGGGC-UCAUAACCCG-AAG------------------------GU--CGCA-GGU-UCA-AA--UCCUG-C-CCCCGCA-A +AF008220.1/6620-6692 GGCUCGGU-A-GCUCAGUU--GGU---AGAGCA-A-CGGAC-UGAAAAUCCG-UGU------------------------GU--CGGC-GGU-UCG-AU--UCCGU-C-CCGAGCC-A +AF008220.1/6713-6785 GCGGUUGU-G-GCGAAGU---GGUU--AACGCA-C-CAGAU-UGUGGCUCUG-GCA------------------------UU--CGUG-GGU-UCG-AU--UCCCA-U-CAAUCGC-C +AF008220.1/6888-6961 GGGCCUGU-A-GCUCAGCU--GGUU--AGAGCG-C-ACGCC-UGAUAAGCGU-GAG------------------------GU--CGAU-GGU-UCG-AG--UCCAU-U-CAGGCCC-A +AF008220.1/6975-7046 UCCACAGU-A-GCUCAGU---GGU---AGAGCU-A-UCGGC-UGUUAACCGA-UCG------------------------GU--CGCA-GGU-UCG-AA--UCCUG-C-CUGUGGA-G +AF008220.1/7053-7140 GGAGAAGU-A-CUCAAGU---GGCUG-AAGAGG-C-GCCCC-UGCUAAGGGU-GUA-GGU-CGU-GUA---A--GCGGCG----CGAG-GGU-UCA-AA--UCCCU-C-CUUCUCC-G +AF008220.1/7169-7240 GGCCCGUU-G-GUCAAGC---GGUU--AAGACA-C-CGCCC-UUUCACGGCG-GUA------------------------A---CACG-GGU-UCG-AA--UCCCG-U-ACGGGUC-A +AF034440.1/1115-1181 GUUGAUGU-A-GCUUAAC---CC----AAAGCA-A-GGCAC-UGAAAAUGCC-UAG------------------------A---UGAG-U-C-UCC-CA----ACU-C-CAUAAAC-A +AF037042.2/2935-2864 UCCUCAUU-G-GUGUAGUC--GGU---AACACU-C-UAGUC-UUUCACACUG-GUA------------------------C---CUCG-GGU-UCG-AU--UCCCG-A-AUGGGGA-G 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GGGGCUUU-A-GCUCAGCU--GGG---AGAGCG-C-CUGCC-UUGCACGCAG-GAG------------------------GU--CAGC-GGU-UCG-AU---CCGC-U-AAGCUCC-A +X61068.1/880-953 GGCGGUGU-A-GCUCAGCU--GGCU--AGAGCG-U-GCGGU-UCAUACCCGC-AAG------------------------GU--CGAG-GGU-UCA-AG--UCCCC-C-CGCCGCU-A +X61068.1/961-1034 GGACCCGU-A-GCUCAGUU--GGUU--AGAGCU-A-CCGGC-UCAUAACCGG-UCG------------------------GU--CGUU-GGU-UCG-AG--UCCAA-C-CGGGUCC-A +X61068.1/1060-1145 GGAGGAAU-A-CCCAAGA---GGCUG-AAGGGA-U-CGGUC-UUGAAAACCG-ACA-GGG-U---GUA---AA---AGCCG---CGGG-GGU-UCA-AA--UCCCU-C-UUCCUCC-G +X61068.1/1189-1262 CGCGGGAU-A-GAGCAGUC-UGGU---AGCUCG-U-CGGGC-UCAUAACCCG-AAG------------------------GU--CGAU-GGU-UCA-AA--UCCAU-C-UCCCGCA-A +X61068.1/1281-1353 GGUCCGGU-G-GUGUAGG---GGUU--AACAUG-C-CUGCC-UGUCACGCAG-GAG------------------------AU--CGCG-GGU-UCA-AA--UCCCG-U-CCGGACC-G +X61068.1/1364-1437 GGCUCUGU-A-GCUCAGUC--GGU---AGAGCA-G-UGGCC-UGAAGAGCCU-CGU------------------------GU--CAGCCGGU-UCG-AU--UCCGC-U-UGGAGCC-A +X61061.1/74-147 GUCCGAAU-A-GCUCAGCU--GGAU--AGAGCA-A-UAGCC-UUCUAAGCUA-UCG------------------------GU--CGGG-GGU-UCG-AA--UCCCU-C-UUCGGAC-G +X61066.1/339-412 GCCUACUU-A-GCUCAGUU--GGUU--AGAGCA-C-CUGAC-UGUUAAUCAG-GGG------------------------GU--CGCU-GGU-UCG-AG--UCCAG-C-AGUGGGC-G +X61063.1/119-188 GUCGGUGU-C-GUAUAU----GGU-U-AUUAC--A-GGCCU-UGCCAAGGCU-UAG------------------------A---CGGC-AGU-UCG-AU--CCUGC-U-CACCGGC-U +X61067.1/133-205 GCGGUUGU-G-GCGAAGU---GGUU--AACGCA-U-CGGCU-UGUGGCGCCG-ACA------------------------CU--CGGG-GGU-UCA-AU--UCCCC-U-CGGCCGC-C +X61067.1/232-303 AGGCCCAU-A-GCCAAGC---GGU---AAGGCA-A-CGGAC-UUUGACUCCG-UCA------------------------CU--CGUA-GGU-UCA-AA--UCCUG-C-UGGGCCU-G +X61067.1/334-415 GCGGGUGU-G-GCGAAAUU--GGCA--GACGCA-C-UAGAC-UUAGGAUCUA-GC--GCU-----UUA---C-----GGCA---UGCA-GGU-UCA-AG--UCCUG-U-CACCCGC-A +X61064.1/63-135 GCAUCCAU-A-GCUCAGUU--GGU---AGAGCA-A-CAGAC-UCUUAAUCUG-UGG------------------------GU--CCAC-GGU-UCG-AG--CCCGU-G-UGGGUGU-A +X61065.1/77-164 GGAGCGAU-A-CUCAAGA---GGCCG-AAGAGG-G-CGCAC-UGCUAACGCG-UUAGACG-GU--UAA---C---CCCGUG---CGAG-GGU-UCA-AA--UCCCU-C-UCGCUCC-G +X61065.1/170-242 GGCCCGUU-G-GAGAAAC---GGUU--AACUCA-C-AUGCC-UUUCACGCAU-GCA------------------------UU--CACG-GGU-UCG-AA--UCCCG-U-ACGGGUC-A +X15508.1/140-211 GGGGGCAU-G-GUGUCAAC--GGU---AGCACA-C-AGGUC-UCCAAAACCU-UUA------------------------G---UGUG-GGU-UCG-AA--UCCUG-C-UGCCCUC-G +AJ270287.1/567-495 GCCCCCAU-C-GUCUAGUG--GUUC--AGGACA-U-CUCUC-UUUCAAGGAG-GCA------------------------G---CGGG-GAU-UCG-AC--UUCCC-C-UGGGGGU-A +AP000423.1/76-4 GCGGAUGU-A-GCCAAGU---GGAUU-AAGGCA-G-UGGAU-UGUGAAUUCA-CCA------------------------U---CGCG-GGU-UCA-AU--UCCCG-U-CGUUCGC-C +AP000442.6/2022-1950 GCCCGGAU-A-GCUCAGUC--GGU---AGAGCA-U-CAGAC-UUUUAAUCUG-AGG------------------------GU--CCAG-GGU-UCA-AG--UCCCU-G-UUCGGGC-G +AP002983.1/121-48 GCGGAUGU-A-GCCAAGU---GGAUC-AAGGCA-G-UGGAU-UGUGAAUCCA-CCA------------------------UG--CGCG-GGU-UCA-AU--UCCCG-U-CGUUCGC-C +AP002983.1/63669-63596 GCGCUCUU-A-GUUCAGUU-CGGU---AGAACG-C-GGGUC-UCCAAAACCC-GAU------------------------GU--CGUA-GGU-UCA-AA--UCCUA-C-AGAGCGU-G +AJ011900.1/63-136 AGCGGGGU-A-GAGGAAUU--GGUC--AACUCA-U-CAGGC-UCAUGACCUG-AAG------------------------AC--UGCA-GGU-UCG-AA--UCCUG-U-CCCCGCC-U +AJ012132.1/54-126 GUCAGGAU-A-GCUCAGUU--GGU---AGAGCA-G-AGGAC-UGAAAAUCCU-CGU------------------------GU--CACC-AGU-UCA-AA--UCUGG-U-UCCUGGC-A +AC002341.3/6810-6881 GGGCAUUU-G-GUCUAGU---GGU---AUGAUU-C-UCGCU-UAGGGUGCGA-GAG------------------------GU--CCCG-AGU-UCA-AU--UCUCG-G-AAUGCCC-C +AL161496.2/172002-171930 GCGGGGAU-A-GCUCAGUU--GGG---AGAGCG-U-CAGAC-UGAAGAUCUG-AAG------------------------GU--CGCG-UGU-UCG-AU--CCACG-C-UCACCGC-A +M58320.1/108-194 GGAUGGAU-G-UCUGAGC---GGUUG-AAAGAG-U-CGGUC-UUGAAAACCG-AA--GUA-UUU-CUA---G--GAAUAC----CGGG-GGU-UCG-AA--UCCCU-C-UCCAUCC-G +X67736.1/4837-4923 GGAGAGAU-G-GCCGAGU---GGUUU-AAGGCG-U-AGCAU-UGGAACUGCU-AU--GUA-GGC-UUU---U--GUUUAC----CGAG-GGU-UCG-AA--UCCCU-C-UCUUUCC-G +AL138651.1/64525-64597 GGGGAUGU-A-GCUCAUAU--GGU---AGAGCG-C-UCGCU-UUGCAUGCGA-GAG------------------------GC--ACAG-GGU-UCG-AU--UCCCU-G-CAUCUCC-A +AL162971.1/11752-11825 GGUUUCGU-G-GUGUAGUU--GGUU--AUCACG-U-CAGUC-UAACACACUG-AAG------------------------GU--CUCC-GGU-UCG-AA--CCCGG-G-CGAAGCC-A +L35909.1/103-174 GGAUCCGU-G-GCGCAAU---GGU---AGCGCG-U-CUGAC-UCCAGAUCAG-AAG------------------------GU--UGCG-UGU-UCG-AU--UCACG-U-CGGGUUC-A +X66414.1/9-82 GCAUCCAU-G-GCUGAAU---GGUU--AAAGCG-C-CCAAC-UCAUAAUUGGCGAA------------------------UU--CGUA-GGU-UCA-AU--UCCUA-C-UGGAUGC-A +X66520.1/7-88 GUGGAAGU-G-GCGGAGU---GGUU--AUCGGG-C-AUGAC-UAGAAAUCAU-GU--GGG-C---UUU--------GCCCG---CGCA-GGU-UCG-AA--UCCUG-C-CGUUCAC-G +AY012114.1/954-1022 CAUAGUGU-A-GCUUAAUA--UU----AAAGCA-U-CUGGC-CUACACCCAG-AAG------------------------A---UUUC-A-U-GAC-CA--A-UGA-A-CACUCUG-A +AY017179.1/1528-1601 GGGCCGGU-A-GCUCAGCC-UGGG---AGAGCG-U-CGGCU-UUGCAAGCCG-AAG------------------------GC--CCCG-GGU-UCG-AA--UCCCG-G-CCGGUCC-A +X55523.1/17-90 CGGGGUAU-G-GCGCAGUC-UGGU---AGCGCG-C-ACCCU-UGGGGUGGGU-GAG------------------------GC--CGUG-GGU-UCA-AA--UCCCG-C-UACUCCG-A +U24159.1/431-359 GGGUCGUU-A-GCUCAGUC--GGU---AGAGCA-G-CGGAC-UUUUAAUCCG-UUG------------------------GU--CGAA-GGU-UCG-AA--UCCUU-C-ACGACCC-A +K03317.1/4-76 GGGGGCGU-A-GCUCAGAU--GGU---AGAGCG-C-UCGCU-UAGCAUGCGA-GAG------------------------GU--ACCG-GGA-UCG-AU--ACCCG-G-CGCCUCC-A +X03602.1/660-731 UCCCGUAU-G-GUCUAGU---GGUU--AGGAUA-C-CUGGC-UUUCACCCAG-GAG------------------------G---CUCG-GGU-UCG-AU--UCCCG-G-UACGGGA-A +AB001488.1/62222-62293 UGGGCUAU-A-GCCAAGC---GGU---AAGGCA-A-CGGAC-UUUGACUCCG-UCA------------------------UG--CGUU-GGU-UCG-AA--UCCAG-C-UAGCCCA-G +K01389.1/345-433 GGAGAGCU-G-UCCGAGU---GGUCG-AAGGAG-C-ACGAU-UGGAAAUCGU-GU--AGG-CGGUCAA---C-UCCGUCU----CAAG-GGU-UCG-AA--UCCCU-U-GCUCUCC-G +X60981.1/3182-3253 UCCGCAGU-A-GCUCAGU---GGU---AGAGCA-A-UCGGC-UGUUAACCGA-UUG------------------------GU--CGCA-GGU-UCG-AA--UCCUG-C-CUGCGGA-G +X60981.1/3261-3348 GGAGAGCU-G-UCCGAGU---GGUCG-AAGGAG-C-ACGAU-UGGAAAUCGU-GU--AGG-CGU-GAA---UA-GCGCCU----CAAG-GGU-UCG-AA--UCCCU-U-GCUCUCC-G +X60981.1/3446-3518 GGAGGAUU-A-GCUCAGCU--GGG---AGAGCA-C-UUGCC-UUACAAGCAA-GGG------------------------GU--CGGC-GGU-UCG-AU--CCCGU-C-AUCCUCC-A +X60981.1/3898-3969 GGUCCCGU-A-GUGUAGU---GGUU--AACAUG-C-CUGCC-UGUCACGCAG-GAG------------------------AU--CGCG-GGU-UCG-AU---GCCG-U-CGGGACC-G +Z82044.1/15843-15924 GGAGGGGU-A-GCGAAGU---GGCUA-AACGCG-G-CGGAC-UGUAAAUCCG-CU--CCC-----UCA---------GGGUU--CGGC-AGU-UCG-AA--UCUGC-C-CCCCUCC-A +Z82044.1/16317-16387 GGCGGCAU-A-GCCAAGU---GGU---AAGGCA-G-AGGUC-UGCAAAACCU-UU-------------------------AU--CCCC-GGU-UCG-AA--UCCGG-G-UGUCGCC-U +AJ235316.1/1023-1090 GUUAAUGU-A-GCUUAAA---GUCC--AAAGCA-A-GGCAC-UGAAAAUGCC-UAG------------------------A---UGAG-U-A-CAC-CA----ACU-C-CAUAAAC-- +M25659.1/553-621 GUCUACGU-A-GCUUAACC--CCC---AAAGCA-A-GACAC-UGAAAAUGCC-UAG------------------------A---UGGA-U-U-CAC-AC----AUC-C-CAUAGAC-A +M19493.1/263-336 GGGCUAUU-A-GCUCAGUU--GGUU--AGAGCG-C-ACCCC-UGAUAAGGGU-GAG------------------------GC--CCCU-GGU-UCG-AA--UCCAG-G-AUGGCCC-A +M19493.1/340-412 GGGGGUAU-A-GCUCAGUU--GGU---AGAGCG-C-UGCCU-UUGCAAGGCA-GAU------------------------GU--CAGC-GGU-UCG-AG--UCCGC-U-UACCUCC-A +M22563.1/69-141 GCCCCCAU-C-GUCUAGA---GGCCU-AGGACA-C-CUCCC-UUUCACGGAG-GCG------------------------A---CGGG-GAU-UCG-AA--UUCCC-C-UGGGGGU-A +L00194.1/554-627 AGGCCUGU-A-GCUCAGGU--GGUU--AGAGCG-U-ACGCC-UGAUAAGCGU-AAG------------------------GU--CGGC-AGU-UCG-AG--UCUGC-C-UAGGCCU-A +L00194.1/685-756 GGGGCCAU-A-GCUCAGUU--GGU---AGAGCG-C-CUGCU-UUGCAAGCAG-GUG------------------------U---CGUC-GGU-UCG-AA--UCCGU-C-UGGCUCC-A +D17791.1/52-123 GGGUUGCU-A-ACUCAAU---GGU---AGAGUA-C-UCGGC-UUUUAACCGA-UUA------------------------GU--UCCG-GGU-UCG-AG--UCCCG-G-GCAACCC-A +M34508.1/318-404 GCCCGGAUGAACCAUGGC---GGUC--UGUGGU-G-CAGAC-UUCAAAUCUG-UA--GGC-G---GUU---AG---CGCCG---CAGU-GGU-UCG-AC--UCCACCU-UUCGGGU-G +X54299.1/1793-1866 GGGCUAUU-A-GCUCAGUU--GGUU--AGAGCG-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CCCU-GGU-UCA-AA--UCCAG-G-AUGGCCC-A +X12889.1/644-572 ACCUACUU-A-ACUCAGU---GGUU--AGAGUA-U-UGCUU-UCAUACGGCA-GGA------------------------GU--CAUU-GGU-UCA-AA--UCCAA-U-AGUAGGU-A +X54300.1/29-102 GGGUUAUU-A-GCUCAGUU--GGUU--AGAGCA-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CCCU-GGU-UCA-AA--UCCAG-G-AUAACCC-A +X54300.1/105-177 GGGGGUAU-A-GCUUAGUU--GGU---AGAGCG-C-UGCUU-UUGCAAGGCA-GAU------------------------GU--CAGC-GGU-UCG-AA--UCCGC-U-UACCUCC-A +X62800.1/3583-3669 GGAGUGAU-G-UCUGAGU---GGCCG-AAAGAG-C-UCGAU-UGCUAAUCGA-GUA-UAC-AG--CUC---C---CUGUAC---CGAG-GGU-UCG-AA--UCCCU-C-UCACUCC-G +X05693.1/1054-1126 GGGAGUAU-A-GCUCAGUU--GGU---AGAGCG-C-UGCCU-UUGCAAGGCA-GAU------------------------GU--CAGC-GGU-UCG-AG--UCCGC-U-UACUUCC-A +X03848.1/3091-3164 GGGCUAUU-A-GCUCAGUU--GGUU--AGAGCG-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CGCU-GAU-UCG-AA--UUCAG-C-AUAGCCC-A +X15090.1/41-114 GGGUGUGU-A-GCUCAGU---GGACU-AGAGCA-C-GUGGC-UACGAACCAC-GGU------------------------GU--CGGG-GGU-UCG-AA--UCCCU-C-CUCGCCC-G +X51398.1/2-75 GCUUGCUU-A-GCUCAAUU-CGGU---AGAGCU-U-UGGUU-UUGUAAACCA-AAG------------------------GU--UAUC-GGU-UCA-AG--UCCGA-U-AGCAAGC-U +X61698.1/1470-1542 ACCUACUU-A-ACUCAGU---GGUU--AGAGUA-C-UGCUU-UCAUACGGCG-GGA------------------------GG--CAUU-GGU-UCA-AA--UCCAA-U-AGUAGGU-A +L13782.1/442-515 GAGCUUGU-A-GCUCAGU---GGACU-AGAGCA-C-AUGGC-UACGAACCAU-GGG------------------------GU--CGGG-GGU-UCG-AA--ACCCU-C-CUGGCUC-G +J01399.1/2867-2939 GCGGAUGU-A-ACUCAAUC--GGU---AGAGUG-C-GAUCC-UUCCAAGUUC-GAG------------------------GU--UGUG-GGU-UCG-AG--UCCCA-U-CAUCCGC-U +X54408.1/1-73 GCCCCCAU-C-GUCUAGA---GGCCU-AGGACA-C-CUCCC-UUUCACGGAG-AAA------------------------A---CGCG-GAU-UCG-AA--UUCCG-C-UGGGGGU-A +X62566.1/248-320 ACGUCCUU-A-GUUCAGUC--GGU---AGAACG-C-AGGUU-UCCAAAACCU-GAU------------------------GU--CGUG-GGU-UCA-AU--UCCUA-C-AGGGCGU-G +V00158.1/276-361 GGAGAAGU-G-UCUGAGU---GGUCG-AAAGAG-C-UCGAU-UGCUAAUCGA-GU--GUG-UCU-AAU------AAACAC----CGAG-GGU-UCA-AA--UCCCU-U-CUUCUCC-U +V00158.1/694-623 GCAGAUGU-A-GCUCAGU---GGU---AGAGCG-C-AACCU-UGCCAAGGUU-GAU------------------------GC--CAUG-GGU-UCG-AG--UCCCA-U-UAUCUGC-U +M22010.1/2624-2705 GAGUUGUU-G-CCCGAGU---GGUUA-AUGGGG-G-CGGAU-UGUAAAUCCG-CU--AGU-----UCA---------UCUUU--CGCU-GGU-UCG-AA--UCCAG-C-ACGACUC-A +M22010.1/2934-3006 GCGCUUUU-A-GUUCAAUU--GGU---AGAACG-U-AGGUC-UCCAAAACCU-GAU------------------------GU--AGUA-GGU-UCG-AA--UCCUA-C-AGAGCGC-G +M22010.1/3034-3106 GCCCCCAU-C-GUCUAGA---GGCCU-AGGACA-U-CUCCC-UUUCACGGAG-GCA------------------------A---CGGG-GAU-UCG-AA--UUCCC-C-UGGGGGU-A +M22010.1/3113-3185 GCGGGUAU-A-GCUCAGUU--GGU---AGAGCG-U-GGUCC-UUCCAAGUCC-AAU------------------------GU--UGCG-UGU-UCG-AA--UCACG-U-UACCCGC-U +X12890.1/1972-2045 GGGCUAUU-A-GCUCAGUU--GGUU--AGAGCA-U-ACCCU-UGAUAAGGGU-AAG------------------------GU--CGCU-AGU-UCA-AG--UCUAG-C-AUGGCCC-U +M18672.1/347-431 GGAGAGGU-G-UCUGAGU---GGUUU-AAAGUA-C-UGGUC-UUGAAAACCA-GC--GUA-GU--UUU---U---GCUAC----CGAG-GGU-UCG-AA--UCCCU-C-CUUCUCC-G +M17309.1/99-171 GGGAUUGU-A-GUUUAAU---GGUU--AGAGCA-C-CGCCC-UGUCACGGCG-GAA------------------------GU--UGCG-GGU-UCG-AG--UCCCG-U-CAGUCCC-G +M17309.1/774-846 GAGUUGGU-A-GCUCAGUU--GGU---AGAGCA-C-UCGGC-UUUUAACCGA-UCG------------------------GU--CCUG-GGU-UCG-AA--UCCCA-G-CCAACUC-A +V00160.1/1137-1054 GCAGGCAU-G-GCGGAAUU-UGGUA--GACGCG-C-AGGAU-UUAGGUUCCU-GU--GUC-----UUU---AU----GAUG---UGAG-AGU-UCG-AG--UCUCU-C-UGCCUGU-A +X15240.1/604-676 GCUGGGAU-A-GCUCAGUU--GGU---AGAGCG-G-AGGAC-UGAAAAUCCU-UGU------------------------GU--CACC-AGU-UCA-AA--UCUGG-U-UCCUAGC-A +Z11874.1/40212-40285 CGGGAUGU-A-GCGCAGUU-UGGU---AGCGCA-U-UGCAU-UUGGGAUGCA-AGG------------------------GU--CGCA-GGU-UCG-AA--UCCUG-U-CAUCCCG-A +M81884.1/41401-41330 UCCUCAGU-A-GCUCAGU---GGUA---GAGUG-G-UCGGC-UGUUAACCGA-UUG------------------------GC--CGUA-GGU-UCG-AC--UCCUA-C-UUGAGGA-G +M81884.1/42594-42515 GCCGCUAU-G-GUGAAAUU--GGUA--GACACG-U-UGCUC-UUAGGAAGCA-GU--GCU-----AU----------AGCA---UCUU-GGU-UCG-AG--UCCGA-G-UGGCGGC-A +X61368.1/228-301 GGGCCUGU-A-GAUCAGA---GGAUU-AGAGCA-C-GUGGC-UACGAACCAC-GGU------------------------GU--CGUG-GGU-UCG-AA--UCCCU-C-CUCGCCC-A +X00476.1/1-85 GGGGAUAU-G-GCGAAAUU--GGUA--GACGCU-A-CGGAC-UUAAAAUCCG-UC--GAC-U---UAA---GA---AAUCA---UGAG-GGU-UCA-AG--UCCCU-C-UAUCCCC-A +X06428.1/229-300 AGGGAUAU-A-ACUCAGC---GGU---AGAGUG-U-CACCU-UGACGUGGUG-GAA------------------------GU--UAUC-AGU-UCG-AG--CCUGA-U-UAUCCCU-A +M20942.1/1-73 GGGGAUAU-A-GCUCAGUU--GGU---AGAGCG-C-CGCCC-UUGCAAGGCG-GAU------------------------GU--CAGC-GGU-UCG-AG--UCCGC-U-UAUCUCC-A +M20948.1/1-71 GGCGACAU-G-GCCAAGU---GGU---AAGGCA-G-AGGAC-UGCAAAUCCU-UUA------------------------U---CCCC-AGU-UCA-AA--UCUGG-G-UGUCGCU-U +M20947.1/1-74 GGGAUUGU-A-GUUCAAUU--GGUU--AGAGUA-C-CGCCC-UGUCAAGACG-GAA------------------------GU--UGCG-GGU-UCG-AG--CCCCG-U-CAAUCCC-G +M20951.1/1-71 GCGGGUAU-A-GUUUAAU---GGU---AAAAUU-C-CUCCU-UGCCAAGGAG-AAU------------------------A---UGCG-GGU-UCG-AU--UCCCG-C-UACCCGC-C +M20952.1/1-71 GCGGGUAU-A-GUUUAGU---GGU---AAAACC-U-UAGCC-UUCCAAGCUA-ACG------------------------A---UGCG-GGU-UCG-AU--UCCCG-C-UACCCGC-U +M20954.1/1-74 GCAUCCAU-G-GCUGAAU---GGUU--AAAGCA-C-CCAAC-UCAUAAUUGG-CGA------------------------AU-UCACA-GGU-UCA-AU--UCCUG-U-UGGAUGC-A +M20959.1/1-72 GGGUUGCU-A-ACUCAAU---GGU---AGAGUA-C-UCGGC-UUUUAACCGA-CGA------------------------GU--UCCG-GGU-UCG-AG--CCCCG-G-GCAACCC-A +M20957.1/1-85 GGGGGUAU-G-GCGAAAUU--GGUA--GACGCU-G-CGGAC-UUAAAAUCCG-UU--GGC-UU--UAA-------AGACCG---UGAG-GGU-UCA-AG--UCCCU-C-UACCCCC-A +M20958.1/1-80 GCCGCUAU-G-GUGAAAUU--GGUA--GACACG-C-UGCUC-UUAGGAAGCA-GU--GC------UAA---G------GCU---UCUC-GGU-UCG-AA--UCCGA-G-UAGCGGC-A +M20960.1/1-74 ACCUACUU-A-ACUCAGU---GGUUU-AGAGUA-U-CGCUU-UCAUACGGCG-AGA------------------------GU--CAUU-GGU-UCA-AA--UCCAA-U-AGUAGGU-A +X01647.1/2451-2378 CGCGGAGU-A-GAGCAGUC-UGGU---AGCUCG-C-AAGGC-UCAUAACCUU-GAG------------------------GU--CAUA-GGU-UCA-AA--UCCUG-U-CUCCGCC-A +M20949.1/1-72 UGGGGCGU-C-GCCAAGU---GGU---AAGGCU-G-CAGGU-UUUGGUCCUG-UUA------------------------UU--CGGA-GGU-UCG-AA--UCCUU-C-CGUCCCA-G +M20945.1/1-72 GCGUCCAU-C-GUCUAAA---GGAU--AGGACA-G-AGGUU-UUCUAAACCU-CCA------------------------G---UAUA-GGU-UCG-AA--UCCUA-U-UGGACGU-A +M20964.1/1-88 GGAGAGAU-G-GCCGAGU---GGACG-AAAGCG-G-CGGAU-UGCUAAUCCG-UU--GUA-CAAGCUU-----UUUGUAC----CGAG-GGU-UCG-AA--UCCCU-C-UCUCUCC-G +M20966.1/1-88 GGAGAGAU-G-GCCGAGU---GGUUU-AUGGCG-U-CGGUC-UUGAAAACCG-AU--AUA-GUUUUUA-----AGAUUAU----CGAG-GGU-UCA-AA--UCCCU-C-UCUCUCC-U +M20968.1/1-73 GCCUGUUU-A-GCUCAGA---GGUC--AGAGCG-U-CGCAC-UUGUAAUGCG-AUG------------------------GU--CAUC-GGU-UCG-AC--UCCGA-U-AGCGGGC-U +M20972.1/1-72 AGGGCUAU-A-GCUCAGC---GGU---AGAGCG-C-CUCGU-UUACACCGAG-AAU------------------------GU--CUAC-GGU-UCA-AA--UCCGU-A-UAGCCCU-A +M20969.1/1-74 GCGCUUUU-A-GUUCAGUU-CGGU---AGAACG-U-AGGUC-UCCAAAACCU-AAU------------------------GU--CGUA-GGU-UCA-AA--UCCUA-C-AGAGCGU-G +X04465.1/3679-3758 GCCUUGAU-G-GUGAAAU---GGUA--GACACG-C-GAGAU-UCAAAAUUUC-GU--GCU-----UAA---------AGCA---UGGA-GGU-UCG-AG--UCCUC-U-UCAAGGC-A +X04465.1/29596-29669 GCGGACGU-A-GCCAAGU---GGAUU-AAGGCA-G-UGGAU-UGUGGAUCCU-CUA------------------------CG--CGCG-GGU-UCA-AU--UCCCG-U-CGUUCGC-C +X04465.1/36643-36562 GGGUCGAU-G-CUCGAGU---GGUUA-AUGGGG-A-CGGAC-UGUAAAUCCG-CU--GGC-----AAU---------GCCUA--CGCU-GGU-UCA-AA--UCCAG-C-UCGACCC-A +X04465.1/36787-36715 GCCCCCAU-C-GUCUAGU---GGCCU-AGGACA-C-CUCUC-UUUCAAGGAG-GCG------------------------A---CGGG-GAU-UCG-AA--UUCCC-C-UGGGGGU-A +X04465.1/38367-38438 GCCCUUUU-A-ACUCAGU---GGU---AGAGUA-A-CGCCA-UGGUAGGGCG-UAA------------------------GU--CAUC-GGU-UCA-AA--UCUGA-U-AAAGGGC-U +X04465.1/48845-48932 GGAAAGAU-G-GUUGAGU---GGUUU-AAGGCG-U-AGCAU-UGGAAAUGCU-AU--GUA-GGCUUUU-----GGUCUAU----CGAG-GGU-UCG-AA--UCCCU-C-UCUUUCC-G +X04465.1/50998-51070 GCCGGGAU-A-GCUCAGUU--GGU---AGAGCA-G-AGGAC-UGAAAAUCCU-CGU------------------------GU--CACC-AGU-UCA-AA--UCUGG-U-UUCUGGC-A +X04465.1/57877-57950 GGGUUUGU-A-GCUCAGU---GGAUU-AGAGCU-C-AUGGU-UCCGAAUCAU-GAA------------------------GU--CAAG-GGU-UCG-AA--UCCCU-U-CUAACCC-U +X04465.1/64788-64715 AGGGAUGU-A-GCGCAGUU-UGGU---AGCGCG-U-UUGUU-UUGGGUACAA-AAU------------------------GU--CGCA-GGU-UCG-AA--UCCUG-U-CAUCCCU-A +X04465.1/90332-90261 UCCUUAGU-A-GCUCAGU---GGU---AGAGCG-G-UCGGC-UGUUAACCGA-UUG------------------------GU--CGUA-GGU-UCA-AA--UCCUA-C-CUGAGGA-G +X04465.1/112638-112565 GGGUUUGU-A-GCUCAGA---GGAUU-AGAGCA-C-GUGGC-UACGAACCAC-GGU------------------------GU--CGGG-GGU-UCG-AA--UCCCU-C-CUUGCCC-A +X04465.1/120306-120235 AGGGAUAU-A-ACUCAGC---GGU---AGAGUA-U-CACCU-UGACGUGGUG-GAA------------------------GU--CAUC-AGU-UCG-AA--CCUGA-U-UAUCCCU-A +X72895.1/1-72 GGCGACAU-G-GCCGAGU---GGU---AAGGCA-G-AGGAC-UGCAAAUCCU-UUU------------------------UU--CCCC-AGU-UCA-AA--UCCGG-G-UGUCGCC-U +X00181.1/495-582 GGAGAGAU-G-GCUGAGU---GGACU-AAAGCG-G-CGGAU-UGCUAAUCCG-UU--GUA-CGA-GUU---AA-UCGUAC----CGAG-GGU-UCG-AA--UCCCU-C-UCUUUCC-G +X01016.1/450-523 AGGGAUGU-G-GCGCAGCU-UGGU---AGCGCG-U-UUGUU-UUGGGUACAA-AAU------------------------GU--CACA-GGU-UCA-AA--UCCUG-U-CAUCCCU-A +X01017.1/116-189 CGCGGGGU-A-GAGCAGUU-UGGU---AGCUCG-C-AAGGC-UCAUAACCUU-GAG------------------------GU--CACG-GGU-UCA-AA--UCCUG-U-CUCCGCA-A +X01017.1/487-417 GCGGAUAU-G-GUCGAAU---GGU---AAAAUU-U-CUCUU-UGCCAAGGAG-AAG------------------------A---UGCG-GGU-UCG-AU--UCCCG-C-UAUCCGC-C +M16909.1/81-161 GCCUUGGU-G-GUGAAAU---GGUA--GACACG-C-GAGAC-UCAAAAUCUC-GU--GCU-A---AA---------UAGCG---UGGA-GGU-UCG-AG--UCCUC-U-UCAAGGC-A +M23767.1/162-241 GCCGCUAU-G-GUGAAAUU--GGUA--GACACG-C-UGCUC-UUAGGAAGCA-GU--GC------UAA---U------GCA---UCUC-GGU-UCG-AG--UCCGA-G-UGGCGGC-A +X02217.1/416-488 GCCCCCAU-C-GUCUAGU---GGUUU-AGGACA-U-CUCUC-UUUCAAGGAG-GCA------------------------G---CGGG-GAU-UCG-AA--UUCCC-C-UGGGGGU-A +M16912.1/86-157 GCCCUUUU-A-ACUCAGU---GGU---AGAGUA-A-CGCCA-UGGUAAGGCG-UAA------------------------GU--CAUC-GGU-UCA-AA--UCCGA-U-AAGGGGC-U +M16897.1/160-88 GCCCGCUU-A-GCUCAGA---GGUU--AGAGCA-U-CGCAU-UUGUAAUGCG-AUG------------------------GU--CAUC-GGU-UCG-AU--UCCGA-U-AGCCGGC-U +X07922.1/12-85 AGGGAUGU-A-GCGCAGCU-UGGU---AGCGCG-U-UUGUU-UUGGGUACAA-AAU------------------------GU--CACG-GGU-UCA-AA--UCCUG-U-CAUCCCU-A +X15768.1/134-207 GGGCUAUU-A-GCUCAGUU--GGUU--AGAGCG-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CUCU-GGU-UCA-AA--UCCAG-A-AUGGCCC-A +X15768.1/211-283 GGGGGUAU-A-GCUCAGUU--GGU---AGAGCG-C-UGCCU-UUGCAAGGCA-GUG------------------------GU--CAGC-GGU-UCG-AG--UCCGC-U-UACCUCC-A +X15901.1/44438-44524 GGAGAGAU-G-GCCGAGC---GGUUC-AAGGCG-U-AGCAU-UGGAACUGCU-AU--GUA-GAC-UUU---U--GUUUAC----CGAG-GGU-UCG-AA--UCCCU-C-UCUUUCC-G +X15901.1/99287-99217 UCCUCAGU-A-GCUCAGU---GGU---AGAGCG-G-UCGGC-UGUUAACUGA-CUG------------------------GU--CGUA-GGU-UCG-AA--UCCUA-C-UUGGGGA-- +X15901.1/105074-105153 GCCGCCAU-G-GUGAAAUU--GGUA--GACACG-C-UGCUC-UUAGGAAGCA-GU--GCU-----CA----------AGCA---UCUC-GGU-UCG-AG--UCCGA-G-UGGCGGC-A +M21373.1/208-280 GGGGGUAU-A-GCUCAGUU--GGU---AGAGCG-U-UGCUU-UUGCAUAGCA-GAC------------------------GU--CAGC-AGU-UCG-AG--UCUGC-U-UAUCUCC-A +X05394.1/580-653 CGCGGAGU-A-GAGCAACU-UGGU---AGCUCG-C-AAGGC-UCAUAACCUU-GAG------------------------GU--UACG-GGU-UCA-AA--UCCCG-U-CUCCGCA-C +X05394.1/803-733 GCGGAUAU-A-GUUGAAU---GGU---AUAAUU-U-CUCUU-UGCCAAGGAG-AAG------------------------A---CGCG-GGU-UCA-AU--UCCCG-C-UAUCCGC-C +X55033.1/412-483 AGGGGUAU-A-ACUCAGC---GGU---AGAGUG-U-CACCU-UGACGUGGUG-GAA------------------------GU--CAUC-AGU-UCG-AA--CCUGA-U-UAUCCCU-A +M16864.1/642-714 GCCCCCAU-C-GUCUAGC---GGUUU-AGGACA-U-CUCUC-UUUCAAGGAG-GCA------------------------A---CGGG-GAU-UCG-AC--UUCCC-C-UGGGGGU-A +M16863.1/21-94 GGGCUCGU-A-GCUCAGA---GGAUU-AGAGCA-C-GCGGC-UACGAACCAC-GGU------------------------GU--CGGG-GGU-UCG-AA--UCCCU-C-CUCGCCC-A +M16863.1/456-385 UCCCCAGU-A-GCUCAGU---GGU---AGAGCG-G-UCGGC-UGUUAACCGA-UUG------------------------GU--CGUA-GGU-UCA-AA--UCCUA-U-UUGGGGA-G +M16863.1/577-660 GCCUUGGU-G-GUGAAAUGGUGGUA--GACACG-C-GAGAC-UCAAAAUCUC-GU--GCU-----AAA---C-----AGCG---AGGA-GGU-UCG-AG--UCCUC-U-UCAAGGC-A +X04761.1/963-892 GCCCUUUU-A-ACUCAGU---GGU---AGAGUA-A-CGCCA-UGGUAAGGCG-UAA------------------------GU--CGUC-GGU-UCA-AA--UCCGA-U-AAAGGGC-U +X05395.1/122-195 AGGGAUGU-A-GCGCAGCU-UUGU---AGCGCG-U-UUGUU-UUGGGUACAA-AAU------------------------GU--CACA-GGU-UCA-AA--UCCUG-U-CAUCCCU-A +D11467.1/1-72 UGGGGCGU-G-GCCAAGC---GGU---AAGGCA-G-CAGGU-UUUGAUCCUG-UUA------------------------UU--CGGA-GGU-UCG-AA--UCCUU-C-CGUCCCA-G +D11467.1/6989-6916 GCAUCCAU-G-GCUGAAU---GGUU--AAAGCG-C-CCAAC-UCAUAAUUGGCGAA------------------------CU--CGCG-GGU-UCA-AU--UCCUG-C-UGGAUGC-A +D17510.1/119065-118992 GCGGACGU-A-GCCAAGU---GGACC-AAGGCA-G-UGGAU-UGUGAAUCCA-CCA------------------------CG--CGCG-GGU-UCA-AU--UCCCG-U-CGUUCGC-C +K00235.1/1-85 GGGGAUAU-G-GCGAAAUU--GGUA--GACGCU-A-CGGAC-UUAAAAUCCG-UC--GAC-UU--AAU-------AAAUCA---UGAG-GGU-UCA-AG--UCCCU-C-UAUCCCC-A +X01120.1/76-149 GGGCCUGU-A-GCUCAGA---GGAUU-AGAGCA-C-GUGGC-UACGAACCAC-GAU------------------------GU--CGGG-GGU-UCG-AA--UCCCU-C-CUAGCCC-A +X13558.1/186-115 UGGGGCGU-A-GCCAAGC---GGU---AAGGCA-A-CGGGU-UUUGGUCCCG-CUA------------------------UU--CGGA-GGU-UCG-AA--UCCUU-C-CGUCCCA-G +X52739.1/1-72 GGGCUAUU-A-GCUCAGU---GGU---AGAGCG-C-GCCCC-UGAUAAGGGC-GAG------------------------GU--CUCU-GGU-UCA-AG--UCCAG-G-AUAGCCC-A +M31489.1/112-183 GCGUCCAU-A-GUCUAAU---GGAU--AGGACA-U-AGGUC-UUCUAAACCU-UUG------------------------G---UAUA-GGU-UCA-AA--UCCUA-U-UGGACGC-A +Y00125.1/116-196 GCCUUGGU-G-GUGAAAU---GGUA--GACACG-C-GAGAC-UCAAAAUCUC-GU--GCU-----AAA---A-----AGCG---UGGA-GGU-UCG-AG--UCCUC-U-UCAAGGC-A +M16843.1/2824-2752 GCCUACUU-A-ACUCAGU---GGUU--AGAGUA-U-UGCUU-UCAUACGGCG-GGA------------------------GU--CAUU-GGU-UCA-AA--UCCAA-U-AGUAGGU-A +M16839.1/41-111 GCGAGCGU-A-GUUCAAU---GGU---AAAAUA-U-CUCCU-UGCCAAGGAG-AAG------------------------A---UACG-GGU-UCG-AU--UCCCG-C-CGCUCGC-C +X07379.1/305-375 GGCGGCAU-G-GCCAAGC---GGU---AAGGCA-G-GGGAC-UGCAAAUCCU-UUA------------------------U---CCCC-AGU-UCA-AA--UCUGG-G-UGCCGCC-U +X62453.1/1-74 GGGAUUGU-A-GUUCAAUU--GGUC--AGAGCA-C-CGCCC-UGUCAAGGCG-GAA------------------------GC--UGCG-GGU-UCG-AG--CCCCG-U-CAGUCCC-G +L02941.1/716-643 AGCGGAGU-A-GAGCAGUU-UGGU---AGCUCA-C-GAGGC-UCAUAACCUU-GAG------------------------GU--CACG-GGU-UCG-AU--UCCCG-U-CUCCGCA-C +X05295.1/313-226 GGAGAGAU-G-GCUGAGU---GGUUG-AUAGCU-C-CGGUC-UUGAAAACCG-GU--AUA-GUUCUAG-----GAACUAU----CGAG-GGU-UCG-AA--UCCCU-C-UCUCUCC-U +X70810.2/2089-2011 UCCUUCGU-G-GUGAAAU---GGUA--AACACG-U-GUGAU-UCAAAAUCAC-AU--GC------AUA---A------GCU---UGCC-GGU-UCG-AG--UCCGG-U-CGAAGGU-A +X70810.2/30807-30878 GCCUUUUU-A-GCUCAGU---GGU---AGAGCA-U-UGUAU-UUGUAAUGCG-GUG------------------------GU--CGUC-GGU-UCG-AA--UCCGA-C-AAAAGGC-U +X70810.2/30968-31041 GGCGGAGU-A-GAGCAGUC-AGGU---AGCUCG-C-AGGGC-UCAUAAUCCU-GAA------------------------GU--CAGA-GGU-UCA-AA--UCCUU-U-CUCCGCU-A +X70810.2/31388-31317 UGAGGCGU-A-GCCAAGU---GGU---AAGGCA-A-CGGGU-UUUGGCCCUG-UCA------------------------UU--CGGA-GGU-UCG-AA--UCCUC-C-CGCCUCA-G +X70810.2/60996-61067 GGCGGCAU-G-GCCAAGC---GGU---AAGGCA-G-AAGAU-UGCAAAUCUU-UUA------------------------UU--CCCC-AGU-UCG-AU--UCUGG-G-UGUCGUC-U +X70810.2/100844-100773 GUGGGUGU-A-GCCAAGU---GGU---AAGGCA-A-AGGAC-UGUGACUCCU-UCA------------------------UU--CGCG-GGU-UCG-AU--CCCCG-U-CAUUCAC-C +X70810.2/102679-102606 GGGCUUGU-A-GCUCAGU---GGACU-AGAGCA-C-GUGGC-UACGAACUAC-GGA------------------------GU--CAGG-GGU-UCG-AA--UCCCU-U-CUUGCCC-G +X70810.2/102754-102683 UCCUUAAU-A-GCUCAGU---GGU---AGAGCA-A-UCGGC-UGUUAACCGA-UCG------------------------GU--CGUA-GGU-UCG-AA--UCCUA-C-UUAAGGA-G +X70810.2/102843-102771 GGGGGUAU-A-GCUCAGUU--GGU---AGAGCG-U-CUGCC-UUACAAGCAG-AAU------------------------GU--CAGC-GGU-UCG-AA--UCCGU-U-UGCCCUC-A +X17318.1/109-39 GGCGGCAU-G-GCCAAGU---GGU---AAGGCA-G-GGGAC-UGCAAAUCCU-UUA------------------------C---CCCC-AGU-UCA-AA--UCUGG-G-UGCCGCC-U +AL132988.4/95773-95841 AAGGGCUU-A-GCUUAA----UU----AAAGUG-G-CUGAU-UUGCGUUCAG-UUG------------------------A---UGCA-GAG-UGG-GG--UUUUG-C-AGUCCUU-A +AL163195.5/3702-3774 GGCUCCAU-A-GCUCAGG---GGUU--AGAGCA-C-UGGUC-UUGUAAACCA-GGG------------------------GU--CGCG-AGU-UCA-AA--UCUCG-C-UGGGGCC-U +AL352978.6/119697-119770 GGCCGGUU-A-GCUCAGUU--GGUU--AGAGCG-U-GGUGC-UAAUAACGCC-AAG------------------------GU--CGCG-GGU-UCG-AU--CCCCG-U-ACGGGCC-A +X07925.1/53-125 GCGGGUGU-A-GCUCAGCU--GGU---AGAGCG-C-AACCU-UGCCAAGGUU-GAU------------------------GU--CGCG-CGU-UCG-AA--UCGCG-U-CACCCGC-U +X07924.1/110-197 GGAGAGAU-G-GCCGAGU---GGUUG-AAGGCG-C-AGCAC-UGGAAAUGCU-GU--UUA-AGG-UUU---UC-CCUUAA----CGAG-GGU-UCG-AA--UCCCU-C-UCUCUCC-G +J01395.1/2878-2951 GGGCUAUU-A-GCUCAGUU--GGUU--AGAGCG-U-UGCUU-UGAUAAGGCA-AAA------------------------GU--CGAA-AGU-UCA-AA--UCUUU-C-AUAGCCC-A +J01395.1/3006-3078 GGGGAUAU-A-GCUCAGUU--GGU---AGAGCG-C-UGCCU-UUGCAAGGCA-GAU------------------------GU--CAGC-GGU-UCG-AA--UCCGC-U-UAUCUCC-A +X55320.1/1-72 UGGGGCAU-A-GCCAAGU---GGU---AAGGCA-U-UGGAC-UUUGACUCCA-AGA------------------------UG--CAUG-GGU-UCG-AA--UCCUA-U-UGCCCCA-G +X55321.1/1-72 AGACACGU-A-GCUUAGU---GGU---AAAGCA-C-UGGUC-UCAUAAGCCA-GCU------------------------AU--CGCA-AGU-UCG-AA--UCUCG-C-CGUGUCU-A +X55319.1/1-74 AGAGGUGU-A-GCUUAGUU--GGUU--AAAGCG-C-AAGAU-UCCAAAUCUU-GAA------------------------AU--CGAG-GGU-UCG-AG--UCCUU-U-CAUCUCU-G +X17616.1/380-293 GGAGAGAU-G-GCUGAGU---GGACU-AAAGCG-U-UGGAU-UGCUAAUCCA-UU--GUA-CGA-GUU---AA-UCGUAC----CGAG-GGU-UCG-AA--UCCCU-C-UCUUUCC-C +D89936.1/1231-1150 GCCGGUGU-G-GCGGAAUU--GGCA--GACGCG-C-ACGAC-UCAAAAUCGU-GU--UCC-----UUC---U-----GGAG---UGUC-GGU-UCG-AC--CCCGA-C-CACCGGU-A +U25144.1/1062-991 GGCUCCUU-A-GCAUAGU---GGU---AUUGCG-C-UUCCC-UAGUAAGGAA-GAG------------------------GU--CAUG-AGU-UCG-AU--CCUCA-U-AGGAGCC-U +X59563.1/1377-1449 GCCCGUUU-A-GCAAAGUU--GGA---AUUGCG-G-CAGCC-UUCUAAGCUG-CAG------------------------GU--CGUG-GGA-UCG-AG--ACCCA-C-AAUGGGU-G +X59562.1/71-144 GGGACUAU-A-GUUUAGUU--GGAU--AUAACG-A-CCGGC-UACGAACCGG-UAG------------------------GU--CUCA-GGU-UCG-AC--CCCUG-A-UGGUCUC-G +K02322.1/59-130 AGCUUCUU-A-ACUCAGG---GGU---AGAGUG-C-GAGGC-CCAUAACCUC-GAG------------------------GU--CCUA-GGA-UCG-AA--ACCUA-G-AGAAGCU-A +M24578.1/1373-1445 GCCCGGCU-A-GCUCAGUC--GGU---AGAGCG-C-CAGAC-UCUUAAUCUG-GUG------------------------GU--CGGG-GGU-UCG-AG--CCCCC-C-GUUGGGC-G +X53443.1/135-206 GCCUGGAU-G-GCUAAAU---GGC---AGAGCG-A-GCGGC-UGUUAACCGC-UAG------------------------GU--CCAU-GGU-UCG-AU--CCCAU-G-UCUAGGC-A +X53444.1/72-144 GGGGAAGU-A-GCUCAGAU--GGU---AGAGCG-C-UCGCU-UAGCAUGCGA-GAG------------------------GU--AAAG-GGU-UCG-AU--ACCCU-U-CUUCCUC-A +X59566.1/318-390 GGUUUUAU-A-GUGUAAUU--GGUU--AGCACC-C-AGGAC-UUUGAAUCCU-GUA------------------------A---UCUG-AGU-UCG-AG--UCUCA-G-UAGAACC-A +X59571.1/319-390 GCCGUGAU-A-GUAUAGU---GGU---AGUACA-U-CAGAU-UGUGGCUCUG-UUG------------------------AC--CCUU-GGU-UCG-AU--UCCAG-G-UCGCGGC-A +X59573.1/314-396 GCAAGGGU-A-GGAAAGUC-UGGUUA-AAUCCG-U-GUGAC-UUAAGAUCUC-AU--CC------AUU---C------GGUU--CGCG-AGU-UCG-AA--UCUCG-C-CUCUUGC-A +X59582.1/477-558 GACAUCGU-A-GCAAAGU---GGUCU-AAUGCG-U-CUGAC-UAGAAAUCAG-AU--CCC-U---UC---------GGGGG---CGCA-GGU-UCG-AA--CCCUG-C-CGAUGUC-G +X59583.1/330-410 GACACCUU-A-GCAAAGU---GGUU--AAUGCG-G-CGCCC-UGCUAAGGCG-UU--CUC-U---UC---------GGAGG---CGCA-GGU-UCG-AA--CCCUG-C-AGGUGUC-G +X69660.1/114-186 GCCCAGAU-A-GCUCAGUC--GGU---AGAGCG-C-AAGGC-UUUUAACCUU-GUG------------------------GU--CGGG-GGU-UCG-AG--CCCCC-C-UUUGGGC-G +X03499.1/37-110 GGUCGGAU-G-GUGUAGUC--GGUU--AUCACG-G-UUGCU-UUACACGCAA-CAG------------------------GU--CUCG-AGU-UCG-AU--CCUCG-G-UCGGAUC-A +V00238.1/262-333 UCCUAUAU-U-GUCUAGU---GGUU--AGGAUA-U-CCGGC-UCUCACCCGG-AAG------------------------G---CCCG-GGU-UCA-AU--UCCCG-G-UAUGGGA-A +X07778.1/115-45 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CACUAAGA-A-GCUAAUAU--GGGU--UAAGCA-C-CAGCC-UUUUAAGCUG-GAA------------------------GC--AGGU-GAC-UCC-CA--ACCAC-C-CUUAAUG-A +X99772.1/9544-9611 -UCUUUCU-A-GUACUAA---GG----AGUAUA-A-GUGGC-UUCCAACCAC-ACG------------------------G---UCUU-GGU-UAG-AG--UCCAA-G-GAAAGAU-- +X99772.1/11702-11770 GUAGAUUU-A-GUUUAA----CC----AAGACA-U-UAGAU-UGUGAUUCUA-AAA------------------------A---UAGA-GGU-UAA-AC--CCCUC-U-AAUCCAC-C +X99772.1/11841-11913 GCUCCUAA-A-GGAUAAU---AGCU--CAUCCG-U-UGGUC-UUAGGAACCA-AAA------------------------AC--UCUU-GGU-GCA-AC--UCCAA-G-UAGCAGC-U +M17129.1/151-222 AUCAGAGU-G-GCGCAGC---GGAA---GCGUG-G-UGGGC-CCAUAACCCA-CAG------------------------GU--CCCA-GGA-UCG-AA--ACCUG-G-CUCUGAU-A +X87209.2/181-268 GAAGGUAU-G-GCUGAGU---GGCUU-AAGGCA-U-UGGUU-UGCUAAAUCG-AC--AUA-CAA-GAA---GA-UUGUAU----CAUG-GGU-UCA-AA--UCCCA-U-UUCCUCC-G +X99256.1/11558-11626 GUAAACAU-A-GUUUAA----UC----AAAACA-U-UAGAU-UGUGAAUCUA-ACA------------------------A---UAGA-GGC-UCG-AA--ACCUC-U-UGCUUAC-C +M87833.1/353-437 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GGUCUCUU-G-GCCCAGUU--GGUU--AAGGCA-C-CGUGC-UAAUAACGCG-GGG------------------------AU--CAGC-GGU-UCG-AU--CCCGC-U-AGAGACC-A +X56506.1/61-144 GGAGGGUU-G-GCCGAGC---GGUCU-AAGGCG-G-CAGAC-UUAAGAUCUG-UU--GGA-C---GGU---U----GUCCG---CGCG-AGU-UCG-AA--CCUCG-C-AUCCUUC-A +J01373.1/73-144 GGCGCCGU-G-GCGCAGU---GGA---AGCGCG-C-AGGGC-UCAUAACCCU-GAU------------------------GU--CCUC-GGA-UCG-AA--ACCGA-G-CGGCGCU-A +M26928.1/1266-1194 GGGCACAU-G-GCGCAGUU--GGU---AGCGCG-C-UUCCC-UUGCAAGGAA-GAG------------------------GU--CAUC-GGU-UCG-AU--UCCGG-U-UGCGUCC-A +K00368.1/1-82 GGCACUAU-G-GCCGAGU---GGUU--AAGGCG-A-CAGAC-UUGAAAUCUG-UU--GGG-C---UCU--------GCCCG---CGCU-GGU-UCA-AA--UCCUG-C-UGGUGUC-G +K00367.1/1-82 GGCACUAU-G-GCCGAGU---GGUU--AAGGCG-A-GAGAC-UCGAAAUCUC-UU--GGG-C---UCU--------GCCCG---CGCU-GGU-UCA-AA--UCCUG-C-UGGUGUC-G +X55342.1/30-101 GUUCCGUU-G-GCGUAAU---GGU---AACGCG-U-CUCCC-UCCUAAGGAG-AAG------------------------AC--UGCG-GGU-UCG-AG--UCCCG-U-ACGGAAC-G +X51551.1/101-172 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CUCUCGGU-A-GCCAAGUU--GGUUU-AAGGCG-C-AAGAC-UGUAAAUCUU-GAG------------------------AU--CGGG-CGU-UCG-AC--UCGCC-C-CCGGGAG-A +X66375.1/99-169 GGUCCUAU-A-GUGUAGU---GGUU--AUCACU-U-UCGGU-UCUGAUCCGA-ACA------------------------A---CCCC-AGU-UCG-AA--UCCGG-G-UGGGACC-- +Z35950.1/5070-5141 UCCGUGAU-A-GUUUAAU---GGUC--AGAAUG-G-GCGCU-UGUCGCGUGC-CAG------------------------A---UCGG-GGU-UCA-AU--UCCCC-G-UCGCGGA-G +Z36079.1/181-110 GCUCGUAU-G-GCGCAGU---GGU---AGCGCA-G-CAGAU-UGCAAAUCUG-UUG------------------------GU--CCUU-AGU-UCG-AU--CCUGA-G-UGCGAGC-U +Z74072.1/3173-3245 GGGCGUGU-G-GCGUAGUC--GGU---AGCGCG-C-UCCCU-UAGCAUGGGA-GAG------------------------GU--CUCC-GGU-UCG-AU--UCCGG-A-CUCGUCC-A +Z74387.1/1846-1765 GGCAACUU-G-GCCGAGU---GGUU--AAGGCG-A-AAGAU-UAGAAAUCUU-UU--GGG-C---UUU--------GCCCG---CGCA-GGU-UCG-AG--UCCUG-C-AGUUGUC-G +Z28209.1/4569-4498 GCCCUUUU-G-GCCAAGU---GGU---AAGGCA-U-CGCAC-UCGUAAUGCG-GGG------------------------AU--CGUG-GGU-UCA-AU--UCCCA-C-AGAGGGC-A +Z73326.1/1146-1075 GGUCCUAU-A-GUGUAGU---GGUU--AUCACU-U-UCGGU-UUUGAUCCGG-ACA------------------------A---CCCC-GGU-UCG-AA--UCCGG-G-UAGGACC-U +Z71311.1/286-214 GCUUCUAU-G-GCCAAGUU--GGU---AAGGCG-C-CACAC-UAGUAAUGUG-GAG------------------------AU--CAUC-GGU-UCA-AA--UCCGA-U-UGGAAGC-A +Z71616.1/3983-4056 GACUCCAU-G-GCCAAGUU--GGUU--AAGGCG-U-GCGAC-UGUUAAUCGC-AAG------------------------AU--CGUG-AGU-UCA-AC--CCUCA-C-UGGGGUC-G +Z74797.1/2502-2432 GCGCAAGU-G-GUUUAGU---GGU---AAAAUC-C-AACGU-UGCCAUCGUU-GGG------------------------C---CCCC-GGU-UCG-AU--UCCGG-G-CUUGCGC-A +X81069.1/365-436 UCCGAUAU-A-GUGUAAC---GGCU--AUCACA-U-CACGC-UUUCACCGUG-GAG------------------------A---CCGG-GGU-UCG-AC--UCCCC-G-UAUCGGA-G +X65556.1/351-423 GCGGACGU-A-GCUCAGUU--GGU---AGAGCG-C-AACCU-UGCCAAGGUU-GAG------------------------GU--CGCG-AGU-UCG-AG--CCUCG-U-CGUCCGC-U +X52070.1/699-771 UCCUCGGU-A-GCUCAAUU--GGC---AGAGCA-G-CCGGC-UGUUAACCGG-CAG------------------------GU--UACU-GGU-UCG-AG--UCCAG-U-CCGGGGA-G +X52070.1/777-849 UCCUCCGU-A-GCUCAAUU--GGC---AGAGCA-G-CCGGC-UGUUAACCGG-CAG------------------------GU--UACU-GGU-UCG-AG--UCCAG-U-CGGGGGA-G +X03715.1/171-243 GGCACUAU-A-GCCAAGGU--GGCU--AAGGCA-U-GGGAC-UGCAACUCCC-CGA------------------------U---CGUC-GGU-UCG-AA--UCCGA-C-UAGUGCC-U +X03715.1/288-361 GCGCCCAU-A-GAUCAAUU--GGAU--AGAUCG-U-UUGAC-UACGGAUCAA-AAG------------------------GU--UGAG-GGU-UCG-AU--UCCUU-C-UGGGCGC-G +X03715.1/388-461 CGGAAAGU-A-GCUUAGCU-UGGU---AGAGCA-C-UCGGU-UUGGGACCGA-GGG------------------------GU--CGCA-GGU-UCG-AA--UCCUG-U-CUUUCCG-A +X03715.1/481-553 GGGCCCGU-A-GCUCAGCU--GGG---AGAGCA-C-CUGCC-UUGCACGCAG-GGG------------------------GU--CGAC-GGU-UCG-AU--CCCGU-U-CGGGUCC-A +X03715.1/589-662 GGCGGGAU-A-GCUCAGCU--GGUU--AGAGCG-C-UCGGC-UCAUACCCGG-GAG------------------------GU--CAAG-AGU-UCA-AG--UCUCU-U-UCUCGCU-A +X03715.1/667-740 GGACCCUU-A-GCUCAGUU--GGUU--AGAGCA-U-CCGGC-UCAUAACCGG-AUG------------------------GU--CACU-GGU-UCA-AG--UCCAG-U-AGGGUCC-A +X03715.1/779-868 GGAAGAUU-A-CCCAAGUC-UGGUUG-AAGGGA-U-CGGUC-UUGAAAAUUG-ACA-GGC-GGU-GAA---A--GCCGCG----CGGG-GGU-UCG-AA--UCCCU-C-AUCUUCC-G +X03715.1/926-998 CGUGGGGU-G-GAGCAGUU--GGU---AGCUCG-U-UGGGC-UCAUAACCCA-AAG------------------------GU--CGCA-GGU-UCA-AG--UCCUG-C-CCCCGCA-A +X03715.1/1004-1077 GGUCUUGU-A-GUGAAGUU--GGUU--AUCAUG-C-CUCUC-UGUCACAGAG-GAG------------------------AU--CGCG-GGU-UCA-AG--UCCCG-U-CAAGACC-G +X03715.1/1086-1158 GGUUCAGU-A-GCUCAGUU--GGU---AGAGCA-U-UUGAU-UGAAGCUCAA-AGU------------------------GU--CGGC-AGU-UCA-AU--UCUGU-C-CUGAACC-A +AJ400848.1/26718-26788 GGCGGCAU-G-GCCGAGU---GGU---AAGGCG-G-AGGAC-UGCAAAUCCU-UGU------------------------U---CCCC-AGU-UCA-AA--UCCGG-G-UGUCGCC-U +AJ400848.1/29803-29731 GCCCCCAU-C-GUCUAGC---GGUUC-AGGACA-U-CUCUC-UUUCAAGGAG-ACA------------------------A---CGGG-GAU-UCG-AC--UUCCC-C-UGGGGGU-A +AJ400848.1/34280-34188 GGAGAGAU-G-GCUGAGU---GGUUG-AUAGCU-C-CGGUC-UUGAAAACCG-GC--AUA-GUUCUUUAUUCAGAACUAU----CGAG-GGU-UCG-AA--UCCCU-C-UCUCUCC-U +AJ400848.1/44024-44110 GGAGAGAU-G-GCCGAGU---GGUUG-AAGGUG-U-AGCAU-UGGAACUGCU-AU--GUA-GGC-UUU---U--GUUUAC----CGAG-GGU-UCG-AA--UCCCU-C-UCUUUCC-G +AJ400848.1/50859-50931 ACCUACUU-A-ACUCAGC---GGUU--AGAGUA-U-UGCUU-UCAUACGGCG-GGA------------------------GU--CAUU-GGU-UCA-AA--UCCAA-U-AGUAGGU-A +K00344.1/1-73 GUCGCAAU-G-GUGUAGUU--GGG---AGCAUG-A-CAGAC-UGAAGAUCUG-UUG------------------------GU--CAUC-GGU-UCG-AU--CCCGG-U-UUGUGAC-A +K00570.1/851-921 UCUCCUUU-A-GUAUAGG---GGU---AGUACA-C-AAGCC-UGUCACGCUU-GCA------------------------G---CCCG-GGU-UCG-AA--UCCCG-G-AGGGAGA-G +X00239.1/111-183 GGUCUCGU-G-GCCCAAU---GGUU--AAGGCG-C-UUGAC-UACGAAUCAA-GAG------------------------AU--UCCA-GGU-UCG-AC--UCUUG-G-CGGGAUC-G +K00369.1/1-82 GUCACUAU-G-UCCGAGU---GGUU--AAGGAG-U-UAGAC-UUCAAAUCUA-AU--GGG-C---UUU--------GCCCG---CGCA-GGU-UCA-AA--UCCUG-C-UGGUGAC-G +M57698.1/294-367 GGUCGCAU-G-AUGUAGUC--GGUU--AUCAUG-U-CGAUC-UAAUAAGUCG-AAU------------------------GU--CGCC-GGU-UCG-AA--CCCGG-C-UGUGACC-A +K03079.1/135-206 UGCGCGGU-A-GGAGAGU---GGA---ACUCCG-A-CGGGC-UCAUAACCCG-UAG------------------------GU--CCCA-GGA-UCG-AA--ACCUG-G-CCGCGCA-A +M32254.1/51-124 CGCGGGGU-G-GAGCAGCU-CGGU---AGCUCG-C-UGGGC-UCAUAACUCA-GAG------------------------GU--CGCA-GGU-UCA-AA--UCCUG-U-CCCCGCU-A +X53649.1/160-231 UGGGCUAU-G-GUGUAAUU--GGC---AGCACG-A-CUGAU-UCUGGUUCAG-UUA------------------------G---UCUA-GGU-UCG-AG--UCCUG-G-UAGCCCA-G +X53649.1/604-676 GCCCCCGU-U-GUGUAGC---GGCCU-AGCACG-C-CGCCC-UCUCAAGGCG-GUA------------------------G---CGCC-GGU-UCG-AA--UCCGG-U-CGGGGGU-A +X53649.1/495-566 UGGGCUAU-G-GUGUAAUU--GGC---AGCACG-A-GUGAU-UCUGGUUCAU-UUA------------------------G---UCUA-GGU-UCG-AG--UCCUG-G-UAGCCCA-G +X06054.1/711-637 GGGCCCGU-C-GUCUAGCC-UGGUU--AGGACG-C-UGCCC-UGACGCGGCA-GAA------------------------AU--CCUG-GGU-UCA-AG--UCCCA-G-CGGGCCC-A +AJ243756.1/1-71 GGCUAGGU-A-ACAUAAU---GGA---AAUGUA-U-CGGAC-UGCAAAUCCU-GGA------------------------A---UGAC-GGU-UCG-AC--CCCGU-C-CUUGGCC-U +K02003.1/1-74 GGGGUGGU-G-GCGCAGUU--GGCU--AGCGCG-U-AGGUC-UCAUAAUCCU-GAG------------------------GU--CGAG-AGU-UCG-AG--CCUCU-C-UCACCCC-A +X68198.1/9818-9745 AGCGGGGU-G-GGGUAGUC-AGGA---AAUCCG-A-UGGGC-UCAUAACCCG-UAG------------------------AU--CGAU-GGU-UCA-AA--UCCAU-C-CCCCGCU-A +X57045.1/288-359 UCCUCCCU-G-GCGCAGUC--GGC---AGCGCG-U-UAGGC-UGUUAACCAU-CAG------------------------G---UGUU-GGU-UCG-AA--UCCAA-C-GGGAGGA-G +X57045.1/503-432 GGGCGUGU-A-GCUCAGU---GGU---AGAGCG-C-CCUGU-UUUGCAUACG-GAG------------------------GC--CUAG-GGU-UCA-AA--CCCCU-A-CUCGUCC-A +X57045.1/606-678 GCUCCAGU-G-GCCUAAU---GGAU--AUGGCU-U-UGGAC-UUCUAAUCCA-AAG------------------------GU--UGCG-GGU-UCG-AG--UCCCG-U-CUGGAGU-A +X57046.1/121-203 CCUUCUGU-A-GCUCAAUU--GGU---AGAGCA-U-GUGAC-UGUAGAGUAU-GC--GGG-UAUCACA---GGGU---------CGCU-GGU-UCG-AU--UCCGG-C-CGGAAGG-- +X57046.1/341-271 GGCCGCUU-A-GCACAU----GGC---AGUGCA-C-CACUC-UCGUAAAGUG-GGG------------------------GU--CGCG-AGU-UCG-AU--UCUCG-C-AGUGGCC-U +Z11884.1/254-326 UCCUCCCU-G-GCGCAGUC--GGC---AGCGCG-U-UAGGC-UGUUAACCUA-CAG------------------------GU--CGUU-GGU-UCG-AA--UCCAA-C-GGGAGGA-G +Z11880.1/124-195 GCCUUCCU-A-GCUCAGU---GGU---AGAGCG-C-ACGGC-UUUUAACCGU-GUG------------------------GU--CGUG-GGU-UCG-AU--CCCCA-C-GGAAGGC-G +Z11880.1/281-353 GCCCCCGU-A-GCCCAAU---GGAU--AAGGCG-U-UCGCU-UCCUAAGCGA-AAG------------------------AU--UGCG-GGU-UCG-AG--UCCCG-C-CGGAGGU-A +U18089.1/221-293 GGGGCUGU-A-GCUCAGUU--GGG---AGAGCA-C-CUGCU-UUGCAAGCAG-GGG------------------------GU--CAUC-GGU-UCG-AG--ACCGG-U-CAGCUCC-A +X07395.1/103-176 GGGCCUAU-A-GCUCAGCU--GGCU--AGAGCA-C-ACGCC-UGAUAAGCGU-GAG------------------------GU--CAGU-GGU-UCG-AG--UCCAC-U-UGGGCCC-A +X14835.1/6927-7002 GCCGGGGU-C-GCCUAGCC-UGGUCA-AGGGCG-C-CGGAC-UCAUAAUCCG-GUC------------------------UU--CCCG-GGU-UCG-AA--UCCCG-G-CCCCGGC-A +X16643.1/820-900 GACAAUUU-G-UCCGAGU---GGUU--AAGGAG-G-AAGAC-UAGAAAUCUU-UU--GGG-U---UU---------ACCCG---CGCA-GGU-UCG-AA--UCCUG-C-AGUUGUC-G +X16643.1/1078-1151 GCUCGAUU-A-GCUCAGCU--GGUU--AGAGCA-U-GCGGC-UGUUAACCGC-AAG------------------------GU--CGUA-GGU-UCG-AU--CCCUA-C-AUCGAGC-G +D17540.1/1-73 GCGGGAGU-A-GCUCAGUU--GGU---AGAGCA-U-CGGCU-UCCCAAGCCG-AGG------------------------GU--CGCG-GGU-UCG-AG--UCCCG-U-CUCCCGC-U +X51824.1/190-272 GGGCAGGU-G-CCCGAGC---GGCCA-AAGGGG-A-CGGUC-UGUAAAACCG-UU--GGC-----GUA---U-----GCCUU--CGCU-GGU-UCG-AA--UCCAG-C-CCUGCCC-A +X51824.1/381-453 GCUCGCGU-A-GCUCAGCA--GGU---AGAGCA-C-ACCCU-UGGUAAGGGU-GAG------------------------GU--CGCC-GGU-UCG-AG--CCCGG-C-CGCGAGC-U +X05071.1/204-288 GCGGGGGU-G-CCCGAGCCA-GGUCA-AAGGGG-C-AGGGC-UCAAGACCCU-GU--GGC-----GUA---G-----GCCUG--CGUG-GGU-UCG-AA--UCCCA-C-CCCCCGC-A +M11464.1/1-72 GGUUCCAU-A-GUAUAGU---GGUU--AGUACU-G-GGGAC-UUUAAAUCCC-UUG------------------------A---CCUG-GGU-UCG-AA--UCCCA-G-UGGGACC-U +Y14522.1/1-81 GAGGUGGU-G-GCUGAAU---GGUU--AAAGCG-G-UAGAC-UGUAAAUCUA-UU--GGG-----AUU---------CCCGU--CGCC-GGU-UCG-AU--UCCGG-U-CCACCUC-A +X66443.1/1-72 CAGAUAAA-A-GCCAACC---GGUG---AGGCG-C-UUUCU-UUGGGAGAAA-GAG------------------------UU--AGUU-AGU-UCG-AU--UCUAG-C-UUAUCUG-A +Y00430.1/2429-2358 GGGGGUGU-A-GCUCAGU---GGU---AGAGCG-C-AUGCU-UUGCAUGUAU-GAG------------------------GU--CUUG-GGU-UCA-AU--CCCCA-G-CAUCUCC-A +X04821.1/1-73 GUUUCUGU-A-GUGUAGC---GGUU--AUCACG-U-UCGCC-UCACAUGCGA-AAG------------------------GU--CCCC-GGU-UCG-AA--ACCGG-G-CAGAAAC-A +X86563.2/48153-48081 GCCCACUU-A-GCUCAGA---GGUU--AGAGCA-U-CGCAU-UUGUAAUGCG-AGG------------------------GU--CAUC-GGU-UCA-AA--UCCGA-U-AGUCGGC-U +X86563.2/119998-119925 GGGCCUGU-A-GCUCAGA---GGAUU-AGAGCA-C-GUGGC-UACGAACCAC-GGU------------------------GU--CGGG-GGU-UCG-AA--UCCCU-C-CUCGCCC-A +X13704.1/1807-1880 AGGGAUGU-A-GCGCAGCU-UGGU---AGCGCG-U-UUGUU-UUGGGUACAA-AAU------------------------GU--AACG-GGU-UCA-AA--UCCAG-U-CAUCCCU-A +X52797.1/114-203 GGUGAGGU-G-GCCGAGA---GGCUG-AAGGCG-C-UCCCC-UGCUAAGGGA-GU--AUG-CGGUCAA---AAGCUGCAU----CCGG-GGU-UCG-AA--UCCCC-G-CCUCACC-G +CP000660.1/1877584-1877500 GCGGGGGU-G-CCCGAGCCA-GGUCA-AAGGGG-C-AGGGU-UCAGGUCCCU-GU--GGC-----GUA---G-----GCCUG--CGUG-GGU-UCA-AA--UCCCA-C-CCCCCGC-A +EF108342.1/4950-5016 AGAAGUUU-A-GGAUAUA---CU----AGUCCG-C-GAGCC-UUCAAAGCUC-UAA------------------------G---AAAA-C-A-CAC-AA----GUU-U-AACUUCU-G +D26185.1/159248-159330 GCGGGUGU-G-GCGGAAUU--GGCA--GACGCG-C-UAGAC-UUAGGAUCUA-GU--GUC-----UUU---AU----GACG---UGGG-GGU-UCA-AG--UCCCU-U-CACCCGC-A +K01667.1/50-136 GGAGAGAU-G-CCGGAGC---GGCUG-AACGGA-C-CGGUC-UCGAAAACCG-GA--GUA-GGG-GCA---A--CUCUAC----CGGG-GGU-UCA-AA--UCCCC-C-UCUCUCC-G +EU349704.1/1154-1217 CAUUGCGA-A-GCUU------------AGAGCG-U-UAACC-UUUUAAGUUA-AAG------------------------UU--AGAG-A-U-CAC-AA--A-UCU-C-CACAAUG-A +CP001399.1/1433538-1433611 GCCGCCGU-A-GCUCAGCC-CGGG---AGAGCG-C-CCGGC-UGAAGACCGG-GUU------------------------GU--CCGG-GGU-UCA-AG--UCCCC-G-CGGCGGC-A +X02434.1/248-321 CGGUGAUU-G-GCGCAGCC-UGGU---AGCGCA-C-UUCGU-UCGGGACGAA-GGG------------------------GU--CGGA-GGU-UCG-AA--UCCUC-U-AUCACCG-A +X00547.1/128-212 GGAAGUGU-G-GCCGAGC---GGUUG-AAGGCA-C-CGGUC-UUGAAAACCG-GC--GAC-CC--GAA---A---GGGUU----CCAG-AGU-UCG-AA--UCUCU-G-CGCUUCC-G +K01986.1/320-392 GCUUCCAU-A-GCUCAGCA--GGU---AGAGCA-C-UUCCA-UGGUAAGGAA-GAG------------------------GU--CAGC-GGU-UCG-AG--CCCGC-U-UGGAAGC-U +M29107.1/8-80 GCCGACUU-A-GCUCAGUA--GGU---AGAGCA-A-CUGAC-UUGUAAUCAG-UAG------------------------GU--CACC-AGU-UCG-AU--UCCGG-U-AGUCGGC-A +AJ391519.1/189-125 ACUAUUUU-G-GCAGAUU---------AGUGCA-A-UAAAU-UUAGAAUUUA-UGG------------------------A---UGUA-AU--UUU-U----AUUA-C-AAAUAGU-A +M17116.1/122-205 GCCCAGAU-G-GCGGAAUU--GGUA--GACGCG-C-CAGCU-UCAGGUGCUG-GU--ACU-C---GAA---A----GGGUG---UGGA-GGU-UCG-AG--UCCUC-U-UCUGGGC-A +FJ479743.1/1541-1606 UCUAAUAU-G-GCAGAUU---------AGUGCA-A-UGGAU-UUAAGCUCCA-UAU------------------------A---UAAA-GU--AUU-UU---ACUU-U-UAUUAGA-A +DQ023210.1/1-73 GCCGAUAU-A-GCUCAGUU--GGU---AGAGCA-G-CGCAU-UCGUAAUGCG-AAG------------------------GU--CGUA-GGU-UCG-AC--UCCUA-U-UAUCGGC-A +EU273712.1/9790-9857 UGGUAAUU-A-GUUUAA----GU----AAAAUU-A-AUGAU-UUCGACUCAU-UAG------------------------A---UUAU-GAU-AAU-AG---UCAU-A-AUUACCA-A +K00763.1/69-142 AGGCUUGU-A-GCUCAGGU--GGUU--AGAGCG-C-ACCCC-UGAUAAGGGU-GAG------------------------GU--CGGU-GGU-UCA-AG--UCCAC-U-CAGGCCU-A +EU623091.1/86-157 GUCCCCUU-C-GUCUAGA---GGCCC-AG-ACA-C-CGCCC-UUUCACGGCG-GUA------------------------A---CAGG-GGU-UCG-AA--UCCCC-U-AGGGGAC-G +CP001399.1/1388329-1388256 GGGCCCGU-A-GCUUAGCUC-GGU---AGAGCG-C-UCGGC-UCAUAACCGA-GUG------------------------GU--CAGG-GGU-UCA-AA--UCCCC-U-CGGGCCC-A +AAEU02004214.1/433-498 AUUCAAAU-A-GCUUAUA---UUU---AGAGUA-U-GACAC-UGAAGAUGUC-AUG------------------------G---AGAU-U---AAU-U-----AAU-C-UUUGAAU-A +X00066.1/307-380 GCGCCCGU-A-GCUCAGCU--GGAU--AGAGCG-C-UGCCC-UCCGGAGGCA-GAG------------------------GU--CUCA-GGU-UCG-AA--UCCUG-U-CGGGCGU-A +J01713.1/270-351 GCGGGAGU-G-GCGAAAUU--GGUA--GACGCA-C-CAGAU-UUAGGUUCUG-GC--GCC-----GCA---A-----GGUG---UGCG-AGU-UCA-AG--UCUCG-C-CUCCCGC-A +X52800.1/82-154 GGCCCCUU-A-GCUCAGU---GGUU--AGAGCA-G-GCGAC-UCAUAAUCGC-UUG------------------------GU--CGCU-GGU-UCA-AG--UCCAG-C-AGGGGCC-A +K00282.1/1-73 GGGUCGUU-A-GCUCAGUU--GGU---AGAGCA-G-UUGAC-UUUUAAUCAA-UUG------------------------GU--CGCA-GGU-UCG-AA--UCCUG-C-ACGACCC-A +X93579.1/201-272 UCCUCAGU-A-GCUCAGU---GGU---AGAGCG-G-UCGGC-UGUUAACCGA-UUG------------------------GU--CGUA-GGU-UCG-AA--UCCUA-C-UUGGGGA-G +CP000660.1/704452-704523 GGGCCGGU-A-GUCUAGC---GGA---AGGAUG-C-CCGCC-UCGCGCGCGG-GAG------------------------AU--CCCG-GGU-UCG-AA--UCCCG-G-CCGGUCC-A +X63776.1/648-721 CGGCACGU-A-GCGCAGCC-UGGU---AGCGCA-C-CGUCA-UGGGGUGUCG-GGG------------------------GU--CGGA-GGU-UCA-AA--UCCUC-U-CGUGCCG-A +DQ927305.1/46859-46925 GCUGCUUG-A-AUGGU-----------UUCAGU-G-UGGGC-UCAUUUCCCA-UUA------------------------CU--CAAA-AGU-UCG-AU--UCUUU-U-AAGCGGC-C +K01561.1/1-74 GCGUUCAU-A-GCUCAGUU--GGUU--AGAGCA-C-CACCU-UGACAUGGUG-GGG------------------------GU--CGUU-GGU-UCG-AG--UCCAA-U-UGAACGC-A +X17321.1/66-138 GGGUGAUU-A-GCUCAGCU--GGG---AGAGCA-C-CUCCC-UUACAAGGAG-GGG------------------------GU--CGGC-GGU-UCG-AU--CCCGU-C-AUCACCC-A +AY632242.1/10-80 CAUUAGAU-G-ACUGAA----AG----CAAGUA-C-UGGUC-UCUUAAACCA-UUU------------------------UA--UAGU-AAA-UUA-GC-AUUUAC-U-UCUAAUG-A +J01404.1/5140-5204 AUCUAUAU-A-GUAUAAA---------AGUAUA-U-UUGAC-UUCCAAUCAU-AAG------------------------G---UCUA-UU--AAU-U----AAUA-G-UAUAGAU-A +EU273712.1/5242-5176 AGCCUUAA-A-GUGUUU----------AUCAUG-U-CGAAU-UGCAAAUUCG-AAG------------------------G---UGUA-GAG-AAU-C-C-CUCUA-C-UAAGGCU-U +EU255777.1/1590-1519 UGGGGCGU-G-GCCAAGU---GGU---AAGGCA-A-CGGGU-UUUGGUCCCG-CUA------------------------UU--CGGA-GGU-UCG-AA--UCCUU-C-CGUCCCA-G +X13994.1/40-129 GAAGAUCG-U-CGUCUCC---GGUG--AGGCGG-C-UGGAC-UUCAAAUCCA-GU--UGG-GGCCGCCA--GCGGUCCCG----GGCA-GGU-UCG-AC--UCCUG-U-GAUCUUCC- +M21681.1/156-228 CGCGGGGU-G-GAGCAGCC-UGGU---AGCUCG-U-CGG-C-UCAUAACCCG-AAG------------------------GU--CGUC-GGU-UCA-AA--UCCGG-C-CCCCGCA-A +K00197.1/1-71 GCGGGCGU-A-GUUCAAU---GGU---AGAACG-A-GAGCU-UCCCAAGCUC-UAU------------------------A---CGAG-GGU-UCG-AU--UCCCU-U-CGCCCGC-U +X51770.1/245-317 GGCCGCGU-G-GCGCAAU---GGAU--AACGCG-U-CUGCC-UACGGAGCAG-AAG------------------------AU--UGCA-GGU-UCG-AA--UCCUG-C-CGUGGUC-G +K01856.1/1-82 GGAGAGAU-G-GCCGAGC---GGUCU-AAGGCG-C-UGGUU-UAAGGCACCA-GU--CCC-----UUC---G-----GGGG---CGUG-GGU-UCG-AA--UCCCA-C-UCUCUUC-A +Z83129.1/22044-21973 UCCUCGGU-A-GUAUAGU---GGUG--AGUAUC-C-GCGUC-UGUCACAUGC-GAG------------------------A---CCCG-GGU-UCA-AU--UCCCG-G-CCGGGGA-G +M25476.1/51-122 AGCAGCGU-G-GCGCAGU---GGA---AGCGUG-C-UGGGC-CCAUAACCCA-GAG------------------------GU--CGGU-GGA-UCG-AA--ACCAC-U-CGCUGCU-A +X54124.1/910-981 GACUGCUU-G-GCGCAAU---GGU---AGCGCG-U-UCGAC-UCCAGAUCGA-AAG------------------------GU--UGGG-CGU-UCG-AU--CCGCU-C-AGUGGUC-A +K01390.1/442-514 GAGCCAUU-A-GCUCAGUU--GGU---AGAGCA-U-CUGAC-UUUUAAUCAG-AGG------------------------GU--CGAA-GGU-UCG-AG--UCCUU-C-AUGGCUC-A +#=GC SS_cons (((((((,.,.<<<<___...___..._>>>>,.<.<<<<_.______>>>>.>,,........................,...,<<<.<<_.___.__.._>>>>.>.))))))).: +#=GC RF ggggaugU.A.GCuuAaU...GGU...AaaGCa.u.ugGaC.UuauAAuCca.aAg........................g...cgcg.GGU.UCg.Aa..UCCcg.c.caucccc.A +// diff --git a/raw_data/life/L017/0003-RF03608.stockholm b/raw_data/life/L017/0003-RF03608.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..3bd9ee201f3a1b52f08287f08f2d56721f95f690 --- /dev/null +++ b/raw_data/life/L017/0003-RF03608.stockholm @@ -0,0 +1,36 @@ +# STOCKHOLM 1.0 +#=GF ID mir-9440 +#=GF AC RF03608 +#=GF DE mir-9440 microRNA precursor family +#=GF AU Griffiths-Jones SR; 0000-0001-6043-807X +#=GF GA 80.0 +#=GF NC 79.9 +#=GF TC 80.2 +#=GF SE Griffiths-Jones SR +#=GF SS Predicted; RNAalifold +#=GF TP Gene; miRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF DR MIPF; MIPF0001915; +#=GF DR URL; http://www.mirbase.org; +#=GF DR SO; 0001244; pre_miRNA; +#=GF DR GO; 0016442; RISC complex; +#=GF DR GO; 0035195; miRNA-mediated post-transcriptional gene silencing; +#=GF RN [1] +#=GF RM 30423142 +#=GF RT miRBase: from microRNA sequences to function. +#=GF RA Kozomara A, Birgaoanu M, Griffiths-Jones S +#=GF RL Nucleic Acids Res. 2019;47:D155. +#=GF CC This family represents the microRNA (miRNA) precursor mir-9440 imported +#=GF CC from miRBase. +#=GF WK MicroRNA +#=GF SQ 4 + +URS0000D542BA_45351/1-67 -AUAAUCAACGAGAGUGUCAACCUGCCGCGAAGGUCUAUGAGUGGUCUGUUGCUCAUCUUUGUGUAGC +URS0000D50DDE_45351/1-66 --UAAUCAACGAGAGUGUCAACCUGCCGCGAAGGUCUAUGAGUGGUCUGUUGCUCCUCUUUGUUGAGC +URS0000D5165C_45351/1-68 CAUAAUCAACGAGAGUGUCAACCUGCCGCGAAGGUCUAUGAGUGGUCUGUUGCUUCUCUUUGUGGAGC +URS0000D5355C_45351/3-68 CAUAAUCAACGAGAGUGUCAACCUGCCGCGAAGGUCUAUGAGUGGUCUGUUGCUCCUCUUUAUGGA-- +#=GC SS_cons .::::<<<--<<<<<---<<<<--<<<<<--<______>-->>>>>-->>>>--->>>>>-->>>::: +#=GC RF .AUAAucAACgAGAGUGUCAACCUgCCgCGAAGGUCUAUGAGuGGuCUGUUGCUcCUCUuUGUggAGC +// diff --git a/raw_data/life/L017/0004-RF02915.stockholm b/raw_data/life/L017/0004-RF02915.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..60c52b9c48b7dd2a8e3cacdf2b51dc6c1e017b26 --- /dev/null +++ b/raw_data/life/L017/0004-RF02915.stockholm @@ -0,0 +1,117 @@ +# STOCKHOLM 1.0 +#=GF ID DUF3800-VI +#=GF AC RF02915 +#=GF DE DUF3800-VI RNA +#=GF AU Weinberg Z; 0000-0002-6681-3624 +#=GF GA 35.0 +#=GF NC 34.9 +#=GF TC 35.6 +#=GF SE Weinberg Z +#=GF SS Published; PMID:28977401; +#=GF TP Cis-reg; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 25.79 -Z 2958934 CM SEQDB +#=GF DR SO; 0005836; regulatory_region; +#=GF RN [1] +#=GF RM 28977401 +#=GF RT Detection of 224 candidate structured RNAs by comparative analysis of +#=GF RT specific subsets of intergenic regions. +#=GF RA Weinberg Z, Lunse CE, Corbino KA, Ames TD, Nelson JW, Roth A, Perkins KR, +#=GF RA Sherlock ME, Breaker RR +#=GF RL Nucleic Acids Res. 2017;45:10811-10823. +#=GF CC Actinobacteria, Planctomycetes, Proteobacteria, Spirochaetes. Nearby to +#=GF CC DUF3800 +#=GF WK DUF3800_RNA_motifs +#=GF SQ 87 + +URS0000D6ADF0_12908/1-52 CGAC-UAGAAGGGCUGC-ACAA-----GUGGCUCGUUAGGG--UUUAA-----CCCUGUCUG-GUUG +URS0000D699E3_12908/1-51 UCGC-CGGGAGUGC----GUCAUUUA----GCACGCUGGGGC-UACG-----GCCUCACCCG-GCGU +URS0000D66B14_12908/1-51 UCGC-CGGGAGUGCGU--CACA------GUGCACGGCGGGGC-UUCG-----GCCCCGCCCG-GCGU +URS0000D6B946_12908/1-51 UCGC-CGGGAGUGCG---UCACAC-----UGCACGCUGGGAC-UGAG-----GUCCCACCCG-GCGU +URS0000D6D3AA_12908/1-55 UGGU-UGAGAGGAUCGC-CCUCU----GCGGUCCGCCAAGG--CAUUCGU---CCUUGCUCG-GCCA +URS0000D65F02_12908/1-52 CGAU-CAGGAGGGUUGC-AUUU-----GCGAUCCGUUAUGAA-GCA------UUCAUACCUG-GUUG +URS0000D6D0FD_12908/1-49 -GGCCUGGGAGAUCC---UCUUU------GGAUCGUCGGAG--UUAA------CUCCGCCCGGGCCU +URS0000D68C73_12908/1-56 CAGU-UGAGAGGCCUGC-CUUUUAU--GCGGGUCGCGAGAA--CAUAGU----UUCUCCUUG-ACUG +URS0000D6AB1D_316056/1-53 UGGU-CGGGAGGUCCGC-CGUC-----GUGGACCGUUGGAAU-CUUU-----AUUCCACCCG-GCCG +URS0000D69FD7_12908/1-47 UGGC-UGAGAGGGUAU--CUCG------AGGUUCGCUGGA---UUUU-------UCCACUCG-GCUG +URS0000D67AB8_12908/1-54 -GAGUCGGGAGCGCUGU-CGAUU----ACGGUGCGUUGG-GC-GAUU-----GUUCCACCCGGCUUA +URS0000D6D2E7_12908/1-51 --GU-UGGGAGCGCUGU-CGAUC----ACGGUGCGUUGG-AC-GAUU-----GUUCCACCUG-GCUC +URS0000D673C5_565443/1-52 -GGC-CAGGAGUGCUGU-CGAUC----ACGGUGCGUUGG-AC-GAUU-----GUUCCACUUG-GCCU +URS0000D6C406_12908/1-51 -CAGUUGGGAGAGCCG--CAGUUU----UGGUUCGUUGGA---AUUAU------UCCACCCGGCUGC +URS0000D66180_12908/1-53 -CAGUUGGGAGGUCCGC-CGUA-----GCGGAUCGCAGGGG--UUUGU-----CCCCACCCGGCUGC +URS0000D6C375_12908/1-55 -CGGUUGGGAGGUCCGC-CGAU-----GUGGACCGCUGGGGU-CUCGU----ACCCCGCCCGGCCGC +URS0000D6A5CE_1187851/1-55 GCGGUUGGGAGGUCCGC-CGAU-----GCGGACCGUCGGGGU-CGUU-----ACCUCGCCCGGCCGC +URS0000D66F43_12908/1-54 -CGGUUGGGAGAGCUGC-AUGAUU---GCGGUUCGUCGGGG--UCAU------CCCCGCCCGGCCGC +URS0000D6B42A_12908/1-49 CAGU-UGGGAGAGCCG--CAGAG-----CGGUUCGCCGGA---CAAUG------UCCGCCUG-GCUG +URS0000D65F74_12908/1-57 CGGU-CGAGAGGGCUGUGAUAUU---UACCGUCCGCUGUGGA-CAGGU----UCCACACUCG-GCUG +URS0000D6616C_12908/1-52 UGGU-UGGGAGGGCCGC-AGGU-----GCGGUUCGUUGAAG--UUAUG-----CUUCACCUG-GCCU +URS0000D695EF_12908/1-54 --GU-UGGGAGAGCUGC-AUUAUA---GCGGUUCGUUGGGG--UUUCAAU---CCCCACUUG-GCAC +URS0000D6616B_12908/1-55 -GGU-UGGGAGAGCUA--UAUUGU----UGGUUCGUUGGAUGAUUUGA---UCAUCCACCCG-GCUG +URS0000D6BA4E_12908/1-55 AGGU-CAGGAAGGCUGC-AUUAA----GCGGUCUGCUGGGGA-GUAAA----UGCCCACCUG-GCUA +URS0000D67641_12908/1-53 GGGU-CAGGAGGGCUAC-AUUA-----GUGGUCCGCUGGG---GCUCCUUA---CCCACCUG-GCUA +URS0000D68067_12908/1-54 CGGU-UGGGAGAGCUGC-GGUUGC---GCGGCUCGUUAGAG--UAAGU-----CUCUACCCG-GCUG +URS0000D6B266_12908/1-51 CGGU-CGGGAGAGCUGC-AUGA-----GCGGUUCACUGGAC--AGAG------GGCCACUCG-GCUG +URS0000D68C83_12908/1-47 --GU-UGAGAGAGCCG--CCUUUUUU--CGGUUCGUUGG----GAAA--------CCACUCG-GCUG +URS0000D68B60_12908/1-53 CGGU-UGAGAGGGCC---CGUUGUGC---GGUCCGUUGGGGU-UGAA-----ACCUCACUCA-GCUG +URS0000D676C7_12908/1-53 UGGU-CGGGAGAGCCGC-AUACA----GCGGUUCGCUGGAG--AUAAC-----CUCCACCCG-GCUU +URS0000D68C5F_262489/1-54 UGGU-CGCGAGGGCUGU-AUUCG----GCGGUCCGCUGGGG--AUAAAA----CCUCACCCG-GCUA +URS0000D6BA05_12908/1-52 CAGU-UGAGAGAGCCGU-AUCAG----ACGGUUCGCUAGGC--AUAA------GCCUACUCG-GCUG +URS0000D6A8C5_12908/1-52 CAGU-UGAGAGGGCCGC-AUUAG----GCGGUUCGCUAGGC--AGCA------GCCUACUCG-GCUG +URS0000D6C5C8_12908/1-52 CAGU-UGAGAGGGCCGC-AUCAG----GCGGUUCGCCAGGC--ACAA------GCCUACUCG-GCUG +URS0000D691CC_12908/1-52 CAGU-UGAGAGGGCCGC-AUCAG----GCGGUUCGCUAGGC--AUAA------GCCUACUCG-GCUG +URS0000D688E5_12908/1-52 CAGU-UGAGAGAGCCG--CAUCAGA---CGGUUCGCUAGGC--AUAA------GCCUACUUG-GCUG +URS0000D6938C_12908/1-52 CAGU-UGGGAGGGCCG--CAUCAGA---CGGUUCGCUAGGC--AUAA------GCCUACUCG-GCUG +URS0000D6A059_12908/1-52 CAGU-UGAGAGGGCCG--CAUCAGA---CGGUUCGCUAGGC--AUAA------GUCUACUCG-GCUG +URS0000D6B3EC_12908/1-52 CAGU-UGAGAGGGCCG--CAUCAGA---CGGUUCGCUAGGC--AUAA------GCCUACUCG-GCUG +URS0000D66824_12908/1-52 CAGU-UGAGAGGGCCG--CAUCAGA---CGGUUCGCUAGGC--AUAA------GCCUACUCU-GCUG +URS0000D65A58_12908/1-52 CAGU-UGAGAGGGCCG--CAUCAGA---CGGCUCGCUAGGC--AUAA------GCCUACUCG-GCUG +URS0000D678C5_12908/1-52 CAGU-UGAGAGGGCCG--CAUUAGA---CGGUUCGCCAGGC--AUAA------GCCUACUCG-GCUG +URS0000D663F4_12908/1-52 CAGU-UGAGAGGGCCG--CAUCAGA---CGGUUCGCCAGGC--AUAA------GCCUACUCG-GCUG +URS0000D6796A_12908/1-52 CAGU-UGAGAGGGCCG--CAUCAGA---CGGUUCGCCAGGC--AUAA------GCCAACUCG-GCUG +URS0000D6C24F_12908/1-53 GAGU-UGGGAAAGCUGC-AUUUG----GCGGUCCGUUGGGG--UCAAU-----CCCCACCCG-GCUA +URS0000D66EF9_12908/1-51 -GGU-UGGGAGGGCUG--CAUUGU----CGGUCCGCUGGGA--AAAAU-----UCCCACCUG-GCUA +URS0000D6A561_12908/1-54 CGGU-UGGGAGGGCUGC-GGCUC----GCGGUCCACUGAGGU-CAAC-----ACCUCACCCG-GCUG +URS0000D6965C_12908/1-55 -GGU-UGAGAGGGCUGC-GUUAUC---GCGGUUCGCUGGGAC-GGUCA----GUCCCACUCA-GCUG +URS0000D6AD6E_999437/1-52 -GGGUCAAGAGUGCUGC-CUUUAA---GUGGUGCGUCGAG---UUUU-------CUCGCUUGGCCCU +URS0000D66317_12908/1-51 GGGU-CAAGAGUGCUCC-CUUUAA---GUGGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D6AEA5_12908/1-51 GGGU-CAAGAGUGCUGC-CUUUAA---GUGGUGCGUCGAG---GUUU-------CUCGCUUG-GCUC +URS0000D683D1_12908/1-51 GAGU-CAAGAGUGCUGC-CUUUAU---GCGGUGCGUCGAG---GUUU-------CUCGCUUG-GCUC +URS0000D6B2A3_12908/1-51 GAGU-CAAGAGUGCUGC-CUUUAA---GCGGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D65F16_12908/1-51 AGGU-CAAGAGUGCUGC-CUUUAA---GCGGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D65C06_12908/1-51 GGGU-CAAGAGUGCUGC-CUUUAA---GCAGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D671AF_12908/1-51 GGGU-CAAGAGUGCUGC-CUUUAA---GCGGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D671AF_1125725/1-51 GGGU-CAAGAGUGCUGC-CUUUAA---GCGGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D65ECD_12908/1-51 GGGG-CAAGAGUGCGGC-CUUUAA---GCGGUGCGUCGAG---UUUU-------CUCGCUUG-GCUC +URS0000D671AD_12908/1-51 GGGU-CAAGAGUGCUGC-CUUUAU---GCGGUGCGUCGAG---UUAU-------CUCGCUUG-GCUC +URS0000D65D86_12908/1-53 GGGU-UGGGAGUGCUGC-CUUUAU---GCGGUGCGUCGGGC--UUUU------GCCCGCCCG-GCUC +URS0000D6C815_12908/1-54 GGGU-UGGGAGUGCUGC-CUUUAU---GCGGUGCGUCGGGC--UUUAU-----GCCCGCCUG-GCUC +URS0000D6A8DB_12908/1-53 GGGU-UGGGAGCGCUGC-CUUUAU---GCGGUGCGUCGGGU--UUUA------ACCCGCCCG-GCUC +URS0000D6CE50_12908/1-54 GGGU-UAGGAGUACUGC-CUUUAU---GCGGUGCGUUGGGC--UUUAU-----GCCCACCUG-ACUC +URS0000D6ADAC_1123508/1-49 -GGU-UGGGAGGGCU---GCAUGC---GCGGUCCGCUGGC---GAUAA------GCCGCCCG-GCUG +URS0000D6AFD9_12908/1-49 CGGU-UGGGAGGGCU---GCAUUUGC---GGUCCGUUGGC---GCAA-------GCCACCCG-GCUG +URS0000D69042_12908/1-55 CAGU-CGGGAGGGCUGC-AUAUCU---GCGGUCCGUCGGGC--AAGAUA----GCCCGCUCG-GCUG +URS0000D6999C_12908/1-54 AGGU-CGAGAGUGCUGC-CUAUAA---GCGGUGCGCAGAAC--GAAUG-----GUUCUCUCG-GCUC +URS0000D669D1_12908/1-51 CGGU-UGGGAGGGCUGC-CAUU-----GCAGUUCGCCGGAC--UUCG------GUCCGCCCG-GCUG +URS0000D6B88A_12908/1-51 CGGU-UGGGAGGGCUGC-CAUU-----GCAGUUCGCCGGAC--UUCG------GUUCGCCCG-GCUG +URS0000D6A56B_12908/1-51 CGGU-UGGGAGGGCUGC-CAAC-----GCGGUCCACCGGAC--GCGA------GUCCGCCCG-GCUG +URS0000D68872_12908/1-51 CGGU-UGAGAGGGCUGC-UUUG-----GCGGUCCGCCGGAU--GAAA------AUCCGCUCG-GCUG +URS0000D6CF67_12908/1-50 CGGU-UGAGAGGGCU---GCAUUGC----GGUCCGUUGAAC--GAAA------GUUCACUCG-GCUG +URS0000D6BDD4_12908/1-51 CAGU-UGAGAGGGCUGU-ACGU-----ACGGUCCGCUGAGC--GCAA------GCUCACUCG-GCUG +URS0000D66AFD_12908/1-51 CGGU-UGAGAGGGCUGC-AUGU-----GCGGUCCGCUGAAC--GAAA------GUUCACUCG-GCUG +URS0000D65C79_12908/1-50 CGGU-UGGGAGGGCUGC-AUU------GCGGUCCGCUGAAC--GAAA------GUUCGCCCG-GCUG +URS0000D6A697_12908/1-54 CGGU-UGGGAGAGCUGC-GAAAUC---GCGGUUCGUUGGGU--UAAUA-----GCCCACCCG-GCUG +URS0000D6A013_12908/1-54 CGGU-UGGGAGGGCUGC-AAGUCU---GCGGUCCGUUGAGU--GUCUA-----ACUCACCCG-GCUG +URS0000D677F7_12908/1-51 CGGU-UGAGAGGGCUGC-CAAU-----GCGGUCCGCUGGGU--GAAU------ACCCACUCG-GCUG +URS0000D68391_12908/1-57 CGGU-UGGGAGGGCUGCGUUUG----CGCGGUUCGUUGAGACCCGAG----GGUCUCACUCG-GCUG +URS0000D6783B_12908/1-56 CGGU-UGGGAGGGCUGCGGUUU----CGCGGUCCGUUGGGGC-UCUAA----GCCUCACUCA-GCUG +URS0000D687F8_12908/1-49 CGGU-UGGGAGGGCUG--CUUCGG----CGGUCCGUUGGG---UUCG-------CCCACCCG-GCUG +URS0000D6A31F_12908/1-49 CGGU-UGGGAGGGCUGC-UUCG-----GCGGUCCGUUGGG---UUCA-------CCCACUCG-GCUG +URS0000D69264_12908/1-51 -GGU-CGGGAGCGCUGC-CUUU-----GUAGUGCGUUGAACA-UUUG-----UG-UCACCUG-GCUC +URS0000D6818A_12908/1-54 CGGU-UAAGAGGGCUGC-CAUUC----GCGGUCCGCGGAGG--UUUACU----CCUCCCUUA-UCCG +URS0000D69BCB_12908/1-52 CGAU-UGAGAGGGCUGC-AAUU-----GUGGUCCGUUGCAAC-UAU------GUUGCGCUUG-GUCG +URS0000D68730_12908/1-53 CGGC-UGAGAGGGCGAC-AUUCA----GUCGCUCGUUUGGGA-CCU------UCCCAACUCG-GCCU +URS0000D6A6DF_12908/1-55 UGGC-UGAGAGGGCGA--CAUUUGGU--UCGCUCGUUUGGG--GUUACA----CCCAUCUCG-GCCU +#=GC SS_cons ((((.((((,<<<<<<<._____....>>>>>>>,,<<<<<..____......>>>>>)))).)))) +#=GC RF cGGU.UGgGAGgGCuGC.cuUUa....GCgGUcCGuuGGGg..uuua......cCCCaCcCG.GCUg +// diff --git a/raw_data/life/L017/0005-RF02928.stockholm b/raw_data/life/L017/0005-RF02928.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..450f0a6dc3119f7f73ec5b9cdea96735a6f247c9 --- /dev/null +++ b/raw_data/life/L017/0005-RF02928.stockholm @@ -0,0 +1,265 @@ +# STOCKHOLM 1.0 +#=GF ID Actinomyces-1 +#=GF AC RF02928 +#=GF DE Actinomyces-1 RNA +#=GF AU Weinberg Z; 0000-0002-6681-3624 +#=GF GA 39.1 +#=GF NC 38.6 +#=GF TC 56.2 +#=GF SE Weinberg Z +#=GF SS Published; PMID:28977401; +#=GF TP Gene; sRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.02 -Z 2958934 CM SEQDB +#=GF DR SO; 0000370; small_regulatory_ncRNA; +#=GF RN [1] +#=GF RM 28977401 +#=GF RT Detection of 224 candidate structured RNAs by comparative analysis of +#=GF RT specific subsets of intergenic regions. +#=GF RA Weinberg Z, Lunse CE, Corbino KA, Ames TD, Nelson JW, Roth A, Perkins KR, +#=GF RA Sherlock ME, Breaker RR +#=GF RL Nucleic Acids Res. 2017;45:10811-10823. +#=GF CC Actinomyces. Lineage (Actinomycetales) +#=GF WK Actinomyces-1_RNA_motif +#=GF SQ 236 + +URS0000D6BE00_12908/1-111 UGUGCCGCCGGACGGU-GGCGACCGCGAGACGUU--GGGG------AGCGUC--GGUGACCGGCCG-CCUCCGGAAUGCC-GG-ACCGCAG-CCCAGGGACUGCG--ACCGUGC-GCU-CGGCGAAGGAG +URS0000D68E3C_12908/1-110 UGUGCCGCCGGACGGU-GGGUGCCGAGAGACGUU--GGGG------AGCGUC--AGUGACCGUCAC-C-CGCUGGAAGCC-GG-GACGCGG-ACCAGGGACCGCG--ACCGAGC-GCU-CGGCGAGGGAG +URS0000D6A108_12908/1-110 GUUACCACUGAGCGGU-GGCUGUCGUGAGGUACU--GGGG------AGUACU--GCUGACCGGCGGG--UAUCGA-GUCU-GG-GCUACAG-CCAAGGGAAUG--G-GCCUGGACGUUUCAGUGAAGGAG +URS0000D6CFB7_12908/1-110 GUUACCACUGAGCGGU-GGCUGUCGUGAGGUACU--GGGG------AGUACU--GCUGACCGGCGGG--UACCGA-GUCU-GG-GCUACAG-CCAAGGGAAUG--G-GCCUGGACGUUUCAGUGAAGGAG +URS0000D6CBD8_12908/1-110 GUUACCACUGAACGGU-GGCUGUCGUGAGGUACU--GGGG------AGUACU--GCUGACCGGCGGG--UACCGA-GUCU-GG-GCUACAG-CCAAGGGAAUG--G-GCCUGGACGUUUCGGUGAAGGAG +URS0000D6894D_12908/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--GCUGACCGGUGG-C-CGCCGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCAGUGAAGGAG +URS0000D6894D_1115803/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--GCUGACCGGUGG-C-CGCCGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCAGUGAAGGAG +URS0000D6BE5C_12908/1-110 GUCACCGCUGAACGAU-GGCGACCGCGAGGUACU--GGGG------AGUACC--GCUGACCGGUGG-C-CGCCGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCAGUGAAGGAG +URS0000D678F2_12908/1-110 GUCACCGCUGAACGAU-GGCGACCGCGAGGUACU--GGGG------AGUACC--GCUGACCGGUCA-C-CACCGA-GUCC-GG-ACCACAG-CCAAGGGAAUGUG--UUCG-GGCGUUUCAGUGAAGGAG +URS0000D678F2_762963/1-110 GUCACCGCUGAACGAU-GGCGACCGCGAGGUACU--GGGG------AGUACC--GCUGACCGGUCA-C-CACCGA-GUCC-GG-ACCACAG-CCAAGGGAAUGUG--UUCG-GGCGUUUCAGUGAAGGAG +URS0000D67077_12908/1-110 GUUACCGCCGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCGGUGAAGGAG +URS0000D67077_706439/1-110 GUUACCGCCGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCGGUGAAGGAG +URS0000D66F33_12908/1-110 GUCACCGCUGAACGGU-GGCGGCCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCAGUGAAGGAG +URS0000D6A329_12908/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCU-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCGGUGAAGGAG +URS0000D670F4_12908/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACCGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCGGUGAAGGAG +URS0000D6A7A7_12908/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCGGUGAAGGAG +URS0000D6A7A7_944560/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCGGUGAAGGAG +URS0000D6A7A7_562973/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCA-C-CACUGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCGGUGAAGGAG +URS0000D6D053_871541/1-110 GUCACCGCUGAACGGU-GGCGACCGUGAGGUACU--GGGG------AGUACC--ACUGACCGGCCU-C-CACUGA-GUCC-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GGCGUUUCGGUGAAGGAG +URS0000D6B681_12908/1-110 GUCACCACUGAACGGU-GGCGACCGCGAGGUACU--GGGG------AGUACU--GCAGACCGGCCA-C-CAUCGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCGGUGAAGGAG +URS0000D689DC_653386/1-110 GUCACCACUGAACGGU-GGCGACCGCGAGGUACU--GGGG------AGUACU--GCAGACCGGCCA-C-UAUCGA-GUCU-GG-GCCACAG-CCAAGGGAAUGUG--CUCG-GACGUUUCGGUGAAGGAG +URS0000D69F94_12908/1-112 GCCGCCGCCGGACGGU-GAGGGCCACGAGGUGCU--GGGG------AGCGCC--GAUGAGGGGCCGG--AGCCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GGCG-CCCGGCGAAGGAG +URS0000D689EC_12908/1-112 GCCGCCGCCGGACGGU-GAGGGCCACGAGGUGCU--GGGG------AGCGCC--GAUGAGGGGUCGG--AGCCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GGCG-CCCGGCGAAGGAG +URS0000D6A287_12908/1-112 GCCGCCGCCGGACGGU-GAGGGCCACGAGGUGCU--GGGG------AGCGCC--GAUGAGGGGCCGG--AGUCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GGCG-CCCGGCGAAGGAG +URS0000D6979D_12908/1-112 GCCGCCGCUGGACGGU-GAGGGCCACGAGGUGCU--GGGG------AGCGCC--GAUGAGGGGCCGG--AGUCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GACG-CCCGGCGAAGGAG +URS0000D6C965_12908/1-112 GCCGCCGCCGGACGGU-GAGGGCCACGAGGUGCU--GGGG------AGCGCC--GAUGAGGGGCCGG--AGUCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GACG-CCCGGCGAAGGAG +URS0000D66E5B_12908/1-112 GCCGCCGUCGGACGGU-GAGGGCCACGAGGUGCU--GGGG------AGCGCU--GAUGAGGGGCCGG--AGCCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GACG-CCCGGCGAAGGAG +URS0000D69FBC_12908/1-112 GCCGCCGUCGGACGGC-GAGGGCCACGAGGUGCU--GGGG------AGCGCU--GAUGAGGGGCCGG--AGCCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GCCG-GACG-CCCGGCGAAGGAG +URS0000D6B9F9_12908/1-112 GCCGCCGUCGGACGGC-GAGGGCCACGAGGUGCU--GGGG------AGCGCU--GAUGAGGGGCCGG--AGCCGA-GUCCAGG-CCCGUAAGGCAAGGGAAUUCGG-GUCG-GACG-CCCGGCGAAGGAG +URS0000D6A629_12908/1-109 NCUACCGCCAGAGGUU-AGCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGGCCGA--GAGCUA-GUUGGA--CUGAGGU-UUAAGGGAGCCUACA-GUG-AACGUUCUGGCGAAGGAG +URS0000D6A348_12908/1-109 ACUACCGCCAGAGGUU-AGCGGUCGCGAAG-GUU--GGGG------AGC-CU--GAUGACCGGCCGA--GAGCUA-GUUGGA--CUGAGGU-UUAAGGGAGCCUACA-GUG-AACGUUCUGGCGAAGGAG +URS0000D68C27_12908/1-109 ACUACCGCCAGAGGUU-AGCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUAACCGGCCGA--GAGCUA-GUUG-GA-CUGAGGU-UUAAGGGAGCCUACAGUG--AACGUUCUGGCGAAGGAG +URS0000D6C26B_12908/1-109 ACUACCGCCAGAGGUU-AGCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGGCCGA--GAGCUA-GUUG-GA-CUGAGGU-UUAAGGGAGCCUACAGUG--AACGUUCUGGCGAAGGAG +URS0000D6C26B_435830/1-109 ACUACCGCCAGAGGUU-AGCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGGCCGA--GAGCUA-GUUG-GA-CUGAGGU-UUAAGGGAGCCUACAGUG--AACGUUCUGGCGAAGGAG +URS0000D6B553_12908/1-109 AUCGCCGCUGGACGGA-ACGGGUCGCGAGG-GAC--GGGC------UUC-CC--CGCUGGUGAUCU-G--GCCGA-GAGC-CA-CCAGGGU-UGCAGGGACCCCUG-AUGGGCUCGCUCCGGCGAGGGAG +URS0000D6B6A6_12908/1-109 AUCGCCGCUGGACGGA-ACGGGUCGCGAGG-GAC--GGGC------UUC-CC--CGCUGGUGAUCC-G--GCCGA-GAGC-CA-CCAGGGU-UGCAGGGACCCCUG-AUGGACUCGCUCCGGCGAGGGAG +URS0000D671CA_12908/1-109 AUCGCCGCUGGACGGA-ACGGGUCGCGAGG-GA--CGGGCU------UC-CC--CGCUGGUGAUCC-G-G-CCGA-GAGC-CA-CCAGGGU-UGCAGGGACCCCUG-AUGGGCUCGCUCCGGCGAGGGAG +URS0000D66063_12908/1-109 AUCGCCGCUGGACGGA-ACGGGUCGCGAGG-GA--CGGGCU------UC-CC--CGCGGGUGAUCC-G-G-CCGA-GAGC-CA-CCAGGGU-UGCAGGGACCCCUG-AUGGACUCGCUCCGGCGAGGGAG +URS0000D6B7C0_12908/1-108 ACUGCCGUCGGACGGU-ACGGGCCGCAUAG-GGA--CGAC------UCC-CU--AGCGACUGGCCC-G--GCCGA-GAUG-CG-UCGGGGU-CGCAGGGAGCCCCGA-CAA-CUCGCUCCGGCGAAGGAG +URS0000D68160_12908/1-107 AUCGCCGCCGGACGGC-GCGGGCCGCUAAGGGA---CGAU-------UCCCU---GUGACUGGCCC-G--GCCGA-GAAG-CG-ACGGGGU-CGCAGGGAGCCCCG-GCAA-UUCGCUCCGGCGAAGGAG +URS0000D6C536_12908/1-109 AUUGCCGCCGGACGGG-AGCGGUCCUGAGG-GUU--GGGG------AGC-CC--GAUGACGGAUCG-U-GACUGA-GAGCCGG-UUCGGGU-UCACGGGAGCCCGG-GCC--CUCGCUCCGGUGAAGAAG +URS0000D66046_12908/1-109 AUUGCCGCCGGACGGG-AGCGGUCCUGAGG-GUU--GGGG------AGC-CC--GAUGACGGAUCG-UGA-CUGA-GAGCUGG-UUCGGGU-UCACGGGAGCCCGG-GCC--CUCGCUCCGGCGAAGAAG +URS0000D65B28_12908/1-109 AUUGCCGCCGGACGGG-AGCGGUCCUGAGG-GUU--GGGG------AGC-CC--GAUGACGGAUCG-UGA-CUGA-GAGCCGG-UUCGGGU-UCACGGGAGCCCGG-GCC--CUCGCUCCGGCGAAGGAG +URS0000D6B699_12908/1-109 AUUGCCGCCGGACGGG-AGCGGUCUUGAGG-GUU--GGGG------AGC-CC--GAUGACGGAUCG-UGA-CUGA-GAGCCGG-UUCGGGU-UCACGGGAGCCCGG-GCC--CUCGCUCCGGCGAAGAAG +URS0000D69CEC_12908/1-109 AUUGCCGCCGGACGGG-AGCGGUCCUGAGG-GUU--GGGG------AGC-CC--GAUGACGGAUCG-UGA-CUGA-GAGCCGG-UUCGGGU-UCACGGGAGCCCGG-GCC--CUCGCUCCGGCGAAGAAG +URS0000D682E0_12908/1-109 CUCGCCGCUGGACGGA-AGCGGUCCCGAGG-GUU--GGGG------AGC-CC--GAUGACGGACCGCCGA--CGA-GAGCCG-GCUCGGGU-CUAAGGGAGCCCGGGU-C--CUCGCUCCGGCGAAGAAG +URS0000D69513_12908/1-109 AUUGCCGUCGGACGGG-GCGGGUCCUGAGG-GUU--GGGG------AAC-CC--GGUGAGGGAUUC-GCG-UCGA-GCGC-UG-CUGGGGU-CCAAGGGAGCCCUG-GUGG-UGCGUUCCGGCGAAGGAG +URS0000D6D135_12908/1-109 GUCGCCGUCGGACGGG-GCGGGUCCUGAGG-GUU--GGGG------AAC-CC--GGUGAGGGAUUC-GCG-UCGA-GCGC-UG-CUGGGGU-CCAAGGGAGCCCUG-GUGG-UGCGUUCCGGCGAAGGAG +URS0000D6C20F_12908/1-109 GUCGCCGUCGGACGGG-GCGGGUCCUGAGG-GUU--GGGG------AAC-CC--GGUGAAGGAUUC-GCG-UCGA-GCGC-UG-CUGGGGU-CCAAGGGAGCCCUG-GUGG-UGCGUUCCGGCGAAGGAG +URS0000D68E93_12908/1-106 ---GCCGUCGGACGGG-GCGGGUCCUGAGG-GUU--GGGG------AAC-CC--GGUGAAGGAUUC-G-UGUCGA-GCGCU-G-CUGGGGU-CCAAGGGAGCCCUG-GU-GGUGCGUUCCGGCGAAGGAG +URS0000D6AA70_12908/1-109 GGUGCCGUCGGACGGA-GCGGGUCAUGAGG-GUU--GGGG------AAC-CC--GAUGAGGGGCUC-GUCUUCGA-GGUC-UG--CGGGGU-CUUAGGGAGCCCUGG-CAG-GCCGUUCCGGCGAAGGGG +URS0000D669F6_12908/1-109 GGUGCCGUCGGACGGA-GCGGGUCAUGAGG-GUU--GGGG------AAC-CC--GAUGAGGGGCUC-GUCUUCGA-GGUC-UG--CGGGGU-CUUAGGGAGCCCUG-GCAG-GCUGUUCCGGCGAAGGGG +URS0000D683F7_12908/1-110 GCUGCCGCCGGACGGG-GCGGGUCAUGAGG-GUU--GGGG------AAC-CC--GGUGAGGGGCCU-GCUUGCGA-GAGC-CG-CCAGGGU-CUAAGGGAGCCCUG-GUGG-GUCGUUUCGGCGAAGGGG +URS0000D6C6B9_12908/1-109 GGUGCCGCCGGGCGGU-GCGGGUCUUGAGG-GUU--GGGG------AAC-CC--GGUGACGGGCCU-G-UGCCGA-GGUC-UG-UCGGGGU-CCAAGGGAGCCCUG-GCGG-GUCGUUUCGGCGAAGGGG +URS0000D69236_12908/1-110 GUUGCCGCCGGACGGG-AUGGGUCAUGAGG-GUU--GGGG------AAC-CU--GUUGAGGGGCUU-GUUUCCGA-GAGG-UG-CUUGGGU-CCAAGGGAGCCCGG-GUGG-UUCGUUUCGGCGAAGGAG +URS0000D6893C_12908/1-110 GUUGCCGCCGGACGGG-AUGGGUCAUGAGG-GUU--GGGG------AAC-CU--GUUGAUGGGCUU-GUUUCCGA-GAGG-UG-CUUGGGU-CCAAGGGAGCCCGG-GUGG-UUCGUUUCGGCGAAGGAG +URS0000D6BDB3_12908/1-110 UGUGCCGCCGGACGGG-AUGGGUCAUGAGG-GUU--GGGG------AAC-CU--GUUGAUGGGCUU-GUUUCCGA-GAGG-UG-CUUGGGU-CCAAGGGAGCCCGG-GUGG-UUCGUUUCGGCGAAGGAG +URS0000D6662E_12908/1-110 UUUGCCGCCGGACGGG-AUGGGUCAUGAGG-GUU--GGGG------AAC-CU--GUUGAUGGGCUU-GUUUCCGA-GAGG-UG-CUUGGGU-CCAAGGGAGCCCGG-GUGG-UUCGUUUCGGCGAAGGAG +URS0000D6BFBB_12908/1-109 GCCACCGCCGAACGAU-GCGCGACGCGAGG-GUU--GGGG------AAC-CC--GGUGACCCGAGC-G-CAUCGA-GACU-GG-CAAGGGU-CCUAGGGAGCCC-GCGUCG-GUCGUUUCGACGAAGGAG +URS0000D6AC55_12908/1-110 CUCACCGCCGGGCGGG-GGACGCCACCAGG-GUU--GGGG------AGC-CC--GAUGACCGGCCUAU-CUCCGA-GGCG-GC-CAUGGGU-ACAAGGGAGCCCGC-GGCC-GUCGUCCCGGCGAAGGAG +URS0000D6AD3B_12908/1-110 CUCACCGCCGGGCGGGGAU--GCCGCCAGG-GUU--GGGG------AGC-CC--GAUGACCGGUCCCAUCUCCGA-GGCG-GC-CAUGGGU-ACAAGGGAGCCCGC-GGCC-GUCGUCCCGGCGAAGGAG +URS0000D679CC_12908/1-111 CUCACCGCCGGGCGGG-GGACGCCGACAGG-GUU--GGGG------AGC-CC--GAUGACCGGUCCCAUCUCCGA-GGCG-GC-CACGGGU-CCAAGGGAGUCCGC-GGCC-GCCGUCCCGGCGAAGGAG +URS0000D6A336_12908/1-111 CUCACCGCCGGGCGGG-GGACGCCGCCAGG-GUU--GGGG------AGC-CC--GAUGACCGGUCUCAUCUCCGA-GGCG-GC-CACGGGU-CCAAGGGAGCCCGC-GGUC-GCCGUCCCGGCGAAGGAG +URS0000D65959_12908/1-111 CUCACCGCCGGGCGGG-GGACGCCGCCAGG-GUU--GGGG------AGC-CC--GAUGACCGGUCCCAUCUCCGA-GGCG-GC-CACGGGU-CCAAGGGAGCCCGC-GGCC-GCCGUCCCGGCGAAGGAG +URS0000D68A87_12908/1-111 CUCACCGCCGGGCGGG-GGACGCCGCCAGG-GUU--GGGG------AGC-CC--GAUGACCGGUCCCAUCUCCGA-GGCG-GC-CACGGGU-CCAAGGGAGCCCGC-GGUC-GCCGUCCCGGCGAAGGAG +URS0000D68846_12908/1-111 AGCACCGUUGGACAGG-AUCGGUCCCGAGG-GUU--GGGG------AGC-CC--GUUGAAAGAUCGCAUCUCUGA-GAUG-GC-GCUGGGU-CAUAGGGAGCCUAGA-ACC-GUCGUUCCGGCGAAGGAG +URS0000D6C9D9_12908/1-111 AGCACCGUUGGACAGG-AUCGGUCCCGAGG-GUU--GGGG------AGC-CC--GUUGAAAGACCGCAUCUCUGA-GAUG-GC-GCUGGGU-CAUAGGGAGCCUAGA-ACC-GUCGUUCCGGCGAAGGAG +URS0000D6BC1B_12908/1-111 UCAACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GACGACGGACUGCAUCUCUGA-GAUG-AC-ACCGGGU-CAUAGGGAGCCUGG-CGUG-AUCGUUUCGGCGAAGGAG +URS0000D6C162_12908/1-111 UCAACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GACGACGGACUGCAUCUCUGA-GAUG-AC-ACCGGGU-CAUAGGGAGCCUGG-UGUG-AUCGUUUCGGCGAAGGAG +URS0000D69753_12908/1-111 UCAACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACGGACUGCAUCUCUGA-GAUG-AC-ACCGGGU-CAUAGGGAGCCCGG-CGUG-AUCGUUUCGGCGAAGGAG +URS0000D6B2DC_12908/1-111 UCAACCGCUGGACAGA-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACGGACUGCAUCUCUGA-GAUG-AC-ACCGGGU-CAUAGGGAGCCCGG-CGUG-AUCGUUUCGGCGAAGGAG +URS0000D6C5EE_653386/1-111 UCAACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AAUGACGGACUGCAUCUCUGA-GAUG-AC-ACCGGGU-CAUAGGGAGCCCGGC-GUG-AUCGUUUCGGCGAAGGAG +URS0000D68812_12908/1-111 AUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGAUCGCGACUCUGA-GAUG-GU-GUCGGGU-CAUAGGGAGCCCGGC-GUC-GCCGCUCCGGCGAAGGAG +URS0000D65A3F_12908/1-111 AUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGAUCGAUCCUCUGA-GAUG-GG-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCUGGCGAAGGAG +URS0000D6A9F8_706439/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AAUGACGGAUCGAUCCUCUGA-GAUG-GG-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCUGGCGAAGGAG +URS0000D6A259_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACGGAUCGAUCCUCUGA-GAUG-GG-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCUGGCGAAGGAG +URS0000D69B37_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGAUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUUCGGCGAAGGAG +URS0000D69D97_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUUCGGCGAAGGAG +URS0000D693B7_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCGCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUUCGGCGAAGGAG +URS0000D6A609_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUUGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCGUC--AUCGUUCCGGCGAAGGAG +URS0000D6AB19_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCGUC--AUCGUUCCGGCGAAGGAG +URS0000D6C3D1_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUUGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D660F5_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCGCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D6C822_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D6C822_562973/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D693EA_944560/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GG-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D693EA_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCUCUGA-GAUG-GG-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D6A75C_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGCUCCACUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D6B15E_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGAUCGCUCCUCUGA-GAUG-GA-GUCGGGU-CAUAGGGAGCCUGGCAUC--AUCGUUCCGGCGAAGGAG +URS0000D67997_871541/1-111 GCCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGAUCCUCUGA-GAUG-GA-GCCGGGU-CAUAGGGAGCCUGAC-UUC-AUCGUUUCGGCGAAGGAG +URS0000D68D5B_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--GAUGACAGAUCGAUCCUCUGA-GAUG-GA-GCCGGGU-CAUAGGGAGCCUGACUUC--AUCGUUUCGGCGAAGGAG +URS0000D6C356_12908/1-111 GUCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGAUCGAUCCCCUGA-GAUG-AA-GUUGGGU-CAUAGGGAGCCUGACA-UC-AUCGUUUCGGCGAAGGAG +URS0000D6D124_12908/1-111 GUCGCCGCCGGACAGG-AACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGAUCGAUCCCCUGA-GAUG-AA-GUUGGGU-CAUAGGGAGCCUGACA-UC-AUCGUUUCGGCGAAGGAG +URS0000D69CCD_12908/1-111 AACACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUA-GC-ACCGGGU-CAUAGGGAGCCCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6A909_12908/1-111 GACACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUA-GC-ACCGGGU-CAUAGGGAGCCCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D68122_12908/1-111 AAUACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCCCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6CE52_12908/1-111 GACACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCCCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6AC60_12908/1-111 AACACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCUCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6AC60_1115803/1-111 AACACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCUCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6A180_12908/1-111 AACACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCUCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6988A_12908/1-111 AACACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCCCGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D6A372_12908/1-111 AACACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGCGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCCUGG-GGCG-AUCGUUCUGGCGAAGGAG +URS0000D67904_12908/1-111 AGUGCCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGAUCGCACUCCUGA-GAUG-GC-ACCGGGU-CAUAGGGAGCCCGG-GGUG-AUCGUUCUGGCGAAGGAG +URS0000D6B0B4_12908/1-111 GGCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACGGUG--UCGGGU-CAUAGGGAGCCCGG--CGCAGUCGCUCUGGCGAAGGAG +URS0000D6AE55_12908/1-111 GGCACCGCCGGACAGA-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACGGUG--UCGGGU-CAUAGGGAGCCUGG--CGCAGUCGCUCUGGCGAAGGAG +URS0000D6AE55_762963/1-111 GGCACCGCCGGACAGA-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACGGUG--UCGGGU-CAUAGGGAGCCUGG--CGCAGUCGCUCUGGCGAAGGAG +URS0000D6C5AA_12908/1-111 GGCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACG-GC-GUCAGGU-CAUAGGGAGCCUGG-CGCA-GUCGCUCUGGCGAAGGAG +URS0000D671CD_12908/1-111 GGCACCGCUGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACG-GU-GUCGGGU-CAUAGGGAGCCUGG-CGCA-GUCGCUCUGGCGAAGGAG +URS0000D6656F_12908/1-111 GGCACCGCCGGACAGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACG-GU-GUCGGGU-CAUAGGGAGCCUGG-CGCA-GUCGCUCUGGCGAAGGAG +URS0000D694DA_12908/1-111 GGCACCGCCGGACGGG-GACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACAGGCCGCAUCUCUGA-GACA-GU-GUCGGGU-CAUAGGGAGCCCGG-CGCA-GUCGCUCUGGCGAAGGAG +URS0000D6C554_12908/1-111 GGUACCGCUGGACGGG-AACGGUCCCGAGG-GUU--GGGG------AGC-CC--AGUGACGGAUCGCAUUUCUGA-GACG-GU-GUCGGGU-CAUAGGGAGCCUGGC-GUC-AUCGUUCCAGCGAAGGAG +URS0000D6B820_12908/1-111 GGUACCGCUGGACGGG-AACGGUCCCGAGG-GUU--GGGG------AGC-CC--AGUGACGGAUCGCAUUUCUGA-GACG-GU-GUCGGGU-CAUAGGGAGCCCGGC-GUC-AUCGUUCCAGCGAAGGAG +URS0000D69B45_12908/1-111 GUCACCGCCGGACAGG-AACGGUCUCGAGG-GUU--GGGG------AGC-CC--AGUGACGGAUCGCAUUUCUGA-GACG-GC-GUCAGGU-CAUAGGGAGCCUGG-CGUC-AUCGUUCCAGCGAAGGAG +URS0000D6BD88_12908/1-109 CUUGCCGCCGGACGGA-ACGGGUCGCGAGG-GUU--GGGG------AAC-CC--GACGACCUACCCUG-A-CCGA-GCAC-UG-UACGGGU-CCAAGGGAGCCCGC-ACGG-AGCGUUCUGGCGAAGGAG +URS0000D6853A_12908/1-109 CUUGCCGCCGGACGGA-ACGGGUCGCGAGG-GUU--GGGG------AAC-CC--GACGACCUACCCUG-A-CCGA-GCAC-UG-UACGGGU-CCAAGGGAGCCCGC-ACGG-AGCGUUCCGGCGAAGGAG +URS0000D67F64_12908/1-109 ACUGCCGCCGAACGGU-GCGGGGCGUGAGG-GUU--GGGG------AAC-CC--CGCGACCGCUUC-G-GAUCGA-GAUC-GG-UGCGGGU-CUUAGGGAGCCCG--UCCUGGUCGCUUCGGUGAAGGAG +URS0000D6C562_12908/1-111 GUUACCGCCGGGCGGG-GCGGACCGCGAGG-GUU--GGGG------AGC-CC--AUUGACCGGUUC-GUCGCCGA-GGUC-AG-GAUGGGU-CUUAGGGAGCCCAUCGCUG-ACCGUCCCGGCGAAGGAG +URS0000D6C1B2_12908/1-111 GUUACCGCCGGGCGGG-GCGGACCGCGAGG-GUU--GGGG------AGC-CC--AUUGACCGGUUC-GUCGCCGA-GGUC-AG-GAUGGGU-CUUAGGGAGCCCGUCGCUG-ACCGUCCCGGCGAAGGAG +URS0000D6CA8B_12908/1-111 GUUACCGCCGGGCGGG-GCGGACCGCGAGG-GUU--GGGG------AGC-CC--AUCGACCGGUUC-GUCGCCGA-GGUC-AG-GAUGGGU-CUUAGGGAGCCCGUCGCUG-ACCGUCCCGGCGAAGGAG +URS0000D6A478_12908/1-111 GUUACCGCCGGGCGGG-GCGGACCGUGAGG-GUU--GGGG------AGC-CC--AUCGACCGGUUC-GUCGCCGA-GGUC-AG-GAUGGGU-CUUAGGGAGCCCGUCGCUG-ACCGUCCCGGCGAAGGAG +URS0000D6A2C7_12908/1-109 AUCACCGCCGGGCGGA-ACGGAUCGGGAGG-GUU--GGGG------AAC-CC--GUUGAUCGAUCC-G-GGCCGA-GACU-GG-UGCAGGU-CUUAGGGAGCCUGC-UCCA-GGCGCUCCGGCGAAGGAG +URS0000D66525_12908/1-108 AUCACCACCGGACGGA-ACUGGUCGUGAGG-GUU--GGGG------AAC-CC--GCUGACCGGCCA-GGA-CCGA-GACG-UG-CGAGGGU-CCCAGGGAGCCC-AAGCA--GUCGCUCUGGCGAAGGAG +URS0000D69CCE_12908/1-108 AUCACCACCGGACGGA-ACUGGUCGUGAGG-GUU--GGGG------AAC-CC--GCUGACCGGCCA-GGA-CCGA-GACA-UG-CGAGGGU-CCCAGGGAGCCC-AAGCA--GUCGCUCUGGCGAAGGAG +URS0000D676C0_12908/1-108 AUCACCACCGGACGGA-ACUGGUCGUGAGG-GUU--GGGG------AAC-CU--GUUGACCGGCCA-GGA-CCGA-GACG-UG-CGAGGGU-CCCAGGGAGCCC-AAGCA--GUCGCUCUGGCGAAGGAG +URS0000D6C96A_12908/1-108 AUCACCACCGGACGGA-ACUGGUCGUGAGG-GUU--GGGG------AAC-CC--GUUGACCGGCCA-GGA-CCGA-GACG-UG-CGAGGGU-CCCAGGGAGCCC-AAGCA--GUCGCUCUGGCGAAGGAG +URS0000D66B9C_12908/1-108 AUCACCACCGGACGGA-ACUGGUCGUGAGG-GUU--GGGG------AAC-CC--GUUGACCGGCCA-GGA-CCGA-GACA-UG-CGAGGGU-CCCAGGGAGCCC-AAGCA--GUCGCUCUGGCGAAGGAG +URS0000D69788_12908/1-109 AUCACCGCCGGACGGG-CGAGGUUGUGAGG-GUU--GGGG------AAC-CC--GGUGACCAGCUU-C-AUCCGA-GAU--GG-CUCGGGU-UUAAGGGAGCCCGGGACCG-AUCGCUCUGGCGAAGGAG +URS0000D67125_12908/1-109 AUCACCGCUGGACGGA-CGAGGUUGUGAGG-GUU--GGGG------AAC-CC--GGUGACCAGCUU-C-AUCCGA-GAU--GG-CUCGGGU-UUAAGGGAGCCCGGGACCG-AUCGCUCCGGCGAAGGAG +URS0000D6603D_525246/1-109 GUCACCGCCGGACGGA-ACAGGUCACGAGG-GUU--GGGG------AAC-CC--GAUGACCGGCCU-GGA-CCGA-GACG-GC-CACGAGU-ACUAGGGAGCUCGG-GGCA-GUCGCUUCGGUGAAGGAG +URS0000D663EE_12908/1-111 UGUGCCGCCGGACGGA-GAGGGUCACGAGG-GUU--GGGG------AAC-CC--GGUGACCGGCCC-UCCUCCGA-GAUG-GC-C-CGGGGUCUAAGGGAGCCCGGG-GUCGAUCGCUCUGGCGAAGGAG +URS0000D66FC7_12908/1-110 ACUGCCGUCGGACGGG-ACGGGUCGUGAGG-GUU--GGGG------AAC-CC--GUUGAGCGGUCC-GUCGCCGA-GGUC-GA-GGCGGGU-CUUAGGGAGCCCG--CUCCGAUCGCUCCGGCGAAGGAG +URS0000D68641_12908/1-110 ACUGCCGUCGGACGGG-ACGGGUCGUGAGG-GUU--GGGG------AAC-CC--GUUGAGCGGUCC-GUCACCGA-GGUC-GA-GGCGGGU-CUUAGGGAGCCCG--CUCCGAUCGCUCCGGCGAAGGAG +URS0000D6CCB9_12908/1-110 ACUGCCGUCGGACGGG-ACGGGUCGUGAGG-GUU--GGGG------AAC-CC--GUUGAUCGGUUC-GUCGCCGA-GGUC-GA-GGCGGGU-CUUAGGGAGCCCG--CUCCGAUCGCUCCGGCGAAGGAG +URS0000D6B85C_12908/1-110 ACUGCCGUCGGACGGG-ACGGGUCGUGAGG-GUU--GGGG------AAC-CC--GUUGAUCGGUCC-GUCGCCGA-GGUC-GA-GGCGGGU-CUUAGGGAGCCCG--CUCCGAUCGCUCCGGCGAAGGAG +URS0000D690FE_12908/1-110 ACUGCCGUCGGACGGG-ACGGGUCGUGAGG-GUU--GGGG------AAC-CC--GUCGAGCGGUCC-GUCGCCGA-GGUC-GA-GGCGGGU-CUUAGGGAGCCCGCU-CCG-AUCGCUCCGGCGAAGGAG +URS0000D68270_12908/1-110 GUCACCGCCGGACGGG-CGGGGCCGUGAGG-GUU--GGGG------AAC-CC--GGUGACCGGCCC-C-CUCCGA-GGUG-GC-UCGGGGU-UUAAGGGAGCCCCG-GGUCGAUCGUUCCGGCGAAGGAG +URS0000D66A81_12908/1-110 GUCACCGCCGGACGGG-CGGGGCCGUGAGG-GUU--GGGG------AAC-CC--GGUGACCGGCCU-C-CUCCGA-GGUG-GC-UCGGGGU-UUAAGGGAGCUCCG-GGUCGAUCGUUCCGGCGAAGGAG +URS0000D68F5B_12908/1-110 GUCACCGCCGGACGGG-CGGGGCCGUGAGG-GUU--GGGG------AAC-CC--GGUGACCGGCCC-C-CUCCGA-GGUG-GC-UCGGGGU-UUAAGGGAGCUCCG-GGUCGAUCGUUCCGGCGAAGGAG +URS0000D67823_12908/1-110 GUCACCGCCGGACGGG-CGGGGCCGUGAGG-GUU--GGGG------AAC-CC--GGUGACCGGCCU-C-CUCCGA-GGUG-GC-UCGGGGU-UUAAGGGAGCCCCG-GGUCGAUCGUUCCGGCGAAGGAG +URS0000D689E8_12908/1-110 AUCACCGCCGGACGGACGGGGGUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGCCCU-C-GUCCGA-GAUG-AC-CCAGGGU--CCAGGGAGCCCCG-GGCCGGUCGCUCCGGCGAAGGAG +URS0000D676F7_12908/1-110 AUCACCGCCGGACGGACGGGGGUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGCCCU-C-GUCCGA-GAUG-AC-CCAGGGU--CCAGGGAGCCCCG-GGCCGAUCGCUCCGGCGAAGGAG +URS0000D672DB_12908/1-110 AUCACCGCCGGACGGACGGGGGUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGCUCUU--GUCCGA-GAUG-AC-CCAGGGU--CCAGGGAGCCCCG-GGCCGAUCGCUCCGGCGAAGGAG +URS0000D67003_12908/1-110 AUCACCGCCGGACGGACGGGGGUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGCUCU-C-GUCCGA-GAUG-AC-CCAGGGU--CCAGGGAGCCCCG-GGCCGAUCGCUCCGGCGAAGGAG +URS0000D6BC48_12908/1-110 GGUACCGCCGGAUGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GACGACUGGCAG-GCAUCCGA-GUUC-GG-AACGGGU-UUUAGGGAGCCCGG-ACUG-GACGAUCCGGCGAAGGAG +URS0000D66CBF_12908/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGGA-CCG-GACGUUCUGGUGAAGGAG +URS0000D66CBF_706439/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGGA-CCG-GACGUUCUGGUGAAGGAG +URS0000D66CBF_871541/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGGA-CCG-GACGUUCUGGUGAAGGAG +URS0000D66CBF_562973/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGGA-CCG-GACGUUCUGGUGAAGGAG +URS0000D66CBF_944560/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGGA-CCG-GACGUUCUGGUGAAGGAG +URS0000D66138_12908/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGG-CUUAGGGAGCCCGG-ACCG-GACGUUCUGGUGAAGGAG +URS0000D69956_12908/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUAUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-GACGUUCUGGUGAAGGAG +URS0000D6CA66_653386/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GUUGACUGACAG-GUAUCCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACUG-GACGUUCUGGCGAAGGAG +URS0000D6C08E_12908/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GACGACUGGCAG-GUAUCCGA-GUUC-GG-AACGGGU-UUUAGGGAGCCCGG-ACCG-GACGUUCUGGCGAAGGAG +URS0000D6A9B4_12908/1-110 ACUACCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-GACGUUCUGGCGAAGGAG +URS0000D67B38_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUCU-GG-AACGGGU-CUUAGGGAGCCCGG-ACCAGAGCGCUCUGGCGAAGGAG +URS0000D6B7D5_12908/1-110 ACUACCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-GCCG-AGCGCUCUGGCGAAGGAG +URS0000D69DF4_12908/1-110 ACUACCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-AGCGCUCUGGCGAAGGAG +URS0000D69DF4_1115803/1-110 ACUACCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-AGCGCUCUGGCGAAGGAG +URS0000D65E09_12908/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUCCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-AGCGCUCUGGCGAAGGAG +URS0000D6904B_762963/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUUCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-AGCGCUCUGGCGAAGGAG +URS0000D6904B_12908/1-110 ACUGCCGCCGGACGGA-ACCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGACUGGCAG-GUCUUCGA-GUUC-GG-AACGGGU-CUUAGGGAGCCCGG-ACCG-AGCGCUCUGGCGAAGGAG +URS0000D67EF2_12908/1-110 ACUGCCGCUGGACGGA-AUCGGUCACGAGG-GUU--GGGG------AGC-CC--AAUGACUGGCAG-GUAUCCGA-GUUC-GG-AACGGGU-UUUAGGGAGCCCGG-ACCG-GGCGCUCCGGCGAAGGAG +URS0000D68E06_12908/1-110 ACUGCCGCUGGACGGA-AUCGGUCACGAGG-GUU--GGGG------AGC-CC--GAUGAAUGGCAG-GUAUCCGA-GUUC-GG-AACGGGU-UUUAGGGAGCCCGG-ACCG-GGCGCUCCGGCGAAGGAG +URS0000D66278_12908/1-109 GUCACCGCCGGACGGG-AGUGGUCACGAGG-GUU--GGGG------AAC-CC--GAUGACCGGCCA-CGA-CCGA-GGUG-AC-CAAGGGU-CUAAGGGAGCCCAA-GGGC-GCCGCUUCGGCGAAGGAG +URS0000D6A9DB_12908/1-109 GUCACCGCCGGACGGG-AGUGGUCGUGAGG-GUU--GGGG------AAC-CC--GAUGACCGGCUA-CGA-CCGA-GGUG-AC-CAAGGGU-CUAAGGGAGCCC-GAGGGC-GCCGCUUCGGCGAAGGAG +URS0000D664F2_12908/1-109 GUCACCGCCGGGCGGG-AGCGGUCGUGAGG-GUU--GGGG------AAC-CC--GAUGACCGGGCG-CUUCCCGA-GGCG-AC-CGAGGGU-CUAAGGGAGCCC-G-AGGC-GCCGCUUCGGCGAAGGAG +URS0000D683BD_12908/1-109 GUCACCGCCGGACGGG-AGCGGUCGUGAGG-GUU--GGGG------AAC-CC--GAUGAUCGGGCG-CUUUCCGA-GGCG-AC-CGAGGGU-CUAAGGGAGCCC-G-AGGC-GCCGCUUCGGCGAAGGAG +URS0000D68692_12908/1-109 GUCACCGCCGGACGGG-AGCGGUCGUGAGG-GUU--GGGG------AAC-CU--GAUGACCGGGCG-CUUUCCGA-GGCG-AC-CGAGGGU-CUAAGGGAGCCC-G-AGGC-GCCGCUUCGGCGAAGGAG +URS0000D6B9BE_12908/1-109 GUCACCGCCGGACGGG-AGCGGUCGUGAGG-GUU--GGGG------AAC-CC--GAUGACCGGGCG-CUUUCCGA-GGCG-AC-CGAGGGU-CUAAGGGAGCCC-G-AGGC-GCCGCUUCGGCGAAGGAG +URS0000D6A655_12908/1-109 GUCGCCGUCGGACGGA-GGCGGUCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGGCCG-CAG-UCGA-GGCG-AC-CAAGGGU-CUAAGGGAGCCC-GUGGAC-GCCGCUCCGGCGAAGGAG +URS0000D66DA1_12908/1-109 CUCACCGUCGGACGGA-CGCGGUCGUGAGG-GUU--GGGG------AAC-CC--GGUGACCGGCCG-UAG-CCGA-GGCG-AC-CAAGGGU-CUAAGGGAGCCC-GCGGAC-GCCGCUCCGGCGAAGGAG +URS0000D693A2_12908/1-111 CUUGCCGCCGGACGGG-AGGGGUCGUGAGG-GUU--GGGG------AGC-CC--AAUGACCGAGUC-CUUGCCGA-GACG-GC-CGAGGGU-CUUAGGGAGCCC-GAGGUCGGUCGCUCUGGCGAAGGAG +URS0000D6B684_12908/1-111 GUUACCGCCGGACGGG-AGGGGUCGUGAGG-GUU--GGGG------AGC-CC--AAUGACCGAGUC-CUUGCCGA-GACG-GC-CGAGGGU-CUUAGGGAGCCC-GAGGUCGGUCGCUCUGGCGAAGGAG +URS0000D6612E_12908/1-112 GUUACCGCCGGACGGG-AGGACUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGAGCC-CUUUCCGA-GACG-GC-CGAGGGUCUAUAGGGAGCCC-GAGGUCGGUCGCUCUGGCGAAGGAG +URS0000D6C846_12908/1-111 GUUACCGCCGGACGGG-AGGACUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGAGCC-CUUUCCGA-GACG-GC-CGAGGGU-CUUAGGGAGCCC-GAGGUCGGUCGCUCUGGCGAAGGAG +URS0000D68C5D_12908/1-111 GUUACCGCCGGACGGG-AGGGCGCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGAGCC-CUUUCCGA-GACG-GC-CGAGGGU-CUUAGGGAGCCC-GAGGUCGGUCGCUCUGGCGAAGGAG +URS0000D695FD_12908/1-111 GUUGCCGCCGGACGGG-GGGACUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAGUU-CUUGCCGA-GACG-GC-CGAGGGU-CUUAGGGAGCCC-GAGGCUGGUCGCUCUGGCGAAGGAG +URS0000D68EE1_12908/1-111 GUUGCCGCCGGACGGG-AGGACUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAGUU-CUUGCCGA-GACG-GC-CGAGGGU-CUUAGGGAGCCC-GAGGCUGGUCGCUCUGGCGAAGGAG +URS0000D6ADB3_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GACGACCGAUCG-GAUUUCGA-GG-C-CG-CUCGGGUUGAUAGGGAGCCCGGCACGGA-CCGCUCUGGCGAAGGAG +URS0000D6AAA7_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGUGAGG-GUU--GGGG------AGC-CC--GACGACCGAUCG-GAUUUCGA-GG-C-CG-CUCGGGUUGAUAGGGAGCCCGGCACGGA-CCGCUCUGGCGAAGGAG +URS0000D6B49D_12908/1-112 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC-UUCGGGUUGAUAGGGAGCCCGA-CGCGAGUCGUUCUGGCGAAGGAG +URS0000D6B49D_653386/1-112 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC-UUCGGGUUGAUAGGGAGCCCGA-CGCGAGUCGUUCUGGCGAAGGAG +URS0000D66FF1_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGGGUUGAUAGGGAGCCCGG-CGCGAGUCGCUCUGGCGAAGGAG +URS0000D6A656_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGGGUUGAUAGGGAGCCCGA-CGCGAGUCGCUCUGGCGAAGGAG +URS0000D68E0B_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGGGUUGAUAGGGAGCCCGG-CGCGAGUCGCUCUGGCGAAGGAG +URS0000D66205_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--UCGGGUUGAUAGGGAGCCCGA-CGCGAACCGCUCUGGCGAAGGAG +URS0000D66992_12908/1-111 ACCGCCGCCGGACGGA-ACUAGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--UCGGGUUGAUAGGGAGCCCGA-CGCGAACCGCUCUGGCGAAGGAG +URS0000D679D2_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--UCGGGUUGAUAGGGAGCCCGGC-GCGGACCGCUCUGGCGAAGGAG +URS0000D678A7_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GACGACCGAUCG-GAUUUCGA-GGCC-GC--UCGGGUUGAUAGGGAGCCCGGC-GCGGACCGCUCUGGCGAAGGAG +URS0000D6585F_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GACGACCGAUCG-GAUUUCGA-GACU-GC--UCGGGUUGAUAGGGAGCCCGGC-GCGGACCGCUCUGGCGAAGGAG +URS0000D6877C_12908/1-111 ACUGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--GACGACCGAUCG-GAUUUCGA-GGCU-GC--UCGGGUUGAUAGGGAGCCCGGC-GCGGACCGCUCUGGCGAAGGAG +URS0000D66D56_12908/1-111 ACCGCCGCCGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--CAUGACCGAUCG-GAUUUCGA-GGUC-GC--CCGAGUUGAUAGGGAGCUCGG-CGUGAACCGCUCUGGCGAAGGAG +URS0000D68E72_706439/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGGGUUGAUAGGGAGCUCGG-CGUGAGCCGCUCUGGCGAAGGAG +URS0000D67DAA_871541/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGACCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGUGAGCCGCUCUGGCGAAGGAG +URS0000D67DAA_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGACCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGUGAGCCGCUCUGGCGAAGGAG +URS0000D6B12A_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGUGAGCCGCUCUGGCGAAGGAG +URS0000D68A27_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGCGAGCCGCUCUGGCGAAGGAG +URS0000D68A27_562973/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGCGAGCCGCUCUGGCGAAGGAG +URS0000D6C40C_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGUGAGCCGCUCUGGCGAAGGAG +URS0000D6C40C_944560/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUCGG-CGUGAGCCGCUCUGGCGAAGGAG +URS0000D690BC_12908/1-111 ACCGCCGCCGGACGGA-ACUGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GAUUUCGA-GGCC-GC--CCGAGUUGAUAGGGAGCUUGG-CGCGAGCCGCUCUGGCGAAGGAG +URS0000D6C104_12908/1-111 UCUACCGCUGGACGGA-UCCGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GCUUUCGA-GGUC-GC--CCGGGUUGAUAGGGAGCCCGA-CGUGAACCGCUCCAGCGAAGGAG +URS0000D65B5F_12908/1-111 CCUGCCGCUGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GCUUUCGA-GGUC-GC--CCGGGUUGAUAGGGAGCCCGA-UGUGAACCGCUCUGGCGAAGGAG +URS0000D6D223_12908/1-111 CCUGCCGCUGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GCUUUCGA-GGUC-GC--CCGGGUUGAUAGGGAGCCCGA-CGUGAACCGCUCCGGCGAAGGAG +URS0000D6700B_12908/1-111 UCUGCCGCUGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GCUUUCGA-GGUC-GC--CCGGGUUGAUAGGGAGCCCGA-CGUGAACCGCUCUGGCGAAGGAG +URS0000D6C1BF_12908/1-111 UCUGCCGCUGGACGGA-ACCGGUCGCGAGG-GUU--GGGG------AGC-CC--AAUGACCGAUCG-GCUUUCGA-GGUC-GC--CCGGGUUGAUAGGGAGCCCGA-CGUGAACCGCUCCGGCGAAGGAG +URS0000D6A159_12908/1-112 ACCGCCGCCGGACGGAAACCGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGAUCG-GCUUUCGA-GGU--CA-CCCGAGUUGAUAGGGAACUCGGCAUG-AGCCGCUCUGGCGAAGGAG +URS0000D69257_525246/1-110 GUCACCGCCGGACGGA-ACGGGUCGCGAGG-GUU--GGGG------AGC-CU--GACGACCGAUCC-GCCUCCGA-GACA-GC-CACAGGU-CUUAGGGAGCCCA-AGGCA-GUCGCUCCGGCGAAGGAG +URS0000D67F39_525246/1-110 ACUGCCGCCGGACGGA-ACGGGUCGCGAGG-GUU--GGGG------AGC-CU--GAUGACCGACCC-GCCUCCGA-GACA-GC-CACGGGU-CUUAGGGAGCCCGAA-GCC-GUCGCUCCGGCGAGGGAG +URS0000D692AF_12908/1-109 CCUGCCGCCGGACGGA-GCCGGCCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGGCUG-GUGUCCGA-GACG-GA--UCGGGU-CUUAGGGAGCCCGGU-UCG-GUCGCUCCGGCGAAGGAG +URS0000D68879_12908/1-109 CCUGCCGCCGGACGGA-GCCGGCCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGCCUG-GUGUCCGA-GACG-GA--CCGGGU-CUUAGGGAGCCCGGU-UCG-GUCGCUCCGGCGAAGGAG +URS0000D6C6F9_12908/1-109 CCUACCGCCGGACGGA-GCCGGCCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGGCUG-GUGUCCGA-GACG-GA--CCGGGU-CUUAGGGAGCCCGGU-UCG-GUCGCUCCGGCGAAGGAG +URS0000D69D14_12908/1-109 ACUGCCGCCGGACGGA-GCCGGCCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGGCUG-GUGUCCGA-GACG-GA--CCGGGU-CUUAGGGAGCCCGGU-UCG-GUCGCUCCGGCGAAGGAG +URS0000D665FC_12908/1-109 CCUGCCGCCGGACGGA-GCCGGCCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGGCUG-GUGUCCGA-GACG-GA--CCGGGU-CUUAGGGAGCCCGGU-UCG-GUCGCUCCGGCGAAGGAG +URS0000D665FC_888056/1-109 CCUGCCGCCGGACGGA-GCCGGCCGCGAGG-GUU--GGGG------AAC-CC--GACGACCGGCUG-GUGUCCGA-GACG-GA--CCGGGU-CUUAGGGAGCCCGGU-UCG-GUCGCUCCGGCGAAGGAG +URS0000D6B3D1_12908/1-110 GCAGCCGCCGGACGGA-GCGGGCCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGGAUC-GUUGCCGA-GACG-GA-GUCGGGU-CUUAGGGAGCCCG--GCCCGGUCGCUCUGGCGAAGAAG +URS0000D670FC_12908/1-110 GCAGCCGCCGGACGGA-GCGGGCCGCGAGG-GUU--GGGG------AAC-CC--GAUGAUCGGAUC-GCUGCCGA-GACG-GA-GUCGGGU-CUUAGGGAGCCCG--GCCCGGUCGCUCUGGCGAAGAAG +URS0000D6B7BD_12908/1-110 GCAGCCGCCGGACGGA-GCGGGCCGCGGGG-GUU--GGGG------AAC-CC--GAUGACCGGAUC-GCUGCCGA-GACG-GA-GUCGGGU-CUUAGGGAGCCCG--GCCCGGUCGCUCUGGCGAAGAAG +URS0000D66797_12908/1-110 GCAGCCGCCGGACGGA-GCGGGCCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGGAUC-GCUGCCGA-GACG-GA-GUCGGGU-CUUAGGGAGCCCG--GCCCGGUCGCUCUGGCGAAGAAG +URS0000D67ACA_12908/1-118 GCAGCCGCCGGACGGG-GCGGGCCGCGAGGGUUG--GGGAGCCCGAUGACCC--GAUGACCGGUUC-GCCGCCGA-GAUG-GG-ACCGGGU-UUUAGGGAGCCCG--GCCCGAUCGCUCUGGCGAAGAAG +URS0000D69E9D_12908/1-110 GCAGCCGCCGGACGGG-GCGGGCCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGGUUC-GCCGCCGA-GAUG-GG-ACCGGGU-CUUAGGGAGCCCG--GCCCGAUCGCUCUGGCGAAGAAG +URS0000D69C01_12908/1-110 GCAGCCGCCGGACGGG-GCGGGCCGCGAGG-GUU--GGGG------AGC-CC--GAUGACCGGUUC-GCCGCCGA-GAUG-GG-ACCGGGU-UUUAGGGAGCCCG--GCCCGAUCGCUCUGGCGAAGAAG +URS0000D68A03_12908/1-111 ACCGCCGCCGGACGGA-GCGGGUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGGGUC-GCUGCCGA-GACG-GC-UCCGGGU-CUUAGGGAGCCCGG-GGCCGGUCGUUCUGGCGAAGGAG +URS0000D6C5DD_12908/1-111 ACCGCCGCCGGACGGA-GCGGGUCGCGAGG-GUU--GGGG------AAC-CU--GAUGACCGGGUC-GCUGCCGA-GACG-GU-UCCGGGU-CUUAGGGAGCCCGG-GGCCGGUCGUUCUGGCGAAGGAG +URS0000D66F8E_12908/1-111 ACCGCCGCCGGACGGA-GCGGGUCGCGAGG-GUU--GGGG------AAC-CC--GAUGACCGGGUC-GCUGCCGA-GACG-GU-UCCGGGU-CUUAGGGAGCCCGG-GGCCGGUCGUUCUGGCGAAGGAG +URS0000D6A8B5_12908/1-111 AUCGCCGCCGGACGGA-GCGGGCCGCGAGG-GUU--GGGG------AAC-CC--GGUGACCGGGUC-GUUUCCGA-GACG-GA-GCCGGGU-CUUAGGGAGCCCGGCA-CCGGUCGCUCUGGCGAAGGAG +URS0000D69E5D_12908/1-110 GGCGCCGCCGGACGAA-GCGGGCCGCGAGG-GUU--GGGG------AAC-CC--GGUGACCGGGCC-GCUAUCGA-GGUC-GG-AACGGGU-CUUAGGGAGCCCGG-GCCG-GACGCUCCGGUGAAGGAG +URS0000D6B7EF_12908/1-107 ACUGCCGCCGGACGGU-ACGGACCGUGAGG-GUU--GGGG------AAC-CC--GAGGACCGGCUC-G-UACCGA----GAGUCGUCGGGGUUGCAGGGAACCNGC--AUUUAGGGACCC--CGGAGGAG +URS0000D65BF6_12908/1-114 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAGGAACAGGA------UUCCCC--ACAGACGGGCCC-G--ACCGA-GAAU-CG-CCAGGGUUUACAGGGAGCCCUG-ACGGAUUCGCUCCGGCGAAGGAG +URS0000D6C7A1_12908/1-111 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAA---CAGGA--------UUCCCCACAGACGGGCCC-G--ACCGA-GAAU-CG-CCAGGGUUUACAGGGAGCCCCG-GCGGAUUCGCUCAGGCGAAGGAG +URS0000D6AC29_12908/1-111 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAA---CAGGA--------UUCCCCACAGACGGGCCC-G--ACCGA-GAAU-CG-CCAGGGUUUACAGGGAGCCCCG-GCGGAUUCGCUCCGGCGAAGGAG +URS0000D6AACE_12908/1-110 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAA---CAGGA--------UUCCCCACGGACAGGCCC-G--ACCGA-GAAU-CG--CAGGGUUUACAGGGAGCCCUGA-CGGAUUCGCUCUGGCGAAGGAG +URS0000D69D3A_12908/1-110 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAA---CCGGA--------UUCCCCACGGACAGGCCC-G--ACCGA-GAAU-CG--CAGGGUUUACAGGGACCCCUGA-CGGAUUCGCUCCGGCGAAGGAG +URS0000D69DD9_12908/1-110 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAA---CAGGA--------UUCCCCACGGAUAGGCCC-G--ACCGA-GAAU-CG--CAGGGUUUACAGGGACCCCUGA-CGGAUUCGCUCCGGCGAAGGAG +URS0000D68277_12908/1-110 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAA---CAGGA--------UUCCCCACGGAUAGGCCC-G--ACCGA-GAAU-CG--CAGGGUUUACAGGGAGCCCUGA-CGGAUUCGCUCCGGCGAAGGAG +URS0000D6B00B_12908/1-110 ACUGCCGCCGGACGGU-GCGGGUCGUGAGGAACC-----G------GAUUCCCCACGGACAGGCCC-G--ACCGA-GAAU-CG--CAGGGUUUACAGGGAGCCCUG-ACGGAUUCGCUCCGGCGAAGGAG +#=GC SS_cons :::::(((((((<<<<.-<<<<<<<---<<.<<<..____......>>>.>>..------>>>>>>.>-->>>>,.<<<<.<<.--<<<<<.________>>>>>-.->>>.>>>,,))))))):::::: +#=GC RF auuaCCGCcGGaCGgc.accggcCgcGAGG.Gcu..GGGG......agC.CC..gauGAccGgccg.guugcCGA.Ggcc.gg.aucGgGc.cuuAGGGAgCcCgg.accg.gcCGuuCCgGCGAAGGAG +// diff --git a/raw_data/life/L017/0006-RF01347.stockholm b/raw_data/life/L017/0006-RF01347.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..87dc34bd25a35f82f333677ebcf49d778039be4b --- /dev/null +++ b/raw_data/life/L017/0006-RF01347.stockholm @@ -0,0 +1,32 @@ +# STOCKHOLM 1.0 +#=GF ID CRISPR-DR37 +#=GF AC RF01347 +#=GF DE CRISPR RNA direct repeat element +#=GF AU Wilkinson A; 0000-0001-7406-0151 +#=GF GA 40.0 +#=GF NC 39.7 +#=GF TC 40.0 +#=GF SE Predicted; WAR; Wilkinson A +#=GF SS Predicted; WAR; Wilkinson A +#=GF TP Gene; CRISPR; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 24.00 -Z 2958934 CM SEQDB +#=GF DR URL; http://crispr.u-psud.fr/crispr/CRISPRHomePage.php; +#=GF DR SO; 0001459; CRISPR; +#=GF DR GO; 0006952; defense response; +#=GF RN [1] +#=GF RM 17521438 +#=GF RT The CRISPRdb database and tools to display CRISPRs and to generate +#=GF RT dictionaries of spacers and repeats. +#=GF RA Grissa I, Vergnaud G, Pourcel C +#=GF RL BMC Bioinformatics. 2007;8:172. +#=GF WK CRISPR +#=GF SQ 3 + +BA000019.2/2179133-2179167 GUUUCCAUCCCCGUGAGGGGUAAGAGAUUAAAAAC +CP000117.1/4244596-4244630 GUUUCCAUCCCCGUGAGGGGUAAAGGAAUUAAAAC +AAXW01000070.1/13590-13624 GUUUCCAUCCCCGUGAGGGGAAUAAGUGUUUUGAA +#=GC SS_cons :<<<----<<<<____>>>>---->>>:::::::: +#=GC RF GuUuCCAUCCCCGUGAGGGGuAaAaGaaUUaaAAc +// diff --git a/raw_data/life/L017/0007-RF01014.stockholm b/raw_data/life/L017/0007-RF01014.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..083c1fcac448666120dfcccaf300c9131f0f06b2 --- /dev/null +++ b/raw_data/life/L017/0007-RF01014.stockholm @@ -0,0 +1,71 @@ +# STOCKHOLM 1.0 +#=GF ID mir-1306 +#=GF AC RF01014 +#=GF DE microRNA mir-1306 +#=GF AU Griffiths-Jones SR; 0000-0001-6043-807X +#=GF GA 70.0 +#=GF NC 60.1 +#=GF TC 75.7 +#=GF SE Griffiths-Jones SR +#=GF SS Predicted; RNAalifold +#=GF TP Gene; miRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF DR MIPF; MIPF0000531; +#=GF DR SO; 0001244; pre_miRNA; +#=GF DR GO; 0016442; RISC complex; +#=GF DR GO; 0035195; miRNA-mediated post-transcriptional gene silencing; +#=GF RN [1] +#=GF RM 18285502 +#=GF RT Application of massively parallel sequencing to microRNA profiling and +#=GF RT discovery in human embryonic stem cells. +#=GF RA Morin RD, O'Connor MD, Griffith M, Kuchenbauer F, Delaney A, Prabhu AL, +#=GF RA Zhao Y, McDonald H, Zeng T, Hirst M, Eaves CJ, Marra MA +#=GF RL Genome Res. 2008;18:610-621. +#=GF RN [2] +#=GF RM 18849523 +#=GF RT In-depth characterization of the microRNA transcriptome in a leukemia +#=GF RT progression model. +#=GF RA Kuchenbauer F, Morin RD, Argiropoulos B, Petriv OI, Griffith M, Heuser M, +#=GF RA Yung E, Piper J, Delaney A, Prabhu AL, Zhao Y, McDonald H, Zeng T, Hirst +#=GF RA M, Hansen CL, Marra MA, Humphries RK +#=GF RL Genome Res. 2008;18:1787-1797. +#=GF RN [3] +#=GF RM 20413612 +#=GF RT Mammalian microRNAs: experimental evaluation of novel and previously +#=GF RT annotated genes. +#=GF RA Chiang HR, Schoenfeld LW, Ruby JG, Auyeung VC, Spies N, Baek D, Johnston +#=GF RA WK, Russ C, Luo S, Babiarz JE, Blelloch R, Schroth GP, Nusbaum C, Bartel +#=GF RA DP +#=GF RL Genes Dev. 2010;24:992-1009. +#=GF RN [4] +#=GF RM 30423142 +#=GF RT miRBase: from microRNA sequences to function. +#=GF RA Kozomara A, Birgaoanu M, Griffiths-Jones S +#=GF RL Nucleic Acids Res. 2019;47:D155. +#=GF WK MicroRNA +#=GF SQ 19 + +URS000075D15D_7955/1-69 ---UCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGAAAUGGACGUUAGCUCUGGUGGUGAUGGACA +URS0000D505CF_8665/10-81 GCCUCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGUAAUGGACGUUAGCUCCGGUGGUGAUGGACA +URS0000D51755_8355/8-79 GCCUCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075E89E_9031/1-69 ---UCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075E89E_28377/1-69 ---UCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075B769_9600/8-79 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGGUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS0000D5216A_9544/1-58 -------CCACCUCCCCUGCAAACGUCCAGUGGUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUG------- +URS000075B769_9606/8-79 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGGUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075BFC1_9598/7-78 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGGUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075C7E3_9593/24-95 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGGUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075ADA3_10029/3-74 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075EDCD_10090/3-74 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075EBF6_10116/2-73 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS000075E1B7_9823/1-72 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS00007E45CD_9925/18-89 GUCUCCACCACCUCCCCUGCAAACGUCCAGUGAUGCAGACGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +URS00007E3A5A_246437/1-61 -------CCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUG---- +URS000075B587_9913/1-58 -------CCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUG------- +URS000075B587_9615/1-58 -------CCACCUCCCCUGCAAACGUCCAGUGAUGCAGAGGUAAUGGACGUUGGCUCUGGUGGUG------- +URS000075BCD8_8090/48-110 ACCUCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGUAAUGGACGUUAGCUCUGGUGG--------- +#=GC SS_cons ::::::::<<<<-<<---<<-<<<<<<<<---<<______>>-->>>>>>>>->>--->>->>>>::::::: +#=GC RF GuCUCCACCACCUCCCCUGCAAACGUCCAGUGacGCAGAGguAAUGGACGUUGGCUCUGGUGGUGAUGGACA +// diff --git a/raw_data/life/L017/0008-RF01546.stockholm b/raw_data/life/L017/0008-RF01546.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..bda892c3f6d009cab0f3343a58b85d73cb09e7ae --- /dev/null +++ b/raw_data/life/L017/0008-RF01546.stockholm @@ -0,0 +1,36 @@ +# STOCKHOLM 1.0 +#=GF ID TB6Cs1H1 +#=GF AC RF01546 +#=GF DE Trypanosomatid snoRNA TB6Cs1H1 +#=GF AU Osuch I +#=GF GA 40.0 +#=GF NC 39.7 +#=GF TC 48.7 +#=GF SE Predicted; WAR; +#=GF SS Predicted; WAR; +#=GF TP Gene; snRNA; snoRNA; HACA-box; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 25.96 -Z 2958934 CM SEQDB +#=GF DR SO; 0000594; H_ACA_box_snoRNA; +#=GF DR GO; 0006396; RNA processing; +#=GF DR GO; 0005730; nucleolus; +#=GF RN [1] +#=GF RM 15840815 +#=GF RT A genome-wide analysis of C/D and H/ACA-like small nucleolar RNAs in +#=GF RT Trypanosoma brucei reveals a trypanosome-specific pattern of rRNA +#=GF RT modification. +#=GF RA Liang XH, Uliel S, Hury A, Barth S, Doniger T, Unger R, Michaeli S +#=GF RL RNA. 2005;11:619-645. +#=GF WK Trypanosome_H/ACA_box_snoRNAs +#=GF SQ 6 + +AAHK01012838.1/375-440 CGGCCAGCGAAAACACAGGCGCCGUG-CUUGC-AACGAUCACUUCGCCUGCACCUGUGCUGCCCCAGA +AC013353.9/110996-110931 AGGCUAGCGAAAACACAGGCGUUUUG-CUUAC-GUCAAUCACUGCGUCUGCACCUGUGCUACCCGAGA +AAHK01012125.1/639-574 CGGCCAGCGAAAACACAGGCGCCGUG-CUUGC-AACGAUCACCUCGCCUGCACCUGUGCUGCCCCAGA +FR796458.1/633590-633657 AGGUCAGCGAAAACACAGUCGAAGUGGUAUUGACCCCGUCAUUUCGCCUGCACCUGUGCUGUCCGAGA +FR799579.1/612347-612414 AGGUCAGCGAAAACACAGUCGAAGCGGUAUUGACCCCGUCAUUUCGCCUGCACCUGUGCUGUCCGAGA +HE575319.1/404948-404883 AGGUCAGCGAAAACACAGGCGUUUUG-UUUAC-AUGGGUCACUGCGUCUGCACCUGUGCUGUCCGAGA +#=GC SS_cons :<<-<<<<<------<<<<<<<--<<._____.______>>-->>>>>>>------>>>>>->>:::: +#=GC RF aGGuCAGCGAAAACACAGgCGcuguG.uuUac.auCgaUCacUgCGcCUGCACCUGUGCUGuCCgAGA +// diff --git a/raw_data/life/L017/0009-RF01379.stockholm b/raw_data/life/L017/0009-RF01379.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..7a4697dd53e9239c03297e43e85cd0fcb9657b88 --- /dev/null +++ b/raw_data/life/L017/0009-RF01379.stockholm @@ -0,0 +1,34 @@ +# STOCKHOLM 1.0 +#=GF ID CRISPR-DR66 +#=GF AC RF01379 +#=GF DE CRISPR RNA direct repeat element +#=GF AU Wilkinson A; 0000-0001-7406-0151 +#=GF GA 45.0 +#=GF NC 40.4 +#=GF TC 61.0 +#=GF SE Predicted; WAR; Wilkinson A +#=GF SS Predicted; WAR; Wilkinson A +#=GF TP Gene; CRISPR; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.64 -Z 2958934 CM SEQDB +#=GF CL CL00014 +#=GF DR URL; http://crispr.u-psud.fr/crispr/CRISPRHomePage.php; +#=GF DR SO; 0001459; CRISPR; +#=GF DR GO; 0006952; defense response; +#=GF RN [1] +#=GF RM 17521438 +#=GF RT The CRISPRdb database and tools to display CRISPRs and to generate +#=GF RT dictionaries of spacers and repeats. +#=GF RA Grissa I, Vergnaud G, Pourcel C +#=GF RL BMC Bioinformatics. 2007;8:172. +#=GF WK CRISPR +#=GF SQ 4 + +AATN01002896.1/1464-1428 AGUUUAAUCCCUUGUAGGGAUUCUUUAUUUAUGGAAC +AATN01002896.1/1747-1712 GGUUUAAUCCCUUGUAGGGAUUC-UUAUUUAUGGAAC +CP000875.1/2850594-2850558 GUUUUAAUCCCUUGUAGGGAUUCUUUAUUUAUGGAAC +CP000875.1/2054143-2054179 GUUUUAAUCCCUUGUAAGGAUUCUUUAGUUAUGGAAC +#=GC SS_cons :::::<<<<<<<___>>>>>>>::::::::::::::: +#=GC RF GuUUUAAUCCCUUGUAGGGAUUCUUUAUUUAUGGAAC +// diff --git a/raw_data/life/L017/0010-RF01747.stockholm b/raw_data/life/L017/0010-RF01747.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..7d78364417dea21843813aa1b28566d2433bbab2 --- /dev/null +++ b/raw_data/life/L017/0010-RF01747.stockholm @@ -0,0 +1,148 @@ +# STOCKHOLM 1.0 +#=GF ID msiK +#=GF AC RF01747 +#=GF DE msiK RNA +#=GF AU Weinberg Z; 0000-0002-6681-3624 +#=GF GA 33.0 +#=GF NC 32.9 +#=GF TC 34.6 +#=GF SE Published; PMID:20230605; +#=GF SS Published; PMID:20230605; +#=GF TP Cis-reg; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 18.00 -Z 2958934 CM SEQDB +#=GF DR SO; 0005836; regulatory_region; +#=GF RN [1] +#=GF RM 20230605 +#=GF RT Comparative genomics reveals 104 candidate structured RNAs from bacteria, +#=GF RT archaea and their metagenomes. +#=GF RA Weinberg Z, Wang JX, Bogue J, Yang J, Corbino K, Moy RH, Breaker RR +#=GF RL Genome Biol. 2010;11:R31. +#=GF WK MsiK_RNA_motif +#=GF ** seedtax: Bacteria; unclassified sequences +#=GF SQ 120 + +BAAY01007686.1/255-195 AAAGAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--GACAAAUC +AACY023308612.1/1044-986 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +BX248355.1/160867-160810 CACUUUAU----UUCUUCUACU-CGGAUCGUUCGGCACGUACCUGCCGAUA-AAGAA---UGGAGUU- +AACY020556781.1/1408-1350 CGAACA-----UCGCUCUUACUUCGGAUCGUCCGGCACGUUCCUGCCGGUGAGAG-GA--ACCACCA- +AACY023290927.1/440-498 GGCCAUCA-----CCUUCAUCCUCGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023803192.1/795-737 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AACY023828838.1/892-834 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020296654.1/3720-3776 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023817491.1/7-64 UGUUGGAUG-----CUUUCACCACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023314832.1/131-189 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAAG----GAGUGCUA +AACY022653449.1/402-460 GCGCGGCA-----UCCAUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGA----GAAAAUAA +AACY021215036.1/138-80 UGGA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AM849034.1/2895497-2895439 GCAUCACA-----UCCAUCACCACGGAUCGUCGGGCACGUACCUGCCCGUGAAGGA----GAACACCG +AACY020059319.1/116-58 UGGA-----CUUGCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGAGA--- +CP000667.1/4785498-4785555 CGGCCCGC-----UCUUUCACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAAGG----AAGCACCC +AACY022515996.1/291-233 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY023808612.1/943-1001 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGU-AAGAGA---GGAAAAA- +AE014295.3/1661060-1661118 GAACAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--UAGUAA-- +AACY020309138.1/212-270 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020711540.1/892-834 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AACY020801666.1/396-454 UGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGCAU--- +AACY023816586.1/1430-1488 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AE017283.1/439778-439720 GUCACCGA-----UUUUCCACAACGGAUCGUCGGGCACGUACCUGCCCGUGGAAAG----GAACAACG +CP001341.1/953078-953020 AAACAUGAA----CCAUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GG----GAUUGAUA +AAMN01000005.1/40921-40863 GGGUUU-----UUCCCUUUACAACGGAUCGUCCGGCACGUUCCUGCCGGUGAAGG-AA--GGCAAUG- +AACY020530366.1/1402-1460 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020523976.1/2197-2141 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023442678.1/506-448 CCCA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGGAA--- +AACY023841016.1/464-520 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY021171437.1/836-780 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY021496387.1/154-96 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020303265.1/68-126 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020599560.1/709-651 UGGA-----CUUGCUUCAUCCAACGGAUGGUCGGGCACGUACUUGCCCCGAGAAGG-AAGAGAAA--- +AACY020064545.1/673-730 AAGAGGC----AC-UCGUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY020470988.1/2403-2346 ACGAGGC----ACUC-AUCACGAAGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY023319023.1/289-231 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023331894.1/236-178 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023355258.1/868-926 AAAUCGUU----UCCAUUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAAAACA- +AACY020170145.1/1281-1223 AGGAUGA-----CCUAUCUCCAACGGAUCGUCCGGCACGUACCUGCCGGGAGA-GGG---AGCUAACG +AACY023323829.1/260-317 GGCUAACG-----CCUUACCCU-CGGAACGUCGGGCACGUACCUGCCCGGAUAAGG----AAGAAAUA +AACY023430589.1/1577-1636 -CCGUGAGA---CCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGA-GAAGG---AGUAAACA +AACY020169821.1/1024-1081 UGGUCGCAA-----UACUUCCAAAGGAUCGUCGGGCACGUACCUGCCCGGAAGGA-----GAAAAAAU +AACY020177699.1/315-373 UGGA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AACY020051425.1/729-671 UGGA-----CUUGCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGAGA--- +AACY023443860.1/741-683 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGUAAUA +AACY020058740.1/867-924 AAGAGGC----AC-UCGUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY023834223.1/295-237 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY022769167.1/65-123 GGGA-----CUUACUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAGAAA--- +AACY023291338.1/1308-1251 GCCAUAAC-----CUUCAUCCU-CGGAUCGUCGGGCACGUACCAGCCCGGAUAAGG----AAGUCUUC +AP009256.1/2026471-2026413 ACAAAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--GACAAA-- +AACY023838183.1/673-731 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY023836095.1/167-109 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AACY021127318.1/81-23 GGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AACY023352948.1/821-764 AGCGAUCA----C-CUAUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAG---AAACAA-- +AACY023256209.1/29-86 ACGAGGC----ACUC-AUCACGAAGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAGU--AGAAA--- +AACY020538448.1/527-469 CUCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY023318012.1/501-443 GGCCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGAAAU +AACY022901723.1/625-567 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +AE016822.1/1880494-1880552 CCACAUCA-----UCCAUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGAAGGA----GAACACGA +AACY023844945.1/1161-1219 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY021052297.1/178-120 GGAGUAAC-----CUCCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAAGGAG----AGCUAGAA +AACY021345393.1/154-96 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020554771.1/6628-6686 UGGA-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +AACY020176623.1/1738-1796 AAAAAGAC-----CUUCAUCCAACGGAACGUCGGGCACGUACCUGCCCGGAAGAAG----GAGUAAAA +AACY023795141.1/1172-1114 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020619186.1/175-233 CUCG-----CUUACUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +ABMI01052056.1/105-49 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023836412.1/551-495 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023792959.1/1429-1476 ---------------UUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023294700.1/958-1016 CAGUA----ACU-CUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGAGAAGG-AGUAAGUA--- +AACY022775623.1/200-141 GCUGGCG-----CCUUUAUCCAACGGAUCGUCGGGCUCGUACCUGCCCGGUUAAGGG---AGUUACUU +AACY020468017.1/554-613 -CCGUGAGA---CCUUCAUCCAACGGAUCGUCGGGCACGUACCUGCCCGGA-GAAGG---AGUAAACA +AACY023982826.1/13-71 GACCAUCA-----CCUUCAUCCACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +AACY023340538.1/662-720 GCUCAUCA-----CCUUCACCUACGGAUCGUCGAGCACGUACCUGCUCGGAGAAGG----AGAAAUUC +AACY020296024.1/375-317 CGAACA-----UCUCUCUUACUUCGGAUCGUCCGGCACGUUCCUGCCGGUGAGAG-GA--ACCACCU- +AACY023434470.1/1454-1512 UGGA-----CUUACUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGAAAAA--- +U12007.1/36-95 -CACCACCA---CCUUCCUACAACGGAUCGUCCGGCACGUUCCUGCCGGUAG-AAGG---GGGCCCUU +AACY023331001.1/307-249 UGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGAAAUA +BA000030.3/4887082-4887138 UGGACACCA-----CCUUUACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAGG-----GGGCCCCU +AACY020525511.1/587-645 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020011956.1/378-436 GGGUGGGU----UCCAUUCACAAAGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAAAAUC- +AAOB01000005.1/162025-162083 GAUCGCUG----UCCAUUCACUAAGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAAAAAU- +AACY020307023.1/1756-1814 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGU-AAGAGA---GGAAAAA- +AACY023801115.1/426-484 GGCUGUCGA----CUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAG----AGGAAAAA +CP000750.2/1372523-1372582 -UGAAGACC---CCAUUCCACAACGGAUCGUCCGGCACGUACCUGCCGGUGGAA-GG---ACACACGA +CP000605.1/1702669-1702727 GAACAAAU-----CCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGG----AUUAGUAA +AACY023315685.1/655-597 GGUUAGCA-----CCUUCAUCCUCGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAAUUAC +CP000850.1/5276815-5276872 CGGUCCGU-----UCUUUCACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAAGG----AAGCACCC +AACY023818985.1/972-916 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023293856.1/1006-1063 ACCAGCAC-----CUUCAUCCU-CGGACCGUCGGGCACGUACCUGCCCGGAUAAGG----AAAUGUAA +AACY020165622.1/5444-5502 CCAC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGAAA--- +AACY023826769.1/1080-1024 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY020533395.1/706-648 GGCUGUCG----UCUCUUCACGACGGAUCGUCCGGCACGUACCUGCCGGU-AAGAGA---GGAAAAA- +AACY023292971.1/264-205 CAGUGAGA----CCUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGA-GAAGG---AGUAAUUA +AP006618.1/5869874-5869931 UGCCGACA-----CCCUGUACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGAAGGG----AAGUAUCU +AACY020524589.1/159-101 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY020296610.1/2203-2147 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY020172986.1/652-594 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGUAAUA +CP000474.1/988504-988446 GAAAAUGAA----CCAUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GG----GAUUGAUA +AACY020174331.1/171-229 GUGUAGGG----CUCUAUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGA-GGAG---AAAAAAU- +AACY020176753.1/132-74 UGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGCAU--- +AACY023806029.1/782-838 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY023822562.1/1011-1067 CCGUCG------UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-GGAGA---GGAAAAA- +AACY023799473.1/826-768 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAAA- +AACY022641081.1/812-869 CCACCUUU-----CUUCUUACAACGGAUCGUCCGGCACGUUCCUGCCGGUGA-GAG----GACUUGUC +AACY021867778.1/709-766 GGCUGUCG----UCUCUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUG-AGAGA---GGAAAA-- +AAQK01003194.1/85-143 ACAAAA-----AUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAU--GACAAA-- +AY842007.1/445-387 UUCACUG----UUUCUCACACUACGGAUCGUUCGGCACGUACCUGCCGAUG-GAGGAG--AUUCUG-- +AACY023826784.1/354-298 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY020467656.1/1124-1066 GGCCAUCA-----CCUUCAUCCUCGGACCGUCGGGCACGUACCUGCCCGGAGAAGG----AGAGCAAU +CP000431.1/4502789-4502731 CGGCACAC----CCCUAACACU-CGGAUCGUCCGGCACGUUCCUGCCGGUGG-AGGG---AUUCAUUU +AACY023309530.1/927-871 -GGCCAGCA-----CUUAAUCCUCGGAUCGUCGGGCACGUACCUGCCCGGAUAAG-----GAAAGUGA +CP001601.1/1416488-1416546 UUCACUG----UUUCUCACACUACGGAUCGUUCGGCACGUACCUGCCGAUG-GAGGAG--AUUCUG-- +AACY021516186.1/700-758 UGGC-----CUUGCUUCAUCCAACGGACCGUCGGGCACGUACCUGCCCGGAGAAGG-AAGUGCAU--- +AAYI02000004.1/407474-407531 CCACGG------UCACCCCACUACGGAUCGUCCGGCACGUACCUGCCGGUGGGAAGG---AAAACUC- +AACY023307698.1/644-701 GCUGUCC-----UCUAUUCACUACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GGA---GAUACAC- +AACY020294371.1/1956-2012 GUUGGAUG------CUUUCACAACGGAUCGUCCGGCACGUACCUGCCGGUGAAGG-----AGAUAAAA +AACY022762350.1/772-830 CGUGAGAC-----CUUCAUCCAACGGAUCGUCGGGUACGUACCUACCCGGAAGAGG----GAGAAAUA +AACY023224611.1/1289-1232 GACGAACA----C-CCAUCACAAUGGAUCGUCCGGCACGUACCUGCCGGUGAAGGAG---AAGAUC-- +CP000509.1/1122407-1122464 CCGUGCUCA----CC-UUUACGACGGAUCGUCCGGCACGUACCUGCCGGUGAA-GG----AGUUGUUC +#=GC SS_cons ::::::::....:<<<<<<<-----------<<<<<<______>>>>>>>>>>>>>....:::::::: +#=GC RF ggcaauca....uCcuuucaCAACGGAUCGUCcGGCACGUACCUGCCgGugaaagG....AgaaAaaa +// diff --git a/raw_data/life/L017/0011-RF00303.stockholm b/raw_data/life/L017/0011-RF00303.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..1b3406c2e62e34560acd8a4152242087f22444a4 --- /dev/null +++ b/raw_data/life/L017/0011-RF00303.stockholm @@ -0,0 +1,52 @@ +# STOCKHOLM 1.0 +#=GF ID snoR86 +#=GF AC RF00303 +#=GF DE Small nucleolar RNA snoR86 +#=GF AU Moxon SJ; 0000-0003-4644-1816 +#=GF GA 40.0 +#=GF NC 39.7 +#=GF TC 40.0 +#=GF SE Moxon SJ, INFERNAL +#=GF SS Predicted; PFOLD; Moxon SJ +#=GF TP Gene; snRNA; snoRNA; HACA-box; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 29.67 -Z 2958934 CM SEQDB +#=GF DR SO; 0000594; H_ACA_box_snoRNA; +#=GF DR GO; 0006396; RNA processing; +#=GF DR GO; 0005730; nucleolus; +#=GF DR snoopy; Arabidopsis_thaliana300124; +#=GF DR snoopy; Arabidopsis_thaliana300207; +#=GF RN [1] +#=GF RM 12007400 +#=GF RT Small nucleolar RNAs: an abundant group of noncoding RNAs with diverse +#=GF RT cellular functions. +#=GF RA Kiss T +#=GF RL Cell 2002;109:145-148. +#=GF RN [2] +#=GF RM 12477388 +#=GF RT Experimental RNomics: identification of 140 candidates for small +#=GF RT non-messenger RNAs in the plant Arabidopsis thaliana. +#=GF RA Marker C, Zemann A, Terhorst T, Kiefmann M, Kastenmayer JP, Green P, +#=GF RA Bachellerie JP, Brosius J, Huttenhofer A +#=GF RL Curr Biol 2002;12:2002-2013. +#=GF CC snoR86 is a member of the H/ACA class of small nucleolar RNAs (snoRNAs) +#=GF CC which act as guides in the the modification of uridines to pseudouridines +#=GF CC [1]. +#=GF WK Small_nucleolar_RNA_snoR86 +#=GF SQ 11 + +AL138659.1/77819-77696 GAGCAAUGACGUCAAAAU---AA----AAAUGGC-GUAAGUUGCCUUGAAGGUUGGCAACAACAAAUA--------GCGAUUCUCCGUGCCUAUCAAGUUUUCUAAUCUUGAUUGUU----GGCCUCGAACAAGUCGCUACAUU +AJ505659.1/1-124 GAGCAAUGACGUCAAAAU---AA----AAAUGGC-GUAAGUUGCCUUGAAGGUUGGCAACAACAAAUA--------GCGAUUCUCCGUGCCUAUCAAGUUUUCUAAUCUUGAUUGUU----GGCCUCGAACAAGUCGCUACAUU +AARH01007754.1/2159-2040 GAGCAAGGGUGUC--------GA----AAAUGGC-ACAACUUGCAUUGAAGGUUGGCAA-UACUAAUA--------GCAAUUCUCCGUGCCUAUCAAAUCUUGAUUUCAUUUUGAUU--AUGGCCUCGAACAAGUUGCUACAUU +AASG02009944.1/1753-1868 GAGCAAAUGCGUC--------GA----AAAUGGC-GAAAUUUGCAUUGAAGGUUGGCAAUAUCAA-UA--------GCAAUUCUCCGUGCCUAUUAAAUCGAUCAUUUUGA--UUAU----GGCCUCGAACAAGUUGCAACAGU +AACV01024246.1/8981-8858 GAGCAAAGGGGCC--AGA---UG----CAGUGGC-UAUCUUUGCAUUGAAGGUUGGCGACAACGAACAAAC-----GCAGUUCUCCGUGCCGCUCAGAUUUUCUCUGUUUUGUG-AC----GGCCUCGAACAAGCUGCUACAUC +AARH01010162.1/241821-241954 GAGCAAGGACGUCAAGAA---AAAAG-AGAUGGC-GUGAUUUGCAUUGAAGGUUGGCUAUAUCAAUGAUAAAAUUGGCGAUUCUCCGUGCCUGUCAAAUCUGUUCAUUUUGAUC-AU----GGCCUCGAACAAGUCGCUACAAA +AL731740.4/7530-7650 GAGCAAAGGGGCC--UGA---UA----AAGUGGC-GAUCUUUGGAUUGAAGGUUGGCGACAACGA-UU--------GCAGUUCUCCGUGCCGCUCAGAUUUUCCUCUCUUUUGUGAC----GGCCUCGAACAAGCUGCUACAUC +AC007767.3/47035-47162 GAGCAAGGGCGUC-UAGU---UU----AAAUGAC-GUGAGUUGCCUUGAAGGUUGGCGAUAACAAGUUUU------GCGAUUCUCCGUGCCUAUCAAAUUUUGUUUUUCGUAUUGAU-AAUGGCCUCGAACAAGUCGCUACAUU +AASG02009944.1/2138-2259 GAGCAAGAGUGUC--------UA----AAAUGACUACAACUUGCAUUGAAGGU-GGCCA-UAUCAAUA--------GCAAUUCUCCGUGCCUAUCAAAUCUCUUAAUUUCAUUUUGAUUAUGGCCUCGAACAAGUUGCUACAUU +AM448130.2/819-690 GAGCAAAGGCGUCGAAUA---AAAGAGAAAUGAC-GCAAUUUGCCUUGAAGGUUGGCGAUAAGGAAAAAUG-----GCGAUUCUCCGUGCCUGUCAAUCAUUUUUAUUUUGAUC-AU----GGCCUCGAACAAGUCGCUACAUU +AC189297.2/132599-132725 GAGCAAUGACGUCAAAAUAUAAA----AAAUGGC-GUGAGUUGCCUUGAAGGUUGGCAAUAACAAUAA--------GCGAUUCUCCGUGCCUAUCAAGUUUUCUUUAUACUGAUUGC----GGCCUCGAACAAGUCGCUACAUU +#=GC SS_cons ::::::::<<<<<.____...__....____>>>.>>:::<<<<<_________>>>>>:::::::::........<<<<<<------<<<__________________________....>>>-------->>>>>>:::::: +#=GC RF GAGCAAaGgcGcC.aaaa...aA....AAAUGgC.gcaAuUuGCcUUGAAGGUUgGCaAuAAcaAauA........GCgauUCUCCGUGCCuaUCAAaUuUuuuuuUuuuuauuuau....GGCCUCGAACAAgucGCUACAUu +// diff --git a/raw_data/life/L017/0012-RF01793.stockholm b/raw_data/life/L017/0012-RF01793.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..eddc7423e241ead9dc818d2b75014105a774fe11 --- /dev/null +++ b/raw_data/life/L017/0012-RF01793.stockholm @@ -0,0 +1,118 @@ +# STOCKHOLM 1.0 +#=GF ID ffh +#=GF AC RF01793 +#=GF DE ffh sRNA +#=GF AU Meyer MM; 0000-0001-7014-9271 +#=GF GA 35.0 +#=GF NC 34.9 +#=GF TC 35.0 +#=GF SE Published; PMID:19531245 +#=GF SS Published; PMID:19531245 +#=GF TP Gene; sRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 29.24 -Z 2958934 CM SEQDB +#=GF DR SO; 0000370; small_regulatory_ncRNA; +#=GF RN [1] +#=GF RM 19531245 +#=GF RT Identification of candidate structured RNAs in the marine organism +#=GF RT 'Candidatus Pelagibacter ubique'. +#=GF RA Meyer MM, Ames TD, Smith DP, Weinberg Z, Schwalbach MS, Giovannoni SJ, +#=GF RA Breaker RR +#=GF RL BMC Genomics. 2009;10:268. +#=GF WK Pelagibacter_ubique +#=GF ** seedtax: Bacteria; unclassified sequences +#=GF SQ 89 + +ABEF01041528.1/252-304 -AAA-CAAA---GGUAUCG-ACACUAGU-CAGCGAGGGUUCGCCCACUAGUGC-GAUU-UUU +ABID01000001.1/620465-620516 UGACGUCG-----GGAUCG-CCCCCAGU-CAGCGCGU-UGCGCCCACUGGGGC-AUUU-GUG +CP000830.1/337335-337284 CUGUGCAG-----GGAUCG-CCACCCGU-CAGCGCGU-UGCGCCCACGGGUGC-CUUU-CCG +CP000264.1/722337-722286 CGUCCGCA-----GGAUCG-CCCCCCGU-CAGCGAGU-UUCGCCCACGGGGGC-AAAU-CUC +ABXE01000005.1/474503-474554 UUGCAUGA-----GGAUCG-CCACCAGU-CAGCGCGU-CGCGCCCACUGGUGC-GUUU-CUC +AATR01000007.1/128120-128172 CGGUCUCA-----GGAUCG-ACAUCAGU-CAGCGAGU-UUCGCCCACUGGUGUUAAUU-GCG +CP000577.1/2858994-2858943 CACGACCG-----GGAUCG-CCACCCAU-CAGCGCGA-UGCGCCCAUGGGUGC-CGUU-GUG +ABVS01000001.1/307524-307576 AAACAAAG-----AGAUCG-ACACUAGU-CAGCGAGGCUUCGCCCACUAGUGC-GAUU-ACU +ABSK01000020.1/158486-158537 CCACGCAA-----GGAUCG-CCCCCAGU-CAGCGCGU-UGCGCCCACUGGGGU-UAAA-CUG +AAMO01000005.1/155351-155300 CGUUGCGG-----GGAUCG-CCACCAGU-CAGCGCGU-CGCGCCCACUGGUGC-AAUC-GUC +AAOT01000022.1/32279-32331 GCCCGUCG-----GGAUCG-CCCCCCGU-CAGCGAGCGUUCGCCCACGGGGGC-GUUU-GCC +CP000084.1/260256-260205 AAACAAAG-----AGAUCA-ACACUAGU-CAGCGAUA-UUCGCCCACUAGUGC-GAAA-CUG +ABSH01000046.1/28800-28749 UAGACUGA-----GGAUCG-CCCCCCGU-CAGCGCGU-UGCGCCCACGGGGGC-UCUA-CUG +ABCL01000001.1/633361-633412 CUGUGUCG-----GGAUCG-CCCCCCGU-CAGCGCGU-UGCGCCCACGGGGGC-GUUU-AUC +ACOA01000003.1/1141569-1141620 AUGUUCAG-----GGAUCG-CCCCCCAC-CAGCGAGU-UUCGCCCGUGGGGGC-AUUU-GUG +CP000661.1/172455-172506 CUUGUCCG-----GGAUCG-CCACCCAU-CAGCGCGA-UGCGCCCAUGGGUGC-CGUU-GUU +AATQ01000012.1/82408-82357 UUUGCCCG-----GGAUCG-CCCUCCGU-CAGCGCGU-UGCGCCCACGGGGGC-CAUU-CUG +CP000490.1/1013005-1013056 CUUGCCGG-----GGAUCG-CCCCCCGU-CAGCGCGU-UGCGCCCACGGGGGC-GUUA-CUG +AAMS01000004.1/308726-308675 CAUUCAGG-----GGAUCG-CCCUCCGU-CAGCGCGU-UGCGCCCACGGGGGC-GUUC-CUG +AAMT01000001.1/87588-87537 UUAUGCCG-----GGAUCG-CCCUCCGU-CAGCGCGU-UGCGCCCACGGGGGC-GCUA-CUG +ABCR01000008.1/127115-127064 UUUGGCCG-----GGAUCG-CCCCCCGU-CAGCGCGU-UGCGCCCACGGGGGA-GAUU-GGC +AAYA01000021.1/1331-1382 AUGGCCCG-----GGAUCG-CCCUCCGU-CAGCGCGU-UGCGCCCACGGGGGC-AUUU-CCG +ABXS01000046.1/690533-690482 GCAGCCAA-----AGAUCG-ACCCCCAC-CAGCGUGU-UACGCCCGUGGGGGC-AUUU-GUG +AALY01000001.1/1810888-1810837 CCUGCCCG-----GGAUCG-CCCCCCAC-CAGCGCGU-UGCGCCCGUGGGGGC-AAUU-GUG +ACNW01000095.1/91055-91106 UAUGCCCG-----GGAUCG-CCCUCCGU-CAGCGCGU-UGCGCCCACGGGGGC-UGUU-UCG +ACCW01000020.1/70965-70914 UCGUUCAG-----GGAUCG-CCCCCCAC-CAGCGAGU-UUCGCCCGUGGGGGC-AAUG-CCA +CP000362.1/1269963-1269912 UGCAACCG-----GGAUCG-CCCUCCGU-CAGCGCGU-UGCGCCCACGGGGGC-AAAA-CCA +AAXZ01000001.1/683078-683027 GAUGCUUG-----GGAUCG-CCCUCCAC-CAGCGUGU-UACGCCCGUGGGGGC-GUUU-GUG +AAYB01000002.1/428943-428892 AUAUCAGG-----GGAUCG-CCCUCCGU-CAGCGCGU-CGCGCCCACGGGGGC-GCUA-CUG +AALV01000001.1/423960-424011 GCGGCCAG-----AGAUCG-CCCCCCAC-CAGCGUGU-UACGCCCGUGGGGGC-AUUU-GCG +AANB01000002.1/544189-544138 CUUGUCGG-----GGAUCG-CCCUCCAC-CAGCGUGU-UACGCCCGUGGGGGC-AAUU-GCG +CP000377.1/2739930-2739981 UUUGCCAG-----GGAUCG-CCCUCCAC-CAGCGCGU-UGCGCCCGUGGGGGC-AAAC-CUU +ABIE01000022.1/29479-29428 AUUGCCGG-----GGAUCG-CCCUCCAC-CAGCGUGU-UACGCCCGUGGGGGU-GAUU-GCG +ABXL01000036.1/20582-20633 GAUCCCAG-----AGGUCA-ACACCCGA-CAGCGCGA-UGCGCCCUCGGGUGA-UUUU-UUG +CP000628.1/3527839-3527890 GAUCCCGG-----AGGUCA-ACACCCGA-CAGCGCGU-UGCGCCCUCGGGUGC-UUUU-UGG +ABOG01005133.1/88-35 GAAUUCCA-----GGAUCG-CCCCCCGUCCAGCGAGGUUUCGCUCACGGGGGU-AUUG-GUG +ABIA02000001.1/8978-8927 GAUCCCGG-----AGGUCA-CCACCCGA-CAGCGCGA-UGCGCCCUCGGGUGU-UGUU-UGG +AP009384.1/4516671-4516722 GGGUCCGG-----AGGUCA-CCGCCCGA-CAGCGCGU-UGCGCCCUCGGGCGC-GUUU-CUC +AL591688.1/3522329-3522379 GAGCCCGG-----AGGUCA-ACACCCGA-CAGCGCGU-UGCGCCCUCGGGUG--GUUU-UUG +CP000633.1/3538560-3538610 GUUCCCGG-----AGGUCA-ACACCCGA-CAGCGCGA-UGCGCCCUCGGGUG--AUUU-UUG +CP000494.1/368234-368183 GAGGCCGG-----AGGUCA-ACGCCCGA-CAGCGCUA-UGCGCCCUCGGGCGC-AAAU-GUG +CP000250.1/397403-397351 GAGACCGG-----AGGUCA-ACGCCCGA-CAGCGCGA-UGCGCCCUCGGGCGC-CAUAAGUG +CP000781.1/1675762-1675712 GGGUCCGG-----AGGUCA-CCGCCCGA-CAGCGCGU-UGCGCCCUCGGGCGC-GAU--CUG +AAFX01130413.1/507-455 GCGCCCAA-----GGGUGC-ACGCCGGU-CAGCGAGGUUUCGCCCACCGGCGU-CUUU-GUC +CP001096.1/263306-263254 GAGGCCGG-----AGGUCA-ACGUCCGA-CAGCGCGA-UGCGCCCUCGGGCGC-AAUAAGUG +CP000758.1/1121355-1121406 GAUCCCGG-----AGGUCC-ACAUCCGA-CAGCGCGA-UGCGCCCUCGGGUGC-UGUA-UCG +CP000283.1/583300-583249 GAGGCCGG-----AGGUCA-ACGCCCGA-CAGCGCGA-UGCGCCCUCGGGCGC-GAAC-GUG +ACCU01000015.1/1002967-1002917 UUCCCGGA-----GGUUC--ACAUCCGA-CAGCGCGA-UGCGCCCUCGGGUGU-CAAA-CUG +CP001488.1/1778730-1778679 GAUCCCGG-----AGGUCC-ACACCCGA-CAGCGCGA-UGCGCCCUCGGGUGC-CGUG-ACC +AACY023196554.1/144-92 CAUGUUCA-----GGAUCG-CCCCCCGU-CAGCGAGGUUUCGCCCACGGGGUC-AAUU-UUG +AACY023876466.1/1379-1328 -----UAGCAGUUGGAUCG-CCCCCCGU-CAGCGAGU-UUCGCCCACGGGGGU-AAUU-ACG +AACY020558092.1/912-963 UAAC----AG-UUGGAUCG-CCCCCCGU-CAGCGAGU-UUCGCCCACGGGGGUAAGU--GGG +AACY020314903.1/269-217 GGUCCAUA-----AGAUCG-CCGUUCGU-CAACGAGGCUUCGUACACGAACGC-AAUA-CUU +AACY020277128.1/1252-1200 UUCAAAAG-----GAAUCG-CCAUCCGU-CAACGAGGGUUCGUCCACGGAUGC-UUUU-GUU +AACY023061866.1/133-185 UUCACAAU-----GAAUCG-CCAUCCGU-CAACGAGGGUUCGUCCACGGAUGU-UUUU-GUU +EU016673.1/15743-15714 ---------------------CACUAGU-CAGCGAGGGUUCGCCCACUAGUG---------- +AACY023081810.1/148-96 UUCACAAU-----GAAUCG-CCAUCCGU-CAACGAGGGUUCGUCCACGGGUGC-UUUU-GUU +AACY020537384.1/5298-5349 GAUCGCGG-----GGAUC-ACCACCGGU-CGGCGAGU-UUCGCCCACCGGUG--CAUUUUGC +AACY021910620.1/877-825 UUCACAGU-----GAAUCG-CCAUCCGU-CAACGAGGGUUCGUCCACGGAUGC-UUUU-GUU +AACY022176703.1/377-428 CCCUCUUU-----GGAUCU-ACAUCCGU-CAGCGUUG-UACGCCCGCGGGUGC-CAUU-ACG +AAFX01131867.1/488-457 ------------------A-CCGCCCGA-CAGCGCAA-UGCGCCCUCGGGCGU--------- +AACY023681284.1/528-562 -----------------CG-ACACUAGU-CAGCGAGGCUUCGCCCACUAGUGC-G------- +AACY020533898.1/2363-2414 UUGGGCAG-----GGAUCG-CCCCCCGU-CAGCGCGU-UGCGCCCACGGGGGC-GUCU-GUG +AACY020307803.1/379-431 AAGUGCCG-----GGAUCGCCCCCCCAC-CAGCGUGU-UACGCCCGUGGGGGC-GCUU-GUG +AACY021683092.1/259-208 UUGCCCAA-----GGAUCG-CCACCCGU-CAGCGCGU-UGCGCCCACGGGUGC-GUUU-UUG +AACY020400269.1/2767-2715 -GAA-CAAA---GAGAUCG-ACACUAGU-CAGCGAGGGUUCGCCCACUAGUGC-GAUUACU- +AACY020080831.1/570-622 GGUCCAAA-----AGAUCG-CCGUUCGU-CAACGAGGCUUCGUACACGAACGC-GAUA-CUU +AAYC01000003.1/36039-36090 CCUGUCAG-----GGAUCG-CCCCCCAC-CAGCGUGU-UACGCCCGUGGGGGC-AAUU-CUG +CP000031.1/3449415-3449466 UUGUCCGG-----GGAUCG-CCCUCCAC-CAGCGUGU-UACGCCCGUGGAGGC-GAUU-GUG +ABXM01000014.1/117294-117243 CGUGCCAG-----GGAUCG-CCCCCCAC-CAGCGUGU-UACGCCCGUGGGGGC-AAUU-GCG +ABXF01000044.1/222593-222644 CGUGCCAG-----GGAUCG-CCCCCCAC-CAGCGUGU-UACGCCCGUGGGGGC-AAAC-UCG +ACNZ01000021.1/2003-2054 UGGGUCGG-----GGAUCG-CCCUCCAC-CAGCGCGU-UGCGCCCGUGGGGGC-AAAC-CUU +CP000390.1/3614033-3613982 GAUCCCGG-----AGGUCA-ACACCCGG-CAGCGCAA-UGCGCCCCCGGGUGC-UUUU-CGG +AAUW01000013.1/152797-152746 GAUCCCGG-----AGGUUA-CCAUCCGA-CAGCGCGU-UGCGCCCUCGGGUGU-CAAA-CUG +CP001029.1/673842-673894 GAGGCCGG-----AGGUCA-ACGUCCGA-CAGCGCGUCUGCGCCCUCGGGCGC-CCUU-GUC +CP000524.1/76871-76922 GAUCCCAG-----AGGUCA-ACACCCGA-CGACGCGU-UGCGUUCUCGGGUGU-UAUU-UUG +CP000463.1/366625-366676 GAGACCGG-----AGGUUA-ACGCCCGA-CAGCGCUG-UGCGCCCUCGGGCGC-AAAA-UUG +BA000012.4/3476818-3476869 GAUCCUGG-----AGGCCA-ACACCCGG-CAGCGCAA-UGCGCCCCCGGGUGC-UUUU-UGG +ABPX01008569.1/496-547 AGGAGACA-----GAAUGA-CCAUCCGC-CAGCGCGU-UGCGCCCGCGGGUGC-UGCU-UUG +CP000115.1/3019357-3019408 GGGGCCGG-----AGGUCA-ACGCCCGA-CAGCGCUG-UGCGCCCUCGGGCGC-AAAC-GUG +CP000738.1/3241936-3241986 GAGCCAGG-----AGGUCA-ACAUCCGA-CAGCGCGU-GGCGCCCUCGGGUG--GUUU-UUG +CP001196.1/260758-260809 GACGCCGG-----AGGCCA-ACGCCCGA-CAGCGCUG-UGCGCCCUCGGGCGU-AAAC-GUG +CP001001.1/3845723-3845671 GAGGCCGG-----AGGUCA-ACGCCCGA-CAGCGCGUCCGCGCCCUCGGGCGC-GAUG-GGC +AM260525.1/2496302-2496251 GAUCUCAG-----AGGUCA-ACAUUCGA-CGGCGCGA-UGCGUUCUCGGGUGC-UAUU-UUG +BX897700.1/1505050-1504999 GAUCUCAG-----AGGUCA-ACAUCCGA-CGGCGCGA-UGCGUUCUCGGAUGC-CACU-UUA +AATP01000001.1/786255-786204 CCGCCCGG-----AGGUCA-CCAUCCGC-CAGCGAGU-UUCGCCCGCGGAUGG-CGUU-UUG +BX897699.1/1849078-1849027 GAUCUCAG-----AGGUCA-ACAUCCGA-CGGCGCGG-UGCGUUCUCGGAUGC-UGCU-UUG +CP001349.1/2975644-2975695 GAGGCUGG-----AGGCCA-ACGCCCGA-CAGCGCGA-UGCGCCCUCGGGCGC-GUCC-GGC +CP001016.1/3804515-3804563 AAACCCCG-----G---CC-ACGCCCGG-CAGCGCGU-UGCGCCCCCGGGCGC-GUUU-UGC +#=GC SS_cons ::::::::.....::::::.:<<<<<<<.--<<<<__._>>>>-->>>>>>>:.::::.::: +#=GC RF gaucCCgG.....GGAUCG.CCaCCCGu.CAGCGCGu.UGCGCCCaCGGGuGC.aaUU.gUG +// diff --git a/raw_data/life/L017/0013-RF03167.stockholm b/raw_data/life/L017/0013-RF03167.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..55484450d4950e5ee9a2c6c1f479ff0c662d33fc --- /dev/null +++ b/raw_data/life/L017/0013-RF03167.stockholm @@ -0,0 +1,103 @@ +# STOCKHOLM 1.0 +#=GF ID c-di-GMP-I-GGC +#=GF AC RF03167 +#=GF DE c-di-GMP-I-GGC riboswitch aptamer +#=GF AU Ontiveros-Palacios N; 0000-0001-8457-4455 +#=GF GA 59.0 +#=GF NC 58.9 +#=GF TC 59.0 +#=GF SE Published; PMID:28265071 +#=GF SS Published; PMID:28265071 +#=GF TP Cis-reg; riboswitch; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF CL CL00126 +#=GF DR GO; 0035438; cyclic-di-GMP binding; +#=GF DR SO; 0000035; riboswitch; +#=GF RN [1] +#=GF RM 28265071 +#=GF RT Bioinformatic analysis of riboswitch structures uncovers variant classes +#=GF RT with altered ligand specificity. +#=GF RA Weinberg Z, Nelson JW, Lunse CE, Sherlock ME, Breaker RR +#=GF RL Proc Natl Acad Sci U S A. 2017;114:E2077. +#=GF RN [2] +#=GF RM 19898478 +#=GF RT Recognition of the bacterial second messenger cyclic diguanylate by its +#=GF RT cognate riboswitch. +#=GF RA Kulshina N, Baird NJ, Ferre-D'Amare AR +#=GF RL Nat Struct Mol Biol. 2009;16:1212-1217. +#=GF RN [3] +#=GF RM 22148472 +#=GF RT Structural and biochemical characterization of linear dinucleotide +#=GF RT analogues bound to the c-di-GMP-I aptamer. +#=GF RA Smith KD, Lipchock SV, Strobel SA +#=GF RL Biochemistry. 2012;51:425-432. +#=GF RN [4] +#=GF RM 20690679 +#=GF RT Structural and biochemical determinants of ligand binding by the c-di-GMP +#=GF RT riboswitch . +#=GF RA Smith KD, Lipchock SV, Livingston AL, Shanahan CA, Strobel SA +#=GF RL Biochemistry. 2010;49:7351-7359. +#=GF RN [5] +#=GF RM 19898477 +#=GF RT Structural basis of ligand binding by a c-di-GMP riboswitch. +#=GF RA Smith KD, Lipchock SV, Ames TD, Wang J, Breaker RR, Strobel SA +#=GF RL Nat Struct Mol Biol. 2009;16:1218-1223. +#=GF CC c-di-MP-I-GGC is a variant of c-di-GMPI riboswitch RF01051, that includes +#=GF CC CORESEQ GGC. The structure of c-di-MP-I-GGC riboswitch has been reported +#=GF CC in PDB: 3IRW, 3MXH, 3UCU, 3UCZ, 3IWN [2, 3, 4, 5]. +#=GF WK Cyclic_di-GMP-I_riboswitch +#=GF SQ 40 + +URS0000D66F14_12908/1-152 ---CACGACAAAGGCAAAUCCGUCGAAAGA-CG-GAGACGCGC--AGCCC-U-UG-----------ACGCGUCGGCGUUGCGCUGAUGCGUCUGGUACUCUAGAUACUGCAUAUCUGCUCGCUCGCACUCUCCACAUGACGCAUUGGGAUGCCCAA-----------AGCAA-AGCUGCUGUU-U- +URS0000D670CA_12908/1-90 ---GGUUCAGUGGGCGCACUCAUCGAAAGA-UG-AGGGCGCGA--AGCCG-A-AUGUCCUCCGGGUUGGACA------------------------------------------------------------------------------------ACCCAAGG-ACAGCUUAGGUUGCCACC-C- +URS0000D6A7FB_12908/1-138 ---UUCGAUAAAGCCGAACCCAUCGAAAGA-UG-GGGACGGGA--AACCA-C-AAGUUUCAGAUAGUUUCGUUGAUUCAAGCUCCUAGUUUUUUUGGCGCUUCCUUAAGAUCUUGAUUCUCUACU------------------------------------AAACAGUAUUG-AGCUGCAGCG-C- +URS0000D66689_12908/1-76 ---GUCCGAAAGGGCAGACUGUCGGCGACG-GC-AGGACGCGA--AGCCU-C-CGGGC------UCGCAA--------------------------------------------------------------------------------------GA-----G-CUAGCGG-GGCCGCCAGG-A- +URS0000D67EE2_12908/1-83 ---AAUAAAAAAGGUACAUCUGUCGAAAGU-UU-GGGGCGCGA--AGCCG-C-GGAUU--------UAAUACGACAGCUGC----------------------------------------------------------------------------------G-AUGAGCG-GGCUACCGUG-G- +URS0000D69D4A_12908/1-80 ---UCUGCCAGAGGCACACUCGUCGCCAGG-CG-AGGGCGCGA--AGCUA-C-CCGUC----C---CGAUCGUGAC-----------------------------------------------------------------------------------G---G-ACAGUGG-GGUUGCCGCG-G- +URS0000D6955D_12908/1-88 ---GUUGAAAAAGGUACACUAUCCCAAAGG-GU-AGGCCGCGA--AGUUU-U-GGGUCUAAAUCACUUUUA-------------------------------------------------------------------------------------GUGACAUG-AUUGCCA-AGCUGCCGAU-U- +URS0000D68578_12908/1-91 ---UUGCUGAAGGACAAACCUUCCGAAAGG-UU-GGGACGCGA--AGCUU-C-CGAUCUAAGUCCGUUUUAAG-----------------------------------------------------------------------------------CGGAUAAG-AUAACGGGAGUUACUACG-C- +URS0000D6C268_12908/1-85 ---AUAGCCUUCGGUAAACCCUCUGAAAGGAGG-GGGGCACGA--AGCCA-U-GGGUCUAAAGU--AUUCA---------------------------------------------------------------------------------------GCUAUG-AUCGCCG-GGCUGCAGCA-A- +URS0000D6C9B1_12908/1-89 ---ACCGAAAAAGG-AAACAACCCGAAAGG-GU-UGGACGCGA--AGCAA-C-UGACCUAAGUCCGGAUUUUA-----------------------------------------------------------------------------------AGGAUACG-GUAGCAG-GGCUGCCGGA-C- +URS0000D65E51_12908/1-76 ---AAUAUUCUCGGCAAAACAGUCGAAAGG-CU-GUGACGCGA--AGCUA-CAGGGCCUGUA----AA---------------------------------------------------------------------------------------------AUG-GCAGCC--AGCUGCUUCU-C- +URS0000D6B4D3_1262879/1-76 ---CGAAUUAUGGGCAGAUCAGUCGAGAGU-CU-GAGACGCGA--AGCUA-GAGCGCC--------UGUAACAU-----------------------------------------------------------------------------------------G-GCAGUA--AGCCGCUACG-U- +URS0000D6C163_12908/1-89 ---CUCAAAAAUGGCAAACCCAGCGAAAGC-UG-GGGCUGCGA--AGCUG-A-UGAUCUAAGGUGUCUUAUG------------------------------------------------------------------------------------GCACUAUG-AUGGUCU-GGCUGCUAAA-A- +URS0000D69746_12908/1-92 ---UGACGAAACGCCACACCCGGAGCAAUC-CG-GGGCCGGGA--AGCUA-C-GGGCUC---CACCACGGGCUUUCAAUCU---------------------------------------------------------------------------GGUG---G-GCCGCCG-AGCCGCCGAA-C- +URS0000D6BB36_12908/1-79 ---UUUUGUUGUGCCAAACUUGCUGUGAAG-CA-AGGACGGGA--AGCUA-U-GGGUC----UUA-GAUAA--------------------------------------------------------------------------------------UAA---G-AUUGCCA-GGUUGCCAAA-A- +URS0000D693CF_12908/1-89 ---CCCGACCAAGGCACACCGCUCGAAAGG-GC-GGCUCGCGA--AGCCA-C-GGGCCUUCCACCGCAACCG------------------------------------------------------------------------------------CGGUCACG-GCAGCCG-GGCCACCGCA-G- +URS0000D66693_12908/1-91 ---GCCGAUAAAGGCUAACCUCUCGAAAGA-GA-GGAGAGCGCAAAGCCA-C-GGGUCUAAGGCUCCGAUUU------------------------------------------------------------------------------------GAGCUAUG-GCUACCG-GGUUGCCGAA-G- +URS0000D6B29D_12908/1-77 ---UGCGACAAAGGCAACCCCGUCGCAAGA-UG-GGUGAGCGCAAAGCCA-C-GGGCC--------UCUAAGA------------------------------------------------------------------------------------------G-GCAGCCG-GGAUACCGAA-C- +URS0000D6B429_12908/1-77 ---UGCGACAAAGGCAACCCCGCCGCAAGG-CG-GGUGAGCGCAAAGCCA-C-GGGCC--------UCAAAGA------------------------------------------------------------------------------------------G-GCAGCCG-GGCUACCGAA-C- +URS0000D6571B_12908/1-77 ---UGCGACAAAGGCAACCCCGCCGCGAGG-CG-GGUGAGCGCAAAGCCA-C-GGGCC--------UCAAAGA------------------------------------------------------------------------------------------G-GCAGCCG-GGUUACCGAA-C- +URS0000D667CA_12908/1-88 ---CCUCGAAAUGGCAAACCCGGCGAAAGC-CG-GGGACGCGA--AGCCA-C-GGUCCCUCACUCUACUUG-------------------------------------------------------------------------------------AGAGACGG-GAAGCCG-AGCUACCGAA-A- +URS0000D6C0F5_12908/1-78 ---UUUGCUAGAGCCAAAUCUUUUGUAAAGCAG-GGGAAGGGA--AACCA-C-AGGUC--------UUAAAUGAA----------------------------------------------------------------------------------------G-AUAGCUG-GGUUGCCAUA-A- +URS0000D67D5C_12908/1-88 ---ACCGCCCAGGGCAAACCCGGCGUGAGU-CG-GGGACGCGA--AGCCA-G-GGAUC----UUCGAGAAGGAAUGUU------------------------------------------------------------------------------CGAA---G-ACCGCCC-GGUUGCCGGA-G- +URS0000D699CD_12908/1-73 ---CAAGAUAAAGCCAAACCUGCCGUGAGA-CA-GGG-CGGGA--AGCAA-C-GGGUC--------UCAAUA-------------------------------------------------------------------------------------------G-AUAGCCG-AGUUGCCUCU-U- +URS0000D6CE47_12908/1-74 ---CAAGGUAAAGCCAAACUUGUCGUAAGG-CA-GGGACGGGA--AGCUA-C-GGGUC--------UCAACU-------------------------------------------------------------------------------------------G-AUAGCCG-AGCUACCUUG-G- +URS0000D6858C_12908/1-76 ---CGAGGAUAAGCCAAAUCUGCCGAAAGA-CA-UGGACGGGG--AAUUA-C-GGGUC--------UUAUCGGA-----------------------------------------------------------------------------------------G-AUAACUG-GAUUGCCUUA-A- +URS0000D66165_12908/1-75 ---CAAGAGAAAGCCAAACCUGCCGUAAGG-UA-GGGACGAGG--AAUCA-C-AGAUU--------UCUUUGA------------------------------------------------------------------------------------------A-AUAGCCG-AGUUGCCUUG-A- +URS0000D67A64_12908/1-75 ---CAAGAAAAAGCCAAACCUGCCGCAAGA-CA-GGGACGAGG--AAUCA-CAGGUUU--------CUUUGA-------------------------------------------------------------------------------------------A-AUAGCCG-AGUUGCCUUG-A- +URS0000D6A3DC_12908/1-77 ---AAAGAAAAAGCCAAACCUGCCGCAAGA-CA-GGGACGGGG--AAUUA-C-GGGUC--------UUAUAAAAA----------------------------------------------------------------------------------------U-AUUGCCG-GUUUGCCUUG-A- +URS0000D674D6_12908/1-78 ---CCCGACAAAGCCAAACCCUCCGAGAGA-AG-GGGGCGGGA--AGCGG-C-GGGCU----UUA-ACAA---------------------------------------------------------------------------------------UAA---G-AUGGCCG-AGCUGCCGAA-G- +URS0000D6C2A1_12908/1-109 ---AACGACAAAGCCAAACCCGUCGAGAGA-CG-GGAAAGGGA--AACUA-C-GGGUG----UUCGCAUCCUCGGCGACGUUCUAUCGCC----------------------------------------------------------ACGAAGGACGCAA--G-AUCGCCC-GGCUGCCGAA-G- +URS0000D69DD4_12908/1-106 ---AGCGAAAAGGGCAAACCCGGCGAAAGC-CG-GGGACGCGAA-AGCCG-U-GAGUCUAAGGCAUUCGUGCACCGCUUCGGGCACGG--------------------------------------------------------------------GUGCUAUG-ACCGUCA-GGUUGCCGCU-C- +URS0000D65DAE_12908/1-84 ---AGCUACAAGGCCAAACCCGUCGUGAGA-CGGGGGACGGGAA-AACCA-U-GGGUC----UCCAGCUUGC------------------------------------------------------------------------------------UGGA---G-AUCGCCA-GGUUGCCGGU-U- +URS0000D65EEA_12908/1-79 ---CCUGACAAAGCUAACCUUUCCGUGUGA-AG-GGGAUAGGA--AGUAU-U-GGGUU--------UUAUGAAGGUA--------------------------------------------------------------------------------------G-AUGGCCG-AACUGCCGAA-A- +URS0000D660DF_12908/1-89 ---CCCAUCAAGGGUAAGCCCGGCAAAAUC-CG-GGGGAGCGA--AGCUAAG-GGAUCUGAGACGGUUAAU-------------------------------------------------------------------------------------CUGCUAUG-GUAGCCC-GGCUGCUGGG-A- +URS0000D69479_12908/1-85 ---CCACGAUUAGGCAAACCCUGCAAAAGC-AG-GGGGCGCGA--AGCUA-AAGGGCCUAAGGGC-AAAA---------------------------------------------------------------------------------------GCCUAUG-GCAGCC--AGUUGCCGAC-G- +URS0000D683BF_12908/1-150 ---CCUCGAAGAGGCAAACUCCGGGUCACC-GG-AGGACGCGA--AGCCA-C-GGGCU--------CUCAAAGACAGUGGAACGUUGACAGUGGAACGUUGAACGUCAAACGCCUUCCACUGAAACGUUCAACGUUCCACUGUGUUCC---------------G-GAAGCCG-GGCUGCCGAA-A- +URS0000D67B5A_12908/1-97 ---CCUCGAAAAGGCAAACUGCGCGAAAGU-GC-AGGACGCGA--AGGAA-C-GGGUC--------CUCAUCUAGUGGGAAAAGCGCUCGG---------------------------------------------------------------------CGCG-AGCGCCCCUUCUACCUAA-G- +URS000080E2D1_666/1-92 GGUCACGCACAGGGCAAACCAUUCGAAAGA-GU-GGGACGCAA--AGCCU-C-CGGCCUA----AA----CCA---UUGCAC--------------------------------------------------------------------------UCCGGUAG-GUAGCGG-GGUUACCGA-UGG +#=GR URS000080E2D1_666/1-92 3IRW_R_SS ...((((......((...((((((....)).)).))..{)).....(((..(.(((((((..........((.......................................................................................))))).)).}))).))))..))..)). +#=GR URS000080E2D1_666/1-92 3MXH_R_SS ...((((......((...((((((....)).)).))..{)).....(((..(.(((((((..........((.......................................................................................))))).)).}))).)))...))...)) +#=GR URS000080E2D1_666/1-92 3UCU_R_SS ...((((......((...((((((....)).)).))..{)).....(((..(.(((((((..........((.......................................................................................))))).)).}))).)))...))...)) +#=GR URS000080E2D1_666/1-92 3UCZ_R_SS ...((((......((...((((((....)).)).))..{)).....(((..(.(((((((..........((.......................................................................................))))).)).}))).)))...))...)) +URS000080DFCB_666/1-93 ---CACGCACAGGGCAAACCAUUCGAAAGA-GU-GGGACGCAA--AGCCU-C-CGGCCUAA-ACGGC----------AUUGCAC----------------------------------------------------------------------UCCGCCGUAG-GUAGCGG-GGUUACCGA-UGG +#=GR URS000080DFCB_666/1-93 3IWN_A_SS ...((((......((...((((((....)).)).))..{)).....(((..(.(((((((...((((..........................................................................................))))))).)).}))).)))...))...)) +#=GR URS000080DFCB_666/1-93 3IWN_B_SS ...((((......((...((((((....)).)).))..{)).....(((..(.(((((((...((((..........................................................................................))))))).)).}))).)))...))..)). +#=GC SS_cons ...(-((,,,,,,<<---<<<<<<____>>.>>.>>--A>>,,..<<<<-.<.<<<<<....___._______...................................................................................._._...>.>>-a>>>.>>>>,,))--.). +#=GC RF ...cacgaaAAAGGCAAACCcgcCGAAAGg.cg.GGGACGCGA..AgCcA.c.GGguC....ucc.uuaaaaa....................................................................................g.a...G.acAGCCg.gGcUGCcgaa.g. +#=GC RNA_ligand_c-di-GMP =========XXXX===========================XXX=======================================================================================================================================X======= +#=GC RNA_structural_elements ==[P1a]======[===========P1b============]====[==========================================================P2=====================================================================]===[P1a]== +// diff --git a/raw_data/life/L017/0014-RF01820.stockholm b/raw_data/life/L017/0014-RF01820.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..e008a50c8d693405de4da24401cafb448bfa47e9 --- /dev/null +++ b/raw_data/life/L017/0014-RF01820.stockholm @@ -0,0 +1,56 @@ +# STOCKHOLM 1.0 +#=GF ID RsaE +#=GF AC RF01820 +#=GF DE RNA Staph. aureus E (RoxS) +#=GF AU Moore B; 0000-0002-4074-1933 +#=GF GA 79.0 +#=GF NC 78.9 +#=GF TC 79.3 +#=GF PI ncr22; ncr629 +#=GF SE Published; PMID:19786493 +#=GF SS Published; PMID:19786493 +#=GF TP Gene; sRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF DR GO; 0006446; regulation of translational initiation; +#=GF DR SO; 0000370; small_regulatory_ncRNA; +#=GF RN [1] +#=GF RM 19786493 +#=GF RT A search for small noncoding RNAs in Staphylococcus aureus reveals a +#=GF RT conserved sequence motif for regulation. +#=GF RA Geissmann T, Chevalier C, Cros MJ, Boisset S, Fechter P, Noirot C, +#=GF RA Schrenzel J, Francois P, Vandenesch F, Gaspin C, Romby P +#=GF RL Nucleic Acids Res. 2009;37:7239-7257. +#=GF RN [2] +#=GF RM 25643072 +#=GF RT A nitric oxide regulated small RNA controls expression of genes involved +#=GF RT in redox homeostasis in Bacillus subtilis. +#=GF RA Durand S, Braun F, Lioliou E, Romilly C, Helfer AC, Kuhn L, Quittot N, +#=GF RA Nicolas P, Romby P, Condon C +#=GF RL PLoS Genet. 2015;11:e1004957. +#=GF CC It was shown to be regulated by the presence of nitric oxide (NO). In +#=GF CC Bacillus subtilis it controls expression of genes with functions related +#=GF CC to oxidative stress and oxidation-reduction reactions and it was renamed +#=GF CC RoxS (for related to oxidative stress).[2] +#=GF WK Rsa_RNA +#=GF SQ 15 + +ABQL01000005.1/214304-214418 GUGAAAUUGAUCACA-AA-CAAAC---A-----UU--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--GUUAA-----GACAUA--UGAAACCGCGCU---U-----AUCCCGGCGCGGUUUCUUU +ABFU01000021.1/68350-68459 GUGAAGUUGAUCACA-AA-CAAAC---A------UAUAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUU--C--GUAAA-----G-GAAA--ACCCCUUGUAAC-----------CUAGUUACAAGGGGUUU +CP000922.1/2095013-2094892 GUGAAGUGAAUCACA-AU-CAAAC---AAACUUAU--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--UUUAU-----GACAAAGAAAAAGGACUCGG---C-----AUCCCCCGAGUCCUUUUUC +ABCF01000041.1/14193-14301 AAGAAGUUGAUCACA--A-CAAAC---A------UAUAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUU-----UGUAU--------AAG--AAAACCCGUUGU---C-----UUCGGACAACGGGUUUUCU +AP009484.1/660819-660915 AUGAAAUUGAUCACA-UACCAAAC---A------U--AC--CCCUUUGUUUGA--GUGAAAGAUUUCUCCCAUCCCCUUUGU--------------------U---UAAUACCGUG-----U-----AUACAGACACGGUAUUUUU +AP008934.1/1857525-1857428 AUGAAAUUAAUCACAUAA-CAAAC---A------U--AC--CCCUUUGUUUGAA-GUGAAAAAUUUCUCCCAUCCCCUUUGU--------------------U---UAGCGCCGUGU----A-----AUCAG-ACACGGCGUUUUU +AM295250.1/605317-605414 AUGAAAUUAAUCACAUAA-CAAAC---A------U--AC--CCCUUUGUUUGAA-GUGAAAAAUUUCUCCCAUCCCCUUUGU--------------------U---UAGCGCCGUGUC---U-------GAAUACACGGCGUUUUU +CP000255.1/991517-991614 AUGAAAUUAAUCACAUAA-CAAAC---A------U--AC--CCCUUUGUUUGAA-GUGAAAAAUUUCUCCCAUCCCCUUUGU--------------------U---UAGCGUCGUG-----U-----AUUCAGACACGACGUUUUU +CP000817.1/1311650-1311762 GUGAAAUAAAUCACAAAA-CAAAC---A------U--ACACCCCUUUGUUUGAACGUGAAC-AUUUCUCCCAUCCCCUUUGU--------GAA---------AA--AGAAGCGUCUCUAUC-GGUCGAGGAUAGAGGCGUUUCUUU +ACNH01000027.1/21597-21717 GUGAACGAAUUCACA-UA-CAAAC---A------UAUAC--CCCUUUGUUUGAACGUGAAAAU-UUCUCCCAUCCCCUUUAAUAUUUUUAUAAGC-CGUAAAGA--AGAAGACCUGGU---G-----UUUACACCAGGUCUUCUUC +ACLW01000041.1/9530-9650 GUGAACGAAUUCACA-UA-CAAAC---A------UAUAC--CCCUUUGUUUGAACGUGAAAAU-UUCUCCCAUCCCCUUUAAUAUUUUUAUAAGCCGUAAAGAA--GAAGACCUGGUG---U-----UUU-ACACCAGGUCUUUUU +CP000002.3/1262536-1262653 GUGAAAUUGAUCACA-AA-CAAAC---A------UUUAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGU--CGUUAAGA-CA--UAAU--AGAAACCGCGCU---U-----AUCCCGGCGCGGUUUCUUA +ABRX01000001.1/691882-691767 GUGAAAUUAAUCACA-UA-CAAAC---A------U-UAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--GUUAA-----GACAUA-GUGAAACCGCGCU---U-----AUCCCGGCGCGGUUUCUUC +CP001638.1/846669-846782 GUGAACGAAGUCACA-AA---AACCUUA------U--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--UUGGC-----AACAAG--GAAAAGCCCGGC---------AUUCAGCCGGGCUUUUCCU +CP002472.1/906962-907066 GUGAAGUUGAUCACA-AG-CAAAC---A------U--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGU--UC--GUGUU-----G---AA--AGAGGCCUUGCA---A-----A----CGCAAGGCCUCUUU +#=GC SS_cons ::<<<<<<--<<<<-.--.<<<<<...<......_..__.._____>>>>>>--->>>>-->>>>>>:::::::::::::::<.-<.._____.....>.->::..:<<<<<<<<<<<..._....._____>>>>>>>>>>>::: +#=GC RF gUGAAauuaaUCACA.aA.CAAAC...A......U..AC..CCCUUUGUUUGAaCGUGAAAaauUUCUCCCAUCCCCUUUGUu.Uc..uuuAa.....g.aaaa..agaggccgcgcc...u.....aUuaaggcgcggccucUUu +// diff --git a/raw_data/life/L017/L017.fasta b/raw_data/life/L017/L017.fasta new file mode 100644 index 0000000000000000000000000000000000000000..b665513c990850c52a76b92273558a0c6fd2c199 --- /dev/null +++ b/raw_data/life/L017/L017.fasta @@ -0,0 +1,37 @@ +>0000 URS00005E2405 SRP_RNA from 13 species +CCGUGCUAGGUGGGGAGGUAGCGGUUCCCUGUACUCGAAAUCCGCUUUAUGCGAGACUUAAUUCCUUUGUUGAGGGCGUA +UUUUUGUGAAGUCUGCCCGAAGCACGUAGUGUUUGAAGAUUUCGGUCCUAUGCAAUAUGAACCCAUGAACCAUGUCAGGU +CCUGACGGAAGCAGCAUUAAGUGGAUCCUCAUAUGUGCCGUAGGGUAGCCGAGAUUUAGCUGUCGACUUCGGUAACGUUU +AUGAUAUGCGUUCGAUACAAAGGUGCAUGG +>0001 URS0000D66071 ncRNA from 1 species +AAAGAAAUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAUGACAAAUC +>0002 URS0000030411 tRNA from 23 species +GGGCCCAUAGCUCAGUGGUAGAGUGCCUCCUUUGCAAGGAGGAUGCCCUGGGUUCGAAUCCCAGUGGGUCCA +>0003 URS0002330452 pre_miRNA from 1 species +AUAAUCAACGAGAGUGUCAACCUGCCGCGAAGGUCUAUGAGUGGUCUGUUGCUCAUCUUUGUGUAGC +>0004 URS0000D6ADF0 ncRNA from 1 species +CGACUAGAAGGGCUGCACAAGUGGCUCGUUAGGGUUUAACCCUGUCUGGUUG +>0005 URS0000D6CFB7 ncRNA from 1 species +GUUACCACUGAGCGGUGGCUGUCGUGAGGUACUGGGGAGUACUGCUGACCGGCGGGUACCGAGUCUGGGCUACAGCCAAG +GGAAUGGGCCUGGACGUUUCAGUGAAGGAG +>0006 URS000071BEE8 other from 1 species +GUUUCCAUCCCCGUGAGGGGUAAGAGAUUAAAAAC +>0007 URS0002334CE3 pre_miRNA from 50 species +GCCUCCACCACCUCCCCUGCAAACGUCCAGUGACGCAGAGGUAAUGGACGUUGGCUCUGGUGGUGAUGGACA +>0008 URS00006CD072 snoRNA from 3 species +CGGCCAGCGAAAACACAGGCGCCGUGCUUGCAACGAUCACUUCGCCUGCACCUGUGCUGCCCCAGA +>0009 URS000067F3CB other from 1 species +GGUUUAAUCCCUUGUAGGGAUUCUUAUUUAUGGAAC +>0010 URS0000D66071 ncRNA from 1 species +AAAGAAAUCCCUUUACAACGGAUCGUGAGGCACGUACCUGCCUCUGAAAGGAUGACAAAUC +>0011 URS0000220402 snoRNA from 5 species +GAGCAAUGACGUCAAAAUAAAAAUGGCGUAAGUUGCCUUGAAGGUUGGCAACAACAAAUAGCGAUUCUCCGUGCCUAUCA +AGUUUUCUAAUCUUGAUUGUUGGCCUCGAACAAGUCGCUACAUU +>0012 URS00006C4AF3 sRNA from 1 species +AAACAAAGGUAUCGACACUAGUCAGCGAGGGUUCGCCCACUAGUGCGAUUUUU +>0013 URS0000D6A7FB ncRNA from 1 species +UUCGAUAAAGCCGAACCCAUCGAAAGAUGGGGACGGGAAACCACAAGUUUCAGAUAGUUUCGUUGAUUCAAGCUCCUAGU +UUUUUUGGCGCUUCCUUAAGAUCUUGAUUCUCUACUAAACAGUAUUGAGCUGCAGCGC +>0014 URS00007C08AA ncRNA from 12 species +GUGAAAUUGAUCACAAACAAACAUUACCCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUCGUUAAGAC +AUAUGAAACCGCGCUUAUCCCGGCGCGGUUUCUUU \ No newline at end of file diff --git a/raw_data/life/L020/.DS_Store b/raw_data/life/L020/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5d635e163bb879dd67f041eb72c9d1e7624f59f7 Binary files /dev/null and b/raw_data/life/L020/.DS_Store differ diff --git a/raw_data/life/L020/0000-RF00001.stockholm b/raw_data/life/L020/0000-RF00001.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..3643e8b335e87a6bfc6d266e30503669985ac947 --- /dev/null +++ b/raw_data/life/L020/0000-RF00001.stockholm @@ -0,0 +1,1482 @@ +# STOCKHOLM 1.0 +#=GF ID 5S_rRNA +#=GF AC RF00001 +#=GF DE 5S ribosomal RNA +#=GF AU Gardner PP; 0000-0002-7808-1213 +#=GF GA 38.0 +#=GF NC 37.9 +#=GF TC 38.0 +#=GF SE Szymanski et al, 5S ribosomal database, PMID:11752286 +#=GF SS Published; PMID:11283358 +#=GF TP Gene; rRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 24.99 -Z 2958934 CM SEQDB +#=GF CL CL00113 +#=GF DR URL; http://rose.man.poznan.pl/5SData/; +#=GF DR SO; 0000652; rRNA_5S; +#=GF DR GO; 0003735; structural constituent of ribosome; +#=GF DR GO; 0005840; ribosome; +#=GF RN [1] +#=GF RM 11752286 +#=GF RT 5S Ribosomal RNA Database. +#=GF RA Szymanski M, Barciszewska MZ, Erdmann VA, Barciszewski J +#=GF RL Nucleic Acids Res 2002;30:176-178. +#=GF RN [2] +#=GF RM 11283358 +#=GF RT Crystal structure of the ribosome at 5.5 A resolution. +#=GF RA Yusupov MM, Yusupova GZ, Baucom A, Lieberman K, Earnest TN, Cate JH, +#=GF RA Noller HF +#=GF RL Science 2001;292:883-896. +#=GF RN [3] +#=GF RM 10926492 +#=GF RT The role of the central zinc fingers of transcription factor IIIA in +#=GF RT binding to 5 S RNA. +#=GF RA Searles MA, Lu D, Klug A +#=GF RL J Mol Biol 2000;301:47-60. +#=GF RN [4] +#=GF RM 23838690 +#=GF RT Systematic analysis and evolution of 5S ribosomal DNA in metazoans. +#=GF RA Vierna J, Wehner S, Honer zu Siederdissen C, Martinez-Lage A, Marz M +#=GF RL Heredity (Edinb). 2013;111:410-421. +#=GF CC 5S ribosomal RNA (5S rRNA) is a component of the large ribosomal subunit +#=GF CC in both prokaryotes and eukaryotes. In eukaryotes, it is synthesised by +#=GF CC RNA polymerase III (the other eukaryotic rRNAs are cleaved from a 45S +#=GF CC precursor synthesised by RNA polymerase I). In Xenopus oocytes, it has +#=GF CC been shown that fingers 4-7 of the nine-zinc finger transcription factor +#=GF CC TFIIIA can bind to the central region of 5S RNA. Thus, in addition to +#=GF CC positively regulating 5S rRNA transcription, TFIIIA also stabilises 5S +#=GF CC rRNA until it is required for transcription. +#=GF WK 5S_ribosomal_RNA +#=GF SQ 712 + +X01556.1/3-118 --CUUGAC-GA-U-C-AU-AGA----GC-G-U-U-G---GA----------A-CC-A----------C--CUG----A-UC----CCUUCC------CGA-ACUCA-GA-AGUGAA-A-----------------CGACGCA-U-C--G---CC--GAUG----GUAGUGUG----GGGUUUC-C-CCAUG-UGA---G- +X55260.1/3-119 --UACGGC-GG-C-C-AU-AGC----GA-A-G-G-G---GA----------A-AU-A----------C--CCG----G-UC----CCAUCC------CGA-ACCCG-GA-AGUCAA-G-----------------CCCUUCA-G-C--G---CC--GAUG----GUACUGCAA---CCGAGAG-G-CUGUG-GGA---G- +M16174.1/3-119 --UACGGC-GG-C-C-AU-AGC----GG-C-G-G-G---GA----------A-AC-A----------C--CCG----G-UC----CCAUGC------CGA-ACCCG-GA-AGUUAA-G-----------------CCUGCCA-G-C--G---CC--GAUG----GUACUGCAA---CCGAGAG-G-CUGUG-GGA---G- +X55267.1/3-119 --UACGGC-GG-C-C-AU-AGC----GG-A-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCUCCA-G-C--G---CC--GAUG----GUACUGCAC---CCGAGAG-A-GUGUG-GGA---G- +M16172.1/3-119 --UACGGC-GG-U-C-AU-AGC----GA-A-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCUUCA-G-C--G---CC--GAUG----GUACUGCAC---UCGCCAG-G-GUGUG-GGA---G- +AF001265.1/6033-6149 --UACGGC-GG-U-C-AU-AGC----GA-A-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCUUCA-G-C--G---CC--GAUG----GUACUGCAC---UCGACGG-G-GUGUG-GGA---G- +X05057.1/3-119 --UACGGC-GG-U-C-AU-AGC----GA-A-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCUUCA-G-C--G---CC--GAUG----GUACUGCAC---UCGACAG-G-GUGUG-GGA---G- +X15126.1/3-120 --UACGGC-GG-C-C-AU-AGC----GG-A-G-G-G---GA----------A-ACCG----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCUCCA-G-C--G---CC--GAUG----GUACUGCAC---UCGACAG-G-GUGUG-GGA---G- +Z50737.1/3-119 --AACGGC-GG-U-C-AU-AGC----GG-U-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUCC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCACCA-G-C--G---CC--GAUG----GUACUGCAC---UCGUGAG-G-GUGUG-GGA---G- +X55261.1/3-119 --UACGGC-GG-U-U-AU-AGC----GG-U-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------GCCACCU-G-C--G---CC--GAUG----GUACUGCAC---UCGACAG-G-GUGUG-GGA---G- +Z50059.1/3-119 --UUCGGU-GG-U-U-UU-AGC----GU-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGACA-G-C--G---CC--GAUG----GUACUGCAA---CCGAAGG-G-UUGUG-GGA---G- +Z50061.1/3-119 --UUCGGU-GG-U-C-AU-AGC----GU-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGACA-G-C--G---CC--GAUG----GUACUGCAA---CCGAAGG-G-UUGUG-GGA---G- +Z50060.1/3-119 --UUCGGU-GG-U-U-AU-GGC----GG-U-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--GAUG----GUACUGCAC---CCCCGCG-G-GUGUG-GGA---G- +Z50075.1/3-119 --UUCGGU-GG-U-G-AU-AGC----GG-U-A-G-G---GG----------U-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--GAUG----GUACUGCAC---UCGUAGG-G-GUGUG-GGA---G- +Z50066.1/3-119 --UUCGGU-GG-U-A-AU-AGC----GG-U-G-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCACCA-G-C--G---CC--GAUG----GUACUGCAC---CCGCCGG-G-GUGUG-GGA---G- +Z50062.1/3-119 --UUCGGU-GG-U-U-AU-AGC----GG-U-G-G-G---GA----------C-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCACCA-G-C--G---CC--GAUG----GUACUGCAC---UCGAAGG-A-GUGUG-GGA---G- +Z50065.1/3-120 --UUCGGU-GG-U-C-AC-AGC----GG-UAG-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCCACCA-G-C--G---CC--GAUG----GUACUGCAC---CCGAAGG-G-GUGUG-GGA---G- +M33888.1/3-119 --UACGGC-GG-C-C-AU-AGC----GG-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--GAUG----GUACUGCAC---UCGUGAG-G-GUGUG-GGA---G- +X05526.1/2-115 --UACGGC-GG-C-C-AU-AGC----GG-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUGC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--GAUGA----UACUGCC----CCUCCGG-G-GU----GGA---A- +X75601.1/91-203 --UACGGC-GG-C-C-AC-AGC----GG-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--GAUGA----UACUGCC----CCUCCGG-G-U-----GGA---A- +X55251.1/3-116 --UACGGC-GG-UCC-AU-AGC----GG-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUCC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--GAUGA----UACUACCC---AUCCGGG-U-------GGA---A- +X55259.1/3-117 --UACGGC-GG-U-CAAU-AGC----GG-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUCC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGCCA-G-C--G---CC--AAUGA----UACUGCCC--U----CAC-C-GGGUG-GAA---A- +X55254.1/3-119 --UACGGC-GG-C-C-AU-AGC----GA-C-A-G-G---GA----------A-AC-G----------C--CCG----G-UC----CCAUUC------CGA-ACCCG-GA-AGCUAA-G-----------------CCUGUCU-G-C--G---CC--GAUG----GUACUGCAC---UCGACAG-G-GUGUG-GGA---G- +X00991.1/1-118 --GCCUAC-GA-C-C-AU-ACC----AC-C-A-U-G---AA----------U-AC-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GA-AGUUAA-G-----------------NAUGGUA-G-G--G---CC--GGGUCA--GUACCUGGA--UGGGUGAC-C-GCCUG-GGA---A- +K02348.1/1-119 --GCCUAC-GA-C-C-AU-ACC----AC-C-A-U-G---AG----------U-AU-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GG-AGUCAA-G-----------------CAUGGUC-G-G--G---CC--GGGUCA--GUACCUGGA--UGGGUGAC-C-GCCUG-GGA---A- +K02350.1/1-119 --GUCUAC-GA-C-C-AU-ACC----AC-A-A-U-G---AA----------C-AC-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GA-AGUUAA-G-----------------CAUUGUC-G-G--G---CC--AGGAUA--GUACCUGGA--UGGGGGAC-C-GCCUG-GGA---A- +K02349.1/1-119 --GUCUAC-GG-C-C-AU-ACC----AC-G-A-U-G---AA----------U-AC-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GA-AGUUAA-G-----------------CAUUGUC-G-G--G---CC--AGGAUA--GUACUUGGA--UGGGGGAC-C-GCCUG-GGA---A- +X05233.1/1-119 --GUCUAC-GG-C-C-AU-ACC----AC-C-G-G-G---AA----------A-AU-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GA-AGUCAA-G-----------------CCCGGUA-G-G--G---CC--AGGUUA--GUACUUGGA--UGGGUGAC-C-GCCUG-GGA---A- +X06837.1/1-119 --GUCUAC-GG-C-C-AU-ACC----AC-C-G-G-G---AA----------A-AA-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GA-AGUCAA-G-----------------CCCGGUA-G-G--G---CC--AGGUUA--GUACUUGGA--UGGGUGAC-C-GCCUG-GGA---A- +X01534.1/1-119 --GCCUAC-GG-C-C-AU-ACC----AC-G-U-U-G---AA----------A-AC-A----------C--CGG----U-UC----UCGUCU-------GA-UCACC-GA-AGUUAA-G-----------------CAACGUA-G-G--G---CC--UGCCCA--GUACUUGGA--UGGGUGAC-C-GCCUG-GGA---A- +X01535.1/1-119 --GUCUAC-GA-C-C-AU-ACC----AC-G-U-U-G---AA----------A-AC-A----------C--CGG----U-UC----UCGUCC-------GA-UCACC-GA-AGUUAA-G-----------------CAACGUA-G-G--G---CC--UGCCCA--GUACUUGGA--UGGGUGAC-C-GCCUG-GGA---A- +AJ243001.2/1-116 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---AUA----GC-A-AG-CU--G-CCAGUU +X06099.1/1-107 ---AUA----GC-A-AG-CU--G-CCAGUU +M29167.1/1-109 ---AUA----GC-A-AG-CU--G-CCAGUU +X06098.1/1-107 --AAUA----GG-G-CA-GU--G-CCAGGU +M35170.1/2-108 --AGUA----GG-U--A-UC--G-CCGGCC +M35168.1/2-110 --AGUA----GG-U-GA-UU--G-CCAGAC +M35167.1/2-111 --AGUA----GG-U-UA-UC--G-CCGGAC +M35169.1/2-109 --AGUC----GG-U-GA-UC--G-CCGGAU +M35164.1/2-109 --AGUA----GG-U--A-UC--G-CCGGAU +M35165.1/2-110 --AGUA----GG-U--C-UU--G-CCGGAU +M35166.1/2-110 --AGUA----GG-U--A-UC--G-CCGGAU +M36154.1/1-117 --AGUA----GG-A-CG-UC--G-CCAGGU +M36155.1/1-117 --AGUA----GG-A-CG-UC--G-CCAGGU +X13663.1/1-117 --AGUA----GA-A-CG-UU--G-CUAGGU +M33887.1/1-111 --AGUA----UG-U-CG-UC--G-CCUUUC +X52298.1/2-113 --AGUA----GG-U-CG-GU--G-CCAAAU +M33893.1/2-111 --AGUA----GG-U-CG-UC--G-CCGAGU +M33892.1/2-110 --AGUA----GG-U-CG-UC--G-CCG-AU +M33894.1/2-109 --AGUA----GG-U-CG-UC--G-CCGUAU +X52297.1/1-116 --AGUA----GG-U-CG-CU--G-CCGGAU +M35310.1/1-117 --AGUA----GG-U-CG-CU--G-CCGGAU +X52301.1/1-117 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--AGUA----GG-A-CG-CC--G-CCGAAC +X59479.1/518-634 --AGUA----GG-A-CG-CC--G-CCGAAC +X55268.1/3-119 --AGUA----GG-A-CG-CC--G-CCGAGC +X58874.1/548-664 --AGUA----GG-A-CG-CC--G-CCGAAC +X55253.1/3-119 --AGUA----GG-A-CG-CC--G-CCGAAC +M16170.1/3-119 --AGUA----GG-A-CA-CC--G-CCGGAC +M16169.1/3-119 --AGUA----GG-A-CA-CC--G-CCGGAC +M60936.1/3-119 --AGUA----GG-A-CA-CC--G-CCGGAC +S73542.1/3-119 --AGUA----GG-A-CA-CC--G-CCGGAC +X55265.1/3-119 --AGUA----GA-A-CA-CC--A-CCGAAC +M16171.1/3-119 --AGUA----GG-A-CG-CC--G-CCGGAC +X52303.1/2-118 --AGUA----GG-A-CG-CC--G-CCGGGA +D13615.1/3-119 --AGUA----GG-A-CA-CC--G-CCGGAC +M55343.1/5620-5736 --AGUA----GG-A-CG-CC--G-CCGGAC +X05516.1/3-119 --AGUA----GG-A-CG-CC--G-CCGGAC +X55263.1/3-119 --AGUA----GG-U-CG-CC--G-CCGGAC +Z50055.1/3-119 --AGUA----GG-U-CG-CC--G-CCGUAA +AF116561.1/5902-6018 --AGUA----GG-U-CG-CC--G-CCGGAC +D13619.1/3-119 --AGUA----GG-A-CG-CC--G-CCGAAC +Z50078.1/3-119 --AGUA----GG-A-CG-CC--G-CCGAAC +D13622.1/3-119 --AGUA----GG-A-CA-CC--G-CCGGAC +D13618.1/3-119 --AGUA----GG-U-CG-CC--G-CCGGAC +D13620.1/3-119 --AGUA----GG-U-CG-CC--G-CCGGAC +D13616.1/3-119 --AGUA----GG-A-CG-CC--G-CCGGAA +Z50736.1/3-119 --AGUA----GG-A-CG-CU--G-CCGAAC +D13621.1/3-119 --AGUA----GG-A-CG-CU--G-CCGAAC +Z50074.1/3-119 --AGUA----GG-A-CG-CC--G-CCGAAC +K00569.1/51-169 -UCCGG----GG-U--G-CU--G-UAGGCU +AF033641.1/428-544 --AAUA----GC-U-CG-AC--G-CCAGGA +DQ007965.1/1269-1387 --UCCC----GG-G-UG-CC--G-UGGUUC +AJ744985.1/1-109 -UAUCA----AG-U--G-CU--G-UAGGCA +DQ832176.1/170-287 --GUCC----UC-A-UG-UU--G-CAUCCC +AB019247.1/4143-4256 --GAUA----GU-U-CA-UC--G-CCAGGU +AF237329.1/306-425 -GAAUA----UA-UUAA-GC--G-CGGUUC +EF661646.1/1509-1627 -GUCCG----GG-U--G-CU--G-UCUACA +X01942.1/1-117 -AAGUA----GG-U-CG-AC--G-CUGGGU +AF158095.1/1-122 -UACCCU--CGG-G-UG-CU--G-ACAGCU +AF150518.1/228-354 -GUCCU----CG-U--G-GU--G-CAUUCC +U42342.1/183-65 -UCGGG----AG-U--G-UC--G-UAAUCU +D10536.1/1-119 -UCCUG----GG-U--G-CU--G-UAAUU- +AY924945.1/1-119 -UACCU----GG-U--G-UU--G-UAUGU- +AY544491.1/372-484 --CUC-----CG-A-AG-UU--A-AGCGUG +AY544260.1/513-620 -GUCCU----CG-U--G-UU----GCAUUC +X99089.1/298-417 -UCCGA----GG-U--G-CU--G-UAUGCU +AB045287.1/5831-5948 --AGUA----GG-U-GG-UC--G-CCAGGU +DQ178956.1/683-802 -UCCCC----AG-U--G-UU--G-UUCGUU +AY544550.1/370-493 -GUCCU----CG-U-GG-U-----GCAUUC +AY034724.1/369-476 -GUCCU----CG-U--A-UU--G-CAUUCC +AJ628165.1/1-119 -UACCU----CG-U--G-CG--C-UAAGCA +AY245251.1/371-487 --AGCA----GG-A-CG-UU--G-CCAAGC +EF091879.1/123-5 -AGCUA----GG-U--G-CU--G-UAGUUU +AF083351.1/469-590 -CCCGG----GG-U--G-UC--G-UACUCU +AY007786.1/359-476 --CCCC----AG-G-UG-UU--G-UAUUCU +AF150533.1/320-444 -GUCCU----CG-U--G-UU--G-CAUUCC +AF416766.1/2880-2994 --AGAG----GG-U-CG-CU--G-CCAGCC +AJ872266.1/17328-17444 --AGUA----GG-U--A-GC--G-CCCGGG +DQ776911.1/373-483 --CUUG----GG-C-GA-GA--G-UAGUAC +AY544288.1/150-264 -GUCCU----CG-U--G-UU--G-CAUUCC +AY547485.1/1-119 -CCCGC----GG-U--G-AU--G-UACCUC +L20049.1/222-341 -GACCA----GA-A-UG-UC--G-AUCGCC +AY544262.1/351-457 --UUUU----AG-U-GC-UG--G-UAU--- +X06056.1/924-806 -UACAC----AA-U--G-UC--C-UAGACA +AJ745020.1/1-119 -UAUCA----AG-U--G-CU--G-UAGGCA +EF064607.1/193-298 --ACCU----CG-U--G-UU--G-CAUCCC +DQ776912.1/370-490 CUAGGA----UG-G--G-UG--A-CCUCCU +AY544566.1/361-487 -GUCCU----UG-U--G-UU--G-CAUUCC +AJ390167.1/190-313 GUACUAG-GAUG-G--G-UG--A-CCUCCC +AF096716.1/373-495 --ACCAUUGCCA-C-UA-UU--G-CCAUCU +AY924923.1/1-119 -UCCUC----AG-U--G-UU--A-UAUGU- +X14817.1/224-341 -CACCG----GG-U--G-UU--G-UUGGCA +AB109769.1/5352-5468 --AGUA----GG-U-AG-UC--G-CCAAAC +AY704408.1/197-314 --AGCA----GG-U-GG-GU--G-CCAGAU +Z18289.1/4653-4769 --AGUA----GC-U-CA-GU--G-CCAAGG +AY544266.1/386-501 --ACUC----CG-A-AG-UU--AAGCGUGC +M11398.1/1543-1662 -UCCUA----GG-U--G-CU--G-UAUGUU +M74438.1/534-648 --CACC----GA-G-UG-CU--G-UAGACU +AY130476.1/307-424 --GUCC----UC-C-AA-UU--G-CAUCCC +AY544351.1/286-392 -GUCCU----CG-U-G--------UUGCAU +AF516403.1/371-484 --GUUA----AG-C-G---U--G-CUUGGG +AY305327.1/3653-3773 -GUCCUU--AGG-G-UG-CU--G-CUGGC- +DQ867108.1/1-118 -CCCCG----AG-U--G-CU--G-ACAGCU +AF516427.1/370-470 --GUCC----UC-G-UG-UU--G-CAUUCC +EF175854.1/1-112 --AUUU----CU-U--U-UC--C-UUCUUA +U89919.1/939-1056 --UACA----GG-G-UG-CU--G--AAGGU +AY313646.1/296-411 -GUCCU----CG-U--G-UU--G-CAUUCC +AL096764.11/46123-46004 --UAUA----AG-C-UG-CU--G-UUGGCU +AY544489.1/356-472 --GUCC----UC-A-AG-UU--G-CAUUCC +AJ005582.1/157-275 -UACCG----GG-U--G-CC--G-UAAUCU +DQ340386.1/10887-11006 -AAUAA----GG-U--G-CU--G-UAUCUU +L07260.1/753-869 --AGUA----GC-U-CA-GU--G-CCAAAG +DQ020568.1/1-118 --UACC----AG-G-UG-CC--G-UAGGCU +M25016.1/1-119 --CACC----GC-G-UG-UU--G-UUGGCC +AY924903.1/1-119 -UCCCC----AG-U--G-UU--G-UAUGU- +AF416765.1/2878-2993 --AGUA----AG-U-CA-CU--G-CCACCC +AF095839.1/346-228 -CCGGA----UG-U--G-CU--G-UACGCU +AJ272600.1/602-724 -CCCGG----GG-U--G-CC--G-UACCCU +AJ744982.1/1-129 -UAUCA----AG-U--G-CU--G-UAGGCA +AF237320.1/326-425 --CAUG----CG-U--A--C--G-UGUGCG +AY934066.1/157-271 --AGUA----GG-A-CG-UA--G-CCAGGC +AF516460.1/348-446 --UCCU----CG-U--G-UU--G-CAUUCC +X75364.1/777-892 --AUAA----AG-A-CG-AU--G-CCAAGU +M29278.1/713-832 --UCCC----AG-G-UG-CU--G-UAUGUU +AF516424.1/400-520 AGUACU----AG-G--A-UA--G-GUGACC +V01425.1/590-708 --UACA----AG-G-UG-UU--G-UAGUCU +AY599019.1/4972-5080 --AGUA----GG-U-CG-UC--G-CCAGGC +AY544461.1/401-518 -GUCCU----CG-U--G-UU--G-CAUUAC +AY544517.1/371-474 --UCCU----CG-U--G-UU--G-CAUUCC +DQ867109.1/1-117 -CACCG----AG-U--G-CU--G-UAAGCU +AY034723.1/387-496 -GUUCU----CG-U--G-UU--G-CAUUCC +M32451.1/1-117 --GAUA----GC-U-UA-GU--G-CCAGGA +M86547.1/142-262 --UCCUU--UGG-G-UG-AU--G-ACGGCC +AJ510153.1/1-116 --GUUA----GG-A-CG-AC--G-CGAUG- +AF516401.1/456-574 -AAGCG----UG-C--U-UG--G-GCGAGA +AF330837.1/213-340 -GUCCU----CG-U--G-UU--G-CAUCCC +AB205145.1/27903-27784 -UACCU----AG-U--G-UU--G-UAUGUU +AY034752.1/354-454 -GUCCU----CG-U--G-UU--G-CAUUUC +AY544430.1/375-465 ---CCU----CG-U--G-UU--G-CAUUCC +AF516416.1/267-382 -GUCCU----CG-U--G-UU--G-CAUUCC +M24957.1/152-36 --GUCU----GG-A-CC-CU--G-CCCUCA +AF135389.2/2013-1896 --AAUA----GC-U-CG-AU--G-CCAGGU +L79956.1/1-118 --UCCC----GG-G-UG-CC--G-AGG--- +X01545.1/1-118 -GUCCA----CG-U--G-CU--G-AUUCU- +DQ867109.1/245-353 -CACCG----AG-U--G-CU--G-UAAGCU +DQ776902.1/368-481 --CUC-----CG-A--A-GC--G-AAGCGU +AY544260.1/501-381 --AUCA----UA-C-CA-GC--A-CUAAAG +AY034715.1/370-504 -GUCCU----CG-U--G-UU--G-CAUUCC +AJ390158.1/188-305 CUAGGA----UG-G--G-UG--A-CCUCCU +AF516423.1/138-256 -GUUCU----CG-U--G-UU--G-CAUUCC +AF330846.1/196-319 GUCCUNGUGUUG-C--A-UC--C-CUCUUU +AF516438.1/428-540 -UAGUA----CU-A-G------G-AUAGGU +AF237322.1/124-242 -GUCCU----CG-U--G-UU--G-CAUUCC +AJ508600.1/161-58 ---GCU----GG-U--G-UG--GCUAGACC +M11398.1/749-868 -UCCUA----AG-U--G-UU--G-UAUAUU +DQ840051.1/217-335 -GUCCU----UG-U-UA--G--G-UGGUCA +U62086.1/19-126 -GUCCU----CG-U--G-UU--G-CAUUCC +DQ776904.1/441-560 -GUCCU----CG-U--G-UU--G-CAUUCC +AY034776.1/370-483 --CUUG----GG-C-GA-GA--G-UAGUAC +AF096755.1/373-488 --CUC-----CG-A-AG-UUAAG-CGUGCU +AJ318074.1/3315-3429 --AAUA----GC-U-CG-AC--G-CCAGGA +AY544572.1/31-151 --ACCU----CG-U--A-UU--G-CAUUCC +EF175853.1/1-105 --AAC-----CG-C-AA-UU--U-CUUUUC +DQ867109.1/483-591 --CCCC----AG-G-UG-CU--A-UAAGCU +AF516462.1/347-450 --GUCG---UCG-U--G-UU--G-CAUUCC +#=GC SS_cons ..->>-....>>.>.,).))..).))))): +#=GC RF ..acca....gg.u.Cg.cc..g.ccaggc +// diff --git a/raw_data/life/L020/0001-RF00145.stockholm b/raw_data/life/L020/0001-RF00145.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..8d273dcda031b457b9cbc49fd21da0e18489f5a8 --- /dev/null +++ b/raw_data/life/L020/0001-RF00145.stockholm @@ -0,0 +1,53 @@ +# STOCKHOLM 1.0 +#=GF ID snoZ105 +#=GF AC RF00145 +#=GF DE Small nucleolar RNA Z105 +#=GF AU Wilkinson AC; 0000-0001-7406-0151 +#=GF GA 45.0 +#=GF NC 44.9 +#=GF TC 45.0 +#=GF PI snoR7 +#=GF SE Predicted; CMfinder +#=GF SS Predicted; CMfinder +#=GF TP Gene; snRNA; snoRNA; CD-box; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 32.34 -Z 2958934 CM SEQDB +#=GF DR URL; http://bioinf.scri.sari.ac.uk/cgi-bin/plant_snorna/home; +#=GF DR SO; 0000593; C_D_box_snoRNA; +#=GF DR GO; 0006396; RNA processing; +#=GF DR GO; 0005730; nucleolus; +#=GF RN [1] +#=GF RM 12736310 +#=GF RT The high diversity of snoRNAs in plants: identification and comparative +#=GF RT study of 120 snoRNA genes from Oryza sativa. +#=GF RA Chen CL, Liang D, Zhou H, Zhuo M, Chen YQ, Qu LH +#=GF RL Nucleic Acids Res 2003;31:2601-2613. +#=GF RN [2] +#=GF RM 12007400 +#=GF RT Small nucleolar RNAs: an abundant group of noncoding RNAs with diverse +#=GF RT cellular functions. +#=GF RA Kiss T +#=GF RL Cell 2002;109:145-148. +#=GF CC This family consists of several snoRNA Z105 sequences which are members of +#=GF CC the C/D class of snoRNA which contain the C (UGAUGA) and D (CUGA) box +#=GF CC motifs. This family seems to be found exclusively in plants. C/D box small +#=GF CC nucleolar RNAs are known to act as a methylation guides for 18S ribosomal +#=GF CC RNA [1]. +#=GF WK Small_nucleolar_RNA_Z105 +#=GF SQ 11 + +AAAA02011125.1/45898-45831 UUGGCAUGAUGAGGAA----ACCUUACGUUUAU--CUGAUCUAUUUGAUGAUA--AAUU-CCUCCUACUCAUUCUGA +AJ489950.1/1-67 UUGGCAUGAUGAGGAA----AACCGAUGUUUUUG---GAUCUAUUUGAUGAUA--AAUU-CCUCCUACUCAUUCUGA +AC189189.1/52925-52858 AAGGCAUGAUGAGGAU-----UGUUU-AUUGUCAUCUGAUUUUC-UGA--UGAAUCAAUACCUCCUACUCAUUCUGA +AL049862.1/41945-41876 AAGGCAUGAUGAGGAU-----UGUUUUAUUGUCAUCUGAUUCUCAUGA--UGAAUAUAUACCUCCUACUCAUUCUGA +AARH01002622.1/16153-16085 AGGCAAUAAUGAUGAA-----AGAUUUAA-AUUAUCUUAUAUGUAUGA--UGAUUCAACACCUCCUACUCAUUCUGA +AC193778.1/40019-39952 GCAUAAUGAUGAUGCA---------AAAUUUGUUCCGAUUAUUCAUGAAUGGAAUACCAACCUCCUACUCAUUCUGA +AP006540.1/42483-42559 CUGGCAUGAUGAUGAUAAUUACGAUUGAUUUUGUAUGAUUAUUCAUAUGAUUAAUACAAUCCUCCUACUCAUUCUGA +AASG02002047.1/5497-5426 GCAUAGUGAUGAUGAA-----CUUGAAAUUUCCCGAUGAUUUUCAUGACAGGAAUAACAACCUCCUACUCAUACUGA +ABCN01006793.1/11445-11379 -UGGCU--AUGAGGAA-------ACACCUGUCUGAUCAUUUGAACUGAUGAGACCAAUCACCUCCUACUCAUUCUGA +FN596742.1/723319-723247 UUGGUAUGAUGAUGAAC---AUAACA-AUUAUUUUCUGAUGAUUCUUGAUUGAAUAAUAACCUCCUACUCAUUCUGA +AP003829.2/81303-81234 UUGGCAUGAUGAGGAA----AUCAAUCGUUUCUAACUGAUCCACUGGAUGAGA--AAUU-CCUCCUACUCAUUCUGA +#=GC SS_cons :::::<<<<-------.....----------<<--<__________>---->>--------------->>>>::::: +#=GC RF uuGGcAUGAUGAuGAA.....ugauauAUUUucaucUgAUuUucaUgAugugaAUAAuuACCUCCUACUCAUUCUGA +// diff --git a/raw_data/life/L020/0002-RF02452.stockholm b/raw_data/life/L020/0002-RF02452.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..2b8872df411a3fde29ee6237ae4e33c840478a4b --- /dev/null +++ b/raw_data/life/L020/0002-RF02452.stockholm @@ -0,0 +1,87 @@ +# STOCKHOLM 1.0 +#=GF ID ncr1575 +#=GF AC RF02452 +#=GF DE Bacillus sRNA ncr1575 +#=GF AU Eberhardt R; 0000-0001-6152-1369 +#=GF GA 60.0 +#=GF NC 59.2 +#=GF TC 60.0 +#=GF SE Eberhardt R +#=GF SS Published; PMID:20525796 +#=GF TP Gene; sRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 35.30 -Z 2958934 CM SEQDB +#=GF DR SO; 0000370; small_regulatory_ncRNA; +#=GF RN [1] +#=GF RM 20525796 +#=GF RT Identification of regulatory RNAs in Bacillus subtilis. +#=GF RA Irnov I, Sharma CM, Vogel J, Winkler WC +#=GF RL Nucleic Acids Res. 2010;38:6637-6651. +#=GF WK Bacterial_small_RNA +#=GF SQ 29 + +AEFY01000060.1/10854-11054 UUAAUAACAUGAGAAGGGA-UGAUGGGUGGACGAUGAUUAACUAAUCU-UAUUUUU-AACGUUUGAAAU-U-G-AU--AUUU--CAAAU--CAU--ACAAA-AUA-GGAUUAGUCUGCCCAUU-UUCUAUAU-------ACGUAAGC------GCUAUUUCUGAA-----------------------------GAAUAG +CP000560.1/574422-574226 UAA--CAAAUACGAAGGGA-UGAUGGGUGGACAAUGAUUAACUAAUCU-UAUUUUG-ACCGUUUGAAAU-C-AAAU--AUUU--CAAAU--CAG--AAAAA-AUA-GGAUUAGUCUGCCCAUU-UUCUAUACGA----UACGAAA--------GCUAUGUA---A-----------------------------AAAUAG +AAOX01000024.1/57078-56873 CAACUAAGUGCGAAAGGAA-UGAUGGGUGGACGAUGGAUAACUGAUCU-UAUUUUUUCUUGAUUGAAAU-AGC-AU--AUUU--CAAUU--CACACAAAAA-AUA-GGAUUAGUCUGCCCAUU-UUUCACUU-A----UACAUCAUUC----AGCCAUUA-UG-A-----------------------------UAAUGG +CP000227.1/2437378-2437587 UAUUAACGACGGAAAGGAA-UGAUGGGUGGACGAUGAUUAACUAAUCU-UAUUUUU-AAAUGUUGAAAUUC-A-AUACAUUU--CAAUUUCUA----AAAA-AUA-GGAUUAGUCUGCCCAAU-UUCCAUAC-A-----ACGGUAUU------GCUAUUUAU---GUU-----------------------GCGCAAUAG +ACMD01000088.1/8944-9153 UACUAACGACGGAAAGGAA-UGAUGGGUGGACGAUGAUUAACUAAUCU-UAUUUUU-AAAUGUUGAAAUUC-A-AUAAAUUU--CAAUU--U-A-UAAAAA-AUA-GGAUUAGUCUGCCCAAU-UUCCUUAC-A-----ACGGUAUU------GCUAUUUAUU-AUG-------------------------CGUAAUAG +CP001176.1/2494406-2494615 UAUUAACGACGGAAAGGAA-UGAUGGGUGGACGAUGAUUAACUAAUCU-UAUUUUUAAAUGUUGAAAUU-C-A-AU-AAAUU--UCAAU--UUC-UAAAAA-AUA-GGAUUAGUCUGCCCAAU-UUCCAUAC-A-----ACGGUAUU------GCUAUUUAUA-UUG-------------------------CGCAAUAG +ACLT01000056.1/51155-51364 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GAACAUAAUGAUGAGAGGACUGAUGGAUGGACAAUGGUUAACUAAUCU--AUAUUU-U-UAUUUGAGUU-G-A-AU--AACUUCCAAAU-ACA----AAAU-AUA-GGGUUAGUCUAUCCAUU--UCUAUAA-A----UCAGU----------G-UACAUG-------UCAUGAAUUUAAUGGCAAACU-----ACAAAC +CP000817.1/2916920-2917132 -UAUACAAUUAUGAGAGGACUGAUGGAUGAACAAUGAUGAACUAAUCU--AUAUUU-UAAG-UUGAAAU-C-A-AU-UACUU--CAAACUACA----AAAU-AUA-GGAUUAGUCUGUCCAUU--UUUAUUC-A----UCAGUUUAU------ACUUUAU-------UUGUCAUUU------UCCUAUGGCA--AAAAGG +AL009126.3/606606-606407 UAAUCAAAACAAGAAGGGA-UGAUGGGUGGACAAUGAUUAACUAAUCU-UAUUUUU-ACCGUUUGAAAU-C-A-AU--AUUU--CAAAU--CA----AAAA-AUA-GGAUUAGUCUGCCCAUU-UUCUAUAU-A----UACGACACU------GCUAUUUAUAAA-----------------------------AAAUAG +AFRV01000003.1/54844-55060 AAAUACAAUUAUGAGAGGACUGAUGGAUGGACAAUGAUUAACUAAUCU--AUAUUU-U-UAUUUGAAAU-G-A-AU-AACUU--CAAACUACA----AAAU-AUA-GGGUUAGUCUAUCCAUU--UUUAUAA-A----UCAG--UUU------ACACUUUAU---UUGUCAUGAUU-------CCAAUGGCAAAAAAGAG +AJ293027.1/6225-6003 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AAUAGAAUUAUGAAAGGAA-UGAUGGAUGAAUAAUGAUUAACUAAUUU--AUAUUU-UAAG-UUGAAUU-U-U-AU-AACUU--CAAACUACA----AAAU-AUA-GGGUUAGUCUAUCCAUU-UUUAAAAU-U-----CAGUUCAU------ACUUUAUUU----GUCAUGAU----------UCAAAUGAUUAAUAAG +ACLW01000071.1/41842-42052 AAAUAGAAUGAUGAAAGGAAUGAUGGAUGAAUAAUGAUUAACUAAUUU--AUAUUU-UAAG-UUGAAUU-U-U-AU-AACUU--CAAACUACA----AAAU-AUA-GGGUUAGUCUAUCCAUU--UUUAUAA-UU---CAUUUCAUA-----CUUUAUUUAU---CAUG---------------------AUUCAAAUGA +CP002508.1/3357927-3358143 AAAUAGAAUGAUGAAAGGAAUGAUGGAUGAAUAAUGAUUAACUAAUUU--AUAUUU-UAAG-UUGAAUU-U-U-AU-AACUU--CAAACUACA----AAAU-AUA-GGGUUAGUCUAUCCAUU--UUUAUAA-------UUCAUUUC------AUACUUUAU---UUGUCAUGAUU-------CAAAUGAUUAAUAAGUA +ABCZ02000041.1/1982-2197 AAAUAGAAAUAUGAAAGGAAUGAUGGAUGAAUAAUGAUUAACUAAUUU--AUAUUU-UAA-UUUGAAUU-U-U-AU-AACUU--CAAACUACA----AAAU-AUA-GGGUUAGUCUAUCCAUU--UUUAUAA-U----U--CAUUUC------AUACUUUAU---UUGUCAUGAUU-------CAAAUGAUUAAUAAGUA +CP000001.1/2406369-2406154 AAAUAGAAUGAUGAAAGGAAUGAUGGAUGAAUAAUGAUUAACUAAUUU--AUAUUU-UAAG-UUGAAUG-U-U-AU-AACUU--CAAACUACA----AAAU-AUA-GGGUUAGUCUAUCCAUU--UUUAUAA-U----U--CAUUUC------AUACUUUAU---UUGUCAUGAUU-------CAAAUGAUUAAUAAGUA +HQ128580.1/8169-7952 UCUUCAAAUAUGAAUGGAC-UACUGGGUGGAAGAUAAUUAACUAAUCUGUAUUCUU-CUAAUUUGAAAU-G-A-AUAAGUUU--CAAAG--UAC--UAAGAUAUA-GGAUUAGUC-AUCCAUU-UUUUUUAA-A----UCAGUUUAACUAGAUGUUUUGU-U------UGUCG-------------AAUGA-C-AAAAAA +AJ579365.1/3731-3942 AAAUAAAUAGACGAAAGGACUGACUGUAUAAUAAUGAUUUACUAAUUC----AACU-U--AUUUGAAAU-A-A-AU--AUUU--CAAACUCUA----AGUU-AUA-GGAUUAGUCUGAUCAUU--UUUAUAA-GUCGGUUUGUGACA------CCUAUUGCG---U--CAAAUG-----------CUGUUGGUACAAUAG +#=GC SS_cons :::::::::::::::<<<<.---<<<<--<<<----------<<<<<<.<<<<<<<.---<<<<<<<<<._._.__._>>>>..>>>>>----....>>>>.>>>.>>>>>>>>>-->>>>--.>>>>::::.:....::<<<----......<<<<<<<__..._____..................______>>>>>> +#=GC RF uAaUAaaaauaugAAggaa.UGAUGGgUGGAcaAUGAUUAACUAAuCU.uAUuuUU.uAaguUuGAAaU.u.a.AU.AAuUU..CaAacUauA....AAaa.AUa.GGaUUAgUCUgcCCAUU.uuccAUAa.A....Uacguuauu......gcuauuuaU...uuuua..................uauauaaaauag + +AEFY01000060.1/10854-11054 C-UUAUUUGAUCAUGGCAAA--G--GC--A-CGGCUAAUCCUUCCA-A--AA-CA--UUUGGGAGGAUUUUUUG +CP000560.1/574422-574226 C-UUAUUUGAUCAUG-CACA--G--GU--A-CGGCUAAUCCUUCCA-A--AU-CA--AUUGGGAGGAUUUUUUU +AAOX01000024.1/57078-56873 U-UUAUUUGCUGAUG-CAAA--G--GU--A-CGGCUAAUCCUUCCA-A--UU-CA--AUUGGGAGGAUUUUUUU +CP000227.1/2437378-2437587 C-UUAUUUGGGUAUA-AAUA--UUUUA--A-CGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +ACMD01000088.1/8944-9153 C-UUAUUUGGGUAUA-AAUA--U--GUUAA-CGACUAAUCCUGCCA-A--AUUAA--UUUGGGAGGAUUUUUUU +CP001176.1/2494406-2494615 C-UUAUUUGGGUAUA-AAUAAUG--UA--A-UGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +ACLT01000056.1/51155-51364 C-UUAUUUGGGUGUG-AAUA--UUUUA--A-CGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +ACMY01000063.1/95493-95702 C-UUAUUUGGGUAUA-AAUA--UUUUU--A-CGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +ACNK01000052.1/72455-72664 C-UUAUUUGGGUGUA-AAUAUUU--UA--A-CGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +ACMF01000050.1/21045-21254 U-UUAUUUGGGUAUA-AAUA--UUUUA--A-CGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUA +ACNC01000090.1/185-394 C-UUAUUUGGGUAUA-AAUAAUG--UA--A-UGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUA +ACMU01000051.1/2518-2309 C-UUAUUUGGGUAUA-AAUA--UUUUA--A-UGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +ACMJ01000045.1/2590-2799 C-UUAUUUGGGUAUA-AAUAAUG--UA--A-UGACUAAUCCUGCCA-A--AA-UUACUUUGGGAGGAUUUUUUU +ACLS01000064.1/23579-23787 C-UUAUUUGGGUAUA-AAUA--UUUUA--A-CGACUAAUCCUGCCA-A-AUU-UA--UUUGGGAGGAUUUUUUU +AGIP01000011.1/90019-90227 U----UAUUU--AUG-AAAA--U--UA--A-CGGCUAAUCCUUCCAUA--UC-CA--UUUGGGAGGAUUUUUUA +CP000817.1/2916920-2917132 UCCUUUAUUAUU----ACCU--G--UA--ACCGACUAAUCCUUCCA-A--UG-AA--AUUGGGGGGAUUUUUUU +AL009126.3/606606-606407 C-UUAUUUGAUCAUG-CACA--G--GC--A-CGGCUAAUCCUUCCA-A--CA-CA--UUUGGGAGGAUUUUUUU +AFRV01000003.1/54844-55060 C-UUAU-UUACUAU---AAG--U--GA--A-AGACUAAUCCUUCCA-A-UUACAA--AUUGGGAGGAUUUUUUA +AJ293027.1/6225-6003 U-UUGAGUCCUUAAA-AAGU--G--AC--A-UGACUAAUCCUUCCA-A-CAU-UA--UUUGGGAGGAUUUUUUA +AAXV01000013.1/57287-57073 U-CCUUAAU-CAAUA-CCUG--U--AA--C-CGACUAAUCCUUCCA-A-UGA-CA--AUUGGGGGGAUUUUUUU +ACMV01000132.1/9772-9988 C-UUAU-UAAGUAUA-AG----U--GA--G-AUACUAAUCCUUCCG-A-UUACAA--AUUGGGAGGAUUUUUUU +ADJR01000035.1/12266-12474 G-CAAAUCGUAUUUA-UUUA--G-UGA--A-AGACUAAUCCUUCCA-AUGCA-CA--AGUGGAGGGAUUUUUUC +ACMZ01000088.1/41335-41548 U-ACUUAUUAA-GUA-UAGA--C--GA--A-AGACUAAUCCUUCCG-A-UUA-CA--AUUGGG-GGAUUUUUUU +ACLW01000071.1/41842-42052 U-UAAUAAGUACUUA-CUUA--AGCGA--C-AGACUAAUCCUUCCG-A-UUA-AA--AAUCGGGGGAUUUUUUU +CP002508.1/3357927-3358143 C-UUACUUAAGUAUA-AGC------GA--C-AGACUAAUCCUUCCG-A-UUA-AA--AAUUGGGGGAUUUUUUU +ABCZ02000041.1/1982-2197 C-UUAUU-AAGU--A-UAAG--A--GA--C-AGACUAAUCCUUCCG-AUUAA-UA--AUUGGG-GGAUUUUUUU +CP000001.1/2406369-2406154 C-UUAU---UAAGUA-UAAA--A--GA--C-AGACUAAUCCUUCCG-A-UUA-AA--AAUUGGGGGAUUUUUUU +HQ128580.1/8169-7952 C-UCUUA-UUUAGUA-UAAA--U--GA--A-UAGAUAAUCCUUCCA-A-UAA-UA--AUUGGGAGGAUUUUUUA +AJ579365.1/3731-3942 GGACUUUUAAAUAUG-A-----G--AC--C-AGAUUAAUCCUUCCA-A--AU-UC--UUUGGAAGGAUUUUUAU +#=GC SS_cons >.---->>>::::::.::::..:..::..:.:::::<<<<<<<<<<.<.___.__.._>>>>>>>>>>>::::: +#=GC RF c.UuaUacgauuAUA.aAuA..u..ga..A.aGACUAAUCCuuCCA.a.uuu.uA..uuUGGgaGGAUUUUUUu +// diff --git a/raw_data/life/L020/0003-RF01820.stockholm b/raw_data/life/L020/0003-RF01820.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..e008a50c8d693405de4da24401cafb448bfa47e9 --- /dev/null +++ b/raw_data/life/L020/0003-RF01820.stockholm @@ -0,0 +1,56 @@ +# STOCKHOLM 1.0 +#=GF ID RsaE +#=GF AC RF01820 +#=GF DE RNA Staph. aureus E (RoxS) +#=GF AU Moore B; 0000-0002-4074-1933 +#=GF GA 79.0 +#=GF NC 78.9 +#=GF TC 79.3 +#=GF PI ncr22; ncr629 +#=GF SE Published; PMID:19786493 +#=GF SS Published; PMID:19786493 +#=GF TP Gene; sRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF DR GO; 0006446; regulation of translational initiation; +#=GF DR SO; 0000370; small_regulatory_ncRNA; +#=GF RN [1] +#=GF RM 19786493 +#=GF RT A search for small noncoding RNAs in Staphylococcus aureus reveals a +#=GF RT conserved sequence motif for regulation. +#=GF RA Geissmann T, Chevalier C, Cros MJ, Boisset S, Fechter P, Noirot C, +#=GF RA Schrenzel J, Francois P, Vandenesch F, Gaspin C, Romby P +#=GF RL Nucleic Acids Res. 2009;37:7239-7257. +#=GF RN [2] +#=GF RM 25643072 +#=GF RT A nitric oxide regulated small RNA controls expression of genes involved +#=GF RT in redox homeostasis in Bacillus subtilis. +#=GF RA Durand S, Braun F, Lioliou E, Romilly C, Helfer AC, Kuhn L, Quittot N, +#=GF RA Nicolas P, Romby P, Condon C +#=GF RL PLoS Genet. 2015;11:e1004957. +#=GF CC It was shown to be regulated by the presence of nitric oxide (NO). In +#=GF CC Bacillus subtilis it controls expression of genes with functions related +#=GF CC to oxidative stress and oxidation-reduction reactions and it was renamed +#=GF CC RoxS (for related to oxidative stress).[2] +#=GF WK Rsa_RNA +#=GF SQ 15 + +ABQL01000005.1/214304-214418 GUGAAAUUGAUCACA-AA-CAAAC---A-----UU--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--GUUAA-----GACAUA--UGAAACCGCGCU---U-----AUCCCGGCGCGGUUUCUUU +ABFU01000021.1/68350-68459 GUGAAGUUGAUCACA-AA-CAAAC---A------UAUAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUU--C--GUAAA-----G-GAAA--ACCCCUUGUAAC-----------CUAGUUACAAGGGGUUU +CP000922.1/2095013-2094892 GUGAAGUGAAUCACA-AU-CAAAC---AAACUUAU--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--UUUAU-----GACAAAGAAAAAGGACUCGG---C-----AUCCCCCGAGUCCUUUUUC +ABCF01000041.1/14193-14301 AAGAAGUUGAUCACA--A-CAAAC---A------UAUAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUU-----UGUAU--------AAG--AAAACCCGUUGU---C-----UUCGGACAACGGGUUUUCU +AP009484.1/660819-660915 AUGAAAUUGAUCACA-UACCAAAC---A------U--AC--CCCUUUGUUUGA--GUGAAAGAUUUCUCCCAUCCCCUUUGU--------------------U---UAAUACCGUG-----U-----AUACAGACACGGUAUUUUU +AP008934.1/1857525-1857428 AUGAAAUUAAUCACAUAA-CAAAC---A------U--AC--CCCUUUGUUUGAA-GUGAAAAAUUUCUCCCAUCCCCUUUGU--------------------U---UAGCGCCGUGU----A-----AUCAG-ACACGGCGUUUUU +AM295250.1/605317-605414 AUGAAAUUAAUCACAUAA-CAAAC---A------U--AC--CCCUUUGUUUGAA-GUGAAAAAUUUCUCCCAUCCCCUUUGU--------------------U---UAGCGCCGUGUC---U-------GAAUACACGGCGUUUUU +CP000255.1/991517-991614 AUGAAAUUAAUCACAUAA-CAAAC---A------U--AC--CCCUUUGUUUGAA-GUGAAAAAUUUCUCCCAUCCCCUUUGU--------------------U---UAGCGUCGUG-----U-----AUUCAGACACGACGUUUUU +CP000817.1/1311650-1311762 GUGAAAUAAAUCACAAAA-CAAAC---A------U--ACACCCCUUUGUUUGAACGUGAAC-AUUUCUCCCAUCCCCUUUGU--------GAA---------AA--AGAAGCGUCUCUAUC-GGUCGAGGAUAGAGGCGUUUCUUU +ACNH01000027.1/21597-21717 GUGAACGAAUUCACA-UA-CAAAC---A------UAUAC--CCCUUUGUUUGAACGUGAAAAU-UUCUCCCAUCCCCUUUAAUAUUUUUAUAAGC-CGUAAAGA--AGAAGACCUGGU---G-----UUUACACCAGGUCUUCUUC +ACLW01000041.1/9530-9650 GUGAACGAAUUCACA-UA-CAAAC---A------UAUAC--CCCUUUGUUUGAACGUGAAAAU-UUCUCCCAUCCCCUUUAAUAUUUUUAUAAGCCGUAAAGAA--GAAGACCUGGUG---U-----UUU-ACACCAGGUCUUUUU +CP000002.3/1262536-1262653 GUGAAAUUGAUCACA-AA-CAAAC---A------UUUAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGU--CGUUAAGA-CA--UAAU--AGAAACCGCGCU---U-----AUCCCGGCGCGGUUUCUUA +ABRX01000001.1/691882-691767 GUGAAAUUAAUCACA-UA-CAAAC---A------U-UAC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--GUUAA-----GACAUA-GUGAAACCGCGCU---U-----AUCCCGGCGCGGUUUCUUC +CP001638.1/846669-846782 GUGAACGAAGUCACA-AA---AACCUUA------U--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUC--UUGGC-----AACAAG--GAAAAGCCCGGC---------AUUCAGCCGGGCUUUUCCU +CP002472.1/906962-907066 GUGAAGUUGAUCACA-AG-CAAAC---A------U--AC--CCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGU--UC--GUGUU-----G---AA--AGAGGCCUUGCA---A-----A----CGCAAGGCCUCUUU +#=GC SS_cons ::<<<<<<--<<<<-.--.<<<<<...<......_..__.._____>>>>>>--->>>>-->>>>>>:::::::::::::::<.-<.._____.....>.->::..:<<<<<<<<<<<..._....._____>>>>>>>>>>>::: +#=GC RF gUGAAauuaaUCACA.aA.CAAAC...A......U..AC..CCCUUUGUUUGAaCGUGAAAaauUUCUCCCAUCCCCUUUGUu.Uc..uuuAa.....g.aaaa..agaggccgcgcc...u.....aUuaaggcgcggccucUUu +// diff --git a/raw_data/life/L020/0004-RF01347.stockholm b/raw_data/life/L020/0004-RF01347.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..87dc34bd25a35f82f333677ebcf49d778039be4b --- /dev/null +++ b/raw_data/life/L020/0004-RF01347.stockholm @@ -0,0 +1,32 @@ +# STOCKHOLM 1.0 +#=GF ID CRISPR-DR37 +#=GF AC RF01347 +#=GF DE CRISPR RNA direct repeat element +#=GF AU Wilkinson A; 0000-0001-7406-0151 +#=GF GA 40.0 +#=GF NC 39.7 +#=GF TC 40.0 +#=GF SE Predicted; WAR; Wilkinson A +#=GF SS Predicted; WAR; Wilkinson A +#=GF TP Gene; CRISPR; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 24.00 -Z 2958934 CM SEQDB +#=GF DR URL; http://crispr.u-psud.fr/crispr/CRISPRHomePage.php; +#=GF DR SO; 0001459; CRISPR; +#=GF DR GO; 0006952; defense response; +#=GF RN [1] +#=GF RM 17521438 +#=GF RT The CRISPRdb database and tools to display CRISPRs and to generate +#=GF RT dictionaries of spacers and repeats. +#=GF RA Grissa I, Vergnaud G, Pourcel C +#=GF RL BMC Bioinformatics. 2007;8:172. +#=GF WK CRISPR +#=GF SQ 3 + +BA000019.2/2179133-2179167 GUUUCCAUCCCCGUGAGGGGUAAGAGAUUAAAAAC +CP000117.1/4244596-4244630 GUUUCCAUCCCCGUGAGGGGUAAAGGAAUUAAAAC +AAXW01000070.1/13590-13624 GUUUCCAUCCCCGUGAGGGGAAUAAGUGUUUUGAA +#=GC SS_cons :<<<----<<<<____>>>>---->>>:::::::: +#=GC RF GuUuCCAUCCCCGUGAGGGGuAaAaGaaUUaaAAc +// diff --git a/raw_data/life/L020/0005-RF03064.stockholm b/raw_data/life/L020/0005-RF03064.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..4ca37ce4c7272b39e73157af35ac2c47e65a70ff --- /dev/null +++ b/raw_data/life/L020/0005-RF03064.stockholm @@ -0,0 +1,1450 @@ +# STOCKHOLM 1.0 +#=GF ID RAGATH-18 +#=GF AC RF03064 +#=GF DE RAGATH-18 RNA +#=GF AU Weinberg Z; 0000-0002-6681-3624 +#=GF GA 44.9 +#=GF NC 44.2 +#=GF TC 45.0 +#=GF SE Weinberg Z +#=GF SS Published; PMID:28977401; +#=GF TP Gene; sRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 28.12 -Z 2958934 CM SEQDB +#=GF DR SO; 0000370; small_regulatory_ncRNA; +#=GF RN [1] +#=GF RM 28977401 +#=GF RT Detection of 224 candidate structured RNAs by comparative analysis of +#=GF RT specific subsets of intergenic regions. +#=GF RA Weinberg Z, Lunse CE, Corbino KA, Ames TD, Nelson JW, Roth A, Perkins KR, +#=GF RA Sherlock ME, Breaker RR +#=GF RL Nucleic Acids Res. 2017;45:10811-10823. +#=GF CC Actinobacteria, Firmicutes, Fusobacteria, Thermotogae (1 example). Nearby +#=GF CC to self-cleaving ribozyme genes +#=GF WK RAGATH_RNA_motifs +#=GF SQ 1420 + +URS0000D69FEA_12908/1-73 AUUAC-GGACUGCU-AAAUAAA--------------------------------CAAAAGU-AGGA-UUUA---------------AGUAAU-U------------------GAA---CUC-AAAAUUG-GGUAU-GCUGA-AGUAAUAA +URS0000D66EC3_12908/1-74 -CUCUGGGAGAGUC-AAACAAA--------------------------------CUUGAUU-AGCA-GCUU---------------AUUUUAUA------------------AGU---UGU-GAAAGAG-GACUC-GAAGAAAGGAGAA- +URS0000D692E2_561180/1-72 CCUGU-GGACUGUC-GCAUCCA--------------------------------CUCCGGU-ACGC--ACCGC-------------GCGA--------------------GCGG----GCG-GAAAGAG-GACAG-GUAGA-AGCAGGAA +URS0000D6C23B_561180/1-76 ACCGAGGGAGUGCC-ACACCAA--------------------------------CGCGAGU-AGCC--CGC--CAU----------CCCAG----------------AUG--GC----UGC-AAAAGCG-GGCAU-AAUGA-ACCGGUAA +URS0000D6BD6C_12908/1-68 GAUGU-GGAGUGUU-AUAUCAAA-------------------------------CAUGAGU-AGAA-U-UC---------------AAUAU---------------------GA----UUC-AAAAGUG-GACAC-GAA---AACCUAAA +URS0000D66FC8_12908/1-71 GAUGU-GGAGUGUU-AUAUCAAA-------------------------------CAUGAGU-AGAA-UCUA---------------A-------------------------UAUUGAUUC-AAAAGUG-GACAC-GAAAA-AAAAAGAA +URS0000D667CC_12908/1-67 ACUGU-GGAGUGUU-AUACAAA--------------------------------CACAAGU-AGAG-UGAU-----------------------------------------AUUU--CUC-AAAAGUG-GAUAC-AGUAA-AGCAGUAA +URS0000D682C8_1158598/1-66 ACUGU-GGAGAACG-AGACAAA--------------------------------CCGUAGU-AGUG-UC-----------------GAAGU---------------------------GAC-GAGGCGG-CGUUC-GGUGA-AACAGUAA +URS0000D682C8_1300150/1-66 ACUGU-GGAGAACG-AGACAAA--------------------------------CCGUAGU-AGUG-UC-----------------GAAGU---------------------------GAC-GAGGCGG-CGUUC-GGUGA-AACAGUAA +URS0000D6BAA9_12908/1-70 CCUUU-GGAGAAGC-AAUCAAA--------------------------------CUAGAGU-AGAU--ACU---------------UUAAA---------------------AGU---AAC-AAAAUAG-GUUUC-GAUGA-AUUAGGAA +URS0000D6C086_12908/1-74 CCUCU-GGACUACU-ACAUCAAA-------------------------------CCUAAGU-AGGU-U-GU---------------UAGUAAUA------------------ACU---UCC-AAACAGG-AGUAG-GAUGA-AUGAGGAA +URS0000D66F7C_441772/1-70 UCCUU-GGAGAAUU-GCACCAAA-------------------------------CUAGAGU-AGAA-UAAG---------------AA------------------------CUUA--UUU-GAAAUGG-AAUUC-CAUGA-AUAGGAAA +URS0000D66F7C_498213/1-70 UCCUU-GGAGAAUU-GCACCAAA-------------------------------CUAGAGU-AGAA-UAAG---------------AA------------------------CUUA--UUU-GAAAUGG-AAUUC-CAUGA-AUAGGAAA +URS0000D68DC4_929506/1-70 UCCUU-GGAGAGUU-AUACCAAA-------------------------------CUAGAGU-AGAA-UA-----------------AGGAAU---------------------UA---UUC-AAAAUAG-AACUU-UAAGA-AGAGGAAA +URS0000D6AFCF_929505/1-70 UCCUU-GGAGAGUU-AUACCAAA-------------------------------CUAGAGU-AGAA-UA-----------------AGGAAU--------------------CA----UUC-AAAAUAG-AGCUU-UAAGA-AGAGGAAA +URS0000D6BE36_658056/1-70 UCCUU-GGAGAGUU-AUACCAAA-------------------------------CUAGAGU-AGAA-UAAG---------------GAA-----------------------UUA---UUC-AAAAUAG-AGCUU-UAAGA-AGAGGAAA +URS0000D6C784_12908/1-68 UCCUU-GGAGAGUU-AACCAA---------------------------------CUAAAGU-AGAA-UAAG---------------AAA-----------------------UUA---UUC-CAAAUAG-AACUC-GAUGA-AUAGGAAA +URS0000D6B5CA_1511/1-70 UCCUU-GGAGAGUU-ACACCAAA-------------------------------CUAAAGU-AGAG--UGA---------------GAAA----------------------UCA---UUC-AAAAUAG-AACUC-GAUGA-AUAGGAAA +URS0000D6BAB4_12908/1-89 UCUGU-GGACUGUU-AUAUAAA--------------------------------CGAGAAU-AGAU--AGACAAUGAACU------UCUGCGA----------AGUUCAUUGUC----AUU-GAAAUUG-GACAG-GUUGA-AACAGAAA +URS0000D6811F_12908/1-89 UCUGU-GGACUGUU-AUACAAA--------------------------------CAAGAUU-AGAU--AGACAAUGAACU------UCUACGA----------AGUUCAUUGUC----GUU-GAAAUUG-GACAG-GUUGA-AGCAGAAA +URS0000D6C62B_12908/1-89 UCUGU-GGACUGUU-AAACAAA--------------------------------CAAGAUU-AGAU--AGAUAAUGAACU------UCUACGA----------AGUUCAUUAUC----GUU-GAAAUUG-GACAG-GGUGA-AGCAGAAA +URS0000D68DAD_866779/1-68 GAUGU-GGAGUGUA-AAAACCAU-------------------------------UGCUAGU-AGUG----G---------------CUAAA---------------------CC----CAC-GAGAGCA-UACAC-GAAGA-AACAGCAA +URS0000D68DAD_768713/1-68 GAUGU-GGAGUGUA-AAAACCAU-------------------------------UGCUAGU-AGUG----G---------------CUAAA---------------------CC----CAC-GAGAGCA-UACAC-GAAGA-AACAGCAA +URS0000D6866E_12908/1-69 CUUGU-GGACUGUC-AAACAGA--------------------------------UGUUAGU-AGUA---UU---------------AGAAAU------------------------AAUAU-GAGGACA-GACAG-GUUGA-AACAAGAA +URS0000D69A7B_12908/1-62 CCUUU-GGAGUAUU-AAACAAA--------------------------------UCAGAGU-ACCUAUU-------------------------------------------------AGG-GAAAUGA-AAUAC-AAUGA-GAAAGGAA +URS0000D665EB_12908/1-63 CCCUU-GGAGUAUC-AUACAAA--------------------------------UCUUAGU-ACCU-GA-----------------AA------------------------------AGG-GAAAAGA-GAUAC-GAUGA-AUAGGGAA +URS0000D6A62F_12908/1-74 CUUGU-GGAUUGUU-AUAUAAA--------------------------------CUCAAGU-AGCU--GUU---------------AAUAAUUU------------------AAU---AGUAGAACGGG-GACAG-GAAGA-AGCAAGAA +URS0000D69878_12908/1-67 CUUGU-GGAGUAUU-ACAGAAA--------------------------------CUAUAGU-AGCA--AGU---------------AU---A--------------------AC----UGC-GAGAUAG-AAUAC-GAUGA-AACAAGAA +URS0000D6A3AC_12908/1-70 CCUUU-GGAGUGUU-ACAUCAAA-------------------------------UGUUAUU-AGUA-UU-----------------AGCAAU------------------------AAUAU-GAGGGCA-GACAC-GAUGA-AUAAGGAA +URS0000D6C2DC_12908/1-72 CACGU-GGACUGUU-ACAUCAAA-------------------------------CCGUAGU-AGAC--ACU---------------CC-UUGC-------------------AGU---UUC-GAGACGG-GACAG-GAAGA-AGCGUGAA +URS0000D67827_12908/1-71 CACGU-GGACUGUU-ACAUAAAA-------------------------------CCGUAGU-AGAC--ACU---------------AUUAC---------------------AGU---UUC-GAGACGG-GACAG-GAAGA-AACGUGAA +URS0000D65F6F_12908/1-71 CACGU-GGACUGUU-ACAUCAAA-------------------------------CCGUAGU-AGAC--ACU---------------CUUAC---------------------AGU---UUC-GAGACGG-GACAG-GAAGA-AACGUGAA +URS0000D68A68_12908/1-71 CACGU-GGACUGUU-AUAUCAAA-------------------------------CCGUAGU-AGAU--ACU---------------CUUAC---------------------AGU---UUC-AAGGCGG-GACAG-GAAGA-AGCGUGAA +URS0000D69FEE_12908/1-71 CACGU-GGACUGUU-AUAUCAAA-------------------------------CCGUAGU-AGAU--ACU---------------CUUAC---------------------AGU---UUC-GAGGCGG-GACAG-GAAGA-AGCGUGAA +URS0000D69AC4_12908/1-65 CCUUU-GGAGUGCU-AAAUCAAA-------------------------------AGAAAGU-AGUU--------------------GCAA----------------------------AAUGAAAAUCU-GGCAC-GGCGA-AGAAGGAA +URS0000D6A708_12908/1-66 GCUUU-GGAGUGGC-ACAUCAAA-------------------------------UUGGAGU-AGUA-UUUA-----------------------------------------UA----UAC-AAAACAA-GCCAC-GAUGA-AUUAGCAA +URS0000D69CC4_1069536/1-67 ACUGU-GGACUGUU-AUUUGACC-------------------------------CUGUAGU-AGUG--------------------AGUAGUU-------------------------GGC-GAGGCAG-AACAG-GAUGA-AGCAGUAA +URS0000D66587_12908/1-69 ACUGU-GGAGUGUU-ACAUAAA--------------------------------CUAUAGU-AGAU---GC---------------UUUU----------------------ACGG--AUC-GAGAUAG-GACAC-UAUGA-AGCAGUAA +URS0000D68443_12908/1-68 ACUGU-GGAGUGUU-ACAUAAA--------------------------------CUAUAGU-AGAU---GC---------------UUU-----------------------ACGG--AUC-GAGAUAG-GACAC-UAUGA-AGCAGUAA +URS0000D6CA68_12908/1-69 ACUGU-GGAGUGUU-ACAUAAA--------------------------------CUAUAGU-AGAU--GCU---------------UUCAU---------------------GG----AUC-GAGGUAG-GACAC-UAUGA-AGCAGUAA +URS0000D6B1CE_12908/1-69 ACUGU-GGAGUGUU-ACAUAAA--------------------------------CUAUAGU-AGAU--GCU---------------UUCAU---------------------GG----AUC-UAGAUAG-GACAC-UAUGA-AACAGUAA +URS0000D66A83_12908/1-69 ACUGU-GGAGUGUU-ACAUAAA--------------------------------CUAUAGU-AGAU--GCU---------------UUUAU---------------------GG----AUC-GAGAUAG-GACAC-UACGA-AGCAGUAA +URS0000D6CD3E_12908/1-63 ACUAU-GGAGUAUG-AUGAGC---------------------------------CUAGAGU-AGUA-U------------------UUUA----------------------------UAU-GAAAUAG-CAUAC-GAUGA-AAUAGUAA +URS0000D6AAFC_12908/1-68 GCUGC-GGAGUGUA-CUCGAACU-------------------------------UGUGAUC-AGCGGU------------------GAGAGC--------------------------CGU-GAAAGCA-UACAC-AGUGA-AACAGCAA +URS0000D6A7A3_12908/1-65 CCUUG-GGAGUGCU-AAGAAAA--------------------------------UACAAGU-AGAG---GU---------------UU------------------------AC----CUU-GAAAGUA-AGCAC-AUUGA-AUAAGGAA +URS0000D65AE3_12908/1-65 CCUUG-GGAGUGCU-AAAACAA--------------------------------UACAAGU-AGAG--------------------GUUUGC--------------------------CUC-CAAAGUA-AGCAC-ACUGA-AUAAGGAA +URS0000D69DC6_12908/1-66 CCUUG-GGAGUGUU-AAGAAAA--------------------------------UACGAGU-AGAG--A-----------------UUUCAU--------------------------CUC-AAAAGUA-AACAC-GUUGA-AUAAGGAA +URS0000D6B47E_12908/1-65 CCUUG-GGAGUGCU-AAGAAAA--------------------------------UACGAGU-AGAG--A-U----------------UU-----------------------AU----CUC-CAAAGUA-AGCAC-GUUGA-AUAAGGAA +URS0000D6BAA1_12908/1-65 CCUUG-GGAGUGCU-AAGACAA--------------------------------UACGAGU-AGAG--A-U----------------UU-----------------------AU----CUC-CAAAGUA-AGCAC-GUUGA-AUAAGGAA +URS0000D675AF_12908/1-65 CCUUG-GGAGUGCU-AAGACAA--------------------------------UACAAGU-AGAG--A-----------------UUUAU---------------------------CUC-CAAAGUA-AGCAC-GUUGA-AUAAGGAA +URS0000D675C4_12908/1-65 CCUUG-GGAGUGCU-AAGACAA--------------------------------UACGAGU-AGAG--A-----------------UUUAU---------------------------CUU-CAAAGUA-AGCAC-GUUGA-AUAAGGAA +URS0000D6B3C9_12908/1-65 CCUUG-GGAGUGCU-AAGACAA--------------------------------UACGAGU-AGAG--A-----------------UUUAU---------------------------CUC-CAAAGUA-GGCAC-GUUGA-AUAAGGAA +URS0000D69A06_12908/1-63 CCUUU-GGAGUAUC-AAGACCA--------------------------------CACGAGU-AGGU---UU-----------------------------------------AA----UCC-AAAAGUG-GAUAC-GCUGA-AUAAGGAA +URS0000D6CF84_12908/1-63 AUUGU-GGAGCGUU-AUAUAAA--------------------------------CUUAAGU-AGCC-AA-----------------AU------------------------------GGU-GAACAAG-AACGC-UGUGA-AACAAUAA +URS0000D6812A_12908/1-61 CCUAU-GGAGAGUU-GUAACCA--------------------------------CUCUAGU-AGUU--------------------CC------------------------------GAC-GAACGAG-AACUC-GAUGA-AAUAGGAA +URS0000D67FD1_12908/1-61 CCUAU-GGAGAGUU-AAAACCA--------------------------------CUUGAGU-AGUU--------------------GC------------------------------GAC-GAAAAAG-AAUUC-GAAGA-AGUAGGAA +URS0000D69002_12908/1-64 CCUAU-GGACUGUU-AAACAAA--------------------------------CUGUAGU-AGCU-UU-------------------UAU---------------------------AGC-GAGGCGG-AACAG-GAUGA-AAUAGGAA +URS0000D69FC7_12908/1-61 UCCGU-GGACAGCU-AUACAAA--------------------------------CUAGAGU-AACU-UC-------------------------------------------------GGU-GAAAUAG-GGCUG-GAAGA-AACGGAAA +URS0000D6AC4E_12908/1-73 GCUAU-GGAGUAUG-AUACCAAA-------------------------------CGCUAGU-AGCU--AGUG--------------AGUAAU-------------------CAC----AGC-GAGAGCG-CAUAC-GAUGA-AAUAGCAA +URS0000D65CC2_12908/1-73 GCUAU-GGAGUAUG-AUACCAAA-------------------------------CGCUAGU-AGCC-UGCG---------------AGAAGU--------------------CGC---GGC-GAGAGCG-CAUAC-GAGGA-AAUAGCAA +URS0000D69CAE_12908/1-73 GCUAU-GGAGUAUG-AUACCAAA-------------------------------CGCUAGU-AGCC-UGCG---------------AGAAAU--------------------CGC---GGC-GAGAGCG-CAUAC-GAGGA-AAUAGCAA +URS0000D67167_12908/1-73 GCUAU-GGAGUAUG-ACACCAAA-------------------------------CGCCAGU-AGCC-UGCG---------------AGCAAU--------------------CGC---GGC-GAGAGCG-CAUAC-GAUGA-AAUAGCAA +URS0000D6896E_12908/1-73 GCUAU-GGAGUAUG-AUACCAGA-------------------------------CGCUAGU-AGCU-UGCG---------------AGUAAU--------------------CGC---GGU-GAGGGCG-CAUAC-GAUGA-AAUAGCAA +URS0000D68555_12908/1-74 GCUAU-GGAGUAUG-AUAUCAAA-------------------------------CGUUAGU-AGUC---CG---------------AGUGUAAA------------------CGAG--GAU-GAGAACG-CAUAC-GAUGA-AAUAGCAA +URS0000D6C745_12908/1-74 GCUAU-GGAGUAUG-AUACCAAA-------------------------------CGUUAGU-AGCC---CG---------------AAUGUAAA------------------CGAG--GGC-GAGAACG-CAUAC-GAGGA-AAUAGCAA +URS0000D6A69B_12908/1-75 CCUAU-GGACUGUU-AUAUCAAA-------------------------------CCCAAGU-AGUA--CCUUC-------------GAAA--------------------GGAGAU--AGC-AAAAGGG-GACAG-GUUGA-AAUAGGAA +URS0000D6918B_12908/1-86 CCUUU-GGAGUGUG-AUACCAGA-------------------------------CGUUAGU-AGAA--UGUUGAAUUUU-------CAACG-------------AAUUUUCAAC----UUC-GAGAACG-CACAC-GAGGA-AGAAGGAA +URS0000D663F2_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAA--CGCUGAAUUU--------UCAAUGA------------ACUUUCAGC----UUC-AAGAACG-CACAC-GAGGA-AGAAGGAA +URS0000D6B7E4_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAA--CGCUGAAUUU--------UCAAUGA------------ACUUUCAGC----UUC-AAGAACG-CACAC-GGGGA-AGAAGGAA +URS0000D69FC6_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAA--CGCUGAAUUU--------UCAAUGA------------AUUUUCAGC----UUC-GAGAACG-CACAC-GAGGA-AGAAGGAA +URS0000D6CBF8_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAA--CGCUUAAUUUUC------AAU--------------GAAUUUUCAGC----UUC-GAGAACG-CACAC-GAGGA-AAAAGGAA +URS0000D6C6F0_12908/1-86 CCUUU-GGAGUGUG-ACGCCAAA-------------------------------CGUUAGU-AGAA---CGCUGAAUUU-------UCAAC------------GAAUUUUCGGC----UUC-GAGAACG-CACAC-GAGGA-AAAAGGAA +URS0000D68166_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAA--CGC--UGAAUUU------UCAAC------------GAAUUUUCAGC----UUC-GAGAACG-CACAC-GAGGA-AAAAGGAA +URS0000D692B1_12908/1-86 CCUUU-GGAGUGUG-ACACCAGA-------------------------------CGUUAGU-AGAA--CGCU--GAAUUU------UCAAC------------GAAUUUUCAGC----UUC-GAGAACG-CACAC-GAGGA-AAAAGGAA +URS0000D69F2A_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAACGCUG-AAUUUU--------CAAC---------------GAAUUUUCAAC--UUC-GAGAACG-CACAC-GAGGA-AAAAGGAA +URS0000D6657D_12908/1-86 CCUUU-GGAGUGUG-ACACCAGA-------------------------------CGUUAGU-AGAA-CGCUGAAUUUU--------CAAC---------------GAAUUUUCAAC--UUC-GAGAACG-CACAC-GGGGA-AAAAGGAA +URS0000D6BEB0_12908/1-86 CCUUU-GGAGUGUG-ACACCAAA-------------------------------CGUUAGU-AGAA---UGCUGAUUU--------UUCAAC-------------GAAUUUUCAGC--UUC-GAGAACG-CACAC-GAGGA-AAAAGGAA +URS0000D68D13_12908/1-65 CCUUU-GGAGUGUU-AAGACCA--------------------------------CUUGAGU-AGCU--A-----------------GAAAU---------------------------AGC-AAAAGAG-AACAC-GAUGA-ACAAGGAA +URS0000D6CDC0_12908/1-69 CCUUU-GGAGUGUC-AAACAAA--------------------------------CUUUAGU-AGUA---UU---------------AGCAAC--------------------AA----UAC-AAAAAAG-GACAC-UGUGA-AUAAGGAA +URS0000D68E10_12908/1-62 CCUUU-GGAGUGUU-AGACCA---------------------------------CUUGAGU-AGCA--A-----------------UUA-----------------------------UGC-GAAAAAG-AACAU-GAUGA-AGAAGGAA +URS0000D665FA_1511/1-68 CCUUG-GAAGUGUU-AGACCA---------------------------------CUUGAGU-AGUA---UU---------------AGAAAU--------------------AA----UGC-GAAAAAG-AACAC-AAUGA-AUAAGGAA +URS0000D68F4C_445337/1-69 CCUUU-GGAGUGUU-ACAACCA--------------------------------CUUGAGU-AGUA---UU---------------AGUAAU--------------------AA----UAC-GAAAAAG-AACAC-GUUGA-AAAAGGAA +URS0000D6AD38_12908/1-67 CCUUU-GGAGUAUU-AAGAACC--------------------------------CUUGAGU-AGUU---CU---------------UUUU----------------------AG----AAU-GAAAAAG-AAUAC-GAUGA-AUUAGGAA +URS0000D66BAD_12908/1-67 CCUUU-GGAGUAUU-AUGAAAC--------------------------------CUCGAGU-AGUU-CG-----------------UUUUA------------------------G--AAU-GAAAGAG-AAUAC-GAUGA-AUUAGGAA +URS0000D68C45_12908/1-66 CUUGU-GGACUAUC-AUAUCAA--------------------------------CUGUAUU-AGUG--A-----------------GUUUUA--------------------------UAC-GAGGCAG-GAUAG-GGAGA-AGCAAGAA +URS0000D6B1A1_12908/1-66 CUUGU-GGACUAUC-AUAUCAA--------------------------------CUGUAUU-AGUG--A-----------------GUUUUA--------------------------UGC-GAGGCAG-GAUAG-GGAGA-AGCAAGAA +URS0000D67B76_12908/1-66 CUUGU-GGACUAUC-AUACCAA--------------------------------CUGUAUU-AGCG--A-----------------GUUUCA--------------------------UGC-GAGGCAG-GAUAG-GGAGA-AGCAAGAA +URS0000D6BC59_12908/1-66 CUUGU-GGACUAUC-AUAUCAA--------------------------------CUGUAUU-AGCG--A-----------------GUUUCG--------------------------UGC-GAGGCAG-GAUAG-GAAGA-AGCAAGAA +URS0000D68536_12908/1-66 CUUGU-GGACUAUC-AUAUCAA--------------------------------CUGUAUU-AGCAAUUUU-----------------------------------------GA----UGC-GAGGCAG-GAUAG-GAAGA-AGCAAGAA +URS0000D65B7F_12908/1-67 CUUGU-GGACUAUC-AAAACAA--------------------------------CUGUAGU-AGUG---AA---------------CUUU----------------------UU----GGC-GAGGCAG-GAUAG-GAAGA-AGCAAGAA +URS0000D6C8DF_12908/1-66 CUUGU-GGACUGUU-ACAUCAA--------------------------------CUGUAGU-AGCG---AG----------------CUUUU--------------------------GGC-GAGGCAG-GACAG-GAUAA-AGCAAGAA +URS0000D6B11D_12908/1-66 CUUGU-GGACUAUC-AUAUCAA--------------------------------CCAUAGU-AGAG-UA-----------------CUUGU---------------------------GUC-GAGGUGG-GAUAG-GAUGA-AGCAAGAA +URS0000D6C7B7_797516/1-66 CUUGU-GGACUAUC-AUAUCAA--------------------------------CCAUAGU-AGAG-UGC-----------------U------------------------UGU---GUC-GAGGUGG-GAUAG-GAUGA-AGCAAGAA +URS0000D6CE03_12908/1-67 CCUUC-GGAGUGCC-AAACAAG--------------------------------UCGGAGU-AGGU--A------------------GCAAUAA------------------------GCC-CAAACGA-GGCAC-GUUGA-ACAAGGAA +URS0000D6BFAF_12908/1-67 CCUAC-GGACUGUC-ACACAAA--------------------------------UGAUAGU-AACU-CGAA---------------UU------------------------U--U--AGU-GAACUCA-GACAG-GUUGA-ACUAGGAA +URS0000D6815E_12908/1-67 CCUAC-GGACUGUC-GUACUAA--------------------------------CGAAAGU-AGCU-CGA----------------AU-UU-----------------------U---AGU-GAACUCA-GGCAG-GUUGA-ACUAGGAA +URS0000D6986A_12908/1-69 CCUUU-GGAGCGAU-AUAGAAAAA------------------------------CUAGAUU-AGCU-UAG----------------UUUUU---------------------------AGU-GAAAUAG-GUCGC-CAUGA-AUUAGGAA +URS0000D68116_12908/1-64 CCUUU-GGAGUGUA-AAU---A-------------------------------GCUUUAGU-AGUCUUA-----------------GG------------------------UA----GGC-GAGGAAG-UACAC-GUUGA-AUAAGGAA +URS0000D68C08_12908/1-75 UCUAC-GGAGUGCG-AUACCAAA-------------------------------CGUUAGU-AGCGAGACG---------------GGAAUC--------------------CGUU--AGC-GAGAACG-CGCAC-AUUGA-ACUAGAAA +URS0000D69444_12908/1-74 CCUUU-GGAGUGCG-AUAUCAAA-------------------------------CAUUAGU-AGCUCGAA----------------CGAAA----------------------GUAAGGGC-GAGGACG-CGCAC-GUUGA-AAAAGGAA +URS0000D6AB4D_12908/1-66 CCUUU-GGAGUGCG-AUAUCAAA-------------------------------CGUUAGU-AGUU---C----------------GU-------------------------GAG--GGC-GAGAACG-CGCAC-GUUGA-AAAAGGAA +URS0000D65AD4_12908/1-75 UCUAC-GGAGUGCG-AUACCAAA-------------------------------CGUUAGU-AGC--GAGACGG------------GAAU-------------------CCGUCA----GC-GAGAACG-CGCAC-GUUGA-AAUAGAAA +URS0000D688A2_12908/1-62 CCUUU-AGACUACU-AAGAAAA--------------------------------CUCAAGU-AGCUUUU-------------------------------------------------AGC-AAAAGAG-AGUAG-GUUGA-UGAAGGAA +URS0000D6B27E_12908/1-70 CCUCU-GGAGUAUC-ACACCAA--------------------------------CGAAAGU-AGUU-UCUU---------------G-AAAA--------------------AG----UAC-AAAAUCG-GAUAC-UGAGA-AAGAGGAA +URS0000D695E4_1150157/1-67 CUUGU-GGAGUGCU-AUAUCAAA-------------------------------UUGUGGU-AGCG--A-----------------AUAAGU--------------------------GGC-GAAGCGA-GGCAC-AUAGA-AGCAAGAA +URS0000D68B79_12908/1-65 ACUGU-GGAGAGUU-AUAUACAAA------------------------------CGAUAGU-AGCA--------------------GGAA----------------------------UGC-AAGGUCG-GACUC-GUUGA-AACAGUAA +URS0000D6B63D_12908/1-73 ACUGU-GGAGUGUA-CUUUGGAUC------------------------------UGCCGGU-AGCA-GAUG---------------GAAA----------------------CAUC--UGC-GAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D6A16E_12908/1-65 CCCUU-GGAGUAUC-ACACCAA--------------------------------CUCAAGU-ACUU-UG-------------------UA------------------------AA--AAG-GAAAGAG-GAUAC-GUUGA-AUGGGGAA +URS0000D6BCF8_12908/1-63 CCCUG-GGAGUAUC-AUACCAA--------------------------------CUUGAGU-AACCAU------------------UA------------------------------GGU-GAAAGAG-GAUAC-GUUGA-AUAGGAAA +URS0000D6B728_12908/1-63 CCCUG-GGAGUAUC-ACACAAA--------------------------------CUCAAGU-AGCCAU------------------UA------------------------------GGU-GAAAGAG-GAUAU-GUUGA-AUAGGGAA +URS0000D6CF23_12908/1-63 CCUAU-GGAGUAUU-AUACCAAA-------------------------------CUUGAGU-AG----------------------GUUUUUA---------------------------C-GAAAAAG-GAUAC-AGUGA-AGUAGGAA +URS0000D666AA_12908/1-75 UCUUU-GAAGUGUA-CUUGAACA-------------------------------UGUGAGU-AGUU-GUUG---------------GAUUUAUC------------------CAA---AAC-CAAAGCA-UACAC-GAUGA-AGAAUAAA +URS0000D68AC5_12908/1-75 UCUUU-GAAGUGUA-CUAGAACA-------------------------------UAUGAGU-AGUU-GUUG---------------GAUUUAUC------------------CAA---AAC-CAAAGCA-UACAC-GAUGA-AGAAUAAA +URS0000D6671E_12908/1-75 UCUUU-GAAGUGUA-CUAGAACA-------------------------------UGUGAGU-AGUU-GUUG---------------GAUUUAUC------------------CAA---AAC-CAAAGCA-UACAC-GAUGA-AGAAUAAA +URS0000D66AFE_1033739/1-67 CCUGU-GGAGAGUG-AUACGAAA-------------------------------CGUUAGU-AGGG--AGU-----------------------------------------ACGU--GCC-GAGGACG-CAUUC-UAAGA-AGCAGGAA +URS0000D6A62B_1033739/1-67 CCUGU-GGAGAGUG-AUACGAAA-------------------------------CGUUAGU-AGGG--AGU-----------------------------------------ACGU--GCC-GAGGACG-CAUUC-UGAGA-GGCAGGAA +URS0000D672A9_1033739/1-67 CCUGU-GGAGAAUG-ACACCAAA-------------------------------CGUUAGU-AGGG--AGU-----------------------------------------ACGU--GCC-GAGAACG-CAUUC-UAAGA-AGCAGGAA +URS0000D6B1A5_1033739/1-67 CCUGU-GGAGAAUG-ACACGAAA-------------------------------CGUUAGU-AGGG--AGU-----------------------------------------ACGU--GCC-GAGGACG-CAUUC-UGAGA-AGCAGGAA +URS0000D68D88_1033740/1-67 CCUGU-GGAGAAUG-AUACAAAA-------------------------------CGUUGGU-AGGG--AGU-----------------------------------------ACGU--GCU-GAAGACG-CAUUC-UAAGA-AGCAGGAA +URS0000D67791_1033739/1-64 CCUGU-GGAGAGUG-AUACGAAA-------------------------------CGUUAGU-AGGU---AC-----------------------------------------GU----GCC-GGGGACG-CAUUC-UGAGA-AGCAGGAA +URS0000D6C2E1_1033739/1-67 CCUGU-GGAGAGUG-AUACGAAA-------------------------------CGUUAGU-AGGG--A-----------------GCAAGU--------------------------GCC-GAGGACG-CAUUC-UGAGA-AGCAGGAA +URS0000D6957A_1033739/1-67 CCUGU-GGAGAGUG-ACACGAAA-------------------------------CGUUAGU-AGGG--A-----------------GCAAGU--------------------------GCC-GAGGACG-CAUUC-UGAGA-AGCAGGAA +URS0000D6D2FB_12908/1-79 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAC---ACAUGAG----------CAAAG----------------UCCAUGU----GUC-GAGGUCA-GACAC-GGUGA-UGUAGGAA +URS0000D6BF4C_12908/1-79 CCUAU-UGAGUGUU-ACAUCAAA-------------------------------UGAUAGU-AGAC---ACAUGAGC---------AAA-----------------GCUCAUGU----GUC-AAGGUCA-GACAC-GGUGA-UGUAGGAA +URS0000D65CAA_12908/1-79 CCUAU-UGAGUGUU-ACAUCAAA-------------------------------UGAUAGU-AGAC---AC--AUGAG--------CUUUG--------------CUCAU--GU----GUC-AAGGUCA-GACAC-GGUGA-UGUAGGAA +URS0000D65DB7_12908/1-79 CCUAU-UGAGUGUU-AUACCAAA-------------------------------UGAUAGU-AGAC---AC--AUGAG--------CUUUG--------------CUCAU--GU----GUC-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D690EB_12908/1-79 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAC---AC--AUGAG--------CUUUG--------------CUCAU--GU----GUC-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D6BDE1_12908/1-64 UCUGU-GGAGAGUC-GUAACAAA-------------------------------CUAGAGU-AGUA-GA-----------------AA------------------------------UAC-AAAAUAG-GACUU-AUUGA-AGCAGAAA +URS0000D68171_12908/1-64 UCUGU-GGAGAGUU-AUACCAAA-------------------------------CUAGAGU-AAAC--A-----------------UUA-----------------------------GUU-GAAAUAG-GACUU-GAUGA-AACAGAAA +URS0000D68244_12908/1-64 UCUGU-GGAGAAUU-AUAUAAAA-------------------------------CUAAAGU-AAUA-G------------------AAA-----------------------------UAU-GAAAUAG-GAUUC-UUUGA-AACAGAAA +URS0000D6CA73_12908/1-64 UCUGU-GAAGAGUU-AUACCAAA-------------------------------CUAAAGU-AAUA-G------------------AAA-----------------------------UAU-GAAAUAG-GACUC-GUUGA-AACAGAAA +URS0000D6D280_12908/1-64 UCUGU-GGAGAGUU-AUACCAAA-------------------------------CUAGAGU-AGUA-G------------------AAA-----------------------------UAU-GAAAUAG-GACUU-GAUGA-AACAGAAA +URS0000D666FE_12908/1-64 UCUGU-GGAGAGUU-AUACCAAA-------------------------------CUAGAGU-AGUA-G------------------AAA-----------------------------UAU-GAAAUAG-GACUC-AGUGA-AACAGAAA +URS0000D6C1BE_12908/1-64 UCUGU-GGAGAGUU-AUGCCAAA-------------------------------CUAGAGU-AGUA-G------------------AAA-----------------------------UAC-GAAAUAG-AACUC-ACUGA-AACAGAAA +URS0000D6A00E_12908/1-64 CCUUU-GGAGUGCU-AUAUCAAA-------------------------------CAAUAUU-AGGU-U------------------UAU-----------------------------ACC-GAGGUUG-GGCAC-GAAGA-AUAAGGAA +URS0000D66340_12908/1-70 CCUUU-GGAGAAGU-AUACAAA--------------------------------CUAUAGU-AGCU--AUU---------------CUUUG---------------------AAU---GGU-GAAAUAG-GCUUU-GGUGA-AUUAGGAA +URS0000D6C7F4_500633/1-69 CCUUU-GGAGAAGU-AUACAAA--------------------------------CUAAAGU-AGCU--AUA---------------UUUGUA---------------------U----AGU-AAAAUAG-GCUUC-GUUGA-AUUGGGAA +URS0000D68635_12908/1-77 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGGUAGU-AGGA---GUG---GAG--------UGAAU--------------CUCC---AC----UCC-GAGGGCA-GACAC-GAUGA-UGUAGGAA +URS0000D68614_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAAGUAAG---------------GCUUG---------------------CUUCGCUUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D69C14_12908/1-78 CCUAU-UGAGUGUU-CUAUCAAA-------------------------------UGAUAGU-AGAU---GU--AAAGC--------CUUU---------------GCUUU--AC----UUC-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D6BA20_12908/1-75 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAU---GUGAG------------AAAC--------------------UCUCAU--AUU-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D69498_12908/1-75 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAU-GUGAG--------------AUUAU--------------------CUCAU--AUU-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D6C18C_12908/1-75 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAU-GUGAG--------------AUUAU--------------------CUCAU--AUU-AAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D6C4A2_12908/1-75 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAU-GUGA------------G--AAAC----------------------UCUCAUGUU-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D6BAC4_12908/1-75 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAU-GUGA------------G--AAAC----------------------UCUCAUAUU-GAGGUCA-GAUAC-GAUGA-UGUAGGAA +URS0000D658C1_12908/1-77 CCUAU-UGAGUGUU-GCAUCAAA-------------------------------UGAUAGU-AGAA---GUAAAG-----------UCUUA-----------------CUUUAC----UUU-GAAGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D65AAE_12908/1-78 CCUAU-UGAGUGUU-CUACCAAA-------------------------------UGAUAGU-AGAA---GUAAAGU----------UUUU-----------------ACCUUAC----UUU-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D698F0_12908/1-78 CCUAU-UGAGUGUU-ACACAAAA-------------------------------UGAUAGU-AGAU---GUAAAG-----------UCUUUG----------------CUUUAC----UUU-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D6942C_12908/1-78 CCUAU-UGAGUGUC-AUACAAAA-------------------------------UGAUAGU-AGAU---GUAAAG-----------UCUUUG----------------CUUUAC----UUU-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D682B4_12908/1-77 CCUAU-UGAGUGUU-CUAUCAAA-------------------------------UGAUAGU-AGAG---GUAAAG-----------UUUUA-----------------CUUUAC----UUU-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D69EF9_12908/1-78 CCUAU-UGAGUGUU-CUAUCAAA-------------------------------UGAUAGU-AGAU---GUAAAG-----------UCUUUG----------------CUUUAC----UUU-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D65EC7_12908/1-77 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUAA----A--------AUUAUACU----------------UUAC----UUU-GAGGUCA-GACAC-GUUGA-UGUAGGAA +URS0000D6C73F_12908/1-72 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GU---------------AAAGUUAU------------------AC----UUU-GAGGUCA-GACAC-AUUGA-UGUAGGAA +URS0000D68D96_12908/1-76 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAA-GUGA---------------GGGUUG-------------CU-----UCGC--UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D68413_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA-GUGA---------------GGUUUACU------------------UCGC--UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D6BF9D_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA-GUGA---------------GGUUUACU------------------UUGC--UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D6AD88_12908/1-76 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAA-GUGA---------------GGCUUGCU------------------UCGC--UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D68BBE_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUGA-------------GAUUUACC----------------UCAC----UUU-GAGGUCA-GACAC-GGUGA-UGUAGGAA +URS0000D68E78_12908/1-74 CCUAU-UGAGUGUC-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUG--------------AGUUUUCU-----------------CAC----UUU-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D6C470_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GU-----GA--------GGUUUACU-----------UU-----AC----UUU-GAGGUCA-GACAC-GAUGA-UGUAGGAA +URS0000D67518_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUG-----A--------GGUUUACU-----------U-----CAC----UUU-GAGGUCA-GACAU-GAUGA-UGUAGGAA +URS0000D68C26_12908/1-76 CCUAU-UAAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUG-----A--------GAUUUACU-----------U-----CAC----UUU-GAGGUCA-GGCAC-AGUGA-UGUAGGAA +URS0000D6C91A_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUG-----A--------GGUUUACU-----------U-----CAC----UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D695D7_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUG-----A--------GGUUUCCU-----------U-----CAC----UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D668FF_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUG-----A--------AGUUUGCU----------------UCAC----UUU-GAGGUCA-GACAC-AGUGA-UGUAGGAA +URS0000D6C70F_12908/1-76 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAA---GUGA-------------GGUUUGCU----------------UCAC----UUC-GAGGUUA-GACAC-AGUGA-UGUAGGAA +URS0000D69B66_12908/1-75 CCUAU-UGAGUGUU-AUAUCAAA-------------------------------UGAUAGU-AGAU--AUGAG-------------AGUAU-------------------CUCAU---AUU-GAGGUCA-GACAC-AAUGA-UGUAGGAA +URS0000D6AD42_12908/1-70 ACUGC-GGAGUAUA-AGUUUAU--------------------------------UGUAAGU-AGUA-UACU---------------AUUU----------------------AGU---UGC-GAAAGCG-UAUAC-AAUGA-AACAGUAA +URS0000D67223_12908/1-66 CCUUU-GGAGUAUU-AUAUCAAA-------------------------------UGUUAGU-AGUUCUA-----------------CGG-----------------------------AAC-AAGGACA-GAUAC-AAUGA-AAAAGGAA +URS0000D68AEF_12908/1-64 CCUUU-GGAGUAUU-AUAUCAA--------------------------------UGUUAGU-AGUUCUA-----------------CGG-----------------------------AAC-AAGGACA-GAUAC-AAUG--AAAAGGAA +URS0000D6ACD1_12908/1-66 CCUUU-GGACUGUU-AUAUCAAA-------------------------------CCAUAGU-AGUU--A-----------------GCAAU---------------------------AAC-GAGGUGG-GACAG-GUUGA-AGAAGGAA +URS0000D6A94B_12908/1-66 CCUGU-GGAGUGUU-AAGCAAA--------------------------------CUGUAGU-AGCA--------------------GGAUAGA-------------------------CGC-GAGGCAG-AACAC-GAUGA-AGCAGGAA +URS0000D68C6B_12908/1-61 GCUGU-GGAGUGCC-ACACAAA--------------------------------CGCAAGU-AGCU--------------------AC------------------------------GGC-GAAAGCG-GGUAC-UGAGA-AGCAGUAA +URS0000D6C254_12908/1-65 GCUGU-GGAGAGCA-AAAACAAA-------------------------------UACAAGU-AGAU--A-----------------UUUU----------------------------ACC-AAAAGUA-UGUUC-GUUGA-AUCAGCAA +URS0000D6A25D_12908/1-65 GCUGU-GGAGAGCA-AAAACAAA-------------------------------UACAAGU-AGAU--A-----------------UUUU----------------------------AUC-AAAAGUA-UGUUC-GUUGA-AUCAGCAA +URS0000D67A96_12908/1-66 GCUGU-GGAGAGCA-AAAACAAA-------------------------------GACGAGU-AGAU--A-----------------UUUUU---------------------------AUC-AAAAGUA-UGUUC-GUUGA-AGCAGCAA +URS0000D6C46E_12908/1-66 GCUGU-GGAGAGCA-AAAACAAA-------------------------------UACGAGU-AGAU--A-----------------UUUUU---------------------------AUC-AAAAGUA-UGUUC-GUUGA-AGCAGCAA +URS0000D67A23_12908/1-67 GCUGU-GGAGAGCA-AAAACAAA-------------------------------UACGAGU-AGAU--A-----------------UUUUUU--------------------------AUC-AAAAGUA-UGUUC-GUUGA-AGCAGCAA +URS0000D6884A_12908/1-66 GCUGU-GGAGAGCA-AAAACAAA-------------------------------UACAAGU-AGAU--A-----------------UUUUU---------------------------AUC-AAAAGUA-UGUUC-GUUGA-AGCAGCAA +URS0000D695C0_12908/1-65 GCUGU-GGAGAGCA-AAAACAAA-------------------------------UACGAGU-AGAU--------------------AUUUU---------------------------AUC-AAAAGUA-UGUUC-GUUGA-AGCAGCAA +URS0000D6849A_12908/1-69 ACUGU-GGAGAGCA-AAAAGAA--------------------------------UACGAGU-AGAU---AA---------------UUUUUU--------------------UU----AUC-AAAAGUA-UGUUC-GAUGA-AGCAGUAA +URS0000D69F8B_12908/1-66 GCUGU-GGAGAGCA-AAACAAA--------------------------------UGCGAGU-AGAC--A-----------------UUUCAU--------------------------GUC-AAAAGCA-UGUUC-GUUGA-AGCAGCAA +URS0000D6B6A1_12908/1-66 GCUGU-GGAGAGCA-AAACAAA--------------------------------UAUGAGU-AGAU--A-U---------------UU-U----------------------AU----AUC-AAAAAUA-UGUUC-GUUGA-AACAGCAA +URS0000D676A0_12908/1-75 CCUAC-GGAGAGUA-UAUAACAA-------------------------------UGCAAGU-ACUG-UUUG---------------GAGGUAUC------------------CAU---CAG-GAAAACA-UACUC-GAUGA-AGUAGGAA +URS0000D6BB62_12908/1-71 GCUGU-GGACUGUA-CAAGGACC-------------------------------UGCAAGU-AGCG--AUC---------------CGAAA---------------------GGA---UGC-AAAAGCA-UACAG-GAUGA-AGCAGCAA +URS0000D6CD8C_12908/1-71 GCUGU-GGACUGUA-CAAGGACC-------------------------------UGCGAGU-AGCA--AUC---------------CGAAA---------------------GGA---UGC-AAAAGCA-UACAG-GAUGA-AGCAGCAA +URS0000D657D3_12908/1-71 GCUGU-GGACUGUA-CAAGGACC-------------------------------UGCGAGU-AGCA--AUC---------------CGAAA---------------------GGA---UGC-GAAAGCA-UACAG-GAUGA-AGCAGCAA +URS0000D65BC2_12908/1-73 CCUUU-GGCGUGCA-CUAGAACU-------------------------------UGUGAGU-AGCU--GCU---------------GAACUUUC------------------AG----AGC-AAAAACA-UGCAC-GAUGA-AUAAGGAA +URS0000D6AECA_12908/1-86 CCUUU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AA-CUUAGUU-------GUUAU-------------AACUUAG-UUGUU-AUU-GAAAAUA-UACUC-AUUGA-AUAAGGAA +URS0000D6AE94_12908/1-67 ACUAU-GGAGAGUA-UAAGAAUU-------------------------------UAUGAGU-AAAU-ACAA-----------------------------------------UUU---AUU-GAAAGUA-UGCUC-GUUGA-AGUAGUAA +URS0000D69C98_12908/1-69 ACUAU-GGAGAGUA-CAAUAACU-------------------------------UAUGAGU-AAAU---AC---------------AUUUU---------------------GU----AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6AB07_12908/1-67 ACUAU-GGAGAGUA-CAAGAACC-------------------------------UAUGAGU-AGAUACAAU-----------------------------------------AU----AUU-GAAAAUA-UACUC-GUUGA-AAUAGUAA +URS0000D6A167_12908/1-69 ACUAU-GGAGAGUA-CAAGGACC-------------------------------UAUGAGU-AAAU--AAC---------------UUU-----------------------GUU---AUU-GAAAAUA-UACUC-GUUGA-AAUAGUAA +URS0000D6BA27_12908/1-69 ACUAU-GGAGAGUA-CAAGGACC-------------------------------UAUGAGU-AGAU--AAC---------------UUC-----------------------GUU---AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D65DED_1316587/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--A-C---------------UAU-----------------------GU----AUU-GAAAGUA-UGCUC-GUUGA-AGUAGUAA +URS0000D65DED_393480/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--A-C---------------UAU-----------------------GU----AUU-GAAAGUA-UGCUC-GUUGA-AGUAGUAA +URS0000D6A015_1216362/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--A-C---------------UAU-----------------------GU----AUU-GAAAGUA-UACUC-GUUGA-AGUAGUAA +URS0000D67875_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AC---------------AAA-----------------------GU----AUU-GAAAAUA-UACUC-GAUGA-AGUAGUAA +URS0000D6BC8D_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AC---------------AAA-----------------------GU----AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6BC8D_469599/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AC---------------AAA-----------------------GU----AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6BC8D_861452/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AC---------------AAA-----------------------GU----AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6618A_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AC---------------AAA-----------------------GU----AUU-GAAAGUA-UACUC-GUUGA-AGUAGUAA +URS0000D67B3E_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU---AC---------------AAA-----------------------GU----AUU-GAAAAUA-UACUC-GUUGA-AAUAGUAA +URS0000D69426_12908/1-67 ACUAU-GGAGAGUA-UAAGGAAC-------------------------------UAUGAGU-AGAU--ACU---------------A-------------------------AGU---AUU-GAAAAUA-UACUC-GUUGA-AAUAGUAA +URS0000D65FCE_620833/1-67 ACUAU-GGAGAGUA-CAAGAAAC-------------------------------UAUGAGU-AGAU--ACU---------------A-------------------------AGU---AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D66727_12908/1-75 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACUAAG------------AUA--------------------CAUAGU---AUC-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D67250_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACU---------------A-------------------------AGU---AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D67250_546275/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACU---------------A-------------------------AGU---AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D67250_469621/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACU---------------A-------------------------AGU---AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6AEF2_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACU---------------A-------------------------AGU---AUU-GAAAAUA-UACUC-GUUGA-AAUAGUAA +URS0000D6A0FC_12908/1-83 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACUAAG---A--------UACAUAGA-----------U--ACAAAGU---AUU-GAAAAUA-UACUC-AAUGA-AGUAGUAA +URS0000D6C849_1316587/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA----------------U------------------------UGU---AUU-GAAAGUA-UACUC-GUUGA-AGUAGUAA +URS0000D6A723_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA----------------U------------------------UGU---AUU-GAAAGUA-UACUC-GCUGA-AGUAGUAA +URS0000D664B7_1216362/1-67 ACUAU-GGAGAGUA-CAAGGAAU-------------------------------UAUGAGU-AGAU--ACA----------------U------------------------UGU---AUU-GAAAAUA-UACUC-AUUGA-AGUAGUAA +URS0000D65B1F_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA---------------U-------------------------UGU---AUU-GAAAGUA-UAUUC-AUUGA-AGUAGUAA +URS0000D65EC1_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA---------------U-------------------------UGU---AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D69E09_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA---------------U-------------------------UGU---AUU-GAAAAUA-UACUC-AUUGA-AGUAGUAA +URS0000D69E09_1316587/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA---------------U-------------------------UGU---AUU-GAAAAUA-UACUC-AUUGA-AGUAGUAA +URS0000D69E09_393480/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA---------------U-------------------------UGU---AUU-GAAAAUA-UACUC-AUUGA-AGUAGUAA +URS0000D669FF_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA---------------U-------------------------UGU---AUU-GAAAAUA-UACUC-AUUGA-AAUAGUAA +URS0000D686B5_12908/1-68 ACUAU-GGAGAGUA-CAAGGAAU-------------------------------UAUGAGU-AGAU--ACA----------------U------------------------UGU---AUUGAAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D69DF2_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--ACA----------------U------------------------UGU---AUU-GAAAGUA-UGUUA-GUUGA-AGUAGUAA +URS0000D68ED8_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--A-----------------CCAAGU--------------------------AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6B1DE_12908/1-67 ACUAU-GGAGAGUA-CAAGAAAC-------------------------------UAUGAGU-AGAU--A-----------------CGAAGU--------------------------AUU-GAAAGUA-UACUC-GUUGA-AGUAGUAA +URS0000D6D001_12908/1-67 ACUAU-GGAGAGUA-CAAGGAAC-------------------------------UAUGAGU-AGAU--A-----------------CAAG------------------------GU--AUU-GAAAAUA-UACUC-GUUGA-AGUAGUAA +URS0000D6607F_12908/1-73 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CUUGU-GGAGAGUA-UAUAAAGA-------------------------------UGUGAGU-AGUA-UUUA---------------AGUUUACU------------------UAG---UAC-AAAAACA-UACUC-AAUGA-AGCAAGAA +URS0000D673F2_12908/1-72 CCUAU-GGAGAGUA-CAAGAACU-------------------------------UGUGAGU-AGAU-UGAU---------------AUUAU---------------------AUC---AUC-AAAAGCA-UACUC-GUUGA-AGUAGGAA +URS0000D677D6_12908/1-73 CCUAU-GGAGAGUA-CAAGAACU-------------------------------UGUGAGU-AGAU-UGAU---------------AUUUAU--------------------AUC---AUC-AAAAGCA-UACUC-GUUGA-AGUAGGAA +URS0000D677D6_1095771/1-73 CCUAU-GGAGAGUA-CAAGAACU-------------------------------UGUGAGU-AGAU-UGAU---------------AUUUAU--------------------AUC---AUC-AAAAGCA-UACUC-GUUGA-AGUAGGAA +URS0000D6A6AA_12908/1-73 CCUAU-GGAGAGUA-CAGGAACU-------------------------------UGUGAGU-AGAU-UGAU---------------AUUUAU--------------------AUC---AUC-AAAAGCA-UACUC-GUUGA-AGUAGGAA +URS0000D6A6AA_457412/1-73 CCUAU-GGAGAGUA-CAGGAACU-------------------------------UGUGAGU-AGAU-UGAU---------------AUUUAU--------------------AUC---AUC-AAAAGCA-UACUC-GUUGA-AGUAGGAA +URS0000D688ED_12908/1-73 CCUAU-GGAGAGUA-CAGGAACU-------------------------------UGUGAGU-AGAU-UGAU---------------AUUUAU--------------------AUU---AUC-AAAAGCA-UACUC-GUUGA-AGUAGGAA +URS0000D67130_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGUGU-AGCG-UAUA----------------GUGUACA------------------A----UCGC-CAAAGCA-NACAC-AUAGA-AGCAGUAA +URS0000D6AD06_12908/1-74 ACUGU-GGAGUGUA-CAGGAACU-------------------------------UGUAAGU-AGUG--AAUUA-------------UUUGAU-------------------AAU----CAC-AAAAGCA-UACAC-GGUGA-AGCAGUAA +URS0000D6AD06_1262755/1-74 ACUGU-GGAGUGUA-CAGGAACU-------------------------------UGUAAGU-AGUG--AAUUA-------------UUUGAU-------------------AAU----CAC-AAAAGCA-UACAC-GGUGA-AGCAGUAA +URS0000D6C668_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUUAGU-AGCA--AGUUGC------------CA---------------------GCAAC----UGC-CAACGCA-UACAC-AAUGA-AGCAGUAA +URS0000D67B66_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUUAGU-AGCA--AGUUGC------------CA---------------------GCAAC----UGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D67D49_12908/1-74 ACUGU-GGAGUGUA-CACAAACC-------------------------------UGCGAGU-AGCG-UAUU---------------ACUUUGU-------------------AAU---CGC-CAAAGCA-UGCAC-AUUGA-AGCAGUAA +URS0000D676AB_12908/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG---------------UAUUUAUU------------------CAGG---GC-GAAAGCA-UAUAC-AGAGA-AGCAGUAA +URS0000D66439_476272/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG---------------UAUUUACU------------------CAG---GGC-GAAAGCA-UAUAC-AGAGA-AGCAGUAA +URS0000D66439_12908/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG---------------UAUUUACU------------------CAG---GGC-GAAAGCA-UAUAC-AGAGA-AGCAGUAA +URS0000D65D8B_12908/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG------------G--AUGUAU-------C------------CAG---UAC-AAAAGCA-UAUAC-GGUGA-AGCAGUAA +URS0000D65D8B_999413/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG------------G--AUGUAU-------C------------CAG---UAC-AAAAGCA-UAUAC-GGUGA-AGCAGUAA +URS0000D65D8B_469614/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG------------G--AUGUAU-------C------------CAG---UAC-AAAAGCA-UAUAC-GGUGA-AGCAGUAA +URS0000D680DB_12908/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG---------------GAUUUAUC------------------CAG---UAC-AAAAGCA-UAUAC-GGUGA-AGCAGUAA +URS0000D6809D_658657/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG---------------GAUGUAUC------------------CAG---UAC-AAAAGCA-UAUAC-AGUGA-AGCAGUAA +URS0000D6809D_12908/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UCUG---------------GAUGUAUC------------------CAG---UAC-AAAAGCA-UAUAC-AGUGA-AGCAGUAA +URS0000D6570A_12908/1-104 ACUGU-GAAGUGUA-CAUAGUUGUUCCAACAUUGGUUGUUCCAACAUUGGAACUUGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAACA-UACAC-AUCGA-AGCAGUAA +URS0000D6C061_12908/1-104 ACUGU-GAAGUGUA-CAUAGUUGUUCCAACAUUGGUUGUUCCAACAUUGGAACUUGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D6D40E_12908/1-73 ACUGU-GGAGUGUA-CCAGAACU-------------------------------UGUGAGU-AGUG--AGU---------------UACUUGUA------------------AC----CAC-AAAAGCA-UACAU-GGUGA-AGCAGUAA +URS0000D6A289_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGAC--AGAAC-------------UUCG--------------------GUUC----GUC-AAAAGCA-UACAC-GGUGA-AGCAGUAA +URS0000D6C1EF_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGAC--AGAAC-------------UUCG--------------------GUUC----GUC-AAAAGCA-UACAC-GAUGA-AGCAGUAA +URS0000D6AAD9_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGAC--AGAA--------------UUUCGA-------------------UUC----GUC-AAAAGCA-UACAC-GAUGA-AGCAGUAA +URS0000D66DD1_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUU-UAUUUA-------------ACUGUGU-----------------UAAAU---UAC-AAAAACA-UAUAU-GAUGA-AGCAGUAA +URS0000D6D2F4_12908/1-80 ACUGU-GGAGUAUA-CGUGAACU-------------------------------UGUGAGU-AGUA-UAUUUAAU-----------UUUGU-----------------GUUGAAU---UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D6CD36_12908/1-75 ACUGU-GGAGUAUA-CGAGAACU-------------------------------UGUGAGU-AGUA-UAUUU--------------AAUAAU--------------------AAAU--UAC-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D6BEC1_12908/1-78 ACUGU-GGAGUAUA-GAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUGUGUU------------------AAGU--UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D6CD11_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUCA-------------ACUUUGU-----------------UGAAU---UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D69AF4_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUCG-------------ACUUUGU-----------------UGAAU---UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D6D38E_12908/1-78 ACUGU-GGAGUAUA-GAAGAACU-------------------------------UGUGAGU-AGUA-UAUUCA-------------ACUUUGU-----------------UGAGU---UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D66B6E_12908/1-79 ACUGU-GGAGUAUA-CGAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUUAU----------------UAAAU---UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D68729_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUAA------------CUUUG------------------UUGAAU---UAC-AAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D65E1F_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGCGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-AAAAGCA-UAUAU-GAUGA-AACAGUAA +URS0000D6D3DA_12908/1-78 ACUGU-GGAGUAUA-GAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-GAAAGCA-UAUAC-GAUGA-AGCAGUAA +URS0000D68145_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------U-AAGU--UAC-AAAAACA-UAUAC-GUUGA-AGCAGUAA +URS0000D6A8FA_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-CAAAGCA-UAUAC-GUUGA-AACAGUAA +URS0000D6D31F_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-AAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D67F09_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUAAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-AAAAGCA-UAUAC-AUUGA-AGCAGUAA +URS0000D6ABF9_12908/1-78 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-AAAAGCA-UAUAC-AUUGA-AGCAGUAA +URS0000D69D0B_12908/1-78 ACUGU-GGAGUAUA-CAAUAACU-------------------------------UGUGAGU-AGUA-UAUUUA-------------AUUUUAU-----------------UAAAU---UAC-AAAAGCA-UAUAC-GUUGA-AACAGUAA +URS0000D68801_12908/1-77 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUU--------------AAUUUAUU------------------AAAU--UAU-GAAAACA-UAUAC-GUUGA-AGCAGUAA +URS0000D6895D_12908/1-77 ACUGU-GGAGUAUA-GAAGAACU-------------------------------UGUGAGU-AGUA-UAUUU--------------AAUUUAUU------------------AGAU--UAU-GAAAGCA-UAUAC-AUUGA-AGCAGUAA +URS0000D6652A_12908/1-77 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGCGAGU-AGUA-UAUUU--------------AAUUUAUU------------------AAAU--UAC-AAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D66251_12908/1-80 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUAAU-----------UUAAA-----------------AUUAAAU---UAC-AAAAGCA-UAUAC-GUUGA-AUCAGUAA +URS0000D67BB3_12908/1-78 ACUGU-GGAGUAUA-GAAGAACU-------------------------------UGUGAGU-AGUA-UAUUUAA------------UUCCA------------------UUAAAU---UAU-GAAAGCA-UAUAC-GUUGA-AGCAGUAA +URS0000D6B1A9_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGCGAGU-AGCG-CAUUGC-------------UU----------------------GCAAU---CGU-CAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D689B4_12908/1-73 ACUGU-GGAGAGUA-CAGGAACU-------------------------------UGUUAGU-AGUG-UCUG---------------GGCAAU--------------------CAG---CAC-AAAAGCA-UACUC-GUAGA-AGCAGUAA +URS0000D68A24_12908/1-73 ACUGU-GGAGUGUA-CAAAAACC-------------------------------UGUGAGU-AGCG-UAUUGC-------------CU----------------------GCAAU---CGU-CAAAACA-UACAC-AAUGA-AGCAGUAA +URS0000D69B58_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUG---UGU--------------UGCCUG--------------------CAAC--CAC-CAAAGCA-UACAC-GAUGA-AGCAGUAA +URS0000D68C14_1235796/1-75 ACUGU-GAAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUGUUGCC---------------GCUUAC--------------------GGAA--CAC-AAAAGCA-UACAC-GAAGA-AGCAGUAA +URS0000D65E5A_1235796/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUGUUGCC---------------GCUUAC--------------------GGAA--UAC-AAAAGCA-UACAC-GAAGA-AGCAGUAA +URS0000D694FE_1235796/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUGUUGCU---------------GCUUAC--------------------GGAA--CAC-AAAAGCA-UACAC-GAAGA-AGCAGUAA +URS0000D66639_1235796/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUGUUGCC---------------GCUUAC--------------------GGAA--CAC-AAAAGCA-UACAC-GAAGA-AGCAGUAA +URS0000D68892_1235796/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUGUUGGC---------------GCUUA----------------------CGGAACAC-AAAAGCA-UACAC-GAAGA-AGCAGUAA +URS0000D693C8_1235796/1-64 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUG--------------------GGAA----------------------------CAC-AAAAGCA-UACAC-GAAGA-AGCAGUAA +URS0000D65EFA_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUGAGU-AGCG-UAUU---------------GCCUGC--------------------AAU---CGU-CAAAACA-UACAC-AAUGA-AGCAGUAA +URS0000D65EFA_742765/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUGAGU-AGCG-UAUU---------------GCCUGC--------------------AAU---CGU-CAAAACA-UACAC-AAUGA-AGCAGUAA +URS0000D65EFA_411461/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUGAGU-AGCG-UAUU---------------GCCUGC--------------------AAU---CGU-CAAAACA-UACAC-AAUGA-AGCAGUAA +URS0000D6A912_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUGAGU-CGCG-UAUU---------------GUUUGC--------------------AAU---CGU-CAAAACA-UACAC-AAUGA-AUCAGGAA +URS0000D6CC1C_97138/1-62 UCUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCC-UA-------------------------------------------------GGC-AAAAGCA-UACAC-AAUGA-AGCAGAAA +URS0000D6ACFB_12908/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCA-UCUA---------------AAUUUAUU------------------UAG---UGU-GAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D67BB2_12908/1-66 ACUGU-GGAGUGUA-CAAAAACU-------------------------------UGCUAGU-AGCG-UA-----------------UA--------------------------AU--CGC-AAACGCA-UACAC-AUUGA-AGCAGUAA +URS0000D69B81_12908/1-66 ACUGU-GGAGUGUA-CAAAAACU-------------------------------UGCUAGU-AGCG-UA-----------------UA--------------------------AU--CGU-CAAAGCA-UACAU-AUUGA-AGCAGUAA +URS0000D6683B_12908/1-66 ACUGU-GGAGUGUA-CAAAAACU-------------------------------UGCUAGU-AGCG-UA-----------------UA--------------------------AU--CGU-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D66F59_334413/1-67 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUUAGU-AGCA-AA-----------------AUCU-----------------------U----UGC-AAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D6BDD9_12908/1-73 ACUGU-GGAGGGUA-CAAGAACU-------------------------------UGUGAGU-AGCG---UGU--------------UGCUUG--------------------CGAC--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D663F9_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG---UGU--------------UGCUUG--------------------CGAC--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D663F9_1262832/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG---UGU--------------UGCUUG--------------------CGAC--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D67D69_12908/1-73 ACUGU-GGAGUGUA-CAAGAGCU-------------------------------UGUGAGU-AGCG-UGUU---------------UUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D69008_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUUGC-------------UU----------------------GCAAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D68EFB_12908/1-73 ACUGU-GGAGUGUA-CAGGAACU-------------------------------UGUGAGU-AGCG-UAUUGC-------------UU----------------------GCAAU---CGC-CAAAGCA-UACAC-AAUGA-AACAGUAA +URS0000D6A056_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUC---------------GUUUA---------------------CAAU--CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D6AA05_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUGAGU-AGCG-UAUUA--------------CUUGU---------------------AAU---CGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D68CCB_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGG-AGAG-UAUU---------------GUUUA---------------------UAAU--CGC-CAAAGUA-UACAC-AUUGA-AGCAGUAG +URS0000D6A094_12908/1-73 ACUGU-GGCGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA---------------------UAAU--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D664D1_12908/1-73 ACUAU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA---------------------UAAU--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D66FC5_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGAG-UAUU---------------GUUUA---------------------UAAU--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6B0BB_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGUGU-AGAG-UAUU---------------GUUUU---------------------UAAU--CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D65A53_699246/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG--AAU---------------UGUUUACA------------------AU----CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D690B3_12908/1-74 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUUG--------------UUUUA--------------------CAAU---CGU-CAAAACA-UACAC-AAAGA-AGCAGUAA +URS0000D6CE24_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UAUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D6AC43_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D6AC43_657317/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D6AC43_657318/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D666D2_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AUCGA-AGCAGUAA +URS0000D6C280_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGU-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D69A75_12908/1-73 ACUGU-GGAGUGUA-CAAGAAUU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D66E28_12908/1-73 ACUGU-GGAGUGUA-CAAGAACC-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D6BAF7_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D6BAF7_515619/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D67802_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-NAUGA-AGCAGUAA +URS0000D6A4AD_12908/1-73 ACUGU-GGAGUGUA-CACGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D6A537_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGU-CAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D69882_1280696/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GCUUGC--------------------AAU---CGC-CAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D69882_1280697/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GCUUGC--------------------AAU---CGC-CAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D6AF1B_1280697/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GCUUAC--------------------AAU---CGC-CAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D6B1B5_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GCUUAC--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6977B_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAC--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6A0A8_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6A0A8_1263079/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6A0A8_1073376/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6A0A8_649757/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6A0A8_1262943/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6C53D_471875/1-73 ACUGU-GAAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUAU--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6985E_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUA--------------------CAAU---CGC-CAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D6B631_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GCUUCC--------------------AAU---CGC-CAAAGCA-UACAC-AUUGA-AACAGUAA +URS0000D65B07_1263012/1-80 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------UUUUAUUUCUU-------------GCAAU---CGC-CAAAACA-UACAC-AAUGA-AGCAGUAA +URS0000D65B07_12908/1-80 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------UUUUAUUUCUU-------------GCAAU---CGC-CAAAACA-UACAC-AAUGA-AGCAGUAA +URS0000D6C70D_12908/1-63 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UA-----------------U-------------------------------UGC-AAAAGCA-UACAC-GUUGA-AGCAGUAA +URS0000D6B8F2_12908/1-63 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UA-----------------U-------------------------------UGC-AAAAGCA-UACAC-AUUGA-AGCAGUAA +URS0000D6BC2F_12908/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GUUUUAU-------------------AAU---UGC-CAAAGCA-UACAC-AUUGAAAGCAGUAA +URS0000D66F18_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCG-UAUU---------------GCUUG--------------------CAAU---AGC-CAAAGCA-UACAC-GUUGA-AACAGUAA +URS0000D69472_12908/1-75 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGCA-UAUC---------------UGUCUACA------------------GAU---UGC-AAAAGCA-UAUAC-UAUGA-AGCAGUAA +URS0000D6BE5F_12908/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGCA-UAUC---------------UGUUUACA------------------GAU---UGU-AAAAGCA-UAUAC-GAUGA-AGCAGUAA +URS0000D6D00A_12908/1-75 ACUGU-GGAGUAUA-CAAGAACU-------------------------------UGUGAGU-AGCC-UAUC---------------UGUUUACA------------------GAUU---GU-AAAAGCA-UAUAC-GAUGA-AGCAGUAA +URS0000D6B863_12908/1-75 ACUGU-GGAGUAUA-CCAGAACU-------------------------------UGUGAGU-AGCA-UAUC---------------UGUUUACC------------------GAU---UGU-ANAAGCA-UAUAC-GAUGA-AGCAGCUA +URS0000D6A573_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUG-UGUC---------------ACUUG---------------------CGAC--CAC-CAAAGCA-UACAC-GAUGA-AGCAGUAA +URS0000D69ACE_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUG-UGUC---------------ACUUG---------------------CGAC--CAC-CAAAACA-UACAC-GAUGA-AGCAGUAA +URS0000D6B3CE_12908/1-73 ACUGU-GGAGCGUA-CAAGAACU-------------------------------UGUGAGU-AGUG-UGUC---------------ACUUG---------------------CGAC--CAC-AAAAGCA-UACAC-GAUGA-AGCAGUAA +URS0000D65E2D_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUG-UAUC---------------ACUUGC--------------------GAC---CAC-CAAAGCA-UACAC-GAUGA-AGCAGUAA +URS0000D69317_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUA-U-GUC--------------ACUUGU-------------------GAC----UAC-AAAAGCA-UACAC-AAUGA-AGCAGUAA +URS0000D69DB0_12908/1-73 ACUGU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUG-U-GU---------------UACUUUUA------------------AC----CAC-CAAAGCA-UACAC-GUUGA-AACAGUAA +URS0000D6A87F_12908/1-73 ACUGU-GGAGUGUA-CCAGAACU-------------------------------UGUGAGU-AGUG--AGUUA-------------CUCG--------------------UAAC----CAC-AAAAGCA-UACAU-GGUGA-AGCAGUAA +URS0000D66D04_12908/1-72 ACUGU-GGAGUGUA-CAAAACA--------------------------------UGUGAGU-AGUG-UAUUGC-------------UU----------------------GCAAU---CGC-CAAAGCA-UACAC-GUUGA-AACAGUAA +URS0000D6759B_12908/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG-UGUC---------------AUUUG---------------------GAAC--CGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D693AD_12908/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUG--------------------CAAC--CGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D69AE7_12908/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----CGC-CAAAGCG-UACAC-UAUGA-AGCAGUAA +URS0000D660C0_12908/1-73 ACUGU-GGAGUGUA-UUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----CGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D6CB3F_12908/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----UGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D66E89_12908/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----CGC-CAAAGCG-UACAC-AAUGA-AGUAGUAA +URS0000D6BC85_12908/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----CGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D6BC85_1263079/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----CGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D6BC85_657318/1-73 ACUGU-GGAGUGUA-CUAGAACU-------------------------------UGUGAGU-AGCG--UGU---------------CAUUUGUA------------------AC----CGC-CAAAGCG-UACAC-AAUGA-AGCAGUAA +URS0000D66B1C_12908/1-73 ACUGU-GGACUAUA-CAAGAACU-------------------------------UGUAAGU-AGUG-AAUU---------------AGAAA-U-------------------AAU---CAC-AAAAGCA-UAUAG-GUUGA-AGCAGUAA +URS0000D6865F_12908/1-70 CCUGU-GGACUAUA-CAGGAACU-------------------------------UGUGAGU-AGUA---UU---------------AGUAAU--------------------AA----UAC-AAAAGCA-UAUAG-GUAGA-AGCAGGAA +URS0000D6865F_657319/1-70 CCUGU-GGACUAUA-CAGGAACU-------------------------------UGUGAGU-AGUA---UU---------------AGUAAU--------------------AA----UAC-AAAAGCA-UAUAG-GUAGA-AGCAGGAA +URS0000D6B5FA_12908/1-70 CCUGU-GGACUAUA-CAAGAACU-------------------------------UGUGAGU-AGUA---UU---------------AGUAAU--------------------AA----UAC-AAAAGCA-UAUAG-GUAGA-AGCAGGAA +URS0000D6A761_12908/1-64 CCUGU-GGACUAUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UU-----------------AG------------------------------GAC-AAAAGCA-UAUAG-GGUGA-AGCGGGAA +URS0000D66954_12908/1-64 CCUGU-GGACUAUA-CAAGAACU-------------------------------UGUGAGU-AGUC-U------------------UAU-----------------------------GAC-AAAAGCA-UAUAG-GUUGA-AGCAGGAA +URS0000D6C6BB_12908/1-64 CCUGU-GGACUAUA-CAAGAACU-------------------------------UGUGAGU-AGUC-U------------------UAG-----------------------------GAC-AAAAGCA-UAUAG-GGUGA-AACAGGAA +URS0000D67261_12908/1-70 CCUGU-GGACUGUA-CAAGAACU-------------------------------UGUUAGU-AGAU-UA-----------------AUUUAU--------------------UA----AUC-GAAAGCA-UACAG-GAUGA-AAUAGGAA +URS0000D674C4_500635/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUU-UCAG---------------GCUUGC--------------------CUG---GGC-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D65FBF_500635/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UCAG---------------GCUUGC--------------------CUG---GAU-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D68E69_500635/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UCAG---------------GCUUGU--------------------CUG---GAC-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D6BAF0_500635/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UCAG---------------GCUUGC--------------------CUG---GAC-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D6BAF0_12908/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UCAG---------------GCUUGC--------------------CUG---GAC-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D6A5D7_500635/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UCAG---------------GCUUGC--------------------CUG---GGC-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D6A5D7_12908/1-73 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUGAGU-AGUC-UCAG---------------GCUUGC--------------------CUG---GGC-AAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D6A396_12908/1-63 CCUUU-GGAGUGUA-CAAGAACU-------------------------------UGUUAGU-AGAU-U------------------UA------------------------------AUC-GAAAGCA-UACAC-GAUGA-AUAAGGAA +URS0000D677BC_12908/1-73 CCUGC-GGAGAGUA-AUAGAACU-------------------------------UGUGAGU-AGUA---UC---------------GAUAAAUU-----------------UGA----UAU-GAAAGCA-UACUC-GAUGA-AACAGGAA +URS0000D6B21F_12908/1-75 ACUGU-GGACUGCA-CAACAAAU-------------------------------UGUUAGU-AGUA-UAUG---------------AAUUUAU-------------------UAAU--UAC-AAAAGCA-UGCAG-GAUGA-AGCAGUAA +URS0000D6B81B_12908/1-62 ACUGU-GGACUACA-CAAGCAA--------------------------------UGCAAGU-AGUA--------------------AUU-----------------------------UAC-AAAAGCA-UGUAG-GAAGA-AGCAGUAA +URS0000D666F9_12908/1-75 CCUAC-GGAGAGUA-CAUAAUAA-------------------------------UGUAAGU-ACUGAUUAG---------------GGACAU--------------------CUAU--CAG-GAAAGCA-UACUC-GAUGA-AGUAGGAA +URS0000D68ABC_12908/1-75 CCUAU-GGAGAGUA-CAAAACAA-------------------------------UGUGAGU-ACUGAUUGG---------------GGACAU--------------------CCAU--CAU-GAAAGCA-UACUC-GACGA-AAUAGGAA +URS0000D6ACF5_12908/1-75 CCUAU-GGAGAGUA-UACAACAA-------------------------------UGUGAGU-ACUG-UUUGG--------------AGACAU-------------------CCAU---CAU-GAAAGCA-UACUC-GAUGA-AGUAGGAA +URS0000D6598D_12908/1-75 CCCAU-GGAGAGUA-CAUAACAA-------------------------------UGUGAGU-ACUG-UUUGG--------------AGAUAU-------------------CCAU---CAU-GAAAGCA-UACUC-GAUGA-AGUGGGAA +URS0000D68952_12908/1-75 CCUAU-GGAGAGUA-CACAACAA-------------------------------UGUGAGU-AGUA-UUUAG--------------AACCAU-------------------CUAA---UAU-GAAAGCA-UACUC-GAAGA-AGUAGGAA +URS0000D6D314_12908/1-75 CCUAU-GGAGAGUA-CACAACAA-------------------------------UGUGAGU-AGUA-UUUAG--------------AGUCAU-------------------CUAA---UAU-GAAAGCA-UACUC-GAAGA-AGUAGGAA +URS0000D6A856_12908/1-75 CCUAU-GAAGAGUA-CAAAAAAA-------------------------------UGUAAGU-AGUGGUUGA---------------AUUUA-UU------------------U---GACAC-GAAAACA-UACUC-GUUGA-AAUAGGAA +URS0000D6C08A_12908/1-77 ACUGU-GGAGUGCA-UAAAAAAA-------------------------------UGUGAGU-AGUA-UAUUU--------------AAUUUUAU------------------AAAU--UAC-AAAAGCA-UGUAC-UAUGA-AGCAGUAA +URS0000D6C3A4_12908/1-77 ACUGU-GGAGUGCA-UAAAAAAA-------------------------------UGUAAGU-AGUA-UAUUU--------------AAUUUUAU------------------AAAU--UAC-AAAAGCA-UGUAC-UAUGA-AGCAGUAA +URS0000D6ABE4_12908/1-61 ACUGU-GGACUGCA-CAAAAAA--------------------------------UAUGAGU-AGCU--------------------CA------------------------------GGC-AAAAGUA-UGCAG-GAUGA-AACAGUAA +URS0000D6C273_12908/1-62 ACUGU-GGACUGUA-CAAGGAAC-------------------------------UACGAGU-AGCU--------------------AA------------------------------GAC-GAAAGUA-UACAG-GAAGA-AGCAGUAA +URS0000D692C7_12908/1-74 ACUGU-GGAGUGUA-CUUAGGAUC------------------------------UGUGAGU-AGAG--AUAAC-------------GCAG--------------------GUUA----CUC-AAAAACA-UACAC-GAAGA-AACAGUAA +URS0000D68F27_12908/1-74 ACUGU-GGAGUGUA-CUUAGGAU------------------------------CUGUGAGU-AGAGAUA-----------------ACUACGGU------------------UA----CUC-AAAAGCA-UACAC-GAAGA-AACAGUAA +URS0000D6CAB8_12908/1-73 ACUGU-GGACUAUA-CAAGAACC-------------------------------UGUGAGU-AGAU--ACU---------------GAUUUGUC------------------AG----AUU-GAAAGCA-UAUAG-GAUGA-AACAGUAA +URS0000D65AD8_12908/1-61 GUUGC-GGAGUGCU-AUAUCAA--------------------------------CGAGAGU-AGCU-U------------------C-------------------------------GGC-AAAAUCG-GGCAC-UAUGA-AACAACGA +URS0000D6D447_1121865/1-61 GCUCU-GGACUGUU-AUAUAAA--------------------------------CGAAAGU-AGGA--------------------GU------------------------------UCC-AAAAUCG-GACAG-GAUGA-ACGAGCAA +URS0000D67B41_12908/1-73 CCUUU-GGAGUACU-AAUAUAAA-------------------------------CGAUAGU-AGCU-UGUC---------------UUAUAA-------------------GAC----AGC-GAGAGCG-AGUAC-AAUGA-AUAAGGAA +URS0000D69105_1128398/1-68 CCUAU-GGAAUGCC-GUAUCAAA-------------------------------CGAAAGU-AGUA--A------------------GUAGUAU------------------------CAC-GAAAUCG-GACAU-UGUGA-AGUAGGAA +URS0000D67D01_12908/1-64 CCUGC-GGAGCGUC-ACACCAAC-------------------------------CGGUAGU-AGCU--A-----------------AA------------------------------AGC-GAAAACGGGACGC-GAAGA-ACCAGGUA +URS0000D6BDB2_12908/1-64 CCUGC-GGAGCGUC-ACACCAAC-------------------------------CGGAAGU-AGCU--A-----------------AA------------------------------AGC-GAAAACGGGACGC-GAAGA-AACAGGUA +URS0000D65D06_12908/1-64 CCUGC-GGAGCGUC-ACACCAAC-------------------------------CGGAAGU-AGCU--A-----------------AA------------------------------AGC-GAAAACGGGACGC-GAAGA-ACCAGGUA +URS0000D66D17_12908/1-73 CCUGU-AGAGCGUU-ACAUCAAA-------------------------------CGCAAGU-AGCU-UACC---------------UUUCG---------------------GGGU--AGU-CAAAGCG-GACGU-GAUGA-UACAGGAA +URS0000D66AD4_12908/1-71 CCUAU-GAACUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUC--ACC---------------UUAACA--------------------GG----GAC-AAAAUCG-GACAG-GUGGA-AGUUGGAA +URS0000D66303_1121108/1-75 CCUGU-GGAAUGCC-ACACCAA--------------------------------CGCCAGU-AGCC--AGCC--------------ACUCCCCGU----------------GGC----CGC-CAAAACG-GGCAU-GACGA-AACAGGAA +URS0000D66303_12908/1-75 CCUGU-GGAAUGCC-ACACCAA--------------------------------CGCCAGU-AGCC--AGCC--------------ACUCCCCGU----------------GGC----CGC-CAAAACG-GGCAU-GACGA-AACAGGAA +URS0000D683E8_12908/1-75 CCUGU-GGAAUGCC-ACCCCAA--------------------------------CGCCAGU-AGCC--AGCC--------------ACUCCCCGU----------------GGC----CGC-CAAAACG-GGCAU-GACGA-AACAGGAA +URS0000D6B1B0_12908/1-74 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------UUGUAUU-AGAU-UAUC---------------CGCAAG--------------------GAUU--UUC-GAGGCGA-GACAC-AGCGA-AGCAGGAA +URS0000D6BC92_1128398/1-72 CCCUU-GGAGUACU-AUAUCAAA-------------------------------CAAGAGU-AGAU-UAAC---------------UUAGG---------------------AUA---AUC-GAAAUAG-GGUAC-GACGA-ACAGGGAA +URS0000D6B3BB_403833/1-63 CCUGU-GGAGUGUC-AAACAAA--------------------------------CCGUAGU-AGAU--A-----------------UAU-----------------------------AUC-GAGGCGG-GACAC-GUUGA-AGCAGGAA +URS0000D686D5_12908/1-60 CCUAC-GGAGUGUC-AAAACAA--------------------------------CCAUAGU-AGAU-U--------------------------------------------------AUC-GAGGUGG-GACAC-GAUGA-ACUAGGAA +URS0000D66594_1321778/1-64 CCCUU-GGAGUGUC-ACACCAAA-------------------------------CUAGAUU-AGAC-UU-----------------UA------------------------------GUC-GAAAUAG-GAUAC-GUUGA-AGAGGGAA +URS0000D6C1CB_1169144/1-66 CCUGU-GGAGAGCC-AUAUAAA--------------------------------CCAAAGU-AGCA--A-----------------GAUAGU--------------------------GGC-GAAAUGG-GGCUC-GUAGA-AGCAGGAA +URS0000D6B5CC_12908/1-71 UCUGU-GGAGUGUU-AUAUCAAA-------------------------------UGUGAUU-AGCU--UGA---------------UAUUA---------------------UCA---AGC-GAAAACA-GACAC-UAAGA-AGCAGAAA +URS0000D69914_12908/1-75 CCUUU-UAAGAGCU-ACACCAAA-------------------------------CUAGAGU-AGA--UAUAGU-------------AAUUU-------------------ACUAUU---UC-AAAAUAG-AGCUU-UAUGA-AGAAGGAA +URS0000D6D2CD_1202534/1-66 CCUUU-UGAGAACU-ACACCAAA-------------------------------CUAGAGU-AGAU-UUUU-----------------------------------------AA----AUU-AAAAUAG-AGUUU-GAUGA-AAAAGGAA +URS0000D67273_12908/1-61 CCUUU-GGAGAACU-AAA--AAA-------------------------------CUUGAGU-AGAU-UU-------------------------------------------------AUUUGAAAAAG-AGUUC-GUUGA-AUUAGGAA +URS0000D6AE74_12908/1-77 UCUUU-GGAGAGUU-AUAAAAA--------------------------------CUAGAGU-AGCU-U-AU--CAAA---------GUAU----------------UUUCA-AU----AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D67344_12908/1-78 UCUUU-GGAGAGUU-ACAAAAAA-------------------------------CUAGAGU-AGCU-UAUUGA-------------AGUAUUU-----------------UCAAU---AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D6A0D4_12908/1-77 UCUUU-GGAGAGUU-AUAAAAG--------------------------------CUAAAGU-AGCU-UAUUGG-------------AGUAUUU-----------------UCAAU---AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D6AA23_12908/1-77 UCUUU-GGAGAGUU-AUAAAAG--------------------------------CUAAAGU-AGCU-UAUUGAA------------GUAUU------------------UUCAAU---AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D68ABE_12908/1-77 UCUUU-GGAGAGUU-ACGAAAA--------------------------------CUAGAGU-AGCU-UAUUGAA------------AUAUU------------------UUCAAU---AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D68007_12908/1-77 UCUUU-GGAGAGUU-ACAAAAA--------------------------------CUAGAGU-AGUU-UAUUGAA------------AUAUU------------------UUCAAU---AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D6BE0B_12908/1-78 UCUUU-GGAGAGUU-ACAAAAAA-------------------------------CUAGAGU-AGCU-UAUUGAA------------AUAUU------------------UUCAAU---AGC-CAAAUAG-AACUU-GUUGA-AAAAGAAA +URS0000D67A5E_12908/1-78 UCUUU-GGAGAGUU-ACAAAAAA-------------------------------CUAGAGU-AGCU-UAUUGAA------------GUAUU------------------UUCAAU---AGC-CAAAUAG-AACUU-GUUGA-AAAAGAAA +URS0000D6613F_12908/1-78 UCUUU-GGAGAGUU-ACAAAAAA-------------------------------CUAGAAU-AGCU-UAUUGAA------------AUAUU------------------UUCAAU---AGC-AAAAUAG-AACUC-GUUGA-AAAAGAAA +URS0000D69DAE_12908/1-78 UCUUU-GGAGAGUU-ACAAAAAA-------------------------------CUAGAAU-AGCU-UAUUGAA------------AUAUU------------------UUCAAU---AGC-CAAAUAG-AACUC-GUUGA-AAAAGAAA +URS0000D695BC_12908/1-79 UCUUU-GGAGAGUU-AUAAAAA--------------------------------CUAGAGU-AGCU-UAUUGA-AA----------UAUU-----------------UUCUCAAU---AGC-CAAAUAG-AACUC-AUUGA-AAAAGAAA +URS0000D6594F_12908/1-61 CCUUU-GGAGUGUC-AAAAAA---------------------------------CACGAGU-AGG---------------------UUUAU----------------------------CC-GAAAGUG-GACAC-GAUGA-ACAAGGAA +URS0000D6A20F_12908/1-62 CCUUC-GGAGUGUC-AAACAAA--------------------------------CAGGAGU-AGGA--------------------AUA-----------------------------UCC-GAAACUG-GGCAC-GAUGA-ACAAGGAA +URS0000D6C2E8_12908/1-61 CCUUG-GGAGCGUC-ACAUAAA--------------------------------CCGUAGU-AGCU-UC-------------------------------------------------GGC-AAAACGG-GACGC-GUUGA-AUAAGGAA +URS0000D67D54_12908/1-61 AUUGU-GGAGUGUC-AUACAAA--------------------------------CUCAAGU-AGCU-UA-------------------------------------------------GGC-GAAAGAG-GACAC-UAUGA-AGCAAUAA +URS0000D69FFB_12908/1-61 GCUGU-GGAGAGCC-AAACAAA--------------------------------CUGUAGU-AGCC-AA-------------------------------------------------GGC-GAGGCAG-GGCUC-GUUGA-AGCAGUUA +URS0000D66C0F_12908/1-61 CUCUU-GGACUGCU-AUAUAAA--------------------------------CUAGAGU-AGCU-UA-------------------------------------------------GGC-AAAAUAG-GGUGG-GAUGA-AUAGAGAA +URS0000D68D19_12908/1-69 ACUGU-GGAGCGUG-AAACCAG--------------------------------CCUGAGU-AGUCGGCUU------------------AGU--------------------AA----GAC-GAAAGGG-AACGC-UAUGA-AGCAGUAA +URS0000D6B3D0_12908/1-69 ACUGU-GGAGCGUG-AAACCAG--------------------------------CCUGAGU-AGUCGG------------------CUUUAU--------------------AA----GAC-GAAAGGG-AACGC-UAUGA-AGCAGUAA +URS0000D65E4D_12908/1-82 CUUGU-GGACUGUU-UUAUAUCA-------AA----------------------CGAGAGU-AGAC-UUUGUA-------------UUUUAAAG------------------UGUGAAGAC-CAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6C3A9_12908/1-61 CCUUU-GGAGAGUC-AUACCAAA-------------------------------CGCAAUU-AGG---------------------UUU------------------------------CC-GAAAGCG-GGCUC-UAUGA-AUAAGGAA +URS0000D6963A_12908/1-61 CCUUU-GGAGAGUC-AUACCAAA-------------------------------CGCAAGU-AGGA--------------------U-------------------------------UCC-GAAAGCG-GACUC-UAUGA-AUAAGGAA +URS0000D6CE7B_12908/1-61 GCUGU-GGAGCGAC-ACAUAAA--------------------------------CGCAAGU-AGUC-CA-------------------------------------------------GAC-GAAAGCG-GUCGC-UGAGA-AACAGUGA +URS0000D65E21_12908/1-66 CCCUU-GGAGUGUU-AUAAAAA--------------------------------CUUGAGU-AGCU-UAUA-----------------------------------------UAA---AGU-GAAAAAG-AACAC-GUUGA-AUAGGGAA +URS0000D68957_12908/1-62 CCCUU-GGAGUGUU-GUAAAAA--------------------------------CUUGAGU-AGUU-UA-----------------A-------------------------------AAC-GAAAGAG-AACAC-GAUGA-AUAGGGAA +URS0000D69111_12908/1-74 CUUGU-GGACUGUC-ACAUCAAA-------------------------------UGAGAGU-AGAC-UUUU---------------CAGU----------------------AAUCUAGUC-AAAAUCA-GGCAG-GAAGA-AGCAAGAA +URS0000D673A1_12908/1-78 CUUGU-GGACUGUC-ACAUCAAA-------------------------------UGAGAGU-AGAC-UUUUUAG------------GAAC-------------------CUAUAGA--GUC-AAAAUCA-GGCAG-GAUGA-AGCAAGAA +URS0000D658FB_997346/1-66 CCUGU-GGAGUGUU-AUACAAA--------------------------------CCGUUGU-AGGG--AGU-----------------------------------------ACGU--GCC-GAAGCGG-GACAC-GAUGA-AUCAGGAA +URS0000D65E35_997346/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CCGUUGU-AGGG--A-----------------GUAAGU--------------------------GCC-GAAGCGG-GACAC-GAUGA-AUCAGGAA +URS0000D661E3_12908/1-71 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------UGUUAGU-AGUA-UAUC---------------GUAA----------------------GGU---UAC-GAGGACA-GACAC-GUUGA-AACAGGAA +URS0000D6A01B_12908/1-72 CCUGU-GGAGUGUU-AUACCAAA-------------------------------UGUUAGU-AGUA-UGCU---------------GUGAA---------------------AGC---UAC-AAGAACA-GACAC-GUUGA-AACAGGAA +URS0000D6AC25_12908/1-71 CUUGU-GGAGUGUU-AUAUCAAA-------------------------------UGUUAGU-AGUA-UGCU---------------GA-AA---------------------AGC---UAU-GAGAACA-GACAC-GUUGA-AGCAAGAA +URS0000D656F5_12908/1-73 CCUUU-GGAGUGUU-AUACCAAA-------------------------------UGUGAGU-AGUA-UAUU---------------CUUAGG--------------------GAU---UAU-GAAAACA-GACAC-GUUGA-AUAAGGAA +URS0000D684BC_12908/1-69 CCUUU-GGAGUGUU-AUAUCAAA-------------------------------UGUGAGU-AGAA-UACA---------------A-------------------------UGUA--UUU-GAAAACA-GACAC-GUUGA-AAAAGGAA +URS0000D6AE2C_12908/1-71 CCUGU-GGACUGUU-AUAUCAAA-------------------------------UGUUAGU-AGGG-UGUG----------------CAAA---------------------CAC---UAC-GAGGACA-GACAG-GGCGA-AGCAGGAA +URS0000D67848_12908/1-64 CCUGU-GGACUGUC-ACAUCAAA-------------------------------UGUCAGU-AGCC-UU-----------------AC------------------------------GGC-GAGGACA-GACAG-GGUGA-AGCAGGAA +URS0000D6C9CB_12908/1-64 CCUGU-GGACUGUC-ACAUCAAA-------------------------------UGUCAGU-AGCC-UU-----------------AC------------------------------GGC-GAGGACA-GACAG-GACGA-AGCAGGAA +URS0000D68CED_12908/1-64 CCUGU-GGACUGUU-AUAUCAAA-------------------------------UGUUAUU-AGCC-UU-----------------AC------------------------------GGC-GAGGACA-GACAG-GUCGA-AGCAGGAA +URS0000D6C007_12908/1-67 CCUGU-GGACUGUU-AUAUCAAA-------------------------------UGUUAUU-AGCG--A-----------------GCAAUU--------------------------GGC-GAGGGCA-GACAG-GGUGA-AGCAGGAA +URS0000D6B3A8_12908/1-70 CCUGU-GGACUGUC-AUAUCAAA-------------------------------UGUUAUU-AGUA--UGG---------------GAAA----------------------CUG---UAC-GAGGACA-GACAG-GGGGA-AGCAGGAA +URS0000D6B08B_12908/1-62 CCUAU-GGACUGUU-AUAACAAA-------------------------------UCGUAGU-AGCU--------------------UC------------------------------GGC-AAGGCGA-GACAG-GGUGA-AGUAGGAA +URS0000D6A52E_12908/1-62 CCUAU-GGACUGUU-AUAACAAA-------------------------------UCGUAGU-AGCU-U------------------C-------------------------------GGC-AAAGCGA-GACAG-GGUGA-AGUAGGAA +URS0000D65772_1341692/1-64 CCCUU-GGAGUAUC-GGACCAAA-------------------------------CGAAAGU-AGC---------------------AAAUAA---------------------------GC-AAAAUCG-GAUAC-UAUGA-AUAGGGAA +URS0000D6B2DF_1128398/1-62 CUUGU-GGAGAACC-AUACCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGAGA-GGUUC-UAUGA-AACAAGAA +URS0000D674ED_12908/1-62 CCUUU-GGAGAACC-AUAACAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAAGUGA-GGUUC-UAUGA-AAAAGGAA +URS0000D66519_289380/1-62 CCUUU-UGAGAACC-AUGCAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D6760F_1292035/1-62 CCUUU-GGAGAGCC-AUAUCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D6760F_488537/1-62 CCUUU-GGAGAGCC-AUAUCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D6AF98_195103/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUC-UAUGA-AGAAGGAA +URS0000D6917E_195102/1-62 CCUUU-GGAGAGCC-AUAAAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-AAUGA-AGAAGGAA +URS0000D67BB0_451755/1-63 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-----------------A-------------------------------UGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D65ED3_445334/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D65ED3_488537/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D65ED3_742739/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D65ED3_289380/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D65ED3_451756/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D65ED3_883064/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D69037_289380/1-62 CCUUU-GGAGAGCC-AUAAAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D69F8C_289380/1-61 CCUUU-GGAGAGCC-AUAAAAA--------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D6600C_451756/1-62 CCUUU-GGAGAGCC-AUAACAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D69FE4_195102/1-62 CCUUU-GGAGAGCC-AUAAAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D69FE4_451757/1-62 CCUUU-GGAGAGCC-AUAAAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6D374_742739/1-61 CCUUU-GGAGAGCC-AUAAAAA--------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D69FE4_445334/1-62 CCUUU-GGAGAGCC-AUAAAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6D374_445334/1-61 CCUUU-GGAGAGCC-AUAAAAA--------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6D207_289380/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6D207_12908/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6D207_195103/1-62 CCUUU-GGAGAGCC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6B64F_289380/1-61 CCUUU-GGAGAGCC-AUACAAA--------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D66499_12908/1-62 CCUUU-GGAGAGUC-AUACAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D658F6_289380/1-62 CCUUU-GGAGAGCC-AUAAAAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GAC-AAGGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D6C9A2_742739/1-64 ACUUU-GGAGAGCC-AUACAAA--------------------------------UCGUAGU-AGCU-UA-------------------UUA---------------------------GGC-AAGGCGA-GGCUU-UAUGA-AGAAGGAA +URS0000D6A1B8_195102/1-62 CCUUU-GGAGAACC-AUACAAAA-------------------------------UCAUAGU-AGCU-UA-------------------------------------------------GGC-AAAGCGA-GGUUC-UAUGA-AGAAGGAA +URS0000D6A42C_699034/1-62 CCUUU-GGAGAACU-AUACCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUCC-AGUGA-AGAAGGAA +URS0000D67A26_699034/1-62 CCUUU-GGAGAACU-AUGCCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-GGUGA-AGAAGGAA +URS0000D65897_997827/1-62 CCUUU-GGAGAACU-AUACCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-AGUUC-AAUGA-AGAAGGAA +URS0000D668CE_1151274/1-62 CCUUU-GUAGAACU-AUACCAAA-------------------------------UCGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCGA-GGUUC-AAUGA-AGAAGGAA +URS0000D660D2_12908/1-72 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------UCAGAGU-AGUC-UAUC---------------CUUGU---------------------GAU---GAC-AAAAUGA-GGUUC-UAUGA-AUAAGGAA +URS0000D6CB01_12908/1-68 CCUUU-GGAGAGCU-AUAUAAA--------------------------------CAAGAGU-AGUA--AUU---------------AUAA----------------------AU----UAU-GAAAUUG-GGUUC-AUUGA-AUAAGGAA +URS0000D67FC2_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAGAGC-AGUA--AUU---------------AUAA----------------------AU----UAU-GAAAUUG-GGUUU-GUUGA-AUAAGGAA +URS0000D660B7_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAGAGU-AAUA--AUU---------------AUAA----------------------AU----UAU-GAAAUUG-GGUUC-GUUGA-AUAAGGAA +URS0000D6BAE5_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAGAGU-AGUA--AUU---------------AUAA----------------------AU----UAU-GAAAUUG-GGUUC-GUUGA-AUAAGGAA +URS0000D6893E_12908/1-68 CCUUU-GGAGAACU-AUACAAA--------------------------------CAAGAGU-AGUAAUUAU------------------AU---------------------AU----UAU-GAAAUUG-GGUUC-GUUGA-AUAAGGAA +URS0000D678EA_12908/1-68 CCUUU-GGAGAAUU-AUACAAA--------------------------------CAAAAGU-AGUAAUUAU------------------AU---------------------AU----UAU-GAAAUUG-GGUUC-GUUGA-AUAAGGAA +URS0000D6A351_12908/1-68 CCUUU-GGAGAACU-ACAUAAA--------------------------------CAAAAGU-AAUAAUUAU------------------AU---------------------AU----UAU-GAAAUUG-GGUUC-AUUGA-AUAAGGAA +URS0000D68D6A_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAAAGU-AAUAAUUAU------------------AU---------------------AU----UAU-GAAAUUG-AGUUC-GUUGA-AGAAGGAA +URS0000D66583_12908/1-68 CCUUU-GGAGAACU-AUCUAAA--------------------------------CAAGAGU-AGUA--AC----------------UAUAU-----------------------AU--UAU-GAAAUUG-GGUUC-AUUGA-AUAAGGAA +URS0000D68EF1_12908/1-83 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAGAGU-AAUAAUGAUGAAUUA---------UAUAA---------------UGAUGAAU----UAU-GAAAUUG-GGUUC-GUUAA-AUAAGGAA +URS0000D69E80_12908/1-70 CCUUU-GGAGAACU-AUACAAA--------------------------------CAAAAGU-AGUA---AU---------------UAUAU---------------------AUAU--UAU-GAAAUUG-GGUUC-AUUGA-AUAAGGAA +URS0000D67F10_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAGAGU-AAUA---AU---------------UAUAC---------------------AU----UAU-GAAAUUG-GGUUC-AUUGA-AUAAGGAA +URS0000D6CE5D_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAAAGU-AGUA---AU---------------UAUAC---------------------AU----UAU-GAAAUUG-GGUUC-AUUGA-AUAAGGAA +URS0000D6632D_12908/1-68 CCUUU-GGAGAACU-ACAUAAA--------------------------------CAAGAGU-AGUAAUU------------------AUAC---------------------AU----UAU-GAAAUUG-GAUUC-GUUGA-AUAAGGAA +URS0000D6D014_12908/1-68 CCUUU-GGAGAACU-AUAUAAA--------------------------------CAAAAGU-AAUAAUU------------------AUAC---------------------AU----UAU-GAAAUUG-GGUUC-GUUGA-AUAAGGAA +URS0000D6D3A2_12908/1-68 CCUUU-GGAGAACC-AUACGGA--------------------------------CAAAAGU-AGUA---AU---------------UGUAU---------------------AU----UAU-GAAAUUG-GGUUC-GUUGA-AUAAGGAA +URS0000D6B1FF_12908/1-69 CCUUU-GGAGUGUU-AUAUCAAA-------------------------------CAAAAGU-AAUA-UUUU---------------AAU-----------------------AA----UAU-GAAAUUG-GAUAC-UAUGA-AUAAGGAA +URS0000D68924_12908/1-62 CCCUU-GGAGUGUC-AUAGCAAA-------------------------------CAAAAGU-AGCC--------------------GA------------------------------GGC-AAAAUUG-GACAC-AUAGA-AGGGGGAA +URS0000D68CA2_12908/1-62 CUUUC-UGAGUAUC-AUAGCAAA-------------------------------CGAAAGU-AGCU--------------------UU------------------------------GGC-AAAAUCG-GAUAC-GUUGA-UGAAAGAA +URS0000D66F5B_1341692/1-63 UCCCU-GGAGUGUG-UGACCAAG-------------------------------CGAAAGU-AGCU-UA-----------------U-------------------------------AGC-AAAAUCG-GGCAC-UAUGA-AUGGGAAA +URS0000D66674_12908/1-72 UCUUU-GGAGUGCU-GUACAAA--------------------------------CGCCAGU-AGCC-UGUC---------------UUUUUU--------------------GGC---GGC-GAGAGCG-AGUAC-GAUGA-ACAAGGAA +URS0000D6BD79_12908/1-73 CCUUU-GGAGUGCU-GCACAAA--------------------------------CGCUAGU-AGCU-UGCC---------------CCUUUG--------------------GGAC--AGC-GAGAGCG-AGCAU-GAUGA-ACAAGGUA +URS0000D6BD2C_12908/1-73 CCUUU-GGAGUGCU-GCACAAA--------------------------------CGCUAGU-AGCU-UGCC---------------CCUUUG--------------------GGAC--AGC-GAGAGCG-AGCAU-GAUGA-ACAAGGAA +URS0000D65A7F_12908/1-72 CCUUC-GGAGUGCU-AUACAAA--------------------------------CGCUAGU-AGCU-UAUC---------------CUUCGG--------------------GAU---AGC-GAGAGCG-AGCAC-GAUGA-ACAAGGAA +URS0000D6B4A6_12908/1-72 CCUUU-GGAGUGCU-GUACAAA--------------------------------CGCCAGU-AGCU-UAUC---------------UUUCGG--------------------GAU---AGU-GAGAGCG-AGCAC-GAUGA-ACAAGGAA +URS0000D66622_12908/1-72 CCUUC-GGAGUGCU-AUACAAA--------------------------------CGCUAGU-AGCU-UGCC---------------CUUCG---------------------GGAC--AGU-GAGAGCG-AGCAC-GAUGA-ACAAGGAA +URS0000D68DD9_12908/1-72 CCUUU-GGAGUGCU-AUACAAA--------------------------------CGCUAGU-AGCU-UGUC---------------UUUCAA--------------------GGC---AGC-GAGAGCG-AGUAC-GAUGA-ACAAGGAU +URS0000D65C42_12908/1-72 CCUUU-GGAGUGCU-AUACAAA--------------------------------CGCUAUU-AGCU-UGUC---------------UUUCAA--------------------GGC---AGC-GAGAGCG-AGUAC-GAUGA-ACAAGGAU +URS0000D673C2_12908/1-72 CCUUC-GGAGUGCU-AUACAAA--------------------------------CGCUAGU-AGCU-UGUC---------------UUUCAA--------------------GGC---AGC-GAGAGCG-AGUAC-GAUGA-ACAAGGAA +URS0000D68BD4_12908/1-72 CCUUC-GGAGUGCU-AUACAAA--------------------------------UGCUAGU-AGCU-UAUC---------------UUUCG---------------------GGAC--AGC-GAGAGCG-AGUAC-GAUGA-ACAAGGAA +URS0000D681B8_929505/1-62 CCUGU-UAAGAGUC-AUAUCAAA-------------------------------UGGUAGU-AGCU--------------------UC------------------------------GGC-AAACCCA-GAUUC-GUUGA-AGCAGGAA +URS0000D681B8_445337/1-62 CCUGU-UAAGAGUC-AUAUCAAA-------------------------------UGGUAGU-AGCU--------------------UC------------------------------GGC-AAACCCA-GAUUC-GUUGA-AGCAGGAA +URS0000D66CD7_445337/1-62 CCUGU-UAAGAGUC-AUAUCAAA-------------------------------UGGUAGU-AGCU--------------------UU------------------------------GGC-AAACCCA-GAUUC-GUUGA-AGCAGGAA +URS0000D66CD7_929506/1-62 CCUGU-UAAGAGUC-AUAUCAAA-------------------------------UGGUAGU-AGCU--------------------UU------------------------------GGC-AAACCCA-GAUUC-GUUGA-AGCAGGAA +URS0000D69ADE_12908/1-62 CCUGU-GAAGAGUC-AUAUCAAA-------------------------------UGGAAGU-AGCU-U------------------A-------------------------------UGC-AAAACCA-GACUU-GUUGA-AGCAGGAA +URS0000D6D28C_12908/1-67 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------CUCAAGU-AGCAGUAAU-----------------------------------------AU----UGU-GAAAGAG-GACUC-GUUGA-ACAGGGAA +URS0000D6CF16_12908/1-85 CCUUGAAGAGCGUU-AUAUCAAA-------------------------------CGAGAGU-AGUU-UACUAUAGAU---------UUGU----------------AUCUAUAGGC--AAC-AAAAUCG-GACGU-GAUGA-ACAAGGAA +URS0000D6895B_12908/1-58 GCUGU-GGAGCGUU-----UAA-------------------------------UCUGGAGU-AGCU--------------------GC------------------------------GGC-GAAACAG-GACGC-GAAGA-AGCAGCGA +URS0000D6D09A_12908/1-61 GCUGU-GGAGCGUU-UAAUAAU--------------------------------CUGGAGU-AGCU--A-----------------C-------------------------------GGC-GAAACAG-GACGC-GGAGA-AGCAGCGA +URS0000D6BC3E_12908/1-61 GCUGU-GGAGCGUU-UAAUAAU--------------------------------CUGGAGU-AGCU--A-----------------C-------------------------------GGC-AAAACAG-GACGC-GAAGA-AGCAGCGA +URS0000D65904_12908/1-61 GCUGU-GGAGCGUU-UAAUAAU--------------------------------CUGGAGU-AGCU--A-----------------C-------------------------------GGC-GAAACAG-GACGC-GAAGA-AGCAGCGA +URS0000D68262_12908/1-61 GCUGU-GGAGCGUU-UAAUAAU--------------------------------CUGGAGU-AGCU--------------------GC------------------------------GGC-AAAACAG-GACGC-GAGGA-AGCAGCGA +URS0000D65E13_12908/1-61 GCUGU-GGAGCGUU-UAAUAAU--------------------------------CUGGAGU-AGCU--------------------GC------------------------------GGU-GAAACAG-GACGC-GGAGA-AGCAGCGA +URS0000D6641E_12908/1-74 CUCAA-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUU-GAGC---------------AAUU----------------------GCAAAAUAC-GAAAUCG-GACAC-AAUGA-AUUGAGAA +URS0000D6D284_1071395/1-78 ACUUU-GGAGUGUU-ACACCAAA-------------------------------UGCAAGU-AGCG--AUC---------------UGUUUAAUA-----------------GAUAGACGU-GAAAGCA-GACAC-GAUGA-AGAAGUAA +URS0000D6D284_1236905/1-78 ACUUU-GGAGUGUU-ACACCAAA-------------------------------UGCAAGU-AGCG--AUC---------------UGUUUAAUA-----------------GAUAGACGU-GAAAGCA-GACAC-GAUGA-AGAAGUAA +URS0000D6D284_665952/1-78 ACUUU-GGAGUGUU-ACACCAAA-------------------------------UGCAAGU-AGCG--AUC---------------UGUUUAAUA-----------------GAUAGACGU-GAAAGCA-GACAC-GAUGA-AGAAGUAA +URS0000D6C73E_1341692/1-64 CCCUU-GGAGUGAA-AGACCAAA-------------------------------CGAAAGU-AGCU--A-----------------ACU-----------------------------AGC-AAAAUCG-AACAC-UAUGA-AAAGGGAA +URS0000D6C66F_748727/1-64 CCCUU-GGAGUGGA-AGACCGAA-------------------------------CGAAAGU-AGCU---AA-----------------------------------------UU----AGC-AAAAUCG-AACAC-UAUGA-AAAGGGAA +URS0000D6C926_12908/1-70 CCUUU-GGAGUAUC-ACUCAAA--------------------------------CGUUAGU-AGCC-U-GU---------------CUUUUG--------------------AC----GGC-GAGGACG-GAUAU-GAUGA-ACAAGGAA +URS0000D6C926_500635/1-70 CCUUU-GGAGUAUC-ACUCAAA--------------------------------CGUUAGU-AGCC-U-GU---------------CUUUUG--------------------AC----GGC-GAGGACG-GAUAU-GAUGA-ACAAGGAA +URS0000D6AC80_12908/1-70 CCUUU-GGAGUAUC-ACUCAAA--------------------------------CGUUAGU-AGCC-U-GU---------------CUUUUG--------------------AC----GGC-GAGGACG-GAUAC-GAUGA-ACAAGGAA +URS0000D69C9D_12908/1-70 CCUUU-GGAGUAUC-ACGCAAA--------------------------------CGUUAGU-AGCC-U-GU---------------CUUUUG--------------------AC----GGC-GAGAACG-GAUAC-GAUGA-ACAAGGAA +URS0000D6B34B_12908/1-76 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGAGAGU-AGUA-UAUCUCA------------CGGUA------------------UAAGA-----AC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6B676_12908/1-77 CCCUU-GGAGCAUU-AUAUCAAA-------------------------------CAAGAGU-AGUU--AGUUGG------------CUUAGU-----------------UUAAC----GAC-AAAAUUG-GGUGC-GAUGA-ACAGGGAA +URS0000D6CE1D_12908/1-60 CCUUU-GGACUGCU-AUACCAAA-------------------------------CGGGAGU-AG----------------------GUUA------------------------------C-GAAACCG-GGCAG-GAUGA-AUAAGGAA +URS0000D6867D_12908/1-71 CCUUU-GGACUGCU-AUAUAAA--------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAUGA-AAAAGGAA +URS0000D6786B_525258/1-72 CCUUU-AGACUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-AGCAG-GAGGA-AAAAGGAA +URS0000D6BD89_1215079/1-72 CCUUU-UGAAUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGAAA +URS0000D6C6EC_1151272/1-72 CCUUU-UGAAUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGGAA +URS0000D6C6EC_1151376/1-72 CCUUU-UGAAUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGGAA +URS0000D6C6EC_997827/1-72 CCUUU-UGAAUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGGAA +URS0000D6C6EC_1215064/1-72 CCUUU-UGAAUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGGAA +URS0000D6C594_1151259/1-72 CCUUU-UGAGUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGGAA +URS0000D6C594_1151274/1-72 CCUUU-UGAGUGCU-AUAUUAAA-------------------------------CUAGAGU-AGAU--AUU---------------CUUAUG--------------------AAU---UUC-AAAAUAG-GGCAG-GAGGA-AAAAGGAA +URS0000D6A808_1151274/1-67 CCUUU-GGACUGCU-ACAUUAAA-------------------------------CUAGAGU-AGAA--AUU---------------G-------------------------AAU---UUC-AAAAUAG-AGCAG-GAGGA-AAAAGGAA +URS0000D68E01_12908/1-62 CCUCU-GGACUGUC-AUACAAA--------------------------------CCUAAGU-AGCA-UU-------------------------------------------------AGCGAAAAAGG-GAUAG-GAUGA-ACGAGGAA +URS0000D66872_12908/1-60 CCUCC-GGACUGUU-AUACA--A-------------------------------CCUGAGU-AGCA--------------------AG------------------------------UGC-GAAAAGG-AACAG-GAUGA-ACGAGGAA +URS0000D6A191_12908/1-73 CCUUC-AAAGAGUU-GUAUCAAA-------------------------------CAAAA-U-AGAU-UGCU---------------AUUUAU--------------------AGUU--UUC-AAAAUUG-AACUU-GUAGA-ACAAGGAA +URS0000D6693F_1262787/1-61 GCUAU-GGAGUGUU-AUACAAA--------------------------------CUAAAGU-AGAU-UA-------------------------------------------------GGC-AAAAUAG-GACAC-AACGA-AGUAGUGA +URS0000D67E5A_12908/1-61 CCUCC-GGACUGUC-GGACAAA--------------------------------CUCAAGU-AGCU--A-----------------C-------------------------------GGC-GAAAGAG-GACAG-GAAGA-ACGAGGAA +URS0000D6C502_12908/1-61 CCUCC-GGACUGUC-GGACAAG--------------------------------CUCAAGU-AGGU--------------------AC------------------------------GCC-GAAAGAG-GACAG-GUUGA-ACGAGGAA +URS0000D674A7_12908/1-61 CCUUC-GGACUGUC-GGACAAA--------------------------------CUCAAGU-AGCU-UC-------------------------------------------------GGC-AAAAGAG-GACAG-GUUGA-ACAAGGAA +URS0000D6576E_12908/1-61 CCUUC-GGACUGUC-AGACAAA--------------------------------CCUUAGU-AGCU-UA-------------------------------------------------GGC-CAACAGG-GACAG-GUUGA-ACAAGGAA +URS0000D6957D_12908/1-61 CCUCU-GGACUAUU-AUAUCAAA-------------------------------CGAAAGU-AGCG--------------------U-------------------------------UGC-GAAAUCG-GAUAG-GAAGA-ACGAGGAA +URS0000D67B56_1123288/1-61 GCUGC-GGAGUGUU-AUAUAAA--------------------------------CGGUGGU-AGCU-UU-------------------------------------------------GGC-AAAACCG-GACAC-GAUGA-AACAGUAA +URS0000D6BEE9_491915/1-63 CCUGU-GGAGAGCC-AUACAAA--------------------------------CGAUAGU-AGCC-U------------------UUU-----------------------------GGC-GAGGUCG-GGUUC-GUUGA-AGCAGGAA +URS0000D6C0E3_12908/1-64 CCUUU-GGAGUGUU-ACACCAAA-------------------------------CUAGAGU-AGUC-U------------------UAG-----------------------------GAC-AAAAUAG-AACAC-UAUGA-GGAAGGAA +URS0000D67B0B_12908/1-61 ACUGU-GGAGCAUC-AAAUAAA--------------------------------CGCAAGU-AGUC-CA-------------------------------------------------GAC-GAAAGCG-GAUGC-UAUGA-AGCAGGAA +URS0000D68CB5_1033737/1-61 CCUGU-GGAGUGCU-AUAUAAA--------------------------------CCAAAGU-AGCU--------------------UC------------------------------GGC-AAAAUGU-AGUAC-AUUGA-AACAGGAA +URS0000D6CB4F_1033737/1-61 CCUGU-GGAGUGCU-AUAUAAA--------------------------------CUAAAGU-AGCU--------------------UC------------------------------GGC-AAAAUGG-AGUAC-AUUGA-AACAGGAA +URS0000D69F02_12908/1-68 CCUUU-GGAGAGCU-AAACAAA--------------------------------CUCAAGU-AGCU-UAAU---------------UU------------------------AUU---AGU-AAAAGAG-AGUUC-GUAGA-AGAAGGAA +URS0000D6C2DB_12908/1-61 CUUGC-GGACUGUU-ACACAAA--------------------------------CCAGAGU-AGCU--------------------GU------------------------------GGC-GAAAUGG-GACAG-GAUGA-AACAAGAA +URS0000D6B415_12908/1-68 CCUUU-GGACUGUU-AUAGCAAA-------------------------------CAAAAGU-AGUA-UG-----------------CUUUAU--------------------------UAC-GAAAUUG-GACAG-GUUGA-AUAAGGAA +URS0000D65FF6_12908/1-73 CCCUU-GGAGCAUU-AUGGCAAA-------------------------------CAAAAGU-AGUU--AAUU--------------UAAUUU-------------------AAU----AAC-GAAAUUG-GAUGC-AAUGA-AUAGGGAA +URS0000D6AA7A_12908/1-74 CCUUU-GGAGAGCU-AUAUCAAA-------------------------------CAAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUA--UUC-AAAAUUG-GGUUC-AAUGA-ACAAGGAA +URS0000D65936_12908/1-62 CCUAU-GGAGUGUU-AUAGAAAA-------------------------------CAGGAGU-AGGU-U------------------C-------------------------------GCC-CAAACUG-GACAU-UAUGA-AGUAGGAA +URS0000D67D38_12908/1-62 CCUAU-GGAGUGUU-AUAGCAAA-------------------------------CAGGAAU-AGGU-U------------------C-------------------------------GCC-AAAACUG-GACAU-UAUGA-AGUAGGAA +URS0000D67E32_12908/1-87 CCUUGAAGAGCGUU-AUGUCAAA-------------------------------CGAAAGU-AGUC-UAGUCUAUAGA--------UGUAAA-------------UUUAUGGAUA----AC-AAAAUCG-GACGC-UAUGA-AUAAGGAA +URS0000D6CB92_12908/1-77 CCCUU-GGAGCGUU-AUAUCAAA-------------------------------CAAAAGU-AAUU--AGUUGA------------UUUAUU-----------------UUAAC----GAU-GAAAUUG-GACGC-GUUAA-AUAGGGAA +URS0000D672E5_12908/1-77 CCCUU-GGAGCGUU-AUACCAAA-------------------------------CAAAAGU-AGUU--AGUUG-------------AGUUAUUU----------------UAAC----GAC-AAAAUUG-GACGU-GUUGA-AUAGGGAA +URS0000D65EC0_12908/1-78 CCCUU-AGAGCGUU-AUACCAAA-------------------------------CAAAAGU-AGUU--AGUUA-------------UUUUAAUUU---------------UAAC----AAC-AAAAUUG-GACGC-GUUGA-AUAGGGAA +URS0000D6751E_12908/1-77 CUCUU-GGAGCGUU-AUACCAAA-------------------------------CAAAAGU-AGU--UAGUUAA------------UUUAUU-----------------UUAACG----AC-AAAAUUG-GACGC-AUUGA-AUAGGGAA +URS0000D66737_12908/1-77 CCCUU-AGAGCGUU-AUACCAAA-------------------------------CAAAAGU-AGUU--AGUUAA------------UUUAUU-----------------UUAAC----GAC-AAAAUUG-GACGC-AUUGA-AUAGGGAA +URS0000D65F85_12908/1-77 CCCUU-AGAACGUU-AUACCAAA-------------------------------CAAAAGU-AGUU--AGUUAA------------UUUAUU-----------------UUAAC----GAC-AAAAUUG-GACGC-AUUGA-AUAGGGAA +URS0000D68A6B_12908/1-77 CCCUU-AGAGCGUU-AUACCAAA-------------------------------CAAAAGU-AGUU--AGUUAA------------UUUAUU-----------------UUAAC----GGC-AAAAUUG-GACGU-AUUGA-AUAGGGAA +URS0000D6BA01_12908/1-77 CCCUU-GGAGCGUU-AUGUCAAA-------------------------------CAAAAGU-AGUU-GAUUAA-------------UUUGAU------------------UUAAU---AAC-AAAAUUG-GACGC-GAUGA-AUAGGGAA +URS0000D67DF0_12908/1-66 CCUUC-GGAGCGUU-AUAUCAAA-------------------------------CGUGAGU-AGCA--------------------GAACAC--------------------------CGU-GAAAGCG-GACGC-GAUGA-ACAAGGAA +URS0000D66E95_12908/1-62 CCUCC-GGAGCGUU-ACACCAAA-------------------------------CGUUACU-AGCU--------------------AC------------------------------GGC-GAGGACG-GACGC-GGUGA-ACGAGGAA +URS0000D67908_12908/1-62 CCUCC-GGAGCGUU-ACCCCAAA-------------------------------CGUUACU-AGCU--------------------AC------------------------------GGC-GAGGACG-GACGC-GAAGA-ACGAGGAA +URS0000D6CAD0_12908/1-73 CCCUC-AGAGUGUC-AUAUCAAA-------------------------------UGAGAGU-AGUG-UGUU---------------GUUUAC--------------------AAU---CAC-AAAAUCA-GACAC-GUUGA-ACAGGGAA +URS0000D68234_357809/1-72 CCCUC-GGAGUGUU-AUAGCAAA-------------------------------UGAGAGU-AGUG-UAUU---------------AUAAC---------------------AAU---CAC-CAAAUCA-GACAC-GUUGA-ACAGGGAA +URS0000D65A75_357809/1-73 CCCUC-GGAGUGUU-AUAGCAAA-------------------------------UGAGAGU-AGUG-UAUU---------------AUAAC---------------------CAAU--CAC-CAAAUCA-GACAC-GUUAA-ACAGGGAA +URS0000D67E78_357809/1-73 UCCUC-GGAGUGUU-AUAGCAAA-------------------------------UGAGAGU-AGUG-UAUU---------------AUAAC---------------------CAAU--CAC-AAAAUCA-GACAC-GUUGA-ACAGGGAA +URS0000D67FF0_289380/1-76 CCCUC-UGAGAGUU-AUAAGAAA-------------------------------UGAAAGU-AGAU-UACAC--------------UCUGUAUA-----------------GUU----UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D6CFDF_12908/1-62 UCUGU-GGAGUGCU-AAACCAAA-------------------------------CGAAAGU-AGCC-A------------------A-------------------------------GGC-UAAAUCG-GGCAC-GGUGA-AGCAAGAA +URS0000D67CC3_12908/1-68 CCUAU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCC-AA-----------------GAUCA------------------------U--GGU-CAAAUCG-GAUAC-GUCGA-AAUAGGAA +URS0000D6BEE1_12908/1-63 ACUGU-GAAGUGUU-AUAUCAAA-------------------------------UGAGAGU-AGCA--------------------AGU-----------------------------UGC-AAAAUCA-GACAC-GUUGA-AGCAGUAA +URS0000D6B1E2_12908/1-74 ACUGU-GAAGUAUU-AUACCAAA-------------------------------UGUAAGU-AGCU-UUGA---------------AGUUAU--------------------UCAU--UGC-CAAAACA-GAUAC-GUUGA-AACAGUAA +URS0000D6CEB4_12908/1-72 --AGU-GAAGUAUA-AUAACAAA-------------------------------UGUAAGU-AGCU-UUGA---------------AGUUAU--------------------UCAU--UGC-CAAAACA-GAUAC-GUUGA-AACAGUAA +URS0000D65B9A_12908/1-65 CCUUU-GGAGAGUU-AUAAAAAAA------------------------------CUGUAAU-AGCU-U------------------UUU-----------------------------AGU-GAAACAG-AACUC-GUUGA-ACAAGGAA +URS0000D6BA8B_12908/1-63 CCUCU-GGAGAAUC-AUACCAA--------------------------------UGAAAGU-AGCU-U------------------UAU-----------------------------AGC-AAAAUCG-GAUUU-GAUGA-AUGAGGAA +URS0000D66F2F_485916/1-64 AUUGU-GGAGUGUU-ACAUCAAA-------------------------------UGCGAGU-AGCU-U------------------UGU-----------------------------GGC-AAAAGCA-GACAU-UAUGA-AGCAGUAA +URS0000D69EB8_485916/1-64 ACUGU-GGAGUGUU-ACAUCAAA-------------------------------UGCGAGU-AGCU-U------------------UGU-----------------------------GGC-AAAAGCA-GACAU-UAUGA-AGCAGUAA +URS0000D69BBE_485916/1-64 ACUGU-GGAAUGUU-ACAUCAAA-------------------------------UGCGAGU-AGCU-U------------------UGU-----------------------------GGC-AAAAGCA-GACAU-UAUUA-AGCAGUAA +URS0000D6B2E5_12908/1-64 CCUUU-GGAGUAAC-AUACCAAA-------------------------------CUGAAGU-AGUC-U------------------UAU-----------------------------GAU-AAAACAG-GUUAC-GAUGA-AUAAGGAA +URS0000D6B605_1354301/1-63 CCUUU-GGAGCAAC-AUACAAA--------------------------------CUGGAGU-AGUC-UU-----------------AU------------------------------GAU-AAAAUAG-GUUGC-GGUGA-AUAAGGAA +URS0000D679C0_1354301/1-63 CCUUU-GGAGCAAC-AUACAAA--------------------------------CUGGAGU-AAUC-UU-----------------AU------------------------------GAU-AAAACAG-GUUGC-AUUGA-AUAAGGAA +URS0000D67A03_1233099/1-64 CCUUU-GGAGCAAC-AUAACAAA-------------------------------CUGGAGU-AGUC-UU-----------------AU------------------------------GAC-AAAACAG-GUUAC-GGUGA-AUAAGGAA +URS0000D657EA_931276/1-64 CCUUU-GGAGCAAC-AUAUCAAA-------------------------------CUGGAGU-AGUC-UU-----------------CU------------------------------GAC-AAAACAG-GUUGC-AUUGA-AUAAGGAA +URS0000D6A340_1262449/1-64 CCUUU-GGAGCAAC-AUAUCAAA-------------------------------CUGGAGU-AGUC-UU-----------------AU------------------------------GAC-AAAACAG-GUUGC-GUUGA-AUAAGGAA +URS0000D6C7EB_1354301/1-64 CCUUU-GGAGCAAC-AUAUCAAA-------------------------------CUGGAGU-AGUC-UU-----------------AU------------------------------GAU-AAAACAG-GUUGC-GUUGA-AUAAGGAA +URS0000D6CDA2_293826/1-64 CCUUU-GGAGCAAC-AUAUCAAA-------------------------------CUGAAGU-AGUC-U------------------UAU-----------------------------GAC-GAAACAG-GUUGC-GUUGA-AUAAGGAA +URS0000D6CA1E_12908/1-75 CCCUC-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGCU-UAUA---------------AGUUUAUU------------------UAU---AGC-GAAAUUA-GACAG-GUUGA-ACAGGGAA +URS0000D6CF50_12908/1-68 CUUGU-GGACUGUU-AUACCAAA-------------------------------CGAGAGU-AGUU---AU---------------UG------------------------AUAU--AAU-GAAAUCG-GACAG-GUUGA-AGCAAGAA +URS0000D66EA8_12908/1-77 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAU-UUUUCGU------------AGUUU------------------ACGAA----GUU-GAAAUCA-GACAG-AUUGA-AGCAAGAA +URS0000D6AF40_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGUU--UUUAUGC-----------UGUGA-----------------GUGUAAAG--GGC-GAAAUCA-GGCAG-GUUGA-AGCAAGAA +URS0000D6C3A5_12908/1-76 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAU-UUUCAU-------------AGUUU-------------------AUGAA---GUU-AAAAUCA-GGCAG-GUUGA-AGCAAGAA +URS0000D67F37_12908/1-76 CUUGU-GGACUGUU-AUACUAAA-------------------------------UGAGAGU-AGAU-UUUCAU-------------AGUUU-------------------AUGAA---GUC-AAAAUCA-AACAG-GUUGA-AGCAAGAA +URS0000D65A7E_12908/1-79 UCUGU-GAAUCGUC-AUAAAA---------------------------------UGAAAGU-AGUU--AGUAAUGCAA--------AGUGAUA-----------------UUGC----AAC-CAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D66A82_12908/1-79 CUUGU-GGACGGUU-AUAUCACA-------------------------------UGGGAGU-AGAU-U---UUAUAU---------UGGAAG--------------AUAUGA------AAC-CAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D680ED_536233/1-73 CCUGU-GAAGAAUC-AUACCAAA-------------------------------UGAAAGU-AGUA--UGU---------------GAUUUAUC------------------AC----UAC-AAAAUCA-GAUUC-GUUGA-AACAGGAA +URS0000D6CF77_12908/1-73 CCCUC-GGAGUAUU-GUAUCAUA-------------------------------CGAAAGU-AGUG-UAUU---------------CUUAGG--------------------AAC---GAC-AAAAUCA-GACAC-GUUGA-ACAGGGAA +URS0000D68D8B_12908/1-80 CUUGC-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAU-U--UUUAUGC---------UACAA---------------GCAUGAA-----AAC-AAAAUCA-GACAG-GUUGA-AACAAGAA +URS0000D6ABB6_12908/1-79 CUUGU-GGACUGUU-GUACAAA--------------------------------UGGGAGU-AGAU-UU-----UAUA--------AUUGAUGA-----------UAUA-----AA--AAC-AAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D6A067_12908/1-79 CUUGU-GGACUGUU-AAACAAA--------------------------------UGGAAGU-AGAU-UU-----UAUA--------CGUUAUGA-----------UAU-----AAA--AAC-CAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D69135_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGAAGU-AGAU-UU-----UAUA--------CGUUAUGA-----------UAU-----AAA--AAC-CAAACCA-GACAG-GAAGA-AACAAGAA +URS0000D6862D_12908/1-68 CCUUU-GGAGCGUU-AUAGAAAA-------------------------------CAAGAGU-AGUU--AGU---------------UAA-----------------------AC----GAU-GAAAUUG-GACGC-AAUGA-AUAAGGAA +URS0000D68994_12908/1-68 CCUUU-GGAGCGUU-AUAGAAAA-------------------------------CAAGAGU-AGUU--AGU------------------UAA--------------------AC----GAU-GAAAUUG-GACGC-AAUGA-AAAAGGAA +URS0000D6894F_12908/1-73 CCUUU-GGAGUGUU-AUAGCAAA-------------------------------CAAGAGU-AGUU--AGUU--------------UGAUUG-------------------AAC----GAU-GAAAUUG-GACAC-AGUGA-AAAAGGAA +URS0000D6A752_12908/1-67 CCUUU-GGAGUGUU-AUAUAAA--------------------------------CCAGAUU-AGUC--AGA---------------U-------------------------UUAU--GAU-GAAAUGG-GACAC-GAUGA-AUAAGGAA +URS0000D69D03_12908/1-73 CCUUU-GGAGUGUU-AUAUCAAA-------------------------------CAAGAUU-AGUC-AAGU---------------UAGAU---------------------UGAU--GAU-GAAAUUG-GACAC-GAUGA-AUAAGGAA +URS0000D6BB98_12908/1-62 CCUUU-CGAGUGUU-GUAUCAAA-------------------------------CCAAAGU-AGCU--------------------AA------------------------------UGC-GAAAUGG-AACAC-GAUGA-AGAAGGAA +URS0000D6633A_12908/1-61 CCUUU-GGAGUGUU-AUACAAA--------------------------------CCAUAGU-AGCA-UA-------------------------------------------------UGC-AAGGUGG-GACAC-GAUGA-AAAAGGAA +URS0000D6817B_12908/1-61 CCUUU-GGAGUGUU-AUACAAA--------------------------------CCAGAGU-AGC---------------------UUGU-----------------------------GC-AAAAUGG-GACAC-UAUGA-GAAAGGAA +URS0000D67DF2_12908/1-61 CCUUU-GGAGUGUU-AUAUAAG--------------------------------CCAGAGU-AGC---------------------UUUU-----------------------------GC-AAAAUGG-GACAC-UAUGA-AAAAGGAA +URS0000D6B7A3_12908/1-61 CCUUA-GGAGUGUU-AUAUAAA--------------------------------CCAGAGU-AGC---------------------UUGU-----------------------------GC-AAAAUGG-GACAC-AAUGA-AUAAGGAA +URS0000D67D73_12908/1-61 CCUUA-UGAGUGUU-AUAUAAG--------------------------------CCAGAGU-AGCA-UA-------------------------------------------------UGC-AAAAUGG-GACAC-GAUGA-AUAAGGAA +URS0000D6781D_12908/1-61 CCUUA-GGAGUGUU-AUACAAG--------------------------------CCAGAGU-AGCA-UA-------------------------------------------------UGC-AAAAUGG-GACAC-GAUGA-GUAAGGAA +URS0000D67513_12908/1-61 CCUUA-GGAGUGUU-AUAUAAA--------------------------------CCAGAGU-AGCU-U------------------A-------------------------------UGC-AAAAUGG-GACAC-GAUGA-AUGAGGAA +URS0000D6AF4A_12908/1-61 CCUUA-GGAGUGUU-AUAUAAA--------------------------------CCAGAGU-AGCU-U------------------A-------------------------------UGC-AAAAUGG-GACAC-GAUGA-AUAAGGAA +URS0000D658E9_12908/1-61 CCUUU-GGAGUGUU-AUACAAA--------------------------------CCAGAGU-AGCG-UA-------------------------------------------------UGC-AAAAUGG-GACAC-UAUGA-AUAAGGAA +URS0000D65E28_12908/1-61 CCUUU-GGAGUGUU-AUAUAAA--------------------------------CCAGAGU-AGCG-UA-------------------------------------------------UGC-AAAAUGG-GACAC-UAUGA-AUAAGGAA +URS0000D66AA8_12908/1-62 GCUGU-GGAGUGUC-AAACAAAA--------------------GUA--------CG---GU-AGCU-UC-------------------------------------------------GGC-AAAGACG-GACAC-GUUGA-AGCAGUAA +URS0000D697FB_12908/1-61 ACUGU-GGAGUGUC-AAACAAA--------------------------------CGUCGGU-AGCU-UU-------------------------------------------------GGC-GAAGACG-GACAC-GUUGA-AGCAGUAA +URS0000D6ACE4_12908/1-61 GCUGU-GGAGUGUC-AAACAAA--------------------------------AGUCGGU-AGCU-UC-------------------------------------------------GGC-AAAGACG-GACAC-GUUGA-AGCAGUAA +URS0000D66706_12908/1-62 ACUGU-GGAGUGUC-AAACAAAA-------------------------------AGUCGGU-AGCU--A-----------------C-------------------------------GGC-AAAGACG-GACAC-GCAGA-AGCAGUAA +URS0000D6952F_12908/1-60 ACUGU-GGAGUAUC-AAA--AAA-------------------------------UGUCGGU-AGCU-AA-------------------------------------------------GGC-AAAGACA-GAUAC-GUUGA-AGCAGUAA +URS0000D66FB7_12908/1-61 ACUGU-GGAGUGUU-GUAUAAA--------------------------------CGUUGGU-AGCU--A-----------------C-------------------------------GGC-AAAGACG-GACAC-GACGA-AGCAGUAA +URS0000D6B3ED_12908/1-61 CCUGU-GGAGUGUC-AUACAAA--------------------------------CGAUGGU-AGCU--------------------UU------------------------------GGC-AAAAUCG-GAUAC-GAUGA-AACAGGAA +URS0000D68CC3_12908/1-61 CCUGU-GGAGUGUC-AUACAAA--------------------------------CGAUGGU-AGCU-UU-------------------------------------------------GGC-GAAGUCG-GAUAC-GAUGA-AACAGGAA +URS0000D6A92D_12908/1-61 GCUAU-GGAGUGUC-AUAUAAA--------------------------------CUGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCAG-GACAC-UGCGA-AGUAGUGA +URS0000D687A4_12908/1-61 GCUGU-GGAGCGUC-AAACAAA--------------------------------CCCAAGU-AGUC--------------------AC------------------------------GAC-GAACGGG-GACGC-UGUGA-AGCAGUAA +URS0000D6C357_12908/1-61 ACUGU-GGAGCGUC-AAACAAA--------------------------------CCCAAGU-AGUU--------------------AC------------------------------GAC-GAACGGG-GACGC-UGUGA-AGCAGUAA +URS0000D67ED8_12908/1-61 ACUGU-GGAGCGUC-ANACAAU--------------------------------CCCAAGU-AGUU--------------------AC------------------------------GAC-GAACGGG-GACGC-UGUGA-AGCAGUAA +URS0000D6B0B9_12908/1-61 GCUGU-GGAGCGUC-AAACAAA--------------------------------CCCAAGU-AGUC--A-----------------C-------------------------------GAC-GAACGGA-GAUGC-UGUGA-AGCAGUAA +URS0000D6606F_12908/1-61 ACUGU-GGAGCGUC-AUACAAA--------------------------------CCAAAGU-AGCC-AA-------------------------------------------------GGC-AAAAUGG-GACGC-UACGA-AGCAGUAA +URS0000D65B8B_12908/1-61 GCUGU-GGAGCGUC-AUACAAA--------------------------------CCAAAGU-AGUU--------------------CC------------------------------GAC-GAAAUGG-GACGC-UACGA-AGCAGUAA +URS0000D6730F_12908/1-61 GCUGU-GGAGAGUU-AUACAAA--------------------------------CGAAAGU-AGCU-A------------------A-------------------------------GGC-AAAAUCG-GACUU-UAUGA-AGCAGCGA +URS0000D6B856_12908/1-61 ACUGU-GGAGAGUU-AUACAAA--------------------------------CGAAAGU-AGCU-A------------------A-------------------------------GGC-AAAAUCG-GACUC-UAUGA-AGCAGUGA +URS0000D69649_12908/1-61 CCUUU-GGAGAGCU-AAAAUCA--------------------------------CUAAAGU-AGCU-UA-------------------------------------------------AGC-GAAAUAG-AGUUC-AAUGA-AGAAGGAA +URS0000D68C7C_12908/1-61 CCUUU-GGAGAAUU-ACACCAA--------------------------------CCCAAGU-AGCU--------------------AC------------------------------GGC-AAAAGGG-AAUUC-GUUGA-AGAAGGAA +URS0000D6A5EF_12908/1-61 CUCUU-GGAGAAUU-ACACCAA--------------------------------CCCGAGU-AGCU-UA-------------------------------------------------GGC-AAAAGGG-AAUUC-GUUGA-AGAGAGAA +URS0000D682C7_212717/1-61 CCUAU-GGAGUGUU-ACACAAA--------------------------------UGAAAGU-AGAC-UU-------------------------------------------------GGU-AAAAUCG-GAUAC-UAUGA-AGUAGGAA +URS0000D66D02_1231072/1-61 CCUAU-AGAGUGUU-ACACAAA--------------------------------CGAAAGU-AGCC-UU-------------------------------------------------GGU-AAAAUCG-GAUAC-UAUGA-GGUAGGAA +URS0000D69445_12908/1-61 CCCUC-GGAGUACC-AUACCAA--------------------------------CGAAAGU-AGCU--------------------GC------------------------------GGC-AAAAUCG-GGUAC-GUUGA-AAAGGGAA +URS0000D65CC6_12908/1-78 CUUGU-GGACUGUU-CUACCAAA-------------------------------UGGGAGU-AGUC---UU-UAU-----------AUCUCG----------------AUACAAA---AAC-AAAACCA-GACAG-GAUGA-AGCAAGAA +URS0000D674FC_12908/1-79 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGGAGU-AGAU---UUAUA------------UUUGAGGA---------------UAUAAA---AAC-AAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D67959_12908/1-88 CUUGU-GGACUGUU-AUAACAAA-------------------------------UGGAAGU-AGAU--UUUAUAUUAU--------UUUGAGAU-----------AUGAUAUAAA---AAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D6B8DB_12908/1-88 CUUGU-GGACUGUU-AUAGUAAA-------------------------------UGGAAGU-AGAU--UUUAUAUUAU--------UUUGAGAU-----------AUAAUAUAAA---AAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D69875_12908/1-88 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGAAGU-AGAU--UUUAUAUUGU--------UUUGAGAU-----------AUAAUAUAAA---AAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D6701B_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGGAGU-AGUC--UUUUUUC-----------UUCAA-----------------GAAAUGAG--GAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6BEDF_12908/1-80 CUUGU-GGACUGUU-AUAGCGAA-------------------------------UGGGAGU-AGUU-UUUAUUC------------UUCAAA-----------------GAAUGAA--GAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D67E43_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGGAGU-AGUC---UUUUUUU----------CUUC-----------------AAAAAAGAG--GAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6C6E8_12908/1-76 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGGAGU-AGAU-UUAU---------------AUAAUGAU------------------AUAA--AAC-CAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D6BCC8_12908/1-76 CUUGU-GGACUGUU-AUACAAA--------------------------------CGAAAGU-AGU---AGAAA-------------UAAAUUCA----------------UUUCUA---AC-GAAAUCG-GACAG-GAUGA-AGCAAGAA +URS0000D66466_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGGAGU-AGCC--UUUUUUCUU---------CAA-----------------GAGAUGAG----GGC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D660F8_12908/1-61 CUUGU-GGACUGUU-AUAAAAA--------------------------------CGAGAGU-AGCC-CA-------------------------------------------------GGC-AAAAUCG-GACAG-GAUGA-AGCAAGAA +URS0000D6BC1D_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC-UUU-ACGCU----------UCGA-----------------AGUGU-AAA--GUC-AAAAUCA-GACAG-GUUGA-AACAAGAA +URS0000D66DC0_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGAAGU-AGAU----UUUAUAUC--------UCAU---------------GAUAUAAA-----AAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6B4CD_12908/1-83 CUUGU-GGACUGUU-AUGACAAA-------------------------------UGGAAGU-AGAU----UUUAUAUC--------AUGAUGU------------GAUAUAAA-----AAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D6809A_12908/1-83 CUUGU-GGACUGUU-AUAACAAA-------------------------------UGGAAGU-AGAU----UUUAUAUC--------AUGAUGU------------GAUAUAAA-----AAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D66683_12908/1-80 CUUGU-GGACUGUU-ACAUCAAA-------------------------------UGGAAGU-AGAU-UU---UAUAU---------UUCAUG--------------AUA---UAAA--AAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D68628_12908/1-80 CUUGU-GAACUGUU-AUAUCAAA-------------------------------UGGAAGU-AGAU-UU---UAUAU---------UUCAUG--------------AUA---UAAA--AAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D66868_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGAAGU-AGAU-UU---UAUAU---------UUCAUG--------------AUA---UAAA--AAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6C8D2_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGGAGU-AGAU-UUUA---UAU---------CUUAUA--------------AUA---UAAA--AAC-AAAACCA-GACAG-GAUGA-AGCAAGAA +URS0000D66FE0_12908/1-80 UUUGU-GGACUGUU-AUAACAAA-------------------------------UGGAAGU-AGAU-UUUAUA-------------UUUCAUGA------------------UAUAAAAAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6A6F9_12908/1-80 CUUGU-GGACUGUU-AUAACAAA-------------------------------UGGGAGU-AGAU-UUUAUG-------------UUUUAGGA------------------UAUAAAAAC-CAAACCA-GACAG-GAUGA-AGCAAGAA +URS0000D68DAB_12908/1-78 CUUGU-GGACUGUU-AUAACAAA-------------------------------UGGGAGU-AGAU-UUUA---------------UAUGAUGA------------------UAUAAAAAC-CAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D68F44_12908/1-75 CUUGU-GGACUGUC-AUAACAAA-------------------------------UGGGAGU-AGAU-UUUAU--------------AUGAU--------------------AUAAA--AAC-CAAACCA-GACAG-GGAGA-AGCAAGAA +URS0000D660D5_12908/1-78 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGAAGU-AGAU-UUUAUA-------------UUAAGA------------------UAUAAA--AAC-CAAACCA-GACAG-GAAGA-AGCAAGAA +URS0000D67B3A_12908/1-79 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGAAGU-AGAU-UUUAUA---U---------AUCAA---------------G---UAUAAA--AAC-AAAACCA-GACAG-GAAGA-AACAAGAA +URS0000D65D03_12908/1-80 CUUGU-GGACUGUU-AUAAUAAA-------------------------------UGGAAGU-AGAU-UUUAUAU------------UUCAUG-----------------AUAUAAA--AUC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6729A_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGGAGU-AGAU-UUUAUAU------------UUUAUA-----------------AUAUAAG--GAC-AAAACCA-GACAG-GGUGA-AGCAAGAA +URS0000D69681_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGGAAGU-AGAU-UUUAUAUU-----------UUAU------------------GAUAUAAG--GAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D6A11F_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGGAGU-AGAU-UUUAUAUC-----------UCAC---------------G---GUAUAAG--AAC-AAAACCA-GACAG-GGUGA-AACAAGAA +URS0000D69095_12908/1-80 CUUGU-GGACUGUU-AUAGUAAA-------------------------------UGGGAGU-AGAU-UUUAUAUC-----------UUAG------------------GAUAUAAG--AAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D67829_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGGAGU-AGAU-UUUAUAUC-----------UCAG------------------GAUAUAAG--AAC-AAAACCA-GACAG-GUCGA-AGCAAGAA +URS0000D67F41_12908/1-80 CUUGU-GGACUGUU-AUAGCAAA-------------------------------UGGGAGU-AGAU-UUUAUAUC-----------UCAC------------------GGUAUAAG--AAC-AAAACCA-GACAG-GUUGA-AGCAAGAA +URS0000D69D12_12908/1-80 CUUGU-GGAUUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAU----UUUAUAC---------CUCAGA--------------GUAUAAA-----GAC-AAAAUCA-GACAG-GAUGA-AGCAAGAA +URS0000D69C97_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC-UUU---AUAU---------UUUAAG--------------GUG---UAAA--GAC-CAAAUCA-GACAG-GUAGA-AGCAAGAA +URS0000D69D63_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC-UUU---AUAU---------UUCAAG--------------GUA---UAAA--GAC-CAAAUCA-GACAG-GUAGA-AGCAAGAA +URS0000D6C40F_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC-UUUGC---AU---------UUUAAA--------------GU---GUAAA--GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D69E4A_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC-UUUACA-------------UUUCAAG----------------GUGUAAA--GUC-CAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D65BD8_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGCC-UUUACA-------------UUUCAAG----------------GUGUAAA--GAC-AAAAUCA-GACAG-GGUGA-AGCAAGAA +URS0000D6A041_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGGC-UUUACA-------------UUUCAAG----------------GUGUAAA--GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D699A0_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC-UUUAUAU------------UUUAAG-----------------GUAUAAA--GUC-CGAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D672B7_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC-UUUACAC------------UUUAAU-----------------GUGUAAG--GAC-AAAAUCA-GACAG-GUUGA-AACAAGAA +URS0000D66FD5_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC-UUUGCAU------------UUCAAU-----------------GUGUGGA--GAC-AAAAUCA-GACAG-GGUGA-AGCAAGAA +URS0000D6CD4F_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC-UUUACAU------------UUCAAG--------------A---UGUAGA--GAC-AAACUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6742B_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC-UUUACAU------------UUCAAG--------------A---UGUAGA--GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6D07B_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC----UUUACAU---------UUCAAA--------------GUGUAAA-----GAC-CAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D67FDC_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC----UUUACAU---------UUCAAG--------------GUGUA---AA--GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D68115_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC----UUUACAU---------UUCAAG--------------GUGUA---AA--GAC-AAAAUCA-GACAG-GGUGA-AGCAAGAA +URS0000D6C05D_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAG----UUUACAU---------UUCAAG--------------GUGU--AAG---GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D67DCD_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC--GUU--ACAC---------UUCACA--------------GUGU--AAA---GAC-AAAAUCA-GACAG-GAUGA-AGCAAGAA +URS0000D67192_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AAAC-U-UUGCA------------UUUUAAAG---------------UGUAAA---GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6CFC4_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAAAGU-AGAC--CUUACA--U---------UUCAAA--------------G--UGUAAA---GAC-CAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6A861_12908/1-80 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAGU-AGAC--AUUACAU-----------UUUAAA----------------GUGUGAA---GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6AD15_12908/1-79 CUUGU-GGACUGUU-AUAUCAAA-------------------------------UGAGAAU-AGAC---UUACAC-----------UUCAAA----------------GUGUAAA---GAC-AAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6612D_12908/1-82 CUUGU-GGACUGUU-UUAUAUCAAA-----------------------------CGAGAGU-AGAC----UUUGCAU---------UUUAAA--------------GUGUGAA-----GAC-CAAAUCA-GACAG-GUUGA-AGCAAGAA +URS0000D6D2A9_12908/1-80 CUUGU-GGACUGUC-AUAUCAAA-------------------------------UGAGAGU-AG----ACUUUACAU---------UUCAAA--------------GUGUGAAAA-----U-GAAAUCA-GACAG-GUAGA-AGCAAGAA +URS0000D6767A_12908/1-73 CCUUU-GGAGCGUC-AAAAAAAA-------------------------------CGUGAUU-AGCCAGUCA---------------GAAA----------------------UGGC--GGC-GAAAGCG-GAUGC-GGUGA-AUUAGGAA +URS0000D6B048_12908/1-73 CCUUU-GGAGCGUC-AAAAAAAA-------------------------------CGUGAUU-AGCC-GGUC---------------AGAAAU--------------------GGC---GGC-GAAAGCG-GAUGC-GGUGA-AUUAGGAA +URS0000D6964F_12908/1-72 CCUUU-GGAGCGUC-AAAAAAA--------------------------------CGUGAUU-AGCC-GGUC---------------AGAAAU--------------------GGC---GGC-GAAAGCG-GAUGC-GGUGA-AUUAGGAA +URS0000D6CE89_12908/1-69 CCUAU-GGAGUAUC-ACAUCAAA-------------------------------CGCAAGU-AGCU--GUU---------------AUCA----------------------AA----AGC-AAAAGCA-GAUAC-GAGGA-AAUAGGAA +URS0000D669B9_12908/1-68 CCUAU-GGAGUAUC-ACAUCAAA-------------------------------UGUGAGU-AGCU---GU---------------UACC----------------------AC----UGC-AAAAGCA-GAUAC-GAUGA-AAUAGGAA +URS0000D6AD43_12908/1-72 CCUCU-GGACUGUU-AUACCAAA-------------------------------CGUAAGU-AGCC-AAUU---------------AGCAG------------------------CACGGC-AAAAACG-GACAG-GAUGA-AAGAGGAA +URS0000D6994D_12908/1-75 CCCUU-GGAGCGUU-AUACCAAA-------------------------------CGAAAGU-AGCU--AGACU-------------AUUUUAU-----------------A-GC----AGU-AAAAUCG-GGCGC-GAUGA-AUAGGGAA +URS0000D6BF8F_12908/1-79 CCUUU-GGAGCGUU-ACAUCAAA-------------------------------CGAGAGU-AGCACUACUGGA------------CUUGG------------------UUCAGGA---GC-GAAAUUG-GACGC-GAUGA-AUGAGGAA +URS0000D6CACC_12908/1-70 CCUCC-GGAGCGUU-AUACCAAA-------------------------------CGUGAGU-AGCC--AG----------------CAACA----------------------CA---GGCAAAAAACG-GACGC-GAAGA-ACGAGGAA +URS0000D69CBB_12908/1-62 CCUCU-GGAGCGUC-AUACCAAA-------------------------------CGUGAUU-AGCU-UA-------------------------------------------------GGC-GAAAGCG-GACGC-GAAGA-AUGAGGAA +URS0000D68617_12908/1-62 CCUCU-GGAGCGUC-AUACCAAA-------------------------------CGUGAUU-AGCU-AA-------------------------------------------------GGC-GAAAGCG-GACGC-UAUGA-AUGAGGAA +URS0000D65FDA_12908/1-65 ACUGU-GGAGUAUU-AUACCAAA-------------------------------UGUAAGU-AGCU-U------------------UUAU----------------------------AGC-AAAAGCA-GAUAC-GUUGA-GACGGUUG +URS0000D689FE_1144308/1-62 CCUGU-GGAGUGUC-AUAUCCAA-------------------------------UGUAAGU-AGCU--------------------UC------------------------------GGC-AAAAGCA-GGCAC-GAAGA-AGCAGGAA +URS0000D69B8B_1230477/1-62 CCUGU-GGAGUAUC-AUAUCAAA-------------------------------UGUGAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCA-GAUAC-AAAGA-AGCAGGAA +URS0000D6B103_12908/1-65 ACUGU-GGAGUAUC-AUAUCAAA-------------------------------UGCGAGU-AGCU-U------------------UUAU----------------------------GGC-AAAAGCA-GAUAC-GUUGA-AACAGUAA +URS0000D6A265_12908/1-62 CCUUU-GGAGCGUC-ACACCAAA-------------------------------CGCAAGU-AGAU-UC-------------------------------------------------GUC-AAAAGCG-GACGC-GUUGA-AUUAGGAA +URS0000D6861B_12908/1-62 CCUUC-GGACUGUU-GUAUCAAA-------------------------------CGAAAGU-AGCU--------------------UC------------------------------GGU-GAAAUCG-GACAG-GAUGA-ACAAGGAA +URS0000D661D0_12908/1-64 CCUUG-GGAGAGUU-AUACAAA--------------------------------CUGAAGU-AGC---AUU-----------------------------------------AAAA---GC-AAAACAG-AGCUC-AAUGA-AUAAGGAA +URS0000D691C5_1289590/1-73 CCUGU-GAAGAAUU-AUACAAAA-------------------------------UGAAAGU-AGUA-UGUG---------------AUUUAU--------------------CAC---UAC-AAAAUCA-GAUUC-GUUGA-AACAGGAA +URS0000D690DE_12908/1-66 CCUGU-GGAGAAUU-AUAUCAAA-------------------------------CGAAAGU-AGUA-U------------------UCAUA---------------------------UAC-AAAAUCG-GAUUC-GAUGA-AACAGGAA +URS0000D6C127_12908/1-66 CCUGU-GGAGAAUU-AUAUCAAA-------------------------------CGAAAGU-AGUA--------------------UUUAUU--------------------------UAC-AAAAUCG-GAUUC-GAUGA-AACAGGAA +URS0000D68CA1_12908/1-73 ACUGU-GAAGUGCU-AUACAAA--------------------------------CUGUAGU-AGAU-UGAU---------------ACUUGGU-------------------AUC---AUC-AAGGCAG-AGCAC-GUUGA-AGCAGUAA +URS0000D6C598_583346/1-61 ACUGU-GGAGUGCU-GUGCAAA--------------------------------CUGGAGU-AGCU-UA-------------------------------------------------GGC-AAAACAG-AGUAC-GUUGA-AGCAGUAA +URS0000D6C193_536227/1-61 ACUGU-GGAGUGCU-AAGCAAA--------------------------------CUGUAGU-AGCU-U------------------C-------------------------------GGC-AAGGCAG-AGUAC-GUUGA-AACAGUAA +URS0000D66EAF_658056/1-61 ACUGU-GGAGUGCU-AUAUAAA--------------------------------CUGUAGU-AGCU-UA-------------------------------------------------GGC-AAGACAG-GGUAC-GUUGA-AACAGUAA +URS0000D6B139_929505/1-61 ACUGU-GGAGUGCU-AUACAAA--------------------------------CUGUAGU-AGCU-UA-------------------------------------------------GGC-AAGACAG-GGUAC-GUUGA-AACAGUAA +URS0000D6A33F_86416/1-61 ACUGU-GGAGUGCU-AUACAAA--------------------------------CUGUAGU-AGCU-UA-------------------------------------------------GGC-AAAGCAG-AGUAC-GUUGA-AACAGUAA +URS0000D69214_12908/1-62 ACUGU-GGAGUGCU-AUACAAA--------------------------------CUGUAGU-AGCUAUA-------------------------------------------------GGC-AAGGCGG-AGCAC-GUUGA-AACAGUAA +URS0000D65C0A_1262449/1-72 ACUGU-GGAGUGCU-AUACAAA--------------------------------CUGUAGU-AGCU---UC---------------GGCAAGGCA-----------------GA----GGC-AAGGCAG-AGUAC-AUUGA-AGCAGUAA +URS0000D69C71_1262449/1-61 ACUGU-GGAGUGCU-AUACAAA--------------------------------CUGUAGU-AGCC-UC-------------------------------------------------GGC-AAGGCAG-AGUAC-AUCGA-AGCAGUAA +URS0000D67FB4_1345695/1-63 ACUAU-GGAGUGUU-AUAUAAAG-------------------------------CUGUAGU-AGCUAUA-------------------------------------------------GGC-AAGACAG-AACAC-GUUGA-AAUAGUAA +URS0000D6AB43_12908/1-73 ACUGU-GGAUUGCU-AUACAAA--------------------------------CUGUAGU-AGGU--AGAU--------------AUUUUGU------------------AUC----AUC-AAGGCAG-AGUAC-GGUGA-AACAGUAA +URS0000D663BA_12908/1-62 CCUUU-GGAGUGUC-AUACCAAA-------------------------------CUGUAGU-AGCC-CA-------------------------------------------------GGC-AAGGCAG-GACAC-GUUGA-AUAAGGAA +URS0000D6C4AB_12908/1-76 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CUGUAGU-AGUC-UGUU---------------GCUAA---------------------AGUAACGAC-AAGGCAG-GACACGAUUGA-AGCAGGAA +URS0000D67A25_12908/1-62 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CUGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCAG-GACAC-GCUGA-AACAGGAA +URS0000D6D3B3_12908/1-62 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CUGUAGU-AGCU-UA-------------------------------------------------GGC-AAGGCAG-GACAC-GAUUA-AAGAGAAA +URS0000D68B6D_12908/1-62 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CCGUAGU-AGCU-UC-------------------------------------------------GGC-AAGGCGG-GACAC-UUUGA-AGCAGGAA +URS0000D6C4E5_261594/1-67 CCUGU-GGAGUGUU-AGAUCAAA-------------------------------CUGUAGU-AGCG--------------------AGUGGUU-------------------------GGC-AAGGCAG-GACAC-GUAGA-AGCAGGAA +URS0000D68AF6_1053205/1-67 CCUGU-GGAGUGUU-AAAUCAAA-------------------------------CUGUAGU-AGCA--A-----------------GUAAU-----------------------U---AGC-GAAACAG-GAUAC-AUAGA-AGCAGGAA +URS0000D68AF6_718224/1-67 CCUGU-GGAGUGUU-AAAUCAAA-------------------------------CUGUAGU-AGCA--A-----------------GUAAU-----------------------U---AGC-GAAACAG-GAUAC-AUAGA-AGCAGGAA +URS0000D6CBB0_699184/1-67 CCUGU-GGAGUGUC-AUAGCAAA-------------------------------CUGUAGU-AGCG--------------------AGGUAGU-------------------------GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D680EC_1053236/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CUGUAGU-AGCG--AAU---------------G-------------------------AUU---GGC-GAGACAG-GACAC-AUAGA-AGCAGGAA +URS0000D6826A_1053236/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6826A_526976/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6826A_1053248/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6C334_526989/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6C334_1053186/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6C334_1053229/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6C334_527019/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6C334_1053231/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--AGU-----------------G-----------------------AUU---GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D69865_637380/1-69 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AAGA---------------AUGA----------------------UUA----GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D69865_1053216/1-69 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AAGA---------------AUGA----------------------UUA----GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C674_527029/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C674_1053182/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6699B_1209364/1-67 CCUGU-GAAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6699B_1053225/1-67 CCUGU-GAAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6699B_405532/1-67 CCUGU-GAAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6699B_1053241/1-67 CCUGU-GAAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D67005_1053166/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-GGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526970/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526975/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1053184/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1053222/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1053235/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_361100/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1163722/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_405533/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_451709/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1234146/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526973/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526971/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526985/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1053216/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526987/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1053178/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_1085388/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_930170/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_269801/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_451707/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_699184/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6C992_526980/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D665B6_1405/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CUGAAGU-AGCG--A-----------------GUUAUU--------------------------GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D69D3C_526972/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGC-GAGACAG-GACAC-AUAGA-GGCAGGAA +URS0000D6AA2A_1053219/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGU-GAGACAG-GACAC-GCAGA-AACAGGAA +URS0000D6BE78_1053204/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D6CD14_526976/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGC-GAGACAG-GACAC-GCAGA-AGCAGGAA +URS0000D6CD14_1053236/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGC-GAGACAG-GACAC-GCAGA-AGCAGGAA +URS0000D67DF1_526968/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUAAUU-----------------------G---GC-GAGACAG-GACAC-AGAGA-AGCAGGAA +URS0000D66F16_1217984/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUAAUU-----------------------G---GC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D66F16_1053179/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUAAUU-----------------------G---GC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D66F16_222523/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUAAUU-----------------------G---GC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D66F16_1053195/1-67 CCUGU-GGAGUGUU-ACAGCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUAAUU-----------------------G---GC-GAGACAG-GACAC-GUAGA-AGCAGGAA +URS0000D66DF0_1053203/1-67 CCUGU-GGAGUGUU-AGAUCAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGU-GAGACAG-GACAC-AUAGA-AGCAGGAA +URS0000D65E8A_1085388/1-67 CCUGU-GGAGUGUU-ACAGUAAA-------------------------------CUGUAGU-AGCG--A-----------------GUUAGU--------------------------GGC-GAGGCAG-GACAC-AGAGA-AGCAGGAA +URS0000D6AF4D_1126681/1-69 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGCA--A-G---------------AGUGA---------------------UU----AGC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +URS0000D6D047_269801/1-67 CCUGU-GGAGUGUU-GCAUCAAA-------------------------------CUGUAGU-AGCG--AG----------------UUAA-----------------------U----GGC-GAGACAG-GACAC-AUAGA-AGCAGGAA +URS0000D6C997_699184/1-67 CCUGU-GGAGUGUU-GUAUCAAA-------------------------------CUGUAGU-AGCG--AG----------------UUAA-----------------------U----GGC-GAGACAG-GACAC-AUAGA-AGCAGGAA +URS0000D6717E_12908/1-66 CCUGU-GGAGUGUC-ACAUCCA--------------------------------CCGUAGU-AGCG--------------------AGCUUGG-------------------------GGC-GAGGCGG-GACAC-GUUGA-AGCAGGAA +URS0000D663A8_12908/1-74 CCCUU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGGU-U-GU---------------UAUUUAUA------------------AUU---UCC-AAAAUCG-AAUUC-GUAGA-ACAGGGAA +URS0000D672D0_12908/1-76 CCUAU-GGAGUGUC-AUAUCAAA-------------------------------CGAAAGU-AGUU--AAUAAG------------AUUUU------------------CUUAU----AAC-CAAAUCG-GACAC-GAUGA-AGUAGGAA +URS0000D6863A_12908/1-65 NNUUC-GGAGUGUC-AUAUCAAA-------------------------------CAUGAGU-AGAUUUA-----------------UU------------------------------AUC-AAAAGUG-GACAC-GGUGA-ACAAGGAA +URS0000D6B45B_12908/1-64 CCUUU-GGAGUGUC-CUAUCAAA-------------------------------CAUAAGU-AGAU-UU-----------------AU------------------------------AUC-GAAAAUG-GACAC-GGUGA-ACAAGGAA +URS0000D673AC_12908/1-65 CUUUU-GAAGUGUC-AUAUCAAA-------------------------------CAUGAGU-AGAU-U------------------UAUU----------------------------AUC-GAAAAUG-GACAC-GGUGA-ACAAGGAA +URS0000D68DA5_12908/1-65 CCUUU-GGAGUGUC-AUAUCAAA-------------------------------CAUGAGU-AGAU-U------------------UAUU----------------------------AUC-GAAAAUG-GACAC-GGUGA-ACAAGGAA +URS0000D6609F_12908/1-65 CCUUU-GGAGUGUC-AUAUCAAA-------------------------------CAUUAGU-AGAU-U------------------UAUU----------------------------AUC-GAAAAUG-GACAC-AAUGA-ACAAGGAA +URS0000D68558_12908/1-73 CCUGU-GGAGCGUU-ACAGCAAA-------------------------------CGCUAGU-AGCC-UGUC---------------AGUAAU--------------------GAC---GAC-CAACGCG-GACGC-UUUGA-AGCAGGAA +URS0000D6CF6B_12908/1-74 CCCUC-GGAGCGUU-AUAUCAAA-------------------------------CGAAAGU-AGUU-UUAG---------------UGAGAA--------------------CUAA--UAC-AAAAUCG-GGCGC-GAUGA-AUUGGGAA +URS0000D678A0_12908/1-74 CCUUU-GGAGCGUU-AUAUCAAA-------------------------------CGAAAGU-AGUC-UUAG---------------UAAAAA--------------------CUAA--UAC-AAAAUCG-GACGU-GUUGA-AUUAGGAA +URS0000D6B8B2_12908/1-72 CCUUU-GGAGAGUU-AGAUCAAA-------------------------------UCAAAGU-AGUC--ACUC--------------CUUG----------------------UGAU--GAC-AAAAUGA-GACUC-GUUGA-AUAAGGAA +URS0000D67B47_12908/1-64 CCCUU-GGAGUGUU-ACACCAAA-------------------------------UGAAAGU-AGUC--------------------CUUG----------------------------GAC-AAAAUCA-GACAC-GAUGA-AUAGGGAA +URS0000D66CFC_12908/1-76 CCCUU-GGAGCGUU-ACAUCAAA-------------------------------CGAAAGU-AGUC-AAGCU--------------AUUUAAUU-----------------GGC----GAC-AAAAUCG-GACGC-AAUGA-GUAGGGAA +URS0000D67BAF_12908/1-67 CCCUU-GGAGCGUU-ACAUCAAA-------------------------------CGAAAGU-AGUCGCA------------------GUAU---------------------------GGC-AAAAUCG-GAUGC-UAUGA-ACAGGGAA +URS0000D697A3_12908/1-67 CCCUC-GGAGCGUU-ACAUCAAA-------------------------------CGAAAGU-AGUC-GA-----------------GGUUU---------------------------GAC-AAAAUCG-GACGC-GUUGA-ACAGGGAA +URS0000D696E9_12908/1-67 CCCUC-GGAGCGUU-GCAUCAAA-------------------------------CGAAAGU-AGUC-GA-----------------GGUUU---------------------------GAC-AAAAUCG-GACGC-GUUGA-ACAGGGAA +URS0000D65A70_12908/1-67 CCCUC-UGAGCGUC-ACAUCAAA-------------------------------CGAAAGU-AGUCGCA------------------GUAU---------------------------GAC-AAAAUCG-GACGC-GUUGA-ACAGGGAA +URS0000D67C9B_12908/1-66 CCUUC-GGAGCGUC-AAAGCAA--------------------------------CGAAAGU-AGCA-UU-----------------AGUUU---------------------------UGC-CAAAUCG-GACGC-GUUGA-ACGAGGAA +URS0000D6D29F_12908/1-62 UCUAC-AGAGUGUU-AUAACAAA-------------------------------UGAGAGU-AGCU-UA-------------------------------------------------GGC-AAAAUCA-GACAC-GAUGA-AGUAGAAA +URS0000D65D1A_12908/1-62 UCUAU-GGAGUGUC-AUAACAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCA-GAUAC-GUUGA-AGUAGAAA +URS0000D65D1A_1263021/1-62 UCUAU-GGAGUGUC-AUAACAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCA-GAUAC-GUUGA-AGUAGAAA +URS0000D6B07B_12908/1-62 UCUAU-GGAGUGUC-AUAACAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCA-GACAC-GUUGA-AGUAGAAA +URS0000D6C130_583346/1-62 CCUUU-GGAGCAUC-AUAUCAAA-------------------------------CCAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUGG-GGUGU-AUUGA-AAAAGGAA +URS0000D6BDE5_86416/1-62 CCCUU-GGAGUGCU-UAUACAAA-------------------------------CCAAAGU-AGCU-UC-------------------------------------------------GGC-AAAAUGG-AGUAC-GUUGA-ACAGGGAA +URS0000D6641F_12908/1-78 CCUGU-GGACCGUU-AUACAAA--------------------------------CGAAAGU-AGUC-UAAAGAC------------CGAUAC-----------------GUCUUU---GAU-AAAAUCG-GACGG-UAUGA-AGCAGGAA +URS0000D65709_12908/1-70 CCCUU-GGAGUGUU-ACAGCAAA-------------------------------CGAAAGU-AGUA-UA-----------------UGAAAA--------------------UA----UAC-CAAAUCG-GACAC-GAUGA-ACAGGGAA +URS0000D678AD_12908/1-85 CUUUG-GGAGCGUU-AUAUCAAA-------------------------------CGAAAGU-AGU--UAGCAAACGAGC-------GUAA--------------GCGAGUAAGCG----AC-AAAAUCG-GACGC-GAUGA-ACAAGGAA +URS0000D6C7AB_12908/1-63 CCUUG-GAAGAGUU-AUAUCAAA-------------------------------CUAGAGU-AGAU-U------------------UU------------------------------AUC-GAAAUAG-GACUU-UAUGA-AUAAGGAA +URS0000D6AF06_12908/1-62 CCUUG-GGAGAGUU-AUAAAAA--------------------------------CUGAAGU-AGC---------------------CUUUA----------------------------GC-AAAACAG-GACUC-GAUGA-AUAAGGAA +URS0000D6CB72_12908/1-63 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------CUGAAGU-AGC---------------------GUUUA----------------------------GC-AAAACAA-GACUC-GAUGA-ACAAGGAA +URS0000D66E76_12908/1-63 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------CUGAAGU-AGC---------------------GUUUA----------------------------GC-AAAACAG-GACUC-GAUGA-ACAAGGAA +URS0000D67F6F_12908/1-63 CCUCA-GGAGAGUU-AUAUCAAA-------------------------------CUGAAGU-AGCU-U------------------UU------------------------------AGC-AAAACAG-GACUC-UAUGA-AUAAGGAA +URS0000D6A320_12908/1-63 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------CUGGAGU-AGCU-U------------------UU------------------------------AGC-AAAACAA-GACUC-UAUGA-AUAAGGAA +URS0000D67337_12908/1-63 CCUUG-GGAGAGUU-AUAUCAAA-------------------------------CUGAAGU-AGCU-U------------------UU------------------------------AGC-AAAACAG-GACUC-UGUGA-AUAAGGAA +URS0000D6796E_12908/1-63 CCUUG-GGAGAGUU-AUAUCAAA-------------------------------CUGGAGU-AGCU-U------------------UU------------------------------AGC-AAAACAG-GACUC-UGUGA-AUAAGGAA +URS0000D69F2E_12908/1-63 CCUUG-GGAGAGUU-AUAUCAAA-------------------------------CUGGAGU-AGCU-U------------------UU------------------------------AGC-GAAACAG-GACUC-UGUGA-AUAAGGAA +URS0000D68D53_12908/1-63 CCUUG-GGAGAGUU-AUAUCAAA-------------------------------CUGAAGU-AGCC-U------------------UU------------------------------AGC-AAAACAG-GAUUC-UGUGA-AUAAGGAA +URS0000D68BC6_12908/1-66 CCUUU-GGAGAGUU-AUACCAAA-------------------------------CUAAAGU-AGCU-U------------------UUGUU---------------------------AGC-AAAAUAG-GACUC-GACGA-AUAAGGAA +URS0000D6AD51_12908/1-66 CCUUU-GGAGAGUU-AAACCAAA-------------------------------CUAAAGU-AGCU-U------------------UUAUU---------------------------AGC-AAAAUAG-GACUC-AAUGA-AGAAGGAA +URS0000D6AD37_12908/1-66 CCUUU-GGAGAGUU-AUACCAAA-------------------------------CUAAAGU-AGCU-U------------------UUAUU---------------------------AGC-AAAAUAG-GACUC-UGUGA-AUAAGGAA +URS0000D6C920_12908/1-64 CCUUU-GGAGAGUU-AUACCAAA-------------------------------CUAAAGU-AGCU-U------------------UUU-----------------------------AGC-AAAAUAG-GACUC-UGUGA-ACAAGGAA +URS0000D6AC19_12908/1-64 CCUUU-GGAGAGUU-AUACCAAA-------------------------------CUAAAGU-AGC---------------------GUUUUA---------------------------GC-AAAAUAG-GACUC-UGUGA-AUAAGGAA +URS0000D6B5C6_12908/1-64 CCUUU-GGAGAGUU-AUACCAAA-------------------------------CUAAAGU-AGC---------------------GUUUUA---------------------------GC-AAAACAG-GACUC-UGUGA-AUAAGGAA +URS0000D6C6FF_12908/1-66 CCUUA-GGAGAGUC-AUACCAAA-------------------------------CUGGAGU-AGCU-UA-----------------UUA--------------------------U--AGC-AAAACAG-GACUC-UAAGA-AUAAGGAA +URS0000D68F8B_12908/1-63 CCUUU-GGAGAGUU-AUACCAAA-------------------------------CAGGAGU-AGUU-U------------------UU------------------------------AAC-GAAACUG-GACUC-UAUGA-AUUAGGAA +URS0000D67D6F_212717/1-61 CCCUC-GGAGUGCU-AUACAAA--------------------------------CCAAAGU-AGCU--------------------AU------------------------------GGC-AAAAUGG-AGUAC-AUUGA-ACAGGGAA +URS0000D6917A_592027/1-61 CCCUU-GGACUGUU-AUACAAA--------------------------------CCAAAGU-AGCC-U------------------C-------------------------------GGC-AAAAUGG-AACAG-GUGGA-ACAGGGAA +URS0000D6A440_929506/1-61 CCCUU-GGACUGUU-AUACAAA--------------------------------CCAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUGG-AACAG-GUUGA-ACAGGGAA +URS0000D6C36D_929506/1-61 CCCUU-GGACUGUU-AUACAAA--------------------------------CCAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUGG-AACAG-GUUGA-AUAGGGAA +URS0000D65CC1_12908/1-61 CCUCU-GGAGUGUC-ACAUCAA--------------------------------CGCUAGU-AGCU-UU-------------------------------------------------GGC-GAAAGCG-GACAC-UAUGA-AUGAGGAA +URS0000D67A97_12908/1-63 CCUCU-GGAGUGUC-ACAUCAA--------------------------------CGCUAGUUAGCU-UU-------------------------------------------------GGC-GAAAGCG-GACACGUAUGA-AUGAGGAA +URS0000D6766D_12908/1-62 CCUCU-GGAGUGUC-ACACAAAA-------------------------------CGCUAGU-AGCU--------------------UU------------------------------GGC-GAAAGCG-GACAC-UAUGA-AUGAGGAA +URS0000D69F0A_12908/1-62 CCUCU-GGAGUGUC-ACAUCAAA-------------------------------CGCUAGU-AGCU--------------------UU------------------------------GGC-GAAAGCG-GACAC-UAUGA-AUGAGGAA +URS0000D6CC75_12908/1-62 CCUCU-GGAGUGUC-ACAUCAAA-------------------------------CGCUAGU-AGCU--------------------UU------------------------------GGC-GAAAGCG-GACAC-GAUGA-AUGAGGAA +URS0000D6C94F_12908/1-73 CCUCC-GGAGCAUU-AUAUCAAA-------------------------------CGUAAGU-AGCU-UGUC---------------CUUCGG--------------------GAG---GGC-AAAAACG-GAUGC-GAUGA-ACGAGGAA +URS0000D6CFC7_12908/1-73 CCUCC-GAAGCAUU-AUAUCAAA-------------------------------CGUAAGU-AGCU-UGUC---------------CUUCGG--------------------GAG---GGC-AAAAACG-GAUGC-GAUGA-ACGAGGAA +URS0000D6B9E9_12908/1-73 CCUCC-GGAGCAUU-AUAUCAAA-------------------------------CGUGAGU-AGCU-UGUC---------------CUUCGG--------------------GAU---GGC-AAAAACG-GAUGU-GAUGA-ACGAGGAA +URS0000D6B552_12908/1-73 CCUCC-GGAGCAUU-AUAUCAAA-------------------------------CGUGAGU-AGCU-UGUC---------------CUUCGG--------------------GAG---GGC-AAAAACG-GAUGU-GAUGA-ACGAGGAA +URS0000D6AB89_12908/1-73 CCUCC-GGAGCAUU-AUAUCAAA-------------------------------CGCAAGU-AGCU-UGUC---------------CUUCUG--------------------GAU---GGC-AAAAACG-GAUGU-GAUGA-AUGAGGAA +URS0000D6AA8D_12908/1-73 CCUCC-GGAGCAUU-AUAUCAAA-------------------------------CGCAAGU-AGCU-UGUC---------------CUUCUG--------------------GAU---AGC-AAAAACG-GAUGU-GAUGA-ACGAGGAA +URS0000D68F35_12908/1-73 CCUCC-GGAGCAUU-AUAUCAAA-------------------------------CGCAAGU-AGCU-UGUC---------------CUUCUG--------------------GAU---GGC-AAAAACG-GAUGU-GAUGA-ACGAGGAA +URS0000D65F71_12908/1-73 CCUCC-GGAGCAUU-CUAUCAAA-------------------------------CGUGAGU-AGCU-UGUC---------------CUUCGA--------------------GAU---GGC-AAAAACG-AAUGC-GAUGA-ACGAGGAA +URS0000D6B0B8_1128398/1-65 CCCUU-GGAGUGUU-AUAUCAUC------AA----------------------ACGAGAGU-AGUU-UA-------------------------------------------------GAC-AAAAUCG-GACAC-GAUGA-ACAGGGAA +URS0000D66FB5_212717/1-62 CCUAU-GGAGUGUU-AUAGCAAA-------------------------------CGAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUCG-GAUAU-UAUGA-AGUAGGAA +URS0000D685D0_941968/1-62 CCUAU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUCG-AACAU-UAUGA-AGUAGGAA +URS0000D685D0_498213/1-62 CCUAU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUCG-AACAU-UAUGA-AGUAGGAA +URS0000D668DA_545243/1-62 CCUAU-GGAGUGUU-AUAACAAA-------------------------------CCAAAGU-AGCU-UU-------------------------------------------------GGC-AAAAUGG-AACAC-UAUGA-AUUAGGAA +URS0000D693E4_545243/1-61 CUUAU-GGAGUGUU-AUACAAA--------------------------------CCAAAGU-AGCU-U------------------G-------------------------------GGC-AAAAUGG-AACAC-UAUGA-AGUAGGAA +URS0000D690EE_12908/1-62 CCUAU-GGAGUGUC-ACAUCAAA-------------------------------CGAAAGU-AGCC-UC-------------------------------------------------GGC-AAAAUCG-GACAC-AACGA-AGUAGGAA +URS0000D672FE_1053229/1-62 CCCUC-GGAGAGUU-ACAGCAAA-------------------------------CAAAAGU-AGCU-UC-------------------------------------------------GGC-AAAAUUG-GACUC-GUAGA-ACAGGGAA +URS0000D6AD5E_12908/1-63 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------CAAAAGU-AGCUUUU-------------------------------------------------AGC-AAAAUUG-GACUC-AUUGA-ACAGGGAA +URS0000D6C8B9_12908/1-62 CCUUU-GGAGUGUU-ACAACAAA-------------------------------CGAAAGU-AGC---------------------UAAU-----------------------------GC-GAAAUCG-GACAC-UGAGA-AGAAGGAA +URS0000D694E7_12908/1-86 CCUUU-GGAGCGUU-AAGCCAAA-------------------------------CGAAAGU-AGCC-AAGCAAACAAGC-------GUAA--------------GCGAGUAAGC----GGC-AAAAUCG-GACGC-AAUGA-AGAAGGAA +URS0000D6AA98_12908/1-86 CCUUU-GGAGCGUU-AAGCCAAA-------------------------------CGAAAGU-AGCC-GGGCGAAUAAGC-------GCAA--------------GCGAGCGAGC----GGC-AAAAUCG-GACGC-GAUGA-AUUAGGAA +URS0000D68F1A_12908/1-73 CCUUU-GGAGUGUU-ACAGCAAA-------------------------------CGAAAGU-AGUA-UAUC---------------CUUUGG--------------------GAU---UAC-AAAAUCG-GACAC-AUUGA-AAAAGGAA +URS0000D6C1F8_12908/1-73 CCUGU-GGAGCGUU-ACAGCAAA-------------------------------CGUUAGU-AGUC--AGUC--------------AGUGAU-------------------GGC----GAC-AAAAGCG-GACGC-GUUGA-AGCAGGAA +URS0000D67126_12908/1-74 CCCUC-GGAGUGUU-AAAGCAAA-------------------------------CGAAAGU-AGUU-UAUUC--------------CUUGU--------------------GAAG---AAC-GAAAUCG-GACAC-GUUGA-ACAGGGAA +URS0000D6CA08_12908/1-58 -CCCA----GUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUC-UG-------------------------------------------------GAC-GAAAUCG-GACAC-GUUGA-AUAGGGAA +URS0000D67342_12908/1-63 CCUGU-GGAGUGUUUACAUCAAA-------------------------------CCAAAGU-AGCU--------------------CC------------------------------GGC-AAAAUGG-GACAC-UGUGA-AGCAGGAA +URS0000D6A7D1_12908/1-67 CCUCU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUC-GC-----------------AGUUU---------------------------GGC-AAAAUCG-GACAC-GUUGA-ACGAGGAA +URS0000D6C893_927704/1-73 CCUCU-GGAGCGUU-AUAUCAAA-------------------------------CGUGAGU-AGUC-UGUU-C-------------UUCG--------------------GGAC----GGC-AAAAGCG-GACGC-AGUGA-AUGAGGAA +URS0000D69161_927704/1-73 CCUUU-GGAGCGUU-AUAUCAAA-------------------------------CGUGAGU-AGUC-UGUU-C-------------UUCG--------------------GGAC----GGC-AAAAGCG-GACGC-AGUGA-AUGAGGAA +URS0000D6C2A3_12908/1-73 CCUCU-GGAGCGUU-AUAUCAAA-------------------------------CGUGAGU-AGUC-UGUU-C-------------UUCG--------------------GGAC----GGC-AAAAGCG-GACGC-GGUGA-AUGAGGAA +URS0000D6B7E6_927704/1-73 CCUGU-GGAGCGUU-AUAUCAAA-------------------------------CGAGAGU-AGCU-UGUU---------------CUUCG---------------------GAGU--GGC-AAAAUCG-GACGC-AAUGA-AUCAGGAA +URS0000D6D29E_927704/1-73 CCUGU-GGAGCGUU-AUAUUAAA-------------------------------CGAGAGU-AGCU-UGUU---------------CUUCG---------------------GAGU--GGC-AAAAUCG-GACGC-AAUGA-AUCAGGAA +URS0000D6A255_12908/1-62 CCUCU-GGAGCGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GACGC-GGUGA-AUGAGGAA +URS0000D6CA46_12908/1-74 CCUGU-GGAGCGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU---GCC--------------UGCUUC-------------------GGCAG--GGC-AAAAUCG-GACGC-AAUGA-AACAGGAA +URS0000D68A37_12908/1-74 CCUGU-GGAGCGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU---GCC--------------UGCUUC-------------------GGCAG--GGC-AAAAUCG-AACGC-AAUGA-AACAGGAA +URS0000D67815_12908/1-73 CCUCU-GGAGCAUU-ACAUCAAA-------------------------------CGCAAGU-AGCU-U-CG---------------UGCUUG--------------------CGCG--GGC-AAAAGCG-GAUGC-GAUGA-AUGAGGAA +URS0000D6C4B6_1212764/1-62 CCUGU-GGAGUGUC-AUGCCAAA-------------------------------UGCGAGU-AGCU-CA-------------------------------------------------GGC-AAAAGCA-GACAC-GUAGA-AGCAGGAA +URS0000D65D5A_12908/1-67 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CGAAAGU-AGUC---GC---------------A-------------------------GUUU--GAC-GAAAUCG-GACAC-AAGGA-AGCAGGAA +URS0000D662A6_1354301/1-63 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAUU-AGCC-UU-----------------U-------------------------------AGU-GAAAUCG-GAUAC-GUUGA-ACAGGGAA +URS0000D67AF6_12908/1-62 CCUUU-GGAGAGUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGU-AAAAUCG-GAUUC-UGCGA-AGAAGGAA +URS0000D6AAF9_12908/1-62 CCUUU-GGAGAGUC-GCAUCAAA-------------------------------CGAAAGU-AGCU--------------------AU------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D68C32_12908/1-63 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGCAAAAUACG-GAUUC-AAUGA-AGAAGGAA +URS0000D69ED3_12908/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--A-----------------C-------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D69ED3_742816/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--A-----------------C-------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6B337_12908/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GGUUC-UAUGA-AGAAGGAA +URS0000D66F09_12908/1-63 CCUUUUGGAGAGUC-AUAUCAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCA-GAUUC-UAUGA-AGAAGGAA +URS0000D6A6FF_12908/1-62 CCUUU-GGAGAGUC-AUAUCAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCA-GAUUC-UAUGA-AGAAGGAA +URS0000D6980A_12908/1-62 CCUUU-GGAGAGUC-AUAUCAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D6C38F_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D6939B_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UGUGA-AGAAGGAA +URS0000D67348_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UGUGA-AGAAGGAA +URS0000D6980B_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------UGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D657D9_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D659FA_12908/1-64 CCUUU-GGAGAGUU-AUAUCAAA------------------------------ACGAAAGU-AGCU--------------------AC------------------------------GGCAAAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D6B7BA_12908/1-62 CCUUU-GGAGAGUU-AUAUUAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D6B7BA_742816/1-62 CCUUU-GGAGAGUU-AUAUUAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D6A4AB_12908/1-62 CCUUU-GGAGAAUU-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D68059_12908/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAARGGA +URS0000D6BF2D_12908/1-62 CCUUU-GGAGAAUC-CUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6B365_12908/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AU------------------------------GGC-AAAAUCG-GAUUC-UAUGA-AGAAGGAA +URS0000D67D1E_12908/1-63 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGUUAGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6CEFA_12908/1-63 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCGGGAUUC-AAUGA-AGAAGGAA +URS0000D6B48D_12908/1-61 CCUUU-GGAGAAUC-AUAUCAA--------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6B697_12908/1-63 CCUUU-GGAGAAUC-AUAUCAAAA------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D68AD1_12908/1-63 CCUUUUGGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D66F15_12908/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AU------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6A37D_12908/1-63 CCUUUUGGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AU------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D66F15_657316/1-62 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------AU------------------------------GGC-AAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6B22C_12908/1-64 CCUUU-GGAGAAUC-CUAUCAAA-------------------------------CGAAAGU-AGCU--A-----------------AC------------------------------GGC-AAAAUCG-GAUUC-AAUGAAGUAAGGAA +URS0000D6A344_12908/1-61 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGC---------------------UACG-----------------------------GC--AAAUCG-GAUUC-AAUGA-AGAAGGGA +URS0000D6B3DB_12908/1-65 CCUUUUGGAGAAUC-AUAUCAAAA------------------------------CGAAAGU-AGC---------------------UACG-----------------------------GCAAAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6D141_12908/1-63 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGC---------------------UACG-----------------------------GCAAAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D6582B_12908/1-63 CCUUU-GGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGC---------------------UAUG-----------------------------GCAAAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D68FC0_12908/1-64 CCUUUUGGAGAAUC-AUAUCAAA-------------------------------CGAAAGU-AGC---------------------UAUG-----------------------------GCAAAAAUCG-GAUUC-AAUGA-AGAAGGAA +URS0000D68590_12908/1-62 CCUAG-GGAGAGUU-AUAGCAAA-------------------------------CGAAAGU-AGCC--------------------AC------------------------------GGC-GAAAUCG-GACUC-GCUGA-ACUAGGAA +URS0000D6C2BF_12908/1-63 CCUGU-GGAGAGUU-ACAGCAAA-------------------------------CGUGGGU-AGCUUUA-------------------------------------------------AGC-AAAAACG-GAUUC-GAUGA-AACAGGAC +URS0000D68A04_12908/1-63 CCUGU-GGAGAAUC-ACAGCAAA-------------------------------CGUUAGU-AGCUUUA-------------------------------------------------AGC-AAAAACG-GAUUC-GAUGA-AGCAGGAA +URS0000D6B262_12908/1-63 CCUGU-GGAGAAUC-ACAGCAAA-------------------------------CGUUAGU-AGCUUUA-------------------------------------------------UGC-AAAAACG-GAUUC-GAUGA-AGCAGGAA +URS0000D6917B_1134784/1-67 CCUGC-GGAGUGUU-AUAGCAAA-------------------------------CGAGAGU-AGCG--AGC---------------AA------------------------GU----AGC-AAAAUCG-GGCAC-GUAGA-AACAGGAA +URS0000D6917B_1169289/1-67 CCUGC-GGAGUGUU-AUAGCAAA-------------------------------CGAGAGU-AGCG--AGC---------------AA------------------------GU----AGC-AAAAUCG-GGCAC-GUAGA-AACAGGAA +URS0000D69632_888064/1-67 CCUGU-GGAAUGUU-AUAGCAAA-------------------------------CGAGAGU-AGCG--AGC---------------AA------------------------GU----GGC-AAAAUCG-GACAC-GUAGA-AACAGGAA +URS0000D659B2_12908/1-67 CCUGC-GGAGUGUU-AUAGCAAA-------------------------------CGAGAGU-AGCG--AAC---------------AA------------------------GU----UGC-AAAAUCG-GACAC-GUAGA-AACAGGAA +URS0000D6B543_1121865/1-67 CCUGC-GGAGUGUU-AAAGCAAA-------------------------------CGAGAGU-AGCG--AGC---------------AA------------------------GU----GGC-AAAAUCG-GACAC-GUAGA-AACAGGAA +URS0000D6A46F_749518/1-67 CCUGC-GGAGUGUU-AAAACAAA-------------------------------CGAGAGU-AGCG--AGC---------------AA------------------------GU----GGC-AAAAUCG-GACAC-GUAGA-AACAGAAA +URS0000D6972D_1072576/1-67 CCUGU-GGAGUGUU-AGAACAAA-------------------------------CGAGAGU-AGCG--A-----------------GCAAUG--------------------------GGC-AAAAUCG-GGCAC-GUAGA-AACAGGAA +URS0000D6B200_1072576/1-67 CCUGU-GGAGUGUU-AGAACAAA-------------------------------CGAGAGU-AGCG--A-----------------GGAAGU--------------------------GGC-AAAAUCG-GACAC-GUAGA-AACAGGAA +URS0000D6AB30_1157417/1-67 CCUGC-GGAGUGUU-AGAGCAAA-------------------------------CGAGAGU-AGCG--A-----------------GGAAGU--------------------------GGC-AAAAUCG-GACAC-GUAGA-AACAGGAA +URS0000D69D68_12908/1-68 CCUGU-GGAAUGUU-AUAGCAAA-------------------------------CGAGAGU-AGCG--A-----------------GCAAGU--------------------------GGC-AAAAUCGGAACAC-GUAGA-AACAGGAA +URS0000D6A4B4_1297581/1-62 CCUUC-GGAGCGCC-AUAUCAAA-------------------------------CGAGAGU-AGCU-UU-------------------------------------------------GGC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D680A5_265546/1-61 CCUUC-GGAGUGUC-AAACAAA--------------------------------CGAGAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GACAC-GAUGA-ACAAGGAA +URS0000D67670_1921421/1-61 UCUUC-GGAGCGUC-AACGAAA--------------------------------CGAGAGU-AGCU-UC-------------------------------------------------GGC-GAAAUCG-GACGC-GAUGA-GCAAGGAA +URS0000D66F7F_1921421/1-61 CCUUC-GGAGCGUC-AAUCAAA--------------------------------CGAGAGU-AGCU-UC-------------------------------------------------GGC-GAAAUCG-GACGC-GAUGA-ACAAGGAA +URS0000D66A01_1337888/1-61 CCUUC-GGAGCGUC-AACCAAA--------------------------------CGAGAGU-AGCU-UC-------------------------------------------------GGC-GAAAUCG-GACGC-GAUGA-ACAAGGAA +URS0000D67B8F_1315967/1-61 CCUUC-GGAGCGCC-AAGGAAA--------------------------------CGAGAGU-AGCU--------------------UC------------------------------GGC-AAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D67B8F_491915/1-61 CCUUC-GGAGCGCC-AAGGAAA--------------------------------CGAGAGU-AGCU--------------------UC------------------------------GGC-AAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D69C7B_1315967/1-61 CCUUC-GGAGCGCC-AAAGAAA--------------------------------CGAGAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D6953D_265546/1-61 CCUUC-GGAGCGCC-AAACAAA--------------------------------CGAGAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D66A3D_491915/1-62 CCUUC-GGAGCGUC-AAAGAAA--------------------------------CGAGAGU-AGC---------------------UUUUC----------------------------GC-GAAAUCG-GGCGC-GAUGA-AAAAGGAA +URS0000D684E2_491915/1-62 CCUUC-GGAGCGUC-AAAGAAA--------------------------------CGAGAGU-AGC---------------------UUUUC----------------------------GC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D689B9_491915/1-62 CCUUC-GGAGCGCC-AAAGAAA--------------------------------CGAGAGU-AGC---------------------UUUUC----------------------------GC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D6D055_491915/1-62 CCUUC-GGAGCGCC-AAAGAAA--------------------------------CGAGAGU-AGCG-U------------------UU------------------------------CGC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D6CCD5_491915/1-62 CCUUC-GGAGCGUC-AAGGAAA--------------------------------CGAGAGU-AGCG-U------------------UU------------------------------CGC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D6B960_491915/1-62 ACUUC-GGAGCGUC-AAAGAAA--------------------------------CGAGAGU-AGCU-U------------------UU------------------------------CGC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D65B40_1315967/1-62 CCUUC-GGAGCGCC-AAGGAAA--------------------------------CGAGAGU-AGCU-UU-----------------U-------------------------------CGC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D69B75_1315967/1-62 ACUUC-GGAGCGCC-AAAGAAA--------------------------------CGAGAGU-AGCGGUU-------------------------------------------------CGC-GAAAUCG-GGCGC-GAUGA-ACAAGGAA +URS0000D6CD8A_1212546/1-62 CCUCU-GGAGUGCU-AUACCAAA-------------------------------CGAGAGU-AGCU-UU-------------------------------------------------GGC-GAAAUCG-GGCAC-GAUGA-ACAAGGAA +URS0000D6C33B_1408254/1-62 CCUGU-GGAGUGUC-AUACCAAA-------------------------------CGCAAGU-AGCC-CA-------------------------------------------------GGC-AAAAGCG-GGCAC-GUCGA-AGCAGGAA +URS0000D6BBB9_1128398/1-72 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUA--GGUU--------------CUUA--------------------GAAC----UAU-AAAAUCG-GACAU-AAUGA-ACAGGGAA +URS0000D6572F_1128398/1-72 CCCUU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUA-UGUU---------------CUUAG--------------------AAC----UAC-AAAAUCG-GACAU-AAUGA-ACAGGGAA +URS0000D6B40A_1128398/1-72 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGU--AAGUUC-------------UUA---------------------GAACA----AC-AAAAUCG-GACAU-AAUGA-ACAGGGAA +URS0000D66AB1_12908/1-62 CCUGU-GGAGAGUU-ACAGCAAA-------------------------------CGUGAGU-AGCG--------------------AA------------------------------GGC-GAAAACG-GACUC-GCUGA-AGCAGGAA +URS0000D6BE4F_12908/1-62 CCUGU-GGAGAGUU-ACAGCAAA-------------------------------CGUGAGU-AGCG--------------------AA------------------------------GGC-AAAAGCG-GACGC-GGCGA-AGCAGGAA +URS0000D6CAC4_12908/1-62 CCUGU-GGAGAUUU-ACAGCAAA-------------------------------CGUUAGU-AGCU-AA-------------------------------------------------GGC-AAAAGCG-GAAUC-AAUGA-AGCAGGAA +URS0000D69B16_12908/1-74 CCUGU-GGAGCGUU-ACAUCAAA-------------------------------CGCGAGU-AGCC-AUCG---------------AGCUUGCU------------------CG----GGC-AAAAACG-GACGC-AAUGA-AGCAGGAA +URS0000D6C0EE_12908/1-65 CCUGU-GGAGCGUC-AUAAAAAA-------------------------------CGCAAGU-AGUG-U--C-----------------------------------------GA----CAA-AAAGUCG-GACGC-GCUGAAAGCAGGAA +URS0000D692EB_12908/1-62 CCUGU-GGAGCGUU-ACAUCAAA-------------------------------CGUUAGU-AGCU--------------------CC------------------------------GGC-AAAAGCG-GACGC-GGCGA-AGCAGGAA +URS0000D66DCA_12908/1-62 CCUGU-GGAGCGUC-AUAUCAAA-------------------------------CGCGAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCG-GACGC-GACGA-AGCAGGAA +URS0000D67383_12908/1-62 CCUGU-GGAGCGUC-AUAUCAAA-------------------------------CGCGAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCG-GACGA-GACGA-AGCAGGAA +URS0000D6C3B9_12908/1-62 CCUGU-GGAGCGUC-AUAUCAAA-------------------------------CGCGAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCG-GACGC-GGCGA-AGCAGGAA +URS0000D6CFC8_12908/1-62 CCUGU-GGAGCGUC-AUAUCAAA-------------------------------CGCGAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCG-GACGC-GCCGA-AGCAGGAA +URS0000D6B37A_12908/1-63 CCUGU-GGAGCGUC-AUAAAAAA------------------------------ACGCGAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCG-GACGC-GACGA-AGUAGGAA +URS0000D6709F_12908/1-62 CCUGU-GGAGCGUC-AUACCAAA-------------------------------CGCGAGU-AGCU--------------------CC------------------------------GGC-AAAAGCG-GACGC-GACGA-AGCAGGAA +URS0000D67E79_12908/1-62 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU--------------------CC------------------------------GGC-AAAAGCG-GACGC-GACGA-AGCAGGAA +URS0000D66838_12908/1-63 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGC-AAAAGCG-GACGCGGACGA-AGCAGGAA +URS0000D676CE_12908/1-62 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGC-AAAAGCG-GACGC-AGCGA-AGCAGGAA +URS0000D697CC_12908/1-63 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGCAAAAAGCG-GACGC-AGCGA-AGCAGGAA +URS0000D6BF36_12908/1-63 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGCAAAAAGCG-GACGC-GGCGA-AGCAGGAA +URS0000D6AC64_12908/1-62 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGC-AAAAGCG-GACGC-GGCGA-AGCAGGAA +URS0000D6C295_12908/1-63 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGCAAAAGGCG-GACGC-GGCGA-AGCAGGAA +URS0000D67324_12908/1-62 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCU-AA-------------------------------------------------GGC-AAAAGCG-GAAUC-GAUGA-AGCAGGAA +URS0000D6C3B5_12908/1-61 CCUGU-GGAGCGUC-GAAAAAA--------------------------------CGCAAGU-AGCU-UC-------------------------------------------------GGC-AAAAGCG-GACGC-GACGA-AGCAGGAA +URS0000D678FE_12908/1-61 CCUGU-GGAGCGUC-AAAAAAA--------------------------------CGUGAGU-AGCC-UU-------------------------------------------------GGC-AAAAGCG-GACGU-GUUGA-AGCAGGAA +URS0000D67BAC_12908/1-62 CCUGU-GGAGCGUC-GAAAAAAA-------------------------------CGCGAGU-AGCC-UU-------------------------------------------------GGC-AAAAGCG-GACGC-GUUGA-AGCAGGAA +URS0000D674A4_12908/1-61 CCUGU-GGAGCGUC-GAAAAAA--------------------------------CGCAAGU-AGCC-UC-------------------------------------------------GGC-AAAAGCG-GACGC-GUUGA-AGCAGGAA +URS0000D67226_12908/1-62 CCUGU-GGAGCGUC-ACAGCAAA-------------------------------CGCGAGU-AGCC-UU-------------------------------------------------AGC-AAAAGCG-GACGC-GCUGA-AGCAGGAA +URS0000D68D26_12908/1-62 CCUGU-GGAGCGUC-AUAUCAAA-------------------------------CGCGAGU-AGCC-UU-------------------------------------------------GGC-AAAAGCG-GACGC-GUUGA-AGCAGGAA +URS0000D6C50C_12908/1-64 CCUGU-GGAGCGUCAUACUCAAA------------------------------CCGCGAGU-AGCC-UU-------------------------------------------------GGC-AAAAGCG-GACGC-GUUGA-AGCAGGAA +URS0000D6A38C_12908/1-60 CCUGU-GGAGCGUC-AUAAAAA--------------------------------CGCAAGU-AGAU--------------------C-------------------------------GAC-AAAAGCG-GACGC-GCUGA-AGCAGGAA +URS0000D6AAF1_12908/1-63 CCUGU-GGAGCGUC-AUAAAAAA-------------------------------CGCAAGU-AGUG-U------------------C-------------------------------GACAAAAAGCG-GACGC-GCUGA-AGCAGGAA +URS0000D6C617_12908/1-62 CCUGU-GGAGCGUC-AUAAAAAA-------------------------------CGCAAGU-AGUA-UU-------------------------------------------------GAC-AAAAGCG-GACGC-GCUGA-AGCAGGAA +URS0000D682B1_12908/1-62 CCUGU-GGAGCGUC-AUAAAAAA-------------------------------CGCAAGU-AGUA-U------------------C-------------------------------GAC-AAAAGCG-GACGC-GCUGA-AGCAGGAA +URS0000D69189_12908/1-61 CCUGU-GGAG-GUC-AUAAAAAA-------------------------------CGCAAGU-AGUA-U------------------C-------------------------------GAC-AAAAGCG-GACGC-GCUGA-AGCAGGAA +URS0000D6ABC1_12908/1-62 CCUGU-GGAGCGUC-AUAAAAAA-------------------------------CGCAAGU-AGUU-UC-------------------------------------------------GAC-AAAAGCG-GACGC-GGCGA-AGCAGGAA +URS0000D6AB53_1354301/1-73 CUCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAUU-AGUA-UAUU---------------CUUUUG--------------------AAU---UAC-AAAAUCG-GACAC-GUUGA-ACAGGGAA +URS0000D69040_1262449/1-74 CCCUU-GGAGUGUC-AUAUCAAA-------------------------------CGAAAGU-AGUG-UAUU---------------CUUUUAG-------------------AAU---UAC-AAAAUCG-GACAC-AUUGA-ACGGGGAA +URS0000D6BADF_1345695/1-72 CCCUU-GGAGUGUU-AUAUAAAA-------------------------------CGAAAGU-AGUA-UGUU---------------UUUAG---------------------AAU---UAC-AAAAUCG-GACAC-AUUGA-ACGGGGAA +URS0000D66F7E_536227/1-74 CCCUU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGUA-UAUUC--------------UUUUA--------------------GAAU---UAC-AAAAUCG-GACAC-AUUGA-ACAGGGAA +URS0000D65EBD_12908/1-62 CCUGU-GGAGUGUU-AUAGCAAA-------------------------------CGAAAGU-AGCC--------------------GC------------------------------GGC-GAAAUCG-GACAC-GCUGA-AGCAGGAA +URS0000D6A578_12908/1-62 CCUGU-GGAGUGUC-AUAACAAA-------------------------------CGCAAGU-AGCU--------------------UC------------------------------GGC-CAAAGCG-GACAC-AAUGA-AUCAGGAA +URS0000D6CCC6_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UA-------------------------------------------------GGC-AAAAUCG-GACUU-GUAGA-AGAAGGAA +URS0000D686E2_12908/1-62 CCUUU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGCC--------------------AU------------------------------GGC-AAAAUCG-GACUU-GUAGA-AGAAGGAA +URS0000D6B323_12908/1-64 CCUGU-GGAGCGUU-ACACCAAA-------------------------------CGUGAGUUAGCUUUA-------------------------------------------------GGC-AAAAGCG-GACGC-GUUGA-AGCAGGAA +URS0000D69745_1236905/1-62 CCUGU-GGAGUGUU-ACACCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GACAC-GAUGA-AUCAGGAA +URS0000D6BBD9_526999/1-63 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAAU-AGCC-U------------------UA------------------------------GGC-GAAAUCG-GACAC-GAAGA-AGCAGGAA +URS0000D667B1_1053181/1-62 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UU-------------------------------------------------GGC-AAAAUCG-GACAC-GUAGA-AGCAGGAA +URS0000D6A408_1053212/1-62 CCUGU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GACAC-GUAGA-AGCAGGAA +URS0000D6597E_12908/1-61 CCUGU-GGAGUGUU-ACACCAAA-------------------------------CGCAAGU-AGCU--------------------C-------------------------------GGC-AAAAGCG-GACAC-GUUGA-AGCAGGAA +URS0000D6AEBF_12908/1-62 CCUGU-GGAGUGUU-ACACCAAA-------------------------------CGCAAGU-AGCU--------------------CA------------------------------GGC-AAAAGCG-GACAC-GUUGA-AGCAGGAA +URS0000D6885B_12908/1-62 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CGCAAGU-AGCU--------------------UC------------------------------GGC-AAAAGCG-GACAC-GAUGA-AGCAGAAA +URS0000D6941D_699184/1-62 CCCUC-GGAGUGUU-AGAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GC-GAAAUCG-GACAC-UUAGA-ACAGGGAA +URS0000D67CB6_1053184/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_1053238/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_1053243/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_526977/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_526989/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_1053191/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_1053178/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D67CB6_526974/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAGU-AGC---------------------UUCU-----------------------------GU-GAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D65C27_12908/1-70 CCUUU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU---GU---------------GUUAU---------------------AUU---UGC-UAAAUCG-GACAC-GUCGA-AAAAGGAA +URS0000D67EBC_86416/1-62 CCUUU-AGAGUGUC-AUAUCAAA-------------------------------CGAAAGU-AGCU-UA-------------------------------------------------UGC-AAAAUCG-GACAC-GUUGA-AAAAGGAA +URS0000D6AA52_12908/1-62 CCUUC-GGAGUGUC-AUACCAAA-------------------------------CGAAAGU-AGCU-UA-------------------------------------------------UGC-AAAAUCG-GACAC-GUUGA-ACAAGGAA +URS0000D6B5E6_444177/1-62 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------CCGUAGU-AGCU--------------------UU------------------------------GGC-AAGGCGG-GACUC-GUUGA-ACAGGGAA +URS0000D68ACE_526981/1-62 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------CGGUAGU-AGCU--------------------UU------------------------------GGC-AAAACCG-GACUC-GUAGA-ACAGGGAA +URS0000D68ACE_526974/1-62 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------CGGUAGU-AGCU--------------------UU------------------------------GGC-AAAACCG-GACUC-GUAGA-ACAGGGAA +URS0000D66725_1053244/1-62 CCCUU-GGAGAGUU-AUAUCAAA-------------------------------CGGUAGU-AGCU-UU-------------------------------------------------GGC-AAAACCG-GACUC-GUAGA-ACAGGGAA +URS0000D65DC0_12908/1-64 CCUUU-GGAGUGUU-AUAACAAA-------------------------------CGAAAGU-AGCU-U------------------UAU-----------------------------AGC-AAAAUCG-GACAC-GUUGA-AUAAGGAA +URS0000D6B2EC_345219/1-62 CCUUU-GGAGUGUU-AUGACAAA-------------------------------CGAAAGU-AGCU--------------------UC------------------------------GGC-AAAAUCG-GACAC-GAUGA-AGAAGGAA +URS0000D6C0D8_12908/1-62 CCCCU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCC-UA-------------------------------------------------GGC-AAAAUCG-GACAC-GAUGA-AUGGGGAA +URS0000D66F10_1053243/1-62 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGU-AAAAUCG-AACAC-GUAGA-ACAGGGAA +URS0000D66F10_1053244/1-62 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGU-AAAAUCG-AACAC-GUAGA-ACAGGGAA +URS0000D660F2_1053244/1-62 CCCUC-GGAGGGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGU-AAAAUCG-AACAC-GUAGA-ACAGGGAA +URS0000D6B01A_1053243/1-63 UCCUC-GGAGUGUUAUAAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGU-AAAAUCG-AACAC-GUAGA-ACAGGGAA +URS0000D6CFD1_1053244/1-63 UCCUC-GGAGUAUUAUAAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGU-AAAAUCG-AACAC-GUAGA-ACAGGGAA +URS0000D68758_1053233/1-62 CCCUC-GGAGUGUU-ACAUCAAA-------------------------------CGAAAAU-AGCU-UU-------------------------------------------------GGU-AAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D6B6F5_1053196/1-62 CCCUU-GGAGUGUU-AUGUCAAA-------------------------------CGAAAGU-AGCU--------------------UC------------------------------GGC-AAAAUCG-GACAC-GUAGA-GUAGGGAA +URS0000D6AD56_526975/1-62 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU--------------------UC------------------------------GGC-AAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D6C833_1053221/1-62 CCCUC-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UU-------------------------------------------------GGC-CAAAUCG-GACAC-GUAGA-ACAGGGAA +URS0000D68AFF_545243/1-62 CCCUA-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGC---------------------UCAU-----------------------------GC-AAAAUCG-GACAC-GUUGA-ACAGGGAA +URS0000D68503_1262449/1-62 CCCUU-GGAGUGUU-AUAUCAAA-------------------------------CGAAAGU-AGCU-UC-------------------------------------------------GGC-AAAAUCG-GACAC-GUUGA-AUAGGGAA +URS0000D6C359_12908/1-64 CCCUA-GGAGUGUU-AUAACAAA-------------------------------CGAAAGU-AGCU---AU-----------------------------------------AU----AGC-AAAAUCG-GACAC-GUUGA-ACAGGGAA +URS0000D660E7_12908/1-62 CCUGU-GGAGCGUU-ACACCAAA-------------------------------UGCAAGU-AGCU--A-----------------C-------------------------------GGC-AAACGCA-GACGC-UUUGA-AACAGGAA +URS0000D679A6_12908/1-100 CCUUU-GGAGUGUC-AUAUCAAA-------------------------------CGAAAGU-AGCCAUGCC---UA-GCAUCCUUUGAAAG------AAAGGAUGUAUAAAUGGUA--AAC-CAAAUCG-GACAC-GAUGA-AUAAGGAA +URS0000D6B769_12908/1-63 CCCUC-AGAGUGUU-AUAAGAAA-------------------------------CCAAAGU-AGCU-U------------------UU------------------------------AGC-AAAAUGG-GACAC-GUUGA-ACAGGGAA +URS0000D6B73A_12908/1-63 CCCUC-GGACUGCU-AUAUCAAA-------------------------------CCAAAGU-AGCU-U------------------UA------------------------------AGC-AAAAUGG-AGUAG-GUUGA-ACAGGGAA +URS0000D6A7E6_12908/1-64 CCCUC-GGACUAUU-AUAUCAAA-------------------------------CCAAAGU-AGCU-UU-----------------AU------------------------------AGC-AAAAUGG-GAUAG-GUUGA-ACAGGGAA +URS0000D657ED_12908/1-78 CCUGU-GGAUCGUC-AUACAAG--------------------------------CGAAAGU-AGUC-UAAA---------GACG--AAUG---------CGUC---------UUU---GAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D67CF1_12908/1-86 CCUUU-GGAGCGUU-AUACCAAA-------------------------------CGAGAGU-AGUU-UUGUGAACGAGC-------GUAA--------------GUGAGUGAAC----AGC-AAAAUCG-GACGC-GAUGA-AUUAGGAA +URS0000D6B19B_12908/1-81 CCUGU-GGAUCGUU-ACAUAAA--------------------------------CGAAAGU-AGUU-GAAACG--AAA--------ACAU---------------UUUU--GUUUU--AAC-AAAAUCG-GACGG-GAUGA-AACAGGAA +URS0000D6AB9E_12908/1-61 CUUGU-GGAGAGUU-GUACAAA--------------------------------CGAAAGU-AGUU--A-----------------A-------------------------------GAC-GAAAUCG-AACUC-GUUGA-AUCAAGAA +URS0000D69C02_12908/1-62 CUUGU-GGAGAGUU-AUACAAA--------------------------------CGAAAGU-AGUU--A-----------------A-------------------------------GAC-GAAAUCG-AACUCGUUUGA-AACAAGAA +URS0000D6CD1D_12908/1-62 CUUGU-GGAGAGUU-AUACAAA--------------------------------CGAAAGU-AGUU--A-----------------A-------------------------------GAC-GAAAUCG-AACUCGUUUGA-AGCAAGAA +URS0000D66EB7_12908/1-61 CUUGU-GGAGAGUU-AUACAAA--------------------------------CGAAAGU-AGUU--A-----------------A-------------------------------GAC-GAAAUCG-AACUC-GUUGA-AGCAAGAA +URS0000D6B88C_12908/1-62 CUUGU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGUC-C------------------A-------------------------------GAC-GAAAUCG-GAUUC-GUUGA-AGCAAGAA +URS0000D6CA61_12908/1-62 CUUGU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGUU--------------------CA------------------------------GAC-GAAAUCG-GACUC-GUUGA-AACAAGAA +URS0000D6A676_12908/1-78 CCUGU-GGAUCGUU-AUACAAA--------------------------------CGAGAGU-AGUC-UAAA---GACG--------AAUA---------------UGUC---UUU---AAU-AAAAUCG-GACGG-GAUGA-AAUAGGAA +URS0000D6C8F1_12908/1-78 CCUGU-GGAUCGUC-AUACAAG--------------------------------CGAAAGU-AGUC-UAAA---GACG--------AAUG---------------CGUCUUU------GAC-AAAAUCG-GACGG-GAUGA-AACAGGAA +URS0000D675F7_12908/1-78 CCUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AAUC-UAAA---GAUG--------AAUA---------------CAUC---UUU---GAU-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D6CEF3_12908/1-78 CCUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUC-UAAA---GACG--------AAUG---------------CGUCUUU------GAU-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D6AC8C_12908/1-78 CCUGU-GGAUCGUU-ACACAAA--------------------------------CGAAAGU-AGUC-UAAA---GACG--------AAUA---------------CGUC---UUU---UAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D65866_12908/1-78 CCUGU-GGAUCGUU-ACACAAA--------------------------------CGAAAGU-AGUC-UAAA---GGCG--------AAUA---------------CGUCU---UU---GAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D6622E_12908/1-78 CCUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUC-UAAA---GACG--------AAUA---------------CGUCU---UU---GAU-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D69A5D_12908/1-79 CCUGU-GGACCGUU-ACACAAA--------------------------------CGAAAGU-AGUC-UAAAGGCG-----------AAUA------------------CGUUUUUU--GAC-AAAAUCG-GAUGG-GAUGA-AGCAGGAA +URS0000D6A491_12908/1-96 CCUGU-GGAUCGUU-ACAUAAA--------------------------------CGAAAGU-AGUUUUAACGAAGAUAUUUG----AGUCU----------CAAAUAUUGACGUU-UUAAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D6C99E_12908/1-98 CCUGU-GGAUCGUU-ACAUAAA--------------------------------CGAAAGU-AGUU-UUAAACGUUAAUAUUUG--AGUCU--------CAAAUAUUAACGUUUUU--AAC-AAAAUUG-GACGG-GAUGA-AGCAGGAA +URS0000D698CF_12908/1-98 CCUGU-GGAUCGUU-ACAUAAA--------------------------------CGAAAGU-AGUU-UUAAACGAAGAUAUUUG--AGUCU--------CAAGUAUUAACGUUUUU--AAC-AAAAUCG-AACGG-AAUGA-AGCAGGAA +URS0000D6994E_12908/1-98 CCUGU-GGAUCGUU-AUAUAAA--------------------------------CGAAAGU-AGUU-CUAAACGAAGAUAUUUG--AGUCU--------CAAAUAUUAACGUUUUU--AAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D6A86C_12908/1-96 CCUGU-GGAUCGUU-ACAUAAA--------------------------------CGAAAGU-AGUU--UUAACGAAUAUGUUUG--AGUCU--------CAAAUAUCAACGUUAA---AAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D678A5_12908/1-81 CCUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUU---GG-AAUGAA--------AAUAUA-------------UUCAUU-UU----AAC-AAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D66CF6_12908/1-64 CCUGU-GGAUCGUU-AUAUAAA--------------------------------CGAAAGU-AGUU-U------------------UUUA----------------------------AAC-GAAAUCG-GACGG-GAUGA-AGCAGGAA +URS0000D6939D_12908/1-64 CCUGU-GGACCGUU-AUACAAA--------------------------------CGAAAGU-AGUU-U------------------UUUA----------------------------AAC-GAAAUUG-GAUGG-GAUGA-AGCAGGAA +URS0000D66902_12908/1-63 CCUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUU-UU-----------------UU------------------------------AAC-AAAAUCG-GACGG-GAUGA-AGUAGGAA +URS0000D6B576_12908/1-98 CCUGU-GGAUCGUU-ACAUAAA--------------------------------CGAAAGU-AGUU-UUAAAUGAAGAUAUUU---AAAUCCC-------AAAUAUUGACAUUUUU--AAC-AAAAUCG-AACGG-GAUGA-AGCAGGAA +URS0000D699B2_12908/1-77 CUUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUU-UGAAAU--A----------GAUU-----------------U--AUUUCU--AAC-GAAAUCG-GACGA-GAUGA-AGCAAGAA +URS0000D66F3E_12908/1-77 CUUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUU-UGAAA--------------UACAUUUA-----------------UUUCU--GAC-GAAAUCG-GACGA-GAUGA-AGCAAGAA +URS0000D66F6E_12908/1-77 CUUGU-GGAUCGUU-AUACAAA--------------------------------CGAAAGU-AGUU-UGAAAUA------------AACC-------------------UAUUUCU--GAC-GAAAUCG-GACGG-GAUGA-AGCAAGAA +URS0000D69501_1262780/1-74 CCCUU-GGAGAGUU-AUAUCAAA-------------------------------CGAAAGU-AGAU-UGCU---------------AUAUAU--------------------AGUU--UUC-AAAAUCG-CACUC-GUGGA-ACAGGGAA +URS0000D669EF_445334/1-74 CCCUU-GGAGAGUU-GUAAGAAA-------------------------------UGAAAGU-AGAU-UACU---------------CGGUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D669EF_195102/1-74 CCCUU-GGAGAGUU-GUAAGAAA-------------------------------UGAAAGU-AGAU-UACU---------------CGGUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D66B0F_445334/1-74 CCCUC-GGAGAGUU-AUACCAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUC--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D67C61_742739/1-74 CCCUC-GGAGAGUU-AUACCAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUU--UUC-AAAAUCG-GACUC-GUAGA-ACAGGGAA +URS0000D66044_195102/1-74 CCCUC-UGAAAGUU-AUAUAAAA-------------------------------GGAAAGU-AGAA-UCCU---------------AUUUAU--------------------AGUU--UUC-AAGAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D661A1_451755/1-74 CCCUU-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UACU---------------AUUCAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D6CCAC_12908/1-75 CCCUCUGGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UACU---------------AUUCAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D657F0_289380/1-74 CCCUC-UGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UACU---------------AUUCAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D6C075_445334/1-74 CCCUC-UGAGAGUU-AUAUAAAA-------------------------------GGAAAGU-AGAA-UCCU---------------AUUUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D6A9A2_195102/1-74 CCCUC-UGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UCCU---------------AUUUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D68A1F_195102/1-74 CCCUC-UGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UCCU---------------AUUCAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D68A1F_451755/1-74 CCCUC-UGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UCCU---------------AUUCAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D68A1F_289380/1-74 CCCUC-UGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAA-UCCU---------------AUUCAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D697D7_742739/1-74 CCCUC-GGAGAGUU-AUAAGAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D6BEE6_451757/1-74 CCCUU-GGAGAGUU-AUAUCAAA-------------------------------UGAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D6C02C_289380/1-74 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-AAAGGGAA +URS0000D6CBC4_445334/1-74 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUUAU--------------------AGUU--UUC-AAAAUCU-GACUC-GUAGA-ACAGGGAA +URS0000D69AE9_445334/1-73 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUAU---------------------AGUU--UUC-AAAAUCG-GACUC-GUAGA-ACAGGGAA +URS0000D69AE9_289380/1-73 CCCUC-GGAGAGUU-AUAUCAAA-------------------------------GGAAAGU-AGAU-UACU---------------AUUAU---------------------AGUU--UUC-AAAAUCG-GACUC-GUAGA-ACAGGGAA +URS0000D6818E_289380/1-73 CCAUC-GAAGAGUU-GUAUCAAA-------------------------------GGAAAUU-AGAU-UACU---------------AUUAU---------------------AGUU--UUC-AAAAUCG-GACUC-GUAGA-ACAGGGAA +URS0000D68E59_12908/1-72 CCUAU-GGAGUGAU-ACAUCAAA-------------------------------CUAAAGU-AGCU-UAUG---------------UUUAU---------------------CAU---AGC-AAAAUAG-GUCAC-GUUGA-AAUAGGAA +URS0000D6967E_1262780/1-72 CCUUU-GGAGUGUC-AUAUCAAA-------------------------------CUAAAGU-AGUC-UAUG---------------UUUAU---------------------CAA---GAC-AAAAUAG-GACAC-GUUGA-AUAAGGAA +URS0000D6967E_1262787/1-72 CCUUU-GGAGUGUC-AUAUCAAA-------------------------------CUAAAGU-AGUC-UAUG---------------UUUAU---------------------CAA---GAC-AAAAUAG-GACAC-GUUGA-AUAAGGAA +URS0000D6784B_12908/1-72 CCUUU-GGAGUGAU-AUAUCAAA-------------------------------CUAAAGU-AGUC-UAUG---------------UUUAU---------------------CAA---GAC-AAAAUAG-GUCAC-GUUGA-AAAAGGAA +URS0000D6A9CF_12908/1-71 CCUUU-GGAGUGUU-AUACAAA--------------------------------CUAAAGU-AGUC-UAUG---------------UUUAU---------------------CAA---GAC-AAAAUAG-GACAC-AUUGA-AUAAGGAA +URS0000D667C3_12908/1-61 CUUGC-GGAGAGUU-AUAUAAA--------------------------------CGAAAGU-AGCU--------------------AA------------------------------GGC-GAAAUCG-GACUC-AAAGA-AACAAGAA +URS0000D67737_12908/1-61 CUUGC-GGAGAGUU-AUAUAAA--------------------------------CGAAAAU-AGCU-U------------------AU-------------------------------GU-GAAAUCG-GACUC-GAAGA-AACAAGAA +URS0000D6B5E8_12908/1-61 CUUGC-GGAGAGUU-AUAUAAA--------------------------------CGAAAGU-AGCU-U------------------A-------------------------------UGC-AAAAUCG-GACUC-GAAGA-AACAAGAA +URS0000D6D2C0_12908/1-61 GCUGU-GGAGCGUU-ACACAAA--------------------------------CCGGAGU-AGCU-U------------------C-------------------------------GGC-AAAACGG-GACGC-UGUGA-AGCAGUAA +URS0000D65FBE_12908/1-62 UCUGU-GGAGUGCC-ACAUCAAA-------------------------------CUGGAGU-AGCU--------------------AC------------------------------GGC-UAAACAG-GGUAC-GAUGA-AGCAGAAA +URS0000D6B3FB_12908/1-62 UCUGU-GGAGUGUC-ACAUCAAA-------------------------------CUGCGGU-AGUU--------------------UC------------------------------GAC-GAAACAG-GACAC-GAAGA-AGCAGAAA +URS0000D683C2_12908/1-62 UCUGU-GGAGUGUC-GUAUCAAA-------------------------------CUGCGGU-AGUU--------------------UC------------------------------GAC-GAAACAG-GACAC-GAUGA-AGCAGAAA +URS0000D6D16A_12908/1-62 UCUGU-GGAGUGCC-ACAUCAAA-------------------------------CUGCGGU-AGUU-U------------------C-------------------------------GAC-GAAACAG-GGCAC-GAUGA-AGCAGAAA +URS0000D6642A_12908/1-62 UCUGU-GGAGUGUC-ACAUCAAA-------------------------------CUGUGGU-AGUU-U------------------C-------------------------------GAC-GAAACAG-GGCAC-GAAGA-AGCAGAAA +URS0000D66C74_12908/1-62 UCUGU-GGAGUGUC-ACAUCAAA-------------------------------CUGCGGU-AGUU-U------------------C-------------------------------GAC-GAAACAG-GGCAC-GAAGA-AGCAGAAA +URS0000D682D9_12908/1-62 UCUGU-GGAGUGCU-ACAUCAAA-------------------------------CUGCGGU-AGUU-U------------------C-------------------------------GAC-AAAACAG-GGCAC-GAAGA-AGCAGAAA +URS0000D69BDE_12908/1-62 UCUGU-GGAGUGUU-ACAUCAAA-------------------------------CUGCGGU-AGUU-U------------------C-------------------------------GAC-AAAACAG-GGCAC-GAAGA-AGCAGAAA +URS0000D65861_12908/1-62 UCUGU-GGAGUGUC-ACAUCAAA-------------------------------CUGAAGU-AGUU-U------------------C-------------------------------GAC-GAAACAG-GACAC-GAUGA-AACAGAAA +URS0000D691E0_12908/1-61 UCUGU-GGAGCGUU-ACAUCAAA-------------------------------CCGAAGU-AGCU--------------------C-------------------------------GGC-AAAACGG-GACGC-GAUGA-AGCAGAAA +URS0000D6AEBD_12908/1-62 UCUGU-GGAGCGUU-ACAUCAAA-------------------------------CCGAAGU-AGCU--------------------UC------------------------------GGC-GAAACGG-GACGC-GAUGA-AGCAGAAA +URS0000D6ACAA_12908/1-62 UCUGU-GGAGCGUU-ACAUCAAA-------------------------------CCGAAGU-AGCU--------------------UC------------------------------GGC-AAAACGG-GACGC-GAUGA-AGCAGAAA +URS0000D68DC9_12908/1-62 UCUGU-GGAGUGUU-ACAUCAAA-------------------------------CUGAAGU-AGCU--------------------UC------------------------------GGC-AAAACAG-GGCAC-GAAGA-AGCAGAAA +URS0000D6C9CD_12908/1-62 UCUGU-GGAGUGUU-AUAUCAAA-------------------------------CUGAAGU-AGCC-U------------------U-------------------------------GGC-AAAACAG-GACAC-GAUGA-AGCAGAAA +URS0000D6CEC2_12908/1-85 UCUGU-GGAUCGUU-ACAGCAAA-------------------------------UGAGAGU-AGCU--AGUGAUAUUG--------GGUAUU-------------UGGUGUCAU----GGU-AAAAUCA-GACGG-GAGGA-AGCAGAAA +URS0000D67007_12908/1-85 UCUGU-GGAUCGUU-AUAUCAAA-------------------------------UGAGAGU-AGCU-AGUGAUAUUGA--------GUAU---------------UUGGUAUUAG---GGC-AAAAUCA-GACGG-AAGGA-AGCAGAAA +URS0000D679CA_12908/1-85 UCUGU-GGAUCGUU-AUAUUAAA-------------------------------UGAAAGU-AGUU---AGUAACAAU--------GAGUA--------------AUUGUUGUUAG--AAC-GAAAUCA-GACGG-GGUGA-AGCAGAAA +URS0000D665F8_12908/1-85 UCUGU-GGAUCGUU-AUAUCAAA-------------------------------UGAAAGU-AGUU---AGUAACAAU--------GAGUG--------------AUUGUUGUUAG--AAC-GAAAUCA-GACGG-AAUGA-AGCAGAAA +URS0000D6C1B4_12908/1-85 UCUGU-GGAUCGUU-AUAGCAAA-------------------------------UGAGAGU-AGUU-AGUG-AUAUU---------CAGUAUUU------------GGUGU-CAU---GAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D67BEA_12908/1-81 UCUGU-GAAUCGUU-ACAUCAAA-------------------------------UGAAAGU-AGUU--UGUAAUA-----------CAAAGUGA-----------UA---UUAC----GAC-AAAAUCA-GACGG-GAUGA-AACAGAAA +URS0000D6A9E9_12908/1-85 UCUGU-GAAUCGUU-ACAUCAAA-------------------------------UGAAAGU-AGUU--CGUAAUAAUGA-------GAAA--------------UCUAAGUUAC----AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6A100_12908/1-85 AUUGU-GAAUCGUU-ACAUCAAA-------------------------------UGAAAGU-AGUU--AGUAAUGAUGA-------GAAA--------------UCAAAGUUAC----AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D65B3B_12908/1-77 UCUGU-GGAUCGUC-AUAUCAAA-------------------------------UGAAAGU-AGUUGUAGAC--------------AGUAAU-------------------GUCAU--AAC-AAAAUCA-GACGG-GAUGA-AACAGAAA +URS0000D6AC5A_12908/1-77 UCUGU-GGAUCGUC-ACAUCAAA-------------------------------UGAGAGU-AGUUGUUGA---------------UAGUAAUA------------------UCAC--AAC-AAAAUCA-GACGG-GAUGA-AACAGAAA +URS0000D683AD_12908/1-83 UCUGU-GGAUCGUU-ACAUCAAA-------------------------------UGAGAGU-AGUU--GGUAGCAGAG--------AGAUCAA------------C---GUUAC----AAC-CAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D66479_12908/1-79 UCUGU-GAAUCGUC-AUA--AAA-------------------------------UGAAAGU-AGUU--AGUAAUG-----------CAAAGUGA--------------UAUUGC----AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6A689_12908/1-71 UCUGU-GGAUCGUU-AUAUCAAA-------------------------------UGAGAGU-AGUU--AGU---------------AAUAUU--------------------AC----AAC-AAAAUCA-GACGG-AAUGA-AGCAGAAA +URS0000D6CE5E_12908/1-82 UCUGU-GGAUCGUU-ACAUCAAA-------------------------------UGAAAGU-AGUU--AGUAACAUU---------GAGUA---------------AACGUUAC----AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6D364_12908/1-66 UCUGU-GGAUCGUC-AUAUCAAA-------------------------------UGAGAGU-AGUU--AU----------------UAAC----------------------------AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6794F_12908/1-66 UCUGU-GGAUCGUC-AUAUUAAA-------------------------------UGAGAGU-AGUU--A-----------------UCAA-------------------------U--AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6B1BD_12908/1-66 UCUGU-GGAUCGUU-AUAUCAAA-------------------------------UGAGAGU-AGUU--A-----------------GCAAC---------------------------AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D68C52_12908/1-66 UCUGU-GGAUCGUC-AUAUCAAA-------------------------------UGAGAGU-AGUU--A-U---------------CA------------------------AU----AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6CCA7_12908/1-66 UCUGU-GGAUCGUC-ACAUCAAA-------------------------------UGAGAGU-AGUU--A-U---------------CA------------------------AU----AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D67985_12908/1-85 UCUGU-GGAUCGUU-ACAUCAAA-------------------------------UGAGAGU-AGUU--AGUAAUAACGG-------GUAA--------------CCAAUGUUAU----GAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6C62C_12908/1-85 UCUGU-GGAUCGUU-AUAUCAAA-------------------------------UGAGAGU-AGUU--AGUAGCAAUG--------AGCAAU-------------CAUCGUUAC----AAC-AAAAUCA-GACGG-GAUGA-AACAGAAA +URS0000D66126_12908/1-66 UCUGU-GGAUCGUC-AUAUCAAA-------------------------------UGAGAGU-AGUU--A-----------------CUAAU---------------------------AAC-AAAAUCA-CCUGG-GAUGA-AGCAGAAA +URS0000D69736_12908/1-66 UUUGU-GGAUCGUC-ACAUCAAA-------------------------------UGAGAGU-AGUU--A-----------------CUAAU---------------------------AAC-AAAAUCA-GACGG-GAUGA-AGCAGAAA +URS0000D6CD06_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAGAAUG--------AUUAUU-------------CAUUUUUGC----GAC-AAAAUCA-GACGG-GUUUA-AGCAGAAA +URS0000D6A732_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAUGAUG--------AUUAUU-------------CAUUCUUAC----GAC-AAAAUCA-GACGG-GUUGA-AACAGAAA +URS0000D6CBC6_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAUGAUG--------AUUAUU-------------CAUUCUUAC----GAC-AAAAUCA-GACGG-GUUGA-AGCAGAAA +URS0000D6AFB0_12908/1-85 UCUGU-GGAUCGUC-ACAUCAAA-------------------------------UGAAAGU-AGUC--AGUAAUGAUG--------AUUAUU-------------CAUUUUUAC----GAC-AAAAUCA-GACGG-GUUGA-AGCAGAAA +URS0000D66D3E_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAUGAUG--------AUUAUU-------------CAUUUUUAC----GAC-AAAAUCA-GACGG-GUUGA-AACAGAAA +URS0000D6A2B0_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAUGAUG--------AUUAUU-------------CAUUUUUAC----GAC-AAAAUCA-GACGG-GUUGA-AGCAGAAA +URS0000D6A2B2_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAGAAUG--------AUUAUU-------------CAUUUUUAC----GAC-AAAAUCA-GACGG-GUUGA-AGCAGAAA +URS0000D6D303_12908/1-85 UCUGU-GGAUCGUC-ACACCAAA-------------------------------UGAAAGU-AGUC--AGUAAGAAU---------AAUUAUUC------------AUUUUUAC----GAC-CAAAUCA-GACGG-GUUGA-AACAGAAA +URS0000D6880A_12908/1-85 UCUGU-GGAUCGUC-AUACCAAA-------------------------------UGAAAGU-AGUC--AGUAAGAAU---------AAUUAUUC------------AUUUUUAC----GAC-CAAAUCA-GACGG-GUUGA-AACAGAAA +URS0000D69153_12908/1-85 UCUGU-GGAUCGUC-AUACCAAA-------------------------------UGAAAGU-AGUC--AGUCAGAAU---------AAUUAUUC-----------A-UUUUUAC----GAC-CAAAUCA-GACGG-GUUGA-AACAGAAA +URS0000D68164_12908/1-76 CCUGU-GGAUCGUU-AUAUCAAA-------------------------------UGAAAGU-AGUU--AGCAA-------------UAUUAU-----------------GUUGC----AAC-AAAAUCA-GACGG-AAGGA-AGCAGGAA +URS0000D677BD_12908/1-68 CCUUU-GGAGCAUU-AUAUCAAA-------------------------------CAGGAGU-AGCU-GG-----------------UUUUAA--------------------------AGC-GAAACUG-GAUGC-GAUGA-AUUAGGAA +URS0000D688BE_12908/1-62 CCUUU-GGAGUAUU-AUAUCAAA-------------------------------CACGAGU-AGA---------------------UUUU-----------------------------UC-GAAAGUG-GAUAC-UAUGA-AUAAGGAA +URS0000D67667_12908/1-61 GCUGU-GGAGUGUC-AUACAAA--------------------------------CCUGAGU-AGCU-U------------------C-------------------------------GGC-AAAAGGG-GACAC-GAUGA-AGCAGUGA +URS0000D69164_12908/1-69 CCUCC-GGAGCGUU-ACACCAAA-------------------------------UGUUAGU-AGCC--AGU---------------AUU-----------------------ACC---GGC-AAAAGCA-GACGC-GAAGA-ACGAGGAA +URS0000D6878A_12908/1-70 CCUCU-GGAGCGUU-ACACCAAA-------------------------------UGUUAGU-AGCC--AGU---------------AUU-----------------------ACC---GGC-AAAAGCA-GACGCUAAAGA-ACGAGGAA +URS0000D6BB18_12908/1-72 CCUUC-GGAGUAUC-AUACAAA--------------------------------CGUCAGU-AGCC-UGUC-C-------------UUUG----------------------GGAC--GGC-GAGAACG-GAUAC-GAUGA-ACAAGGAA +URS0000D68EF5_12908/1-59 CCUCC-GGACUGUU-GAACGA---------------------------------CCCAAGU-AGC---------------------AUA------------------------------GC-GAAAGGG-AACAG-GAUGA-AAGAGGAA +URS0000D6C2CB_12908/1-64 CCUUU-GGAGAGCU-ACGCCAAA-------------------------------CUAGAGU-AGGU-U------------------UAU-----------------------------GCC-AAAAUAG-AGUUC-GACGA-AGAAGGAA +URS0000D6A36C_12908/1-64 CCUUU-GGAGAGCU-AUACCAAA-------------------------------CUAGAGU-AGUC-UU-----------------AU------------------------------GAC-CAAAUAG-AGUUC-UAUGA-AGAAGGAA +URS0000D6AAE0_12908/1-66 ACUGU-GGAGUAUU-AUAUCAAA-------------------------------UCAAAGU-AGUU---CU---------------AU------------------------AG----AAC-AAAAUGA-GAUAC-GAAGA-AACAGUAA +URS0000D6C256_12908/1-74 ACUGU-GGAGUAUU-AUAUCAAA-------------------------------CUAGAGU-AGAU-UACU---------------AUUUAU--------------------AGUU--UUC-AAAAUGG-GAUAC-GCUGA-AACAGUAA +URS0000D68425_12908/1-73 CCUUU-GGAGUAUC-AUAUCAAA-------------------------------UGUGAGU-AGUA-AUAG---------------AUUUC---------------------CUAU--UAU-CAAAGCA-GAUAC-GUCGA-AAAAGGAA +URS0000D6C992_527025/1-67 CCUGU-GGAGUGUC-ACAGCAAA-------------------------------CUGUAGU-AGC--AA-----------------GUGAUUA--------------------------GC-GAGGCAG-GGCAC-GUAGA-AGCAGGAA +#=GC SS_cons <<<<<.---<<<<<.--------...............................<<<----.-<<<.--<<..............._____.....................>>....>>>.---->>>.>>>>>.-----.->>>>>:: +#=GC RF cCUgu.GGAGuGUc.AuAuaAAA...............................cGagAGU.AGcu.Uauu...............auUuu.....................aa....agC.aAAAuCg.gACaC.GaUGA.AgcAGgAA +// diff --git a/raw_data/life/L020/0006-RF00644.stockholm b/raw_data/life/L020/0006-RF00644.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..b7c2b53e3cda6130113f67d69f8ed868a8b80276 --- /dev/null +++ b/raw_data/life/L020/0006-RF00644.stockholm @@ -0,0 +1,134 @@ +# STOCKHOLM 1.0 +#=GF ID mir-27 +#=GF AC RF00644 +#=GF DE microRNA mir-27 +#=GF AU Griffiths-Jones SR; 0000-0001-6043-807X +#=GF GA 48.5 +#=GF NC 48.4 +#=GF TC 48.5 +#=GF SE Griffiths-Jones SR +#=GF SS Predicted; RNAalifold +#=GF TP Gene; miRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF DR MIPF; MIPF0000036; +#=GF DR SO; 0001244; pre_miRNA; +#=GF DR GO; 0016442; RISC complex; +#=GF DR GO; 0035195; miRNA-mediated post-transcriptional gene silencing; +#=GF RN [1] +#=GF RM 17604727 +#=GF RT A mammalian microRNA expression atlas based on small RNA library +#=GF RT sequencing. +#=GF RA Landgraf P, Rusu M, Sheridan R, Sewer A, Iovino N, Aravin A, Pfeffer S, +#=GF RA Rice A, Kamphorst AO, Landthaler M, Lin C, Socci ND, Hermida L, Fulci V, +#=GF RA Chiaretti S, Foa R, Schliwka J, Fuchs U, Novosel A, Muller RU, Schermer B, +#=GF RA Bissels U, Inman J, Phan Q, Chien M, Weir DB, Choksi R, De Vita G, +#=GF RA Frezzetti D, Trompeter HI, Hornung V, Teng G, Hartmann G, Palkovits M, Di +#=GF RA Lauro R, Wernet P, Macino G, Rogler CE, Nagle JW, Ju J, Papavasiliou FN, +#=GF RA Benzing T, Lichter P, Tam W, Brownstein MJ, Bosio A, Borkhardt A, Russo +#=GF RA JJ, Sander C, Zavolan M, Tuschl T +#=GF RL Cell. 2007;129:1401-1414. +#=GF RN [2] +#=GF RM 15937218 +#=GF RT The developmental miRNA profiles of zebrafish as determined by small RNA +#=GF RT cloning. +#=GF RA Chen PY, Manninga H, Slanchev K, Chien M, Russo JJ, Ju J, Sheridan R, John +#=GF RA B, Marks DS, Gaidatzis D, Sander C, Zavolan M, Tuschl T +#=GF RL Genes Dev. 2005;19:1288-1293. +#=GF RN [3] +#=GF RM 18256158 +#=GF RT MicroRNA profile of Marek's disease virus-transformed T-cell line MSB-1: +#=GF RT predominance of virus-encoded microRNAs. +#=GF RA Yao Y, Zhao Y, Xu H, Smith LP, Lawrie CH, Watson M, Nair V +#=GF RL J Virol. 2008;82:4007-4015. +#=GF CC This family represents the microRNA (miRNA) precursor mir-27 imported from +#=GF CC miRBase. +#=GF WK miR-27 +#=GF SQ 82 + +URS0000233054_9606/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS0000233054_9593/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS0000233054_9597/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS0000233054_9598/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS0000233054_9544/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS00004BF382_9545/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCCA +URS00007E40AF_9615/1-60 ------------GGGCUUAGCUG--CUUGUGAGCAGAGUCCACACCAA-GUCGUGUUCACAGUGGCUAAGUUCCG-------- +URS000075E094_9796/1-77 CUGGGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCGA-GUCAUGUUCACAGUGGCUAAGUUCCGCCCCCCG- +URS0000D53314_29078/2-79 CUGGGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCUGCACCAAG-UCAUGUUCACAGUGGCUAAGUUCCGCCCCCCGG +URS00002DBD2B_9447/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAAAU-CAUGUUCACAGUGGCUAAGUUCCGCCCCCCGG +URS000075A3CC_10029/2-79 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAAGGUCCGCAGCAAGU-CGUGUUCACAGUGGCUAAGUUCCGCUCCCCCG +URS000075AEFF_10090/5-83 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAAGGUCCACAGCAAAGUCGUGUUCACAGUGGCUAAGUUCCGCCCCCUGG +URS000075E954_10116/5-83 CUGUGGAGCA--GGGCUUAGCUG--CUUGUGAGCAAGGUCUACAGCAAAGUCGUGUUCACAGUGGCUAAGUUCCGCCCCCUGG +URS000075EBF7_9823/5-81 CUGGGGAGCA--GGGCUUAGCUG--CUUGUGAGCA-GGUCCACAGCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCUGG +URS000075DA7A_9913/5-78 CUGGGGAGCA--GGGCUUAGCUG--CUUGUGAGCA-GGUCCACAUCAAA-UCGUGUUCACAGUGGCUAAGUUCCGCCCCC--- +URS000075BBBB_9940/5-78 CUGGGGAGCA--GGGCUUAGCUG--CUUGUGAGCA-GGUCCACAUCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCC--- +URS00007E3732_9925/5-81 CUGGGGAGCA--GGGCUUAGCUG--CUUGUGAGCA-GGUCCACAUCAA-GUCGUGUUCACAGUGGCUAAGUUCCGCCCCCCCG +URS00007E3748_246437/1-62 ---------A--GGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCGA-GUCGUGUUCACAGUGGCUAAGUUCCGU------- +URS00003A810C_9509/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUUCACUCCAA-GUCAUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS00003A810C_78454/1-78 CUGAGGAGCA--GGGCUUAGCUG--CUUGUGAGCAGGGUUCACUCCAA-GUCAUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +URS000075BBA0_9258/5-80 CGGCGGAGCA--GGGCUUAGCUGG-CCUGUGAACAGUUAGU---UCCCUG-CGUGUUCACAGUGGCUAAGUUCCGCCCCUCCA +URS000075CAB9_8364/1-76 CGGCGGCCCA--GGGCUUAGCUGU-AUUGUGAGCACUGUCACUCUCGC--ACCUGUUCACAGUGGCUAAGUUCCGCGCCUC-- +URS000075E885_7955/28-106 GUGAGGUGCA--GGACUUAGCUCACUCUGUGAACAGAUCUCGGA--UAUCCUAUGUUCACAGUGGCUAAGUUCCGCUCCUCUG +URS0000D50D92_7998/1-65 --------CA--GGACUUAGCUCACUCUGUGAACAGAUCUCGGA--UAUCCUAUGUUCACAGUGGCUAAGUUCCGCU------ +URS0000D51B8B_7962/1-75 --GAGGUGCA--GGACUUAGCUCUCUCUGUGAACAGAUCUCGGA--UAUCCUAUGUUCACAGUGGCUAAGUUCCGCUCCUC-- +URS0000D50673_8030/1-64 ---------A--GGACUUAGCCAGCUUUGUGAACA--GAUCUGUGAAAGCCCAUGUUCACAGUGGCUAAGUUCCGCU------ +URS0000D55F91_8030/1-65 --------CA--GGACUUAGCUCGCUUUGUGAACA--GAUCUGUGAAAGCCUAUGUUCACAGUGGCUAAGUUCCGCU------ +URS000075CCAC_8364/4-81 UAGAGAGGCA--GGACUUAGCUGGCUCUGUGAACA-GGUCUUGUGUGU--CAAUGUUCACAGUGGCUAAGUUCCACCCCACUG +URS000075DDB0_13616/5-83 UUGAGGAGCA--GGACUUAGCUGC-CUUGUGAACAGAGUCAGCAUCAUA-UUGUGUUCACAGUGGCUAAGUUCCGCUCCCCUU +URS000075BDAF_8090/9-87 UGGAGGUGAA--GGGCUUAGCUCGCUCCGUGAACA--GUUCAGUGAAAACUCGUGUUCACAGUGGCUAAGUUCCGCUCCUCAC +URS0000AB0776_7757/1-75 --GCAGUGCA--GGACUUAGUUG--CUUGUGAGCAGUGCCUUGCUUUCUGUCUUGUUCACAGUGGCUAAGUUCCACACCUC-- +URS000075C17A_10029/2-80 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075B194_9593/20-98 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075EFC7_9598/9-87 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075B0A5_9600/10-88 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075B0A5_9544/10-88 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075B0A5_10116/10-88 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075B0A5_9606/10-88 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS00007E3A07_246437/1-63 ---------A--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGC------- +URS000075AAE1_10090/1-73 ---AGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCU--- +URS000075AF19_9913/10-88 ACGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGACUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS00007E37D7_9925/16-94 ACGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGACUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075E684_9823/1-79 ACGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGACUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS00007E377C_9615/1-63 ---------A--GAGCUUAGCUGA-UUGGUGAACAGUGACUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGC------- +URS0000D54725_29078/4-82 CCGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGACUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075D12B_9796/1-73 ---AGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGACUGGUUUCCGC-UUUGUUCACAGUGGCUAAGUUCUGCACCU--- +URS000075D27F_7955/6-84 AGCGGGUGCA--GAGCUUGGCUGA-UUGGUGAACG-UGCAUGGCUUGUGUUUUUGUUCACAGUGGCUAAGUUCUUCACCCGAA +URS0000D4FB27_7998/1-67 -------GCA--GAGCUUGGCUGA-UUGGUGAACG-UGCAUGGCUUGUGUUUUUGUUCACAGUGGCUAAGUUCUUCAC----- +URS0000D51A15_7962/5-82 AGCGGGUGCA--GAGCUUAGCUGA-UUGGUGAACA-UGCACGCUUUGUUU-UUUGUUCACAGUGGCUAAGUUCUUCACCUGAA +URS0000759C8F_13616/10-88 ACAAGGUGCA--GAGCUUAGCCGA-UUGGUGAACAGUCACUGAUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075DE3D_9305/50-128 ACAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUAAUUGAUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075CEBF_9031/10-88 GUGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGUUUCCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075B5AC_59729/10-88 GCGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGUUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS000075CC0D_31033/1-74 ---AGGCACA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUG-- +URS000075CC0D_99883/1-74 ---AGGCACA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUG-- +URS000075B802_8364/10-88 CCAAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUUCCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS00007E48D4_28377/1-76 -UGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUA-- +URS0000D54017_8665/2-80 GUGAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUUUCCUC-UUUGUUCACAGUGGCUAAGUUCUGCACCUGAA +URS0000D55783_8030/1-63 ---------A--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUCUCCUC-UUUGUUCACAGUGGCUAAGUUCUGC------- +URS000075B7A2_7955/9-84 AGCAGGUGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAAC----UCUUUGUUCACAGUGGCUAAGUUCUGCAUCUGAG +URS0000D4F3AD_8030/1-61 ---------A--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAUCUCC---UUUGUUCACAGUGGCUAAGUUCUGC------- +URS000075ECAD_9258/21-99 UCGCGGCGCA--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGCUGGACUC-UUUGUUCACAGUGGCUAAGUUCUGCGCCCGCA +URS0000D4F491_7998/1-60 ---------A--GAGCUUAGCUGA-UUGGUGAACAGUGAUUGAAC----UCUUUGUUCACAGUGGCUAAGUUCUGC------- +URS000075C1AB_7955/13-92 UCACGGCGCA--GAGCUUAGCUAA-UCGGUGAGCAUUGAUCCCUUAAGAAAACUGUUCACAGUGGCUAAGUUCAGUGUCUGGA +URS0000D51820_7998/1-64 ---------A--GAGCUUAGCUAA-UCGGUGAGCAUUGAUCCCUUAAGAAAACUGUUCACAGUGGCUAAGUUCAGU------- +URS000075C0B0_8090/6-84 CUCAGAUGCA--GGACUUAGUUCA-UUGGUGAGCAUUGAGCCACACAGGA-AUUGUUCACAGUGGCUAAGUUCAGUACCUGAC +URS000075B2F1_31033/8-87 UAAAGGCACC--GAGCUUAGCUAA-UUGGUGAGCAUUGAUCCCUGCUAUGUGUUGUUCACAGUGGCUAAGUUCAGUGCCUGAG +URS0000A9D72C_99883/8-83 UGAAGGCACA--GAGCUUAGCUAA-UUGGUGAGCAUUGAUCCCUGCUAUGUGUUGUUCACAGUGGCUAAGUUCAGUGCC---- +URS000075C69E_8090/11-90 UAAAGGCACA--GAGCUUAGCUAA-UUGGUGAGCAUUGAUCCCUGCUGUGUGUUGUUCACAGUGGCUAAGUUCAGUGCCGGAG +URS0000D549D0_8030/1-64 ---------A--GAGCUUAGCUAA-UUGGUGAGCAUUGAUCCCUCUUAUGUGUUGUUCACAGUGGCUAAGUUCAGU------- +URS0000D5543A_8030/1-64 ---------A--GAGCUUAGCUAA-UUGGUGAGCAUUGAUCCCUCUUAUAUGUUGUUCACAGUGGCUAAGUUCAGU------- +URS0000A91A5F_7757/1-75 -UCCGGUGAA--GGGCUUAACCCA-CCUGUGAGCAGCGCUUUACGAUA---AGUGUUCACAGUGGCUAAGUUCUGCAUCUGU- +URS000075D3F6_7955/6-83 UGUGGUGUCA--GGACUUAACCCA-CUUGUGAACAAUGCAUCGAACU--UCAAUGUUCACAGUGGUUAAGUUCUGCCGCCCCU +URS0000D507CD_7998/1-60 ------------GGACUUAACCCA-CUUGUGAACAAUGCAUCGAACU--UCAAUGUUCACAGUGGUUAAGUUCUG-------- +URS0000D5440B_7962/15-92 UGUGGUGUCA--GGACUUAACCCA-CUUGUGAACACUGCAU--UGAACUUCUUUGUUCACAGUGGUUAAGUUCUGCCAUCCUG +URS0000D51F85_8030/1-62 ---------A--GGACUUAGCACA-CAUGUGAACACUGUAAGUUUACCUC-CAUGUUCACAGUGGUUAAGUUCUG-------- +URS000075C03C_31033/6-78 UGUGGCGGCA--GGACUUAACCCA-CAUGUGAGCAGUGAGUGUGU----GCCAUGUUCACAGUGGUUAAGUUCUGCCGCC--- +URS0000A9EF56_99883/6-76 UGCGGCGGCA--GGACUUAACCCA-CAUGUGAACAGUGAGUGU------GCCGUGUUCACAGUGGUUAAGUUCUGCCGCC--- +URS000075BC10_8090/16-91 UGCGGCAGCA--GGACUUAGCCCA-CAUGUGAACAGUGAGUGUAU----GCCAUGUUCACAGUGGUUAAGUUCUGCCGCCACA +URS00007E49E5_28377/1-73 ---AGCCGUA--GGGCUUAGCCCA-CCUGUGAACAGCAUUGGAUUCAG--CCAUGUUCACAGUGGCUAAGUUCCGCUGCUU-- +URS0000D4FA7E_8665/1-71 -----GGGCA--GGGCUUAGCUCA-CUUGUGAACAGCGUUUGAUUCAG--CCAUGUUCACAGUGGCUAAGUUCCGCCUCUU-- +URS0000AAA349_9600/1-80 CUGAGGAGCACGGGGCUUAGCUG--CUUGUGAGCAGGGUCCACACCAAG-UUGUGUUCACAGUGGCUAAGUUCCGCCCCCCAG +#=GC SS_cons ::::::::::..<<<<<<<<<<--.---<<<<<<<__________________>>>>>>>--->>>>>>>>>>:::::::::: +#=GC RF uugaGGuGCA..GggCUUAGCugA.uUuGUGAaCAguGauugauuuaauuuuuUGuUCACAGUgGCUAAGuuCuGCacCugaa +// diff --git a/raw_data/life/L020/0007-RF00266.stockholm b/raw_data/life/L020/0007-RF00266.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..c48cd905e79681935865141c627e45ddcb079ce9 --- /dev/null +++ b/raw_data/life/L020/0007-RF00266.stockholm @@ -0,0 +1,62 @@ +# STOCKHOLM 1.0 +#=GF ID snoZ17 +#=GF AC RF00266 +#=GF DE Small nucleolar RNA Z17 +#=GF AU Moxon SJ; 0000-0003-4644-1816 +#=GF GA 44.0 +#=GF NC 43.9 +#=GF TC 44.1 +#=GF SE http://ribosome.miyazaki-med.ac.jp/, INFERNAL +#=GF SS Predicted; PFOLD +#=GF TP Gene; snRNA; snoRNA; CD-box; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 21.00 -Z 2958934 CM SEQDB +#=GF CL CL00053 +#=GF DR GO; 0006396; RNA processing; +#=GF DR GO; 0005730; nucleolus; +#=GF DR snoopy; Mus_musculus300938; +#=GF DR snoopy; Loxodonta_africana300514; +#=GF DR SO; 0000593; C_D_box_snoRNA; +#=GF RN [1] +#=GF RM 12215523 +#=GF RT Purified box C/D snoRNPs are able to reproduce site-specific +#=GF RT 2'-O-methylation of target RNA in vitro. +#=GF RA Galardi S, Fatica A, Bachi A, Scaloni A, Presutti C, Bozzoni I +#=GF RL Mol Cell Biol 2002;22:6663-6668. +#=GF CC Z17 is a member of the C/D class of snoRNA which contain the C (UGAUGA) +#=GF CC and D (CUGA) box motifs. Most of the members of the box C/D family +#=GF CC function in directing site-specific 2'-O-methylation of substrate RNAs +#=GF CC [1]. +#=GF WK Small_nucleolar_RNA_Z17 +#=GF SQ 26 + +AJ224024.1/1-72 GGUGCAGAUGAUGAC-ACUGUAAAGCGACCAAAGUCUGAACAAAG-UGAUUGGU-ACCUCGUUGUCUGA-UGCACC +AF001689.1/2296-2367 GGUGCAGAUGAUGAC-ACUGUAAAGCGACCAAAGUCUGAACAAAG-UGAUUGGU-ACCUCGUUGUCUGA-UGCACC +AF001689.1/3399-3470 GGUGCAAAUGAUGCA-UAUGUUA-GCGACCAAAGCCUGAUCUUUGCUGAUUAGU--CAUAAUUAACUGACUGCACC +AJ224025.1/2-73 GGUGCAAAUGAUGCA-UAUGUUA-GCGACCAAAGCCUGAUCUUUGCUGAUUAGU--CAUAAUUAACUGACUGCACC +ABDC01347295.1/8749-8820 GGUGCAAAUGAUGAC-ACUGUAAAGCGACCAAAGUCUGACCAAAA-UGAUUUCU-ACCUCAUUAUCUGA-UGCACC +AANN01481002.1/718-646 GGUGCAAAUGAUGAU-UCUGUAUAGCGACCAAAGUCUGAGAAAGGCUGAUUUCU-AUCUCAUUGUCUGA-UGCACC +AANU01205354.1/3441-3512 GGUGCAGGUGAUGAC-ACUGUAAAACGACCAAAGUCUGAACAAAA-UGAUUGGU-ACCUCGUUGUCUGA-UGCCCU +AAYZ01187588.1/1075-1145 GGUGCACAUGAUGAC-AUUAUUUAGCGACCAAAGUCUGAUGAAGA-UGAUUGCA--CCUCAUUGUCUGA-UGCACC +AAPY01743681.1/8244-8314 GGUGCAAAUGAUGAC-AUUAUUCAGCGACCAAAGUCUGACAGAAA-UGAUUGCU--UCUCAAUGUCUGA-UGCACC +AALT01536072.1/657-587 GGUGCAAAUGAUGAC-ACUAUUAAGCGACCAAAGUCUGACAAAAG-UGAUUGCU--ACUCAGUGUCUGA-UGCAAC +AAQQ01709973.1/1321-1391 GGUGCAGCUGAUGAC-AGCAUUUAGCGACCAAAGUCUGAUGAAAC-UGAUUGCU--ACUUAUUGUCUGA-UGCACC +AAHY01094589.1/16207-16137 GGUGCAUGUGAUGAC-AUUAUUUAGCGACCAAAGUCUGAUAAAGA-UGAUUGUG--AUCUAUUGUCUGA-UGCACC +AAFR03044819.1/3240-3311 GGUGCAGAUGAUGAU-AUCUAUA-GCGACCAAAGUCUGAGUAAAA-UGAUAGGCAACUUCAGUGUCUGA-UGCACC +AAPN01416195.1/1477-1545 GGUGCAGAUGAUGAC-AUCACA--GCGACCAAAGCCUGAGUAAA--UGAUUGCA-ACCUCACUGGCUGA-UGCACC +AAIY01565342.1/752-821 GGUGCAAAUGAUGACAUCUAUUCAGCGACCAAAGUCUGAUCAAAA-UGAUUGCU-AUUUAGU---CUGA-UGCACU +AAGV020173148.1/4127-4193 GGUGCAAAUGCUGCA-CC-GUUA-GUGACCAAAGCCUGACUUUAGAUGAUUAGU------CUUAACUGACUGCACC +AAKN02033341.1/2087-2018 GGUGCAAAUGAUGAA-UCUGUUA-GCGACCAAAGCCUGACUUC--CUGAUUAGU--CACAACUGACUGACUGCACC +AAWR02013172.1/62940-63011 GGUGCAAAUGAUGUG-UAUGUUA-GCGACCAAAGCCUGACCUUUGCUGAUUAGG--CCUAACUGACUGACUGUACC +AAHX01064981.1/3059-2989 GGUGCAUAUGAUGAC-AUUAUUUAGCGACCAAAGUCUGAUGCAGA-UGAUUGCA--GUCUAUUGUCUGA-UGCACC +AAPE02030647.1/4780-4852 GGUGCAAAUGAUGUG-UCUUAUUAGCGACCAAAGCCUGACUUUUGCUGAUUAGU--CUUAACUGACUGACUGCACC +AAGU03065331.1/66667-66738 GGUGCAGAUGAUGCC-UCUGUUA-GUGACCAAAGCCUGAUGUUUGGUGAUGAGU--CUUAACUGACUGACUGCACC +AAEX03006669.1/8655-8726 GGUGCAGAUGAUGAC-ACUGUUUAGCGACCAAAGUCUGACAAAAA-UGAUUGCU-ACUUCAUUGUCUGA-UGCACC +AAGW02049846.1/3359-3288 GGUGCACGUGAUGAC-AUUGUUAAGCGACCAAAGUCUGAUAAAGA-UGAUUGCU-ACCUCAUGGUCUGA-UGCACC +AJ010678.1/1-71 GGUGCAUGUGAUGAC-AUUAUUUAGCGACCAAAGUCUGAUAAAGA-UGAUUGUG--AUCUAUUGUCUGA-UGCACC +EU094074.1/4-72 GGUGCAGAUGAUGAC-AUCAC--AGCGACCAAAGCCUGAGUAAA--UGAUUGCA-ACCUCACUGGCUGA-UGCACC +EU094073.1/3-71 GAUGCAAAUGAUGAA-CC---GUAGUGACCAAAGCCUGAACCUUGGUGAUGAAG--CUUGACCACGUGA-UGCAUC +#=GC SS_cons <<<<<<_________._____________________________.________.._____________.>>>>>> +#=GC RF GGUGCAaAUGAUGAc.acUgUuaAGCGACCAAAGuCUGAuuaaaa.UGAUUggu..cuUcAuUGuCUGA.UGCACC +// diff --git a/raw_data/life/L020/0008-RF00054.stockholm b/raw_data/life/L020/0008-RF00054.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..e7be244ed315779a30f78f0f08dcc557c5f564b1 --- /dev/null +++ b/raw_data/life/L020/0008-RF00054.stockholm @@ -0,0 +1,55 @@ +# STOCKHOLM 1.0 +#=GF ID SNORD25 +#=GF AC RF00054 +#=GF DE Small nucleolar RNA SNORD25 +#=GF AU Griffiths-Jones SR; 0000-0001-6043-807X +#=GF GA 39.0 +#=GF NC 38.9 +#=GF TC 39.0 +#=GF PI U25 +#=GF SE Griffiths-Jones SR +#=GF SS Predicted; PFOLD +#=GF TP Gene; snRNA; snoRNA; CD-box; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 27.09 -Z 2958934 CM SEQDB +#=GF CL CL00049 +#=GF DR SO; 0000593; C_D_box_snoRNA; +#=GF DR GO; 0006396; RNA processing; +#=GF DR GO; 0005730; nucleolus; +#=GF DR snoopy; Mus_musculus300709; +#=GF DR snoopy; Homo_sapiens300169; +#=GF RN [1] +#=GF RM 11266566 +#=GF RT Identification of 10 novel snoRNA gene clusters from Arabidopsis thaliana. +#=GF RA Qu LH, Meng Q, Zhou H, Chen YQ, Liang-Hu Q, Qing M, Hui Z, Yue-Qin C +#=GF RL Nucleic Acids Res 2001;29:1623-1630. +#=GF RN [2] +#=GF RM 8559254 +#=GF RT A mammalian gene with introns instead of exons generating stable RNA +#=GF RT products. +#=GF RA Tycowski KT, Shu MD, Steitz JA +#=GF RL Nature 1996;379:464-466. +#=GF CC U25 is a member of the C/D class of snoRNA which contain the C (UGAUGA) +#=GF CC and D (CUGA) box motifs. U25 is found in gene clusters in plants [1], and +#=GF CC within the U22 snoRNA host gene (UHG) in mammals [2]. U25 is thought to as +#=GF CC a 2'-O-ribose methylation guide for ribosomal RNA. This RNA has also been +#=GF CC named snoRNA R73 in some plants. +#=GF WK Small_nucleolar_RNA_SNORD25 +#=GF SQ 12 + +U40654.1/666-735 --CCCCUAUGAUGAGGACC-UUUUCACAGACCUGUA--------CUGAUAUAU----------CUGUGAGGAUAAGUAACUCUGAGGAGGC +U40580.1/750-817 --UUCCUAUGAUGAGGACC-UUUUCACAGACCUGUA--------CUGAGCU------------CCGUGAGGAUAAAUAACUCUGAGGAGAU +L36587.1/100-167 --UUCCUAUGAUGAGGACC-UUUUCACAGACCUGUA--------CUGAGCU------------CCGUGAGGAUAAGUAACUCUGAGGAGAU +AL662969.3/86874-86961 CAUGGCGGUCUUGAGC-CC--UAACAGACCUGAAAUAAUUAUUGCGGAUAUGAUUGCUUAAUUCAGAGCACAUCUAAGGGACUGAGUUGCC +AL662969.3/87797-87884 GGCAACAGUGAUGAGU-CC--UUACAGACCUGUAAUGAUUCUUGCGGGAAUGAUCGCUUGAUUCAAAGAACAUCUAAGGGACUGAGUUAUC +AJ276573.1/1-85 AAGAACAGUGAUGAGU-CAGUUUACAGACCUGUAAUGA---UUGCGGUAAUGAUCGCAUUA--UUAUGAACAUCUAAGGGACUGAGUUCUU +AL662969.3/87631-87717 UUUGACGGUGAUUAGC-CC--UAACAGACCUGUAAUGAUUCUUGCGGAUACGAUCGCUUGAU-CAAAGAACAUCUAAGGGACUGAGUAAUA +AL662969.3/86448-86535 UGUGGCAGUGAUGAGC-CC--UAACAGACCUGUAAUGAUUCUUGUGUAUAUGAUCGCUUGAUUCAAAGAACAUCUAAGGGACUGAGUUGUC +AY103180.1/27-114 CAUGGCGGUCUUGAGC-CC--UAACAGACCUGAAAUAAUUAUUGCGGAUAUGAUUGCUUAAUUCAGAGCACAUCUAAGGGACUGAGUUGCC +AJ532527.1/1-87 UUUGACGGUGAUUAGC-CC--UAACAGACCUGUAAUGAUUCUUGCGGAUACGAUCGCUUGAU-CAAAGAACAUCUAAGGGACUGAGUAAUA +AJ532528.1/4-91 GGCAACAGUGAUGAGU-CC--UUACAGACCUGUAAUGAUUCUUGCGGGAAUGAUCGCUUGAUUCAAAGAACAUCUAAGGGACUGAGUUAUC +AJ532526.1/1-86 -GUGGCAGUGAUGAGC-CC--UAACAGACCUGUAAUGAUUCUUGUGUAUAUGAUCGCUUGAUUCAAAGAACAUCUAAGGGACUGAGUUGU- +#=GC SS_cons :<<<<<__________.__.._________________________________________.______________________>>>>>: +#=GC RF ugcucCaGUGAUGAGc.CC..UuACAGAccUGUAAUGAUUcUUGCGGAuAUGAUCGCUUgAU.CaaaGAAcAUcUAAGGGACUGAGgagcc +// diff --git a/raw_data/life/L020/0009-RF00129.stockholm b/raw_data/life/L020/0009-RF00129.stockholm new file mode 100644 index 0000000000000000000000000000000000000000..3644f496ad6bfe2d6475311a5909c6c3636ef156 --- /dev/null +++ b/raw_data/life/L020/0009-RF00129.stockholm @@ -0,0 +1,143 @@ +# STOCKHOLM 1.0 +#=GF ID mir-103 +#=GF AC RF00129 +#=GF DE mir-103/107 microRNA precursor +#=GF AU Griffiths-Jones SR; 0000-0001-6043-807X +#=GF GA 59.6 +#=GF NC 51.7 +#=GF TC 59.9 +#=GF SE Griffiths-Jones SR, INFERNAL +#=GF SS Predicted; RNAalifold +#=GF TP Gene; miRNA; +#=GF BM cmbuild -F CM SEED +#=GF CB cmcalibrate --mpi CM +#=GF SM cmsearch --cpu 4 --verbose --nohmmonly -T 30.00 -Z 2958934 CM SEQDB +#=GF DR SO; 0001244; pre_miRNA; +#=GF DR GO; 0035195; miRNA-mediated post-transcriptional gene silencing; +#=GF DR GO; 0016442; RISC complex; +#=GF DR MIPF; MIPF0000024; +#=GF DR URL; http://www.mirbase.org; +#=GF RN [1] +#=GF RM 11914277 +#=GF RT miRNPs: a novel class of ribonucleoproteins containing numerous microRNAs. +#=GF RA Mourelatos Z, Dostie J, Paushkin S, Sharma A, Charroux B, Abel L, +#=GF RA Rappsilber J, Mann M, Dreyfuss G +#=GF RL Genes Dev 2002;16:720-728. +#=GF RN [2] +#=GF RM 11779458 +#=GF RT microRNAs: tiny regulators with great potential. +#=GF RA Ambros V +#=GF RL Cell 2001;107:823-826. +#=GF RN [3] +#=GF RM 30423142 +#=GF RT miRBase: from microRNA sequences to function. +#=GF RA Kozomara A, Birgaoanu M, Griffiths-Jones S +#=GF RL Nucleic Acids Res. 2019;47:D155. +#=GF CC This family consists of the mammalian microRNA (miRNA) precursors mir-103 +#=GF CC and mir107. Animal miRNAs are transcribed as ~70nt precursors and +#=GF CC subsequently processed by the Dicer enzyme to give a ~22nt product. In +#=GF CC this case the mature sequence comes from the 3' arm of the precursor. The +#=GF CC extents of the hairpin precursors are not generally known and are +#=GF CC estimated based on hairpin prediction. The products are thought to have +#=GF CC regulatory roles through complementarity to mRNA. The involvement of Dicer +#=GF CC in miRNA processing suggests a relationship with the phenomenon of RNA +#=GF CC interference. miRNAs are numbered based on the sequence of the mature RNA. +#=GF WK Mir-103/107_microRNA_precursor +#=GF SQ 93 + +URS000075BB36_31033/3-80 CUCCGCUUUUAGCCUCUUUACAGUGCUGCCUUG-UC--UAAUCAUGU-UCAAGCAGCAUUGUACAGGGCUAUGACAGCGUAG +URS0000A8E2B9_99883/6-84 CUACGCUUUUAGCCUCUUUACAGUGCUGCCUUGCUC--UACUCAUGU-UCAAGCAGCAUUGUACAGGGCUAUGACAGCGUAG +URS000075C728_7955/6-83 CUGGUCUGUCAGCCUCUUUACGGUGCUGCCUUGUG--GAAUCUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAGAGACCCG +URS0000A7AE49_7998/1-60 ----------AGCCUCUUUACGGUGCUGCCUUGUG--GAAUCUGGAU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS000075A419_8090/13-90 CUCUGCCUUCAGCCUCUUUAUGAUGCUGCCUUGUG--GCGUCUUGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCGUGG +URS0000D51A58_8030/1-60 ----------AGCCUCUUUAUGAUGCUGCCUUGUG--GAAUCUGGAU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS00007E4D57_31033/3-76 CCCUGCUCUCAGCCUCUUUACGGUGCUGCCUUGUG--GCAUCUUGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGC---- +URS0000A85808_7757/2-83 CGCUCCUUUCAGCCUCUCUAUGGUGCUGCCUUGUGUCAAACCUGCGUGUCAAGCAGCAUCGUACAGGGCUUGGAAAGUGUCG +URS000075AC7F_10090/5-82 UCGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS000075AC7F_10116/5-82 UCGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS000075C5B8_10029/1-78 UCGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS0000D4F4C3_29078/3-80 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS00006A459C_9796/1-78 UCGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS0000302909_9606/1-78 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS0000302909_9544/1-78 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS0000302909_9600/1-78 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS000075ECE7_9598/1-77 -UGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS000075BE62_9823/1-77 -UGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACUA +URS00007E3F70_9925/5-82 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACUA +URS00007E33FB_9615/1-77 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACC- +URS000075BB07_9913/1-76 UUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCAGGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAAC-- +URS00007E482B_246437/1-60 ----------AGCUUCUUUACAGUGCUGCCUUGUA--GCAUUCGGGU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS000075CDC5_13616/3-80 UGGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUU--GCAUUGAUGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS000075C28F_9258/16-93 UGGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUU--GCAUUCAUGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACCA +URS0000D5028D_8665/3-80 GGGUGCUUCCAGCUUCUUUACAGUGCUGCCUUGUU--GCAACCAUGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGACCCC +URS000075CB1A_59729/1-71 -------UUCAGCUUCUUUACAGUGCUGCCUUGUU--GCAUUCAUGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAGCAG +URS000075E418_9031/4-81 CUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUU--GCGUUCAUGU--CAAGCAGCAUUGUACAGGGCUAUGAAAGAACAG +URS000075E6DF_8364/3-80 CUGUGCUUUCAGCUUCUUUACAGUGCUGCCUUGUA--GCAUCUAUGU--CAAGCAGCAUUGUACAGGGCUAUGAAGGAGCAG +URS000075B56F_8364/1-73 --CUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCA--- +URS000075EFD2_13616/6-83 UUCUGCUUUCGGCUUCUCUACAGUGUUGCCUUGUG--GCGUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCAUAG +URS0000D55FFB_29078/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9606/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9544/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9598/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9593/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9600/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9519/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9545/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9597/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9913/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9940/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000075EC99_9823/5-82 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000075EC99_9925/5-82 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000008F0CF_9796/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000075D9F7_10029/3-80 CUCUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAAUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACUG +URS000075E2AC_10116/5-82 CUCUGCUUUAAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000075DC2E_10090/5-82 CUGUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCACAG +URS000075E2E1_9031/3-80 CUUUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCAUGG +URS000075E26E_59729/1-71 -------UUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCAUGG +URS000075CD0A_9258/6-83 CUUUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCCUAG +URS0000D557F6_8665/3-79 CUUUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCAUA- +URS00007E38AD_246437/1-58 ----------AGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAU---------- +URS00007E4368_28377/6-83 CUUUGCUUUCAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAUCAAAGCGCAG +URS00007E38AD_9615/1-58 ----------AGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGUU--CAAGCAGCAUUGUACAGGGCUAU---------- +URS000075DF9C_7955/4-81 GUGUGCUCUGAGCUUCUUUACAGUGUUGUCUUGUG--GCAUGGAGAU--CAAGCAGCAUUGUACAGGGCUAUCACAGCACAC +URS0000D561E9_7962/6-83 GUGUGCUCUGAGCUUCUUUACAGUGUUGUCUUGUG--GCAUGGAGAU--CAAGCAGCAUUGUACAGGGCUAUCACAGCACAC +URS0000D5441D_7998/1-59 ----------AGCUUCUUUACAGUGUUGUCUUGUG--GCAUGGAGAU--CAAGCAGCAUUGUACAGGGCUAUC--------- +URS0000AA9FDA_99883/4-81 GUCUGCUGUGAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGCGAU--CAAGCAGCAUUGUACAGGGCUAUCACCGCACAC +URS000075B984_8090/14-91 GUGUGCUGUGAGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGCGAU--CAAGCAGCAUUGUACAGGGCUAUCACUGCAUGC +URS000075A051_7955/4-81 GGCCACUCUGGGCUUCUCUACAGUGUUGCCUUGUA--GCCUGGUGAU--CAAGCAGCAUUGUACAGGGCUUUCAGCGUGUAC +URS0000D569D8_7998/1-54 ------------CUUCUCUACAGUGUUGCCUUGUA--GCCUGGUGAU--CAAGCAGCAUUGUACAGGGCU------------ +URS0000D53D71_8030/1-59 ----------AGCUUCUUUACAGUGUUGCCUUGUG--GCAUGGAGAU--CAAGCAGCAUUGUACAGGGCUAUC--------- +URS0000561D92_9606/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000D55791_29078/3-80 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9509/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9593/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9597/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9600/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9598/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9544/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9519/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000561D92_9545/1-78 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS000075AEDD_59729/34-111 UACUGCCUUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS000075B775_10090/5-82 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS000075B775_10116/5-82 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS000075DAB3_9823/3-80 UACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCACUG +URS000075EAB2_9913/1-72 --CUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGC---- +URS000067FD39_9031/1-78 UGCUGCCUUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCACUG +URS000075B0DF_13616/1-76 --UUGUCUUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGACAUUG +URS000075E079_9258/30-107 CCUUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAGGGCAUUG +URS0000D52F90_8665/1-69 ------CUUUGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGACA--- +URS000075A815_8364/5-82 CAUUUCCUUUGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGAUCUG +URS00007E351C_9615/1-62 --------UCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS00007E351C_246437/1-62 --------UCGGCUUCUUUACAGUGCUGCCUUGUU--GCAUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS00007E433B_28377/8-85 CGCUGCCUUCAGCUUCUUUACAGUGCUGCCUUGUU--GCUUAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGCAUUG +URS0000759B53_9796/3-72 CACUGCCCUCGGCUUCUUUACAGUGCUGCCUUGUU--GCGGAUGGAU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS000075C232_9940/1-72 --CUGCCCUCGGCUUCUCUACAGUGCUGCCUUGUC--GCAUGGGGAU--CAAGCAGCAUUGUACAGGGCUAUGAAGGC---- +URS0000AAD83F_7757/2-77 CUGUUCUCUCGGCCUCUUUACAGUGCUAUCUUGUA----GCCUCAAU--CAAGCAGCAUUGUACAGGGCUAUGAGAGAGCAA +URS0000D4FB21_7962/5-82 CUGAGCUUUGAGCCUCUUUACAAUGCUGCCUUGUA--GACCCAGAAU--CAAGCAGCAUUGUACAGGGCUAUGAAAGCACAG +URS0000A803AF_7998/1-62 --------UGAGCCUCUUUACAAUGCUGCCUUGUA--GACCCAGAAU--CAAGCAGCAUUGUACAGGGCUAUGA-------- +URS000075BEB2_8090/14-91 CUGCGCUUUUAGCCUCUUUACAGUGCUGCCUUGUCU--UCUCGCGUU--CAAGCAGCAUUGUACAGGGCUAUGACGGCGCAG +URS000075ED36_9606/1-62 ------UCAUAGCC-CUGUACAAUGCUGCUUGAUCC-AUAUGCAACA---AGGCAGCACUGUAAAGAAGCCGA--------- +URS000075D426_9606/1-62 ------UCAUAGCC-CUGUACAAUGCUGCUUGACCU-GAAUGCUACA---AGGCAGCACUGUAAAGAAGCUGA--------- +#=GC SS_cons :::::::::::::<<<<-<<<<<<<<<<-<<<<__..__________..>>>>>>>>>>>>>>->>>>:::::::::::::: +#=GC RF uucUGCUuUcAGCuUCUUUACAgUGCUGCCUUGUu..GcAUguagaU..CAAGCAGCAuUGUACAGGgCUAUgAAaGcacag +// diff --git a/raw_data/life/L020/L0020.fasta b/raw_data/life/L020/L0020.fasta new file mode 100644 index 0000000000000000000000000000000000000000..a090cf83e0dc3f06f614dfb38ccbc523a8c11567 --- /dev/null +++ b/raw_data/life/L020/L0020.fasta @@ -0,0 +1,24 @@ +>0000 URS0000DB0781 rRNA from 1 species +GGGUGCGAUCAUACGAGCGUUAAUGCAUCGGAUCCCAUCCGAACUCCGCAAUUAAGCAGGCUUGGGCUAGAGUAGUACUG +GGAUGGGUGACCUCCUGGGAAGUCCUAGUGUUGCACCCU +>0001 URS000063B853 sRNA from 2 species +UUAAUAACAUGAGAAGGGAUGAUGGGUGGACGAUGAUUAACUAAUCUUAUUUUUAACGUUUGAAAUUGAUAUUUCAAAUC +AUACAAAAUAGGAUUAGUCUGCCCAUUUUCUAUAUACGUAAGCGCUAUUUCUGAAGAAUAGCUUAUUUGAUCAUGGCAAA +GGCACGGCUAAUCCUUCCAAAACAUUUGGGAGGAUUUUUUG +>0002 URS0000632E81 snoRNA from 4 species +AAGGCAUGAUGAGGAUUGUUUAUUGUCAUCUGAUUUUCUGAUGAAUCAAUACCUCCUACUCAUUCUGA +>0003 URS00007C08AA ncRNA from 12 species +GUGAAAUUGAUCACAAACAAACAUUACCCCUUUGUUUGACCGUGAAAAAUUUCUCCCAUCCCCUUUGUUGUCGUUAAGAC +AUAUGAAACCGCGCUUAUCCCGGCGCGGUUUCUUU +>0004 URS000071BEE8 other from 1 species +GUUUCCAUCCCCGUGAGGGGUAAGAGAUUAAAAAC +>0005 URS0000D6C23B ncRNA from 2 species +ACCGAGGGAGUGCCACACCAACGCGAGUAGCCCGCCAUCCCAGAUGGCUGCAAAAGCGGGCAUAAUGAACCGGUAA +>0006 URS00007E40AF pre_miRNA from 11 species +GGGCUUAGCUGCUUGUGAGCAGAGUCCACACCAAGUCGUGUUCACAGUGGCUAAGUUCCG +>0007 URS0000692106 snoRNA from 5 species +GGUGCAAAUGAUGCAUAUGUUAGCGACCAAAGCCUGAUCUUUGCUGAUUAGUCAUAAUUAACUGACUGCACC +>0008 URS0002312AAE snoRNA from 1 species +CCCCUAUGAUGAGGACCUUUUCACAGACCUGUACUGAUAUAUCUGUGAGGAUAAGUAACUCUGAGGAGGC +>0009 URS0000A7AE49 pre_miRNA from 9 species +AGCCUCUUUACGGUGCUGCCUUGUGGAAUCUGGAUCAAGCAGCAUUGUACAGGGCUAUGA \ No newline at end of file diff --git a/raw_data/material/M001/Ag2O.cif b/raw_data/material/M001/Ag2O.cif new file mode 100644 index 0000000000000000000000000000000000000000..25a1fb8ab983a674b8abc2ace9a3806fccc4cc38 --- /dev/null +++ b/raw_data/material/M001/Ag2O.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_Ag2O +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.75399071 +_cell_length_b 4.75399071 +_cell_length_c 4.75399071 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Ag2O +_chemical_formula_sum 'Ag4 O2' +_cell_volume 107.44222319 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag+ 1.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag+ Ag0 1 0.25000000 0.25000000 0.75000000 1 + Ag+ Ag1 1 0.75000000 0.25000000 0.25000000 1 + Ag+ Ag2 1 0.25000000 0.75000000 0.25000000 1 + Ag+ Ag3 1 0.75000000 0.75000000 0.75000000 1 + O2- O4 1 0.00000000 0.00000000 0.00000000 1 + O2- O5 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M001/AlN.cif b/raw_data/material/M001/AlN.cif new file mode 100644 index 0000000000000000000000000000000000000000..8f8a0ce0102c748c45b0b727489223aa0f71fd66 --- /dev/null +++ b/raw_data/material/M001/AlN.cif @@ -0,0 +1,35 @@ +# generated using pymatgen +data_AlN +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 3.12858814 +_cell_length_b 3.12858814 +_cell_length_c 5.01695500 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AlN +_chemical_formula_sum 'Al2 N2' +_cell_volume 42.52728185 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Al3+ 3.0 + N3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al3+ Al0 1 0.66666667 0.33333333 0.49928700 1 + Al3+ Al1 1 0.33333333 0.66666667 0.99928700 1 + N3- N2 1 0.66666667 0.33333333 0.88071300 1 + N3- N3 1 0.33333333 0.66666667 0.38071300 1 diff --git a/raw_data/material/M001/BAs.cif b/raw_data/material/M001/BAs.cif new file mode 100644 index 0000000000000000000000000000000000000000..bcafef2c1b9bee4786fc16b230f33ffbffdb8657 --- /dev/null +++ b/raw_data/material/M001/BAs.cif @@ -0,0 +1,128 @@ +# generated using pymatgen +data_BAs +_symmetry_space_group_name_H-M F-43m +_cell_length_a 4.81925400 +_cell_length_b 4.81925400 +_cell_length_c 4.81925400 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 216 +_chemical_formula_structural BAs +_chemical_formula_sum 'B4 As4' +_cell_volume 111.92818194 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' + 2 'y, -x, -z' + 3 '-x, -y, z' + 4 '-y, x, -z' + 5 'x, -y, -z' + 6 'y, x, z' + 7 '-x, y, -z' + 8 '-y, -x, z' + 9 'z, x, y' + 10 '-z, y, -x' + 11 'z, -x, -y' + 12 '-z, -y, x' + 13 '-z, x, -y' + 14 'z, y, x' + 15 '-z, -x, y' + 16 'z, -y, -x' + 17 'y, z, x' + 18 '-x, -z, y' + 19 '-y, z, -x' + 20 'x, -z, -y' + 21 '-y, -z, x' + 22 'x, z, y' + 23 'y, -z, -x' + 24 '-x, z, -y' + 25 'x+1/2, y+1/2, z' + 26 'y+1/2, -x+1/2, -z' + 27 '-x+1/2, -y+1/2, z' + 28 '-y+1/2, x+1/2, -z' + 29 'x+1/2, -y+1/2, -z' + 30 'y+1/2, x+1/2, z' + 31 '-x+1/2, y+1/2, -z' + 32 '-y+1/2, -x+1/2, z' + 33 'z+1/2, x+1/2, y' + 34 '-z+1/2, y+1/2, -x' + 35 'z+1/2, -x+1/2, -y' + 36 '-z+1/2, -y+1/2, x' + 37 '-z+1/2, x+1/2, -y' + 38 'z+1/2, y+1/2, x' + 39 '-z+1/2, -x+1/2, y' + 40 'z+1/2, -y+1/2, -x' + 41 'y+1/2, z+1/2, x' + 42 '-x+1/2, -z+1/2, y' + 43 '-y+1/2, z+1/2, -x' + 44 'x+1/2, -z+1/2, -y' + 45 '-y+1/2, -z+1/2, x' + 46 'x+1/2, z+1/2, y' + 47 'y+1/2, -z+1/2, -x' + 48 '-x+1/2, z+1/2, -y' + 49 'x+1/2, y, z+1/2' + 50 'y+1/2, -x, -z+1/2' + 51 '-x+1/2, -y, z+1/2' + 52 '-y+1/2, x, -z+1/2' + 53 'x+1/2, -y, -z+1/2' + 54 'y+1/2, x, z+1/2' + 55 '-x+1/2, y, -z+1/2' + 56 '-y+1/2, -x, z+1/2' + 57 'z+1/2, x, y+1/2' + 58 '-z+1/2, y, -x+1/2' + 59 'z+1/2, -x, -y+1/2' + 60 '-z+1/2, -y, x+1/2' + 61 '-z+1/2, x, -y+1/2' + 62 'z+1/2, y, x+1/2' + 63 '-z+1/2, -x, y+1/2' + 64 'z+1/2, -y, -x+1/2' + 65 'y+1/2, z, x+1/2' + 66 '-x+1/2, -z, y+1/2' + 67 '-y+1/2, z, -x+1/2' + 68 'x+1/2, -z, -y+1/2' + 69 '-y+1/2, -z, x+1/2' + 70 'x+1/2, z, y+1/2' + 71 'y+1/2, -z, -x+1/2' + 72 '-x+1/2, z, -y+1/2' + 73 'x, y+1/2, z+1/2' + 74 'y, -x+1/2, -z+1/2' + 75 '-x, -y+1/2, z+1/2' + 76 '-y, x+1/2, -z+1/2' + 77 'x, -y+1/2, -z+1/2' + 78 'y, x+1/2, z+1/2' + 79 '-x, y+1/2, -z+1/2' + 80 '-y, -x+1/2, z+1/2' + 81 'z, x+1/2, y+1/2' + 82 '-z, y+1/2, -x+1/2' + 83 'z, -x+1/2, -y+1/2' + 84 '-z, -y+1/2, x+1/2' + 85 '-z, x+1/2, -y+1/2' + 86 'z, y+1/2, x+1/2' + 87 '-z, -x+1/2, y+1/2' + 88 'z, -y+1/2, -x+1/2' + 89 'y, z+1/2, x+1/2' + 90 '-x, -z+1/2, y+1/2' + 91 '-y, z+1/2, -x+1/2' + 92 'x, -z+1/2, -y+1/2' + 93 '-y, -z+1/2, x+1/2' + 94 'x, z+1/2, y+1/2' + 95 'y, -z+1/2, -x+1/2' + 96 '-x, z+1/2, -y+1/2' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + As3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 4 0.25000000 0.25000000 0.25000000 1 + As3- As1 4 0.00000000 0.00000000 0.00000000 1 diff --git a/raw_data/material/M002/Ag2O.cif b/raw_data/material/M002/Ag2O.cif new file mode 100644 index 0000000000000000000000000000000000000000..25a1fb8ab983a674b8abc2ace9a3806fccc4cc38 --- /dev/null +++ b/raw_data/material/M002/Ag2O.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_Ag2O +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.75399071 +_cell_length_b 4.75399071 +_cell_length_c 4.75399071 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Ag2O +_chemical_formula_sum 'Ag4 O2' +_cell_volume 107.44222319 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag+ 1.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag+ Ag0 1 0.25000000 0.25000000 0.75000000 1 + Ag+ Ag1 1 0.75000000 0.25000000 0.25000000 1 + Ag+ Ag2 1 0.25000000 0.75000000 0.25000000 1 + Ag+ Ag3 1 0.75000000 0.75000000 0.75000000 1 + O2- O4 1 0.00000000 0.00000000 0.00000000 1 + O2- O5 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M002/AgF2.cif b/raw_data/material/M002/AgF2.cif new file mode 100644 index 0000000000000000000000000000000000000000..72cf69e8d2cbfd5f71a64da48dd12c79931e5004 --- /dev/null +++ b/raw_data/material/M002/AgF2.cif @@ -0,0 +1,43 @@ +# generated using pymatgen +data_AgF2 +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 5.15029714 +_cell_length_b 5.61804978 +_cell_length_c 5.73745983 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AgF2 +_chemical_formula_sum 'Ag4 F8' +_cell_volume 166.01125277 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag2+ 2.0 + F- -1.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag2+ Ag0 1 0.50000000 0.00000000 0.50000000 1 + Ag2+ Ag1 1 0.00000000 0.50000000 0.50000000 1 + Ag2+ Ag2 1 0.50000000 0.50000000 0.00000000 1 + Ag2+ Ag3 1 0.00000000 0.00000000 0.00000000 1 + F- F4 1 0.68411866 0.30511619 0.62873397 1 + F- F5 1 0.18411866 0.19488381 0.37126603 1 + F- F6 1 0.31588134 0.80511619 0.87126603 1 + F- F7 1 0.81588134 0.69488381 0.12873397 1 + F- F8 1 0.18411866 0.30511619 0.87126603 1 + F- F9 1 0.68411866 0.19488381 0.12873397 1 + F- F10 1 0.81588134 0.80511619 0.62873397 1 + F- F11 1 0.31588134 0.69488381 0.37126603 1 diff --git a/raw_data/material/M002/Al3Ir.cif b/raw_data/material/M002/Al3Ir.cif new file mode 100644 index 0000000000000000000000000000000000000000..7a0e62df6ac96acb67119095d7bfd0060561d4b6 --- /dev/null +++ b/raw_data/material/M002/Al3Ir.cif @@ -0,0 +1,34 @@ +# generated using pymatgen +data_Al3Ir +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.27012567 +_cell_length_b 4.27012567 +_cell_length_c 7.74077817 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Al3Ir +_chemical_formula_sum 'Al6 Ir2' +_cell_volume 122.23527844 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al Al0 1 0.00000000 0.00000000 0.25000000 1 + Al Al1 1 0.00000000 0.00000000 0.75000000 1 + Al Al2 1 0.33333333 0.66666667 0.57989058 1 + Al Al3 1 0.66666667 0.33333333 0.07989058 1 + Al Al4 1 0.66666667 0.33333333 0.42010942 1 + Al Al5 1 0.33333333 0.66666667 0.92010942 1 + Ir Ir6 1 0.33333333 0.66666667 0.25000000 1 + Ir Ir7 1 0.66666667 0.33333333 0.75000000 1 diff --git a/raw_data/material/M002/AlN.cif b/raw_data/material/M002/AlN.cif new file mode 100644 index 0000000000000000000000000000000000000000..8f8a0ce0102c748c45b0b727489223aa0f71fd66 --- /dev/null +++ b/raw_data/material/M002/AlN.cif @@ -0,0 +1,35 @@ +# generated using pymatgen +data_AlN +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 3.12858814 +_cell_length_b 3.12858814 +_cell_length_c 5.01695500 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AlN +_chemical_formula_sum 'Al2 N2' +_cell_volume 42.52728185 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Al3+ 3.0 + N3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al3+ Al0 1 0.66666667 0.33333333 0.49928700 1 + Al3+ Al1 1 0.33333333 0.66666667 0.99928700 1 + N3- N2 1 0.66666667 0.33333333 0.88071300 1 + N3- N3 1 0.33333333 0.66666667 0.38071300 1 diff --git a/raw_data/material/M002/BAs.cif b/raw_data/material/M002/BAs.cif new file mode 100644 index 0000000000000000000000000000000000000000..bcafef2c1b9bee4786fc16b230f33ffbffdb8657 --- /dev/null +++ b/raw_data/material/M002/BAs.cif @@ -0,0 +1,128 @@ +# generated using pymatgen +data_BAs +_symmetry_space_group_name_H-M F-43m +_cell_length_a 4.81925400 +_cell_length_b 4.81925400 +_cell_length_c 4.81925400 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 216 +_chemical_formula_structural BAs +_chemical_formula_sum 'B4 As4' +_cell_volume 111.92818194 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' + 2 'y, -x, -z' + 3 '-x, -y, z' + 4 '-y, x, -z' + 5 'x, -y, -z' + 6 'y, x, z' + 7 '-x, y, -z' + 8 '-y, -x, z' + 9 'z, x, y' + 10 '-z, y, -x' + 11 'z, -x, -y' + 12 '-z, -y, x' + 13 '-z, x, -y' + 14 'z, y, x' + 15 '-z, -x, y' + 16 'z, -y, -x' + 17 'y, z, x' + 18 '-x, -z, y' + 19 '-y, z, -x' + 20 'x, -z, -y' + 21 '-y, -z, x' + 22 'x, z, y' + 23 'y, -z, -x' + 24 '-x, z, -y' + 25 'x+1/2, y+1/2, z' + 26 'y+1/2, -x+1/2, -z' + 27 '-x+1/2, -y+1/2, z' + 28 '-y+1/2, x+1/2, -z' + 29 'x+1/2, -y+1/2, -z' + 30 'y+1/2, x+1/2, z' + 31 '-x+1/2, y+1/2, -z' + 32 '-y+1/2, -x+1/2, z' + 33 'z+1/2, x+1/2, y' + 34 '-z+1/2, y+1/2, -x' + 35 'z+1/2, -x+1/2, -y' + 36 '-z+1/2, -y+1/2, x' + 37 '-z+1/2, x+1/2, -y' + 38 'z+1/2, y+1/2, x' + 39 '-z+1/2, -x+1/2, y' + 40 'z+1/2, -y+1/2, -x' + 41 'y+1/2, z+1/2, x' + 42 '-x+1/2, -z+1/2, y' + 43 '-y+1/2, z+1/2, -x' + 44 'x+1/2, -z+1/2, -y' + 45 '-y+1/2, -z+1/2, x' + 46 'x+1/2, z+1/2, y' + 47 'y+1/2, -z+1/2, -x' + 48 '-x+1/2, z+1/2, -y' + 49 'x+1/2, y, z+1/2' + 50 'y+1/2, -x, -z+1/2' + 51 '-x+1/2, -y, z+1/2' + 52 '-y+1/2, x, -z+1/2' + 53 'x+1/2, -y, -z+1/2' + 54 'y+1/2, x, z+1/2' + 55 '-x+1/2, y, -z+1/2' + 56 '-y+1/2, -x, z+1/2' + 57 'z+1/2, x, y+1/2' + 58 '-z+1/2, y, -x+1/2' + 59 'z+1/2, -x, -y+1/2' + 60 '-z+1/2, -y, x+1/2' + 61 '-z+1/2, x, -y+1/2' + 62 'z+1/2, y, x+1/2' + 63 '-z+1/2, -x, y+1/2' + 64 'z+1/2, -y, -x+1/2' + 65 'y+1/2, z, x+1/2' + 66 '-x+1/2, -z, y+1/2' + 67 '-y+1/2, z, -x+1/2' + 68 'x+1/2, -z, -y+1/2' + 69 '-y+1/2, -z, x+1/2' + 70 'x+1/2, z, y+1/2' + 71 'y+1/2, -z, -x+1/2' + 72 '-x+1/2, z, -y+1/2' + 73 'x, y+1/2, z+1/2' + 74 'y, -x+1/2, -z+1/2' + 75 '-x, -y+1/2, z+1/2' + 76 '-y, x+1/2, -z+1/2' + 77 'x, -y+1/2, -z+1/2' + 78 'y, x+1/2, z+1/2' + 79 '-x, y+1/2, -z+1/2' + 80 '-y, -x+1/2, z+1/2' + 81 'z, x+1/2, y+1/2' + 82 '-z, y+1/2, -x+1/2' + 83 'z, -x+1/2, -y+1/2' + 84 '-z, -y+1/2, x+1/2' + 85 '-z, x+1/2, -y+1/2' + 86 'z, y+1/2, x+1/2' + 87 '-z, -x+1/2, y+1/2' + 88 'z, -y+1/2, -x+1/2' + 89 'y, z+1/2, x+1/2' + 90 '-x, -z+1/2, y+1/2' + 91 '-y, z+1/2, -x+1/2' + 92 'x, -z+1/2, -y+1/2' + 93 '-y, -z+1/2, x+1/2' + 94 'x, z+1/2, y+1/2' + 95 'y, -z+1/2, -x+1/2' + 96 '-x, z+1/2, -y+1/2' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + As3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 4 0.25000000 0.25000000 0.25000000 1 + As3- As1 4 0.00000000 0.00000000 0.00000000 1 diff --git a/raw_data/material/M002/BP.cif b/raw_data/material/M002/BP.cif new file mode 100644 index 0000000000000000000000000000000000000000..05ffda1cb2a60173f3b37afd1f52a4483315ff9d --- /dev/null +++ b/raw_data/material/M002/BP.cif @@ -0,0 +1,39 @@ +# generated using pymatgen +data_BP +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.53214477 +_cell_length_b 4.53214477 +_cell_length_c 4.53214477 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural BP +_chemical_formula_sum 'B4 P4' +_cell_volume 93.09177730 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + P3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 1 0.00000000 0.00000000 0.00000000 1 + B3+ B1 1 0.00000000 0.50000000 0.50000000 1 + B3+ B2 1 0.50000000 0.00000000 0.50000000 1 + B3+ B3 1 0.50000000 0.50000000 0.00000000 1 + P3- P4 1 0.25000000 0.75000000 0.75000000 1 + P3- P5 1 0.25000000 0.25000000 0.25000000 1 + P3- P6 1 0.75000000 0.75000000 0.25000000 1 + P3- P7 1 0.75000000 0.25000000 0.75000000 1 diff --git a/raw_data/material/M002/BaTe.cif b/raw_data/material/M002/BaTe.cif new file mode 100644 index 0000000000000000000000000000000000000000..eff9e33d4715ef58418d06eb2ecbbf2355f4e697 --- /dev/null +++ b/raw_data/material/M002/BaTe.cif @@ -0,0 +1,39 @@ +# generated using pymatgen +data_BaTe +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 7.08983954 +_cell_length_b 7.08983954 +_cell_length_c 7.08983954 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural BaTe +_chemical_formula_sum 'Ba4 Te4' +_cell_volume 356.37663148 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ba2+ 2.0 + Te2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ba2+ Ba0 1 0.00000000 0.00000000 0.00000000 1 + Ba2+ Ba1 1 0.00000000 0.50000000 0.50000000 1 + Ba2+ Ba2 1 0.50000000 0.00000000 0.50000000 1 + Ba2+ Ba3 1 0.50000000 0.50000000 0.00000000 1 + Te2- Te4 1 0.00000000 0.00000000 0.50000000 1 + Te2- Te5 1 0.00000000 0.50000000 0.00000000 1 + Te2- Te6 1 0.50000000 0.00000000 0.00000000 1 + Te2- Te7 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M002/SnO2.cif b/raw_data/material/M002/SnO2.cif new file mode 100644 index 0000000000000000000000000000000000000000..033eb6118e7601ce70472d97ba55c33398d2fad9 --- /dev/null +++ b/raw_data/material/M002/SnO2.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_SnO2 +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.76481805 +_cell_length_b 4.76481805 +_cell_length_c 3.20749977 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural SnO2 +_chemical_formula_sum 'Sn2 O4' +_cell_volume 72.82144217 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Sn4+ 4.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Sn4+ Sn0 1 0.50000000 0.50000000 0.50000000 1 + Sn4+ Sn1 1 0.00000000 0.00000000 0.00000000 1 + O2- O2 1 0.80597230 0.19402771 0.50000000 1 + O2- O3 1 0.19402771 0.80597230 0.50000000 1 + O2- O4 1 0.30597230 0.30597230 0.00000000 1 + O2- O5 1 0.69402770 0.69402770 0.00000000 1 diff --git a/raw_data/material/M003/Ag2O.cif b/raw_data/material/M003/Ag2O.cif new file mode 100644 index 0000000000000000000000000000000000000000..25a1fb8ab983a674b8abc2ace9a3806fccc4cc38 --- /dev/null +++ b/raw_data/material/M003/Ag2O.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_Ag2O +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.75399071 +_cell_length_b 4.75399071 +_cell_length_c 4.75399071 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Ag2O +_chemical_formula_sum 'Ag4 O2' +_cell_volume 107.44222319 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag+ 1.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag+ Ag0 1 0.25000000 0.25000000 0.75000000 1 + Ag+ Ag1 1 0.75000000 0.25000000 0.25000000 1 + Ag+ Ag2 1 0.25000000 0.75000000 0.25000000 1 + Ag+ Ag3 1 0.75000000 0.75000000 0.75000000 1 + O2- O4 1 0.00000000 0.00000000 0.00000000 1 + O2- O5 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M003/AgF2.cif b/raw_data/material/M003/AgF2.cif new file mode 100644 index 0000000000000000000000000000000000000000..72cf69e8d2cbfd5f71a64da48dd12c79931e5004 --- /dev/null +++ b/raw_data/material/M003/AgF2.cif @@ -0,0 +1,43 @@ +# generated using pymatgen +data_AgF2 +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 5.15029714 +_cell_length_b 5.61804978 +_cell_length_c 5.73745983 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AgF2 +_chemical_formula_sum 'Ag4 F8' +_cell_volume 166.01125277 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag2+ 2.0 + F- -1.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag2+ Ag0 1 0.50000000 0.00000000 0.50000000 1 + Ag2+ Ag1 1 0.00000000 0.50000000 0.50000000 1 + Ag2+ Ag2 1 0.50000000 0.50000000 0.00000000 1 + Ag2+ Ag3 1 0.00000000 0.00000000 0.00000000 1 + F- F4 1 0.68411866 0.30511619 0.62873397 1 + F- F5 1 0.18411866 0.19488381 0.37126603 1 + F- F6 1 0.31588134 0.80511619 0.87126603 1 + F- F7 1 0.81588134 0.69488381 0.12873397 1 + F- F8 1 0.18411866 0.30511619 0.87126603 1 + F- F9 1 0.68411866 0.19488381 0.12873397 1 + F- F10 1 0.81588134 0.80511619 0.62873397 1 + F- F11 1 0.31588134 0.69488381 0.37126603 1 diff --git a/raw_data/material/M003/Al3Ir.cif b/raw_data/material/M003/Al3Ir.cif new file mode 100644 index 0000000000000000000000000000000000000000..7a0e62df6ac96acb67119095d7bfd0060561d4b6 --- /dev/null +++ b/raw_data/material/M003/Al3Ir.cif @@ -0,0 +1,34 @@ +# generated using pymatgen +data_Al3Ir +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.27012567 +_cell_length_b 4.27012567 +_cell_length_c 7.74077817 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Al3Ir +_chemical_formula_sum 'Al6 Ir2' +_cell_volume 122.23527844 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al Al0 1 0.00000000 0.00000000 0.25000000 1 + Al Al1 1 0.00000000 0.00000000 0.75000000 1 + Al Al2 1 0.33333333 0.66666667 0.57989058 1 + Al Al3 1 0.66666667 0.33333333 0.07989058 1 + Al Al4 1 0.66666667 0.33333333 0.42010942 1 + Al Al5 1 0.33333333 0.66666667 0.92010942 1 + Ir Ir6 1 0.33333333 0.66666667 0.25000000 1 + Ir Ir7 1 0.66666667 0.33333333 0.75000000 1 diff --git a/raw_data/material/M003/AlN.cif b/raw_data/material/M003/AlN.cif new file mode 100644 index 0000000000000000000000000000000000000000..8f8a0ce0102c748c45b0b727489223aa0f71fd66 --- /dev/null +++ b/raw_data/material/M003/AlN.cif @@ -0,0 +1,35 @@ +# generated using pymatgen +data_AlN +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 3.12858814 +_cell_length_b 3.12858814 +_cell_length_c 5.01695500 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AlN +_chemical_formula_sum 'Al2 N2' +_cell_volume 42.52728185 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Al3+ 3.0 + N3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al3+ Al0 1 0.66666667 0.33333333 0.49928700 1 + Al3+ Al1 1 0.33333333 0.66666667 0.99928700 1 + N3- N2 1 0.66666667 0.33333333 0.88071300 1 + N3- N3 1 0.33333333 0.66666667 0.38071300 1 diff --git a/raw_data/material/M003/BAs.cif b/raw_data/material/M003/BAs.cif new file mode 100644 index 0000000000000000000000000000000000000000..bcafef2c1b9bee4786fc16b230f33ffbffdb8657 --- /dev/null +++ b/raw_data/material/M003/BAs.cif @@ -0,0 +1,128 @@ +# generated using pymatgen +data_BAs +_symmetry_space_group_name_H-M F-43m +_cell_length_a 4.81925400 +_cell_length_b 4.81925400 +_cell_length_c 4.81925400 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 216 +_chemical_formula_structural BAs +_chemical_formula_sum 'B4 As4' +_cell_volume 111.92818194 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' + 2 'y, -x, -z' + 3 '-x, -y, z' + 4 '-y, x, -z' + 5 'x, -y, -z' + 6 'y, x, z' + 7 '-x, y, -z' + 8 '-y, -x, z' + 9 'z, x, y' + 10 '-z, y, -x' + 11 'z, -x, -y' + 12 '-z, -y, x' + 13 '-z, x, -y' + 14 'z, y, x' + 15 '-z, -x, y' + 16 'z, -y, -x' + 17 'y, z, x' + 18 '-x, -z, y' + 19 '-y, z, -x' + 20 'x, -z, -y' + 21 '-y, -z, x' + 22 'x, z, y' + 23 'y, -z, -x' + 24 '-x, z, -y' + 25 'x+1/2, y+1/2, z' + 26 'y+1/2, -x+1/2, -z' + 27 '-x+1/2, -y+1/2, z' + 28 '-y+1/2, x+1/2, -z' + 29 'x+1/2, -y+1/2, -z' + 30 'y+1/2, x+1/2, z' + 31 '-x+1/2, y+1/2, -z' + 32 '-y+1/2, -x+1/2, z' + 33 'z+1/2, x+1/2, y' + 34 '-z+1/2, y+1/2, -x' + 35 'z+1/2, -x+1/2, -y' + 36 '-z+1/2, -y+1/2, x' + 37 '-z+1/2, x+1/2, -y' + 38 'z+1/2, y+1/2, x' + 39 '-z+1/2, -x+1/2, y' + 40 'z+1/2, -y+1/2, -x' + 41 'y+1/2, z+1/2, x' + 42 '-x+1/2, -z+1/2, y' + 43 '-y+1/2, z+1/2, -x' + 44 'x+1/2, -z+1/2, -y' + 45 '-y+1/2, -z+1/2, x' + 46 'x+1/2, z+1/2, y' + 47 'y+1/2, -z+1/2, -x' + 48 '-x+1/2, z+1/2, -y' + 49 'x+1/2, y, z+1/2' + 50 'y+1/2, -x, -z+1/2' + 51 '-x+1/2, -y, z+1/2' + 52 '-y+1/2, x, -z+1/2' + 53 'x+1/2, -y, -z+1/2' + 54 'y+1/2, x, z+1/2' + 55 '-x+1/2, y, -z+1/2' + 56 '-y+1/2, -x, z+1/2' + 57 'z+1/2, x, y+1/2' + 58 '-z+1/2, y, -x+1/2' + 59 'z+1/2, -x, -y+1/2' + 60 '-z+1/2, -y, x+1/2' + 61 '-z+1/2, x, -y+1/2' + 62 'z+1/2, y, x+1/2' + 63 '-z+1/2, -x, y+1/2' + 64 'z+1/2, -y, -x+1/2' + 65 'y+1/2, z, x+1/2' + 66 '-x+1/2, -z, y+1/2' + 67 '-y+1/2, z, -x+1/2' + 68 'x+1/2, -z, -y+1/2' + 69 '-y+1/2, -z, x+1/2' + 70 'x+1/2, z, y+1/2' + 71 'y+1/2, -z, -x+1/2' + 72 '-x+1/2, z, -y+1/2' + 73 'x, y+1/2, z+1/2' + 74 'y, -x+1/2, -z+1/2' + 75 '-x, -y+1/2, z+1/2' + 76 '-y, x+1/2, -z+1/2' + 77 'x, -y+1/2, -z+1/2' + 78 'y, x+1/2, z+1/2' + 79 '-x, y+1/2, -z+1/2' + 80 '-y, -x+1/2, z+1/2' + 81 'z, x+1/2, y+1/2' + 82 '-z, y+1/2, -x+1/2' + 83 'z, -x+1/2, -y+1/2' + 84 '-z, -y+1/2, x+1/2' + 85 '-z, x+1/2, -y+1/2' + 86 'z, y+1/2, x+1/2' + 87 '-z, -x+1/2, y+1/2' + 88 'z, -y+1/2, -x+1/2' + 89 'y, z+1/2, x+1/2' + 90 '-x, -z+1/2, y+1/2' + 91 '-y, z+1/2, -x+1/2' + 92 'x, -z+1/2, -y+1/2' + 93 '-y, -z+1/2, x+1/2' + 94 'x, z+1/2, y+1/2' + 95 'y, -z+1/2, -x+1/2' + 96 '-x, z+1/2, -y+1/2' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + As3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 4 0.25000000 0.25000000 0.25000000 1 + As3- As1 4 0.00000000 0.00000000 0.00000000 1 diff --git a/raw_data/material/M003/BP.cif b/raw_data/material/M003/BP.cif new file mode 100644 index 0000000000000000000000000000000000000000..05ffda1cb2a60173f3b37afd1f52a4483315ff9d --- /dev/null +++ b/raw_data/material/M003/BP.cif @@ -0,0 +1,39 @@ +# generated using pymatgen +data_BP +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.53214477 +_cell_length_b 4.53214477 +_cell_length_c 4.53214477 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural BP +_chemical_formula_sum 'B4 P4' +_cell_volume 93.09177730 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + P3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 1 0.00000000 0.00000000 0.00000000 1 + B3+ B1 1 0.00000000 0.50000000 0.50000000 1 + B3+ B2 1 0.50000000 0.00000000 0.50000000 1 + B3+ B3 1 0.50000000 0.50000000 0.00000000 1 + P3- P4 1 0.25000000 0.75000000 0.75000000 1 + P3- P5 1 0.25000000 0.25000000 0.25000000 1 + P3- P6 1 0.75000000 0.75000000 0.25000000 1 + P3- P7 1 0.75000000 0.25000000 0.75000000 1 diff --git a/raw_data/material/M003/BaTe.cif b/raw_data/material/M003/BaTe.cif new file mode 100644 index 0000000000000000000000000000000000000000..eff9e33d4715ef58418d06eb2ecbbf2355f4e697 --- /dev/null +++ b/raw_data/material/M003/BaTe.cif @@ -0,0 +1,39 @@ +# generated using pymatgen +data_BaTe +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 7.08983954 +_cell_length_b 7.08983954 +_cell_length_c 7.08983954 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural BaTe +_chemical_formula_sum 'Ba4 Te4' +_cell_volume 356.37663148 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ba2+ 2.0 + Te2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ba2+ Ba0 1 0.00000000 0.00000000 0.00000000 1 + Ba2+ Ba1 1 0.00000000 0.50000000 0.50000000 1 + Ba2+ Ba2 1 0.50000000 0.00000000 0.50000000 1 + Ba2+ Ba3 1 0.50000000 0.50000000 0.00000000 1 + Te2- Te4 1 0.00000000 0.00000000 0.50000000 1 + Te2- Te5 1 0.00000000 0.50000000 0.00000000 1 + Te2- Te6 1 0.50000000 0.00000000 0.00000000 1 + Te2- Te7 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M003/SnO2.cif b/raw_data/material/M003/SnO2.cif new file mode 100644 index 0000000000000000000000000000000000000000..033eb6118e7601ce70472d97ba55c33398d2fad9 --- /dev/null +++ b/raw_data/material/M003/SnO2.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_SnO2 +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.76481805 +_cell_length_b 4.76481805 +_cell_length_c 3.20749977 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural SnO2 +_chemical_formula_sum 'Sn2 O4' +_cell_volume 72.82144217 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Sn4+ 4.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Sn4+ Sn0 1 0.50000000 0.50000000 0.50000000 1 + Sn4+ Sn1 1 0.00000000 0.00000000 0.00000000 1 + O2- O2 1 0.80597230 0.19402771 0.50000000 1 + O2- O3 1 0.19402771 0.80597230 0.50000000 1 + O2- O4 1 0.30597230 0.30597230 0.00000000 1 + O2- O5 1 0.69402770 0.69402770 0.00000000 1 diff --git a/raw_data/material/M004/Ag2O.cif b/raw_data/material/M004/Ag2O.cif new file mode 100644 index 0000000000000000000000000000000000000000..25a1fb8ab983a674b8abc2ace9a3806fccc4cc38 --- /dev/null +++ b/raw_data/material/M004/Ag2O.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_Ag2O +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.75399071 +_cell_length_b 4.75399071 +_cell_length_c 4.75399071 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Ag2O +_chemical_formula_sum 'Ag4 O2' +_cell_volume 107.44222319 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag+ 1.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag+ Ag0 1 0.25000000 0.25000000 0.75000000 1 + Ag+ Ag1 1 0.75000000 0.25000000 0.25000000 1 + Ag+ Ag2 1 0.25000000 0.75000000 0.25000000 1 + Ag+ Ag3 1 0.75000000 0.75000000 0.75000000 1 + O2- O4 1 0.00000000 0.00000000 0.00000000 1 + O2- O5 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M004/AgF2.cif b/raw_data/material/M004/AgF2.cif new file mode 100644 index 0000000000000000000000000000000000000000..72cf69e8d2cbfd5f71a64da48dd12c79931e5004 --- /dev/null +++ b/raw_data/material/M004/AgF2.cif @@ -0,0 +1,43 @@ +# generated using pymatgen +data_AgF2 +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 5.15029714 +_cell_length_b 5.61804978 +_cell_length_c 5.73745983 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AgF2 +_chemical_formula_sum 'Ag4 F8' +_cell_volume 166.01125277 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ag2+ 2.0 + F- -1.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ag2+ Ag0 1 0.50000000 0.00000000 0.50000000 1 + Ag2+ Ag1 1 0.00000000 0.50000000 0.50000000 1 + Ag2+ Ag2 1 0.50000000 0.50000000 0.00000000 1 + Ag2+ Ag3 1 0.00000000 0.00000000 0.00000000 1 + F- F4 1 0.68411866 0.30511619 0.62873397 1 + F- F5 1 0.18411866 0.19488381 0.37126603 1 + F- F6 1 0.31588134 0.80511619 0.87126603 1 + F- F7 1 0.81588134 0.69488381 0.12873397 1 + F- F8 1 0.18411866 0.30511619 0.87126603 1 + F- F9 1 0.68411866 0.19488381 0.12873397 1 + F- F10 1 0.81588134 0.80511619 0.62873397 1 + F- F11 1 0.31588134 0.69488381 0.37126603 1 diff --git a/raw_data/material/M004/Al3Ir.cif b/raw_data/material/M004/Al3Ir.cif new file mode 100644 index 0000000000000000000000000000000000000000..7a0e62df6ac96acb67119095d7bfd0060561d4b6 --- /dev/null +++ b/raw_data/material/M004/Al3Ir.cif @@ -0,0 +1,34 @@ +# generated using pymatgen +data_Al3Ir +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.27012567 +_cell_length_b 4.27012567 +_cell_length_c 7.74077817 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural Al3Ir +_chemical_formula_sum 'Al6 Ir2' +_cell_volume 122.23527844 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al Al0 1 0.00000000 0.00000000 0.25000000 1 + Al Al1 1 0.00000000 0.00000000 0.75000000 1 + Al Al2 1 0.33333333 0.66666667 0.57989058 1 + Al Al3 1 0.66666667 0.33333333 0.07989058 1 + Al Al4 1 0.66666667 0.33333333 0.42010942 1 + Al Al5 1 0.33333333 0.66666667 0.92010942 1 + Ir Ir6 1 0.33333333 0.66666667 0.25000000 1 + Ir Ir7 1 0.66666667 0.33333333 0.75000000 1 diff --git a/raw_data/material/M004/AlN.cif b/raw_data/material/M004/AlN.cif new file mode 100644 index 0000000000000000000000000000000000000000..8f8a0ce0102c748c45b0b727489223aa0f71fd66 --- /dev/null +++ b/raw_data/material/M004/AlN.cif @@ -0,0 +1,35 @@ +# generated using pymatgen +data_AlN +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 3.12858814 +_cell_length_b 3.12858814 +_cell_length_c 5.01695500 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 120.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural AlN +_chemical_formula_sum 'Al2 N2' +_cell_volume 42.52728185 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Al3+ 3.0 + N3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Al3+ Al0 1 0.66666667 0.33333333 0.49928700 1 + Al3+ Al1 1 0.33333333 0.66666667 0.99928700 1 + N3- N2 1 0.66666667 0.33333333 0.88071300 1 + N3- N3 1 0.33333333 0.66666667 0.38071300 1 diff --git a/raw_data/material/M004/BAs.cif b/raw_data/material/M004/BAs.cif new file mode 100644 index 0000000000000000000000000000000000000000..bcafef2c1b9bee4786fc16b230f33ffbffdb8657 --- /dev/null +++ b/raw_data/material/M004/BAs.cif @@ -0,0 +1,128 @@ +# generated using pymatgen +data_BAs +_symmetry_space_group_name_H-M F-43m +_cell_length_a 4.81925400 +_cell_length_b 4.81925400 +_cell_length_c 4.81925400 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 216 +_chemical_formula_structural BAs +_chemical_formula_sum 'B4 As4' +_cell_volume 111.92818194 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' + 2 'y, -x, -z' + 3 '-x, -y, z' + 4 '-y, x, -z' + 5 'x, -y, -z' + 6 'y, x, z' + 7 '-x, y, -z' + 8 '-y, -x, z' + 9 'z, x, y' + 10 '-z, y, -x' + 11 'z, -x, -y' + 12 '-z, -y, x' + 13 '-z, x, -y' + 14 'z, y, x' + 15 '-z, -x, y' + 16 'z, -y, -x' + 17 'y, z, x' + 18 '-x, -z, y' + 19 '-y, z, -x' + 20 'x, -z, -y' + 21 '-y, -z, x' + 22 'x, z, y' + 23 'y, -z, -x' + 24 '-x, z, -y' + 25 'x+1/2, y+1/2, z' + 26 'y+1/2, -x+1/2, -z' + 27 '-x+1/2, -y+1/2, z' + 28 '-y+1/2, x+1/2, -z' + 29 'x+1/2, -y+1/2, -z' + 30 'y+1/2, x+1/2, z' + 31 '-x+1/2, y+1/2, -z' + 32 '-y+1/2, -x+1/2, z' + 33 'z+1/2, x+1/2, y' + 34 '-z+1/2, y+1/2, -x' + 35 'z+1/2, -x+1/2, -y' + 36 '-z+1/2, -y+1/2, x' + 37 '-z+1/2, x+1/2, -y' + 38 'z+1/2, y+1/2, x' + 39 '-z+1/2, -x+1/2, y' + 40 'z+1/2, -y+1/2, -x' + 41 'y+1/2, z+1/2, x' + 42 '-x+1/2, -z+1/2, y' + 43 '-y+1/2, z+1/2, -x' + 44 'x+1/2, -z+1/2, -y' + 45 '-y+1/2, -z+1/2, x' + 46 'x+1/2, z+1/2, y' + 47 'y+1/2, -z+1/2, -x' + 48 '-x+1/2, z+1/2, -y' + 49 'x+1/2, y, z+1/2' + 50 'y+1/2, -x, -z+1/2' + 51 '-x+1/2, -y, z+1/2' + 52 '-y+1/2, x, -z+1/2' + 53 'x+1/2, -y, -z+1/2' + 54 'y+1/2, x, z+1/2' + 55 '-x+1/2, y, -z+1/2' + 56 '-y+1/2, -x, z+1/2' + 57 'z+1/2, x, y+1/2' + 58 '-z+1/2, y, -x+1/2' + 59 'z+1/2, -x, -y+1/2' + 60 '-z+1/2, -y, x+1/2' + 61 '-z+1/2, x, -y+1/2' + 62 'z+1/2, y, x+1/2' + 63 '-z+1/2, -x, y+1/2' + 64 'z+1/2, -y, -x+1/2' + 65 'y+1/2, z, x+1/2' + 66 '-x+1/2, -z, y+1/2' + 67 '-y+1/2, z, -x+1/2' + 68 'x+1/2, -z, -y+1/2' + 69 '-y+1/2, -z, x+1/2' + 70 'x+1/2, z, y+1/2' + 71 'y+1/2, -z, -x+1/2' + 72 '-x+1/2, z, -y+1/2' + 73 'x, y+1/2, z+1/2' + 74 'y, -x+1/2, -z+1/2' + 75 '-x, -y+1/2, z+1/2' + 76 '-y, x+1/2, -z+1/2' + 77 'x, -y+1/2, -z+1/2' + 78 'y, x+1/2, z+1/2' + 79 '-x, y+1/2, -z+1/2' + 80 '-y, -x+1/2, z+1/2' + 81 'z, x+1/2, y+1/2' + 82 '-z, y+1/2, -x+1/2' + 83 'z, -x+1/2, -y+1/2' + 84 '-z, -y+1/2, x+1/2' + 85 '-z, x+1/2, -y+1/2' + 86 'z, y+1/2, x+1/2' + 87 '-z, -x+1/2, y+1/2' + 88 'z, -y+1/2, -x+1/2' + 89 'y, z+1/2, x+1/2' + 90 '-x, -z+1/2, y+1/2' + 91 '-y, z+1/2, -x+1/2' + 92 'x, -z+1/2, -y+1/2' + 93 '-y, -z+1/2, x+1/2' + 94 'x, z+1/2, y+1/2' + 95 'y, -z+1/2, -x+1/2' + 96 '-x, z+1/2, -y+1/2' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + As3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 4 0.25000000 0.25000000 0.25000000 1 + As3- As1 4 0.00000000 0.00000000 0.00000000 1 diff --git a/raw_data/material/M004/BP.cif b/raw_data/material/M004/BP.cif new file mode 100644 index 0000000000000000000000000000000000000000..05ffda1cb2a60173f3b37afd1f52a4483315ff9d --- /dev/null +++ b/raw_data/material/M004/BP.cif @@ -0,0 +1,39 @@ +# generated using pymatgen +data_BP +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.53214477 +_cell_length_b 4.53214477 +_cell_length_c 4.53214477 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural BP +_chemical_formula_sum 'B4 P4' +_cell_volume 93.09177730 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + B3+ 3.0 + P3- -3.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + B3+ B0 1 0.00000000 0.00000000 0.00000000 1 + B3+ B1 1 0.00000000 0.50000000 0.50000000 1 + B3+ B2 1 0.50000000 0.00000000 0.50000000 1 + B3+ B3 1 0.50000000 0.50000000 0.00000000 1 + P3- P4 1 0.25000000 0.75000000 0.75000000 1 + P3- P5 1 0.25000000 0.25000000 0.25000000 1 + P3- P6 1 0.75000000 0.75000000 0.25000000 1 + P3- P7 1 0.75000000 0.25000000 0.75000000 1 diff --git a/raw_data/material/M004/BaTe.cif b/raw_data/material/M004/BaTe.cif new file mode 100644 index 0000000000000000000000000000000000000000..eff9e33d4715ef58418d06eb2ecbbf2355f4e697 --- /dev/null +++ b/raw_data/material/M004/BaTe.cif @@ -0,0 +1,39 @@ +# generated using pymatgen +data_BaTe +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 7.08983954 +_cell_length_b 7.08983954 +_cell_length_c 7.08983954 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural BaTe +_chemical_formula_sum 'Ba4 Te4' +_cell_volume 356.37663148 +_cell_formula_units_Z 4 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Ba2+ 2.0 + Te2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Ba2+ Ba0 1 0.00000000 0.00000000 0.00000000 1 + Ba2+ Ba1 1 0.00000000 0.50000000 0.50000000 1 + Ba2+ Ba2 1 0.50000000 0.00000000 0.50000000 1 + Ba2+ Ba3 1 0.50000000 0.50000000 0.00000000 1 + Te2- Te4 1 0.00000000 0.00000000 0.50000000 1 + Te2- Te5 1 0.00000000 0.50000000 0.00000000 1 + Te2- Te6 1 0.50000000 0.00000000 0.00000000 1 + Te2- Te7 1 0.50000000 0.50000000 0.50000000 1 diff --git a/raw_data/material/M004/SnO2.cif b/raw_data/material/M004/SnO2.cif new file mode 100644 index 0000000000000000000000000000000000000000..033eb6118e7601ce70472d97ba55c33398d2fad9 --- /dev/null +++ b/raw_data/material/M004/SnO2.cif @@ -0,0 +1,37 @@ +# generated using pymatgen +data_SnO2 +_symmetry_space_group_name_H-M 'P 1' +_cell_length_a 4.76481805 +_cell_length_b 4.76481805 +_cell_length_c 3.20749977 +_cell_angle_alpha 90.00000000 +_cell_angle_beta 90.00000000 +_cell_angle_gamma 90.00000000 +_symmetry_Int_Tables_number 1 +_chemical_formula_structural SnO2 +_chemical_formula_sum 'Sn2 O4' +_cell_volume 72.82144217 +_cell_formula_units_Z 2 +loop_ + _symmetry_equiv_pos_site_id + _symmetry_equiv_pos_as_xyz + 1 'x, y, z' +loop_ + _atom_type_symbol + _atom_type_oxidation_number + Sn4+ 4.0 + O2- -2.0 +loop_ + _atom_site_type_symbol + _atom_site_label + _atom_site_symmetry_multiplicity + _atom_site_fract_x + _atom_site_fract_y + _atom_site_fract_z + _atom_site_occupancy + Sn4+ Sn0 1 0.50000000 0.50000000 0.50000000 1 + Sn4+ Sn1 1 0.00000000 0.00000000 0.00000000 1 + O2- O2 1 0.80597230 0.19402771 0.50000000 1 + O2- O3 1 0.19402771 0.80597230 0.50000000 1 + O2- O4 1 0.30597230 0.30597230 0.00000000 1 + O2- O5 1 0.69402770 0.69402770 0.00000000 1 diff --git a/raw_data/material/M006/phase_diagram_vis_mp.py b/raw_data/material/M006/phase_diagram_vis_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..98bcf47fb43db9e70d6c8cd72414bceb18b28654 --- /dev/null +++ b/raw_data/material/M006/phase_diagram_vis_mp.py @@ -0,0 +1,40 @@ +import os + +from matminer.datasets import load_dataset +from mp_api.client import MPRester + +import pymatviz as pmv +from pymatviz.structure_viz import structure_2d_plotly, structure_2d +from pymatviz.enums import ElemColorScheme, Key +from pymatgen.analysis.phase_diagram import PhaseDiagram, PDPlotter +from pymatgen.entries.mixing_scheme import MaterialsProjectDFTMixingScheme + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from tqdm import tqdm + +MP_API_KEY = "" +MID = ["mp-353", "mp-661", "mp-856", "mp-1000", "mp-1479", "mp-2284", "mp-2294", "mp-10044", "mp-10086", "mp-10910", "mp-18905", "mp-23231", "mp-36526", "mp-861883", "mp-862786"] + + +for mid in MID: + if os.path.exists(f"{mid}-phase-diagram.png"): + print(f"{mid}-phase-diagram.png already exists, skipping...") + continue + + with MPRester(MP_API_KEY) as mpr: + all_elements = set() + structure = mpr.get_structure_by_material_id(mid) + all_elements.update([str(el) for el in structure.composition.elements]) + entries = mpr.get_entries_in_chemsys(elements=list(all_elements), + additional_criteria={"thermo_types": ["GGA_GGA+U", "R2SCAN"]}) + + scheme = MaterialsProjectDFTMixingScheme() + corrected_entries = scheme.process_entries(entries) + + pd = PhaseDiagram(corrected_entries) + + fig = PDPlotter(pd).get_plot() + fig.layout.paper_bgcolor = "rgba(255, 255, 255, 1.0)" + fig.write_image(f"{mid}-phase-diagram.png", scale=2) diff --git a/raw_data/material/M008/electronic_bands_dos_vis_mp.py b/raw_data/material/M008/electronic_bands_dos_vis_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..acdd871fbfaa43e3d98e44072522bd64ad92a4cc --- /dev/null +++ b/raw_data/material/M008/electronic_bands_dos_vis_mp.py @@ -0,0 +1,33 @@ +import os + +from matminer.datasets import load_dataset +from mp_api.client import MPRester + +import pymatviz as pmv +from pymatviz.structure_viz import structure_2d_plotly, structure_2d +from pymatviz.enums import ElemColorScheme, Key + +from pymatgen.electronic_structure.plotter import BSDOSPlotter + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from tqdm import tqdm + +MP_API_KEY = "" +MID = ["mp-353", "mp-661", "mp-856", "mp-1000", "mp-1479", "mp-2284", "mp-2294", "mp-10044", "mp-10086", "mp-10910", "mp-18905", "mp-23231", "mp-36526", "mp-861883", "mp-862786"] + +for mid in MID: + if os.path.exists(f"{mid}-eb-dos.png"): + print(f"{mid}-eb-dos.png already exists, skipping...") + continue + + with MPRester(MP_API_KEY) as mpr: + bs = mpr.get_bandstructure_by_material_id(mid) + dos = mpr.get_dos_by_material_id(mid) + + plotter = BSDOSPlotter(cb_energy_range=8) + fig = plt.figure() + fig = plotter.get_plot(bs, dos) + plt.tight_layout() + plt.savefig(f"{mid}-eb-dos.png", dpi=300, bbox_inches="tight") diff --git a/raw_data/material/M010/electronic_bands_dos_vis_mp.py b/raw_data/material/M010/electronic_bands_dos_vis_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..acdd871fbfaa43e3d98e44072522bd64ad92a4cc --- /dev/null +++ b/raw_data/material/M010/electronic_bands_dos_vis_mp.py @@ -0,0 +1,33 @@ +import os + +from matminer.datasets import load_dataset +from mp_api.client import MPRester + +import pymatviz as pmv +from pymatviz.structure_viz import structure_2d_plotly, structure_2d +from pymatviz.enums import ElemColorScheme, Key + +from pymatgen.electronic_structure.plotter import BSDOSPlotter + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from tqdm import tqdm + +MP_API_KEY = "" +MID = ["mp-353", "mp-661", "mp-856", "mp-1000", "mp-1479", "mp-2284", "mp-2294", "mp-10044", "mp-10086", "mp-10910", "mp-18905", "mp-23231", "mp-36526", "mp-861883", "mp-862786"] + +for mid in MID: + if os.path.exists(f"{mid}-eb-dos.png"): + print(f"{mid}-eb-dos.png already exists, skipping...") + continue + + with MPRester(MP_API_KEY) as mpr: + bs = mpr.get_bandstructure_by_material_id(mid) + dos = mpr.get_dos_by_material_id(mid) + + plotter = BSDOSPlotter(cb_energy_range=8) + fig = plt.figure() + fig = plotter.get_plot(bs, dos) + plt.tight_layout() + plt.savefig(f"{mid}-eb-dos.png", dpi=300, bbox_inches="tight") diff --git a/raw_data/material/M020/xrd_vis_mp.py b/raw_data/material/M020/xrd_vis_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..b76a0e0e17d4f6d964eddda40a3bcc438cdb4358 --- /dev/null +++ b/raw_data/material/M020/xrd_vis_mp.py @@ -0,0 +1,97 @@ +import os + +from matminer.datasets import load_dataset +from mp_api.client import MPRester +from pymatgen.analysis.diffraction.xrd import XRDCalculator + +import pymatviz as pmv +from pymatviz.enums import ElemColorScheme, Key +from pymatgen.symmetry.analyzer import SpacegroupAnalyzer + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from tqdm import tqdm + +MP_API_KEY = "" +MID = ["mp-353", "mp-661", "mp-856", "mp-1000", "mp-1479", "mp-2284", "mp-2294", "mp-10044", "mp-10086", "mp-10910", "mp-18905", "mp-23231", "mp-36526", "mp-861883", "mp-862786"] + +xrd_calculator = XRDCalculator(wavelength='CuKa') +patterns = {} + +for mid in tqdm(MID): + # if os.path.exists(f"{mid}-xrd.png"): + # print(f"{mid}-xrd.png already exists, skipping...") + # continue + + with MPRester(MP_API_KEY) as mpr: + structure = mpr.get_structure_by_material_id(mid) + + sga = SpacegroupAnalyzer(structure) + conventional_structure = sga.get_conventional_standard_structure() + + xrd_pattern = xrd_calculator.get_pattern(conventional_structure, scaled=False) + patterns[mid] = xrd_pattern + + plt.figure(figsize=(12, 6)) + bar_width = 0.5 + x = xrd_pattern.x + y = xrd_pattern.y / np.max(xrd_pattern.y) * 100 + plt.bar(x, y, width=bar_width, color='black') + + plt.xlabel('2 Theta (degrees)', fontsize=14) + plt.ylabel('Intensity (a.u.)', fontsize=14) + + plt.xticks(fontsize=12) + plt.yticks(fontsize=12) + + plt.grid(axis='y', linestyle='--', alpha=0.7) + + plt.gca().spines['top'].set_linewidth(0.5) + plt.gca().spines['right'].set_linewidth(0.5) + + plt.tight_layout() + plt.savefig(f"{mid}-xrd.png", dpi=300, bbox_inches='tight') + plt.close() + + +for _ in tqdm(range(5)): + mids = np.random.choice(MID, 3, replace=False) + mids = sorted(mids) + + combined_pattern = {} + for mid in mids: + pattern = patterns[mid] + for two_theta, intensity in zip(pattern.x, pattern.y): + if two_theta in combined_pattern: + combined_pattern[two_theta] += intensity + else: + combined_pattern[two_theta] = intensity + + combined_pattern_list = [(k, v) for k, v in combined_pattern.items()] + combined_pattern_list.sort(key=lambda x: x[0]) + x = np.array([item[0] for item in combined_pattern_list]) + y = np.array([item[1] for item in combined_pattern_list]) + y = y / np.max(y) * 100 + + plt.figure(figsize=(12, 6)) + bar_width = 0.5 + plt.bar(x, y, width=bar_width, color='black') + + plt.xlabel('2 Theta (degrees)', fontsize=14) + plt.ylabel('Intensity (a.u.)', fontsize=14) + + plt.xticks(fontsize=12) + plt.yticks(fontsize=12) + + plt.grid(axis='y', linestyle='--', alpha=0.7) + + plt.gca().spines['top'].set_linewidth(0.5) + plt.gca().spines['right'].set_linewidth(0.5) + + plt.tight_layout() + plt.savefig(f"{'_'.join(mids)}-xrd.png", dpi=300, bbox_inches='tight') + plt.close() + + + diff --git a/raw_data/material/M021/xrd_vis_mp.py b/raw_data/material/M021/xrd_vis_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..b76a0e0e17d4f6d964eddda40a3bcc438cdb4358 --- /dev/null +++ b/raw_data/material/M021/xrd_vis_mp.py @@ -0,0 +1,97 @@ +import os + +from matminer.datasets import load_dataset +from mp_api.client import MPRester +from pymatgen.analysis.diffraction.xrd import XRDCalculator + +import pymatviz as pmv +from pymatviz.enums import ElemColorScheme, Key +from pymatgen.symmetry.analyzer import SpacegroupAnalyzer + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from tqdm import tqdm + +MP_API_KEY = "" +MID = ["mp-353", "mp-661", "mp-856", "mp-1000", "mp-1479", "mp-2284", "mp-2294", "mp-10044", "mp-10086", "mp-10910", "mp-18905", "mp-23231", "mp-36526", "mp-861883", "mp-862786"] + +xrd_calculator = XRDCalculator(wavelength='CuKa') +patterns = {} + +for mid in tqdm(MID): + # if os.path.exists(f"{mid}-xrd.png"): + # print(f"{mid}-xrd.png already exists, skipping...") + # continue + + with MPRester(MP_API_KEY) as mpr: + structure = mpr.get_structure_by_material_id(mid) + + sga = SpacegroupAnalyzer(structure) + conventional_structure = sga.get_conventional_standard_structure() + + xrd_pattern = xrd_calculator.get_pattern(conventional_structure, scaled=False) + patterns[mid] = xrd_pattern + + plt.figure(figsize=(12, 6)) + bar_width = 0.5 + x = xrd_pattern.x + y = xrd_pattern.y / np.max(xrd_pattern.y) * 100 + plt.bar(x, y, width=bar_width, color='black') + + plt.xlabel('2 Theta (degrees)', fontsize=14) + plt.ylabel('Intensity (a.u.)', fontsize=14) + + plt.xticks(fontsize=12) + plt.yticks(fontsize=12) + + plt.grid(axis='y', linestyle='--', alpha=0.7) + + plt.gca().spines['top'].set_linewidth(0.5) + plt.gca().spines['right'].set_linewidth(0.5) + + plt.tight_layout() + plt.savefig(f"{mid}-xrd.png", dpi=300, bbox_inches='tight') + plt.close() + + +for _ in tqdm(range(5)): + mids = np.random.choice(MID, 3, replace=False) + mids = sorted(mids) + + combined_pattern = {} + for mid in mids: + pattern = patterns[mid] + for two_theta, intensity in zip(pattern.x, pattern.y): + if two_theta in combined_pattern: + combined_pattern[two_theta] += intensity + else: + combined_pattern[two_theta] = intensity + + combined_pattern_list = [(k, v) for k, v in combined_pattern.items()] + combined_pattern_list.sort(key=lambda x: x[0]) + x = np.array([item[0] for item in combined_pattern_list]) + y = np.array([item[1] for item in combined_pattern_list]) + y = y / np.max(y) * 100 + + plt.figure(figsize=(12, 6)) + bar_width = 0.5 + plt.bar(x, y, width=bar_width, color='black') + + plt.xlabel('2 Theta (degrees)', fontsize=14) + plt.ylabel('Intensity (a.u.)', fontsize=14) + + plt.xticks(fontsize=12) + plt.yticks(fontsize=12) + + plt.grid(axis='y', linestyle='--', alpha=0.7) + + plt.gca().spines['top'].set_linewidth(0.5) + plt.gca().spines['right'].set_linewidth(0.5) + + plt.tight_layout() + plt.savefig(f"{'_'.join(mids)}-xrd.png", dpi=300, bbox_inches='tight') + plt.close() + + + diff --git a/raw_data/material/M022/xrd_vis_mp.py b/raw_data/material/M022/xrd_vis_mp.py new file mode 100644 index 0000000000000000000000000000000000000000..b76a0e0e17d4f6d964eddda40a3bcc438cdb4358 --- /dev/null +++ b/raw_data/material/M022/xrd_vis_mp.py @@ -0,0 +1,97 @@ +import os + +from matminer.datasets import load_dataset +from mp_api.client import MPRester +from pymatgen.analysis.diffraction.xrd import XRDCalculator + +import pymatviz as pmv +from pymatviz.enums import ElemColorScheme, Key +from pymatgen.symmetry.analyzer import SpacegroupAnalyzer + +import matplotlib.pyplot as plt +import numpy as np +import pandas as pd +from tqdm import tqdm + +MP_API_KEY = "" +MID = ["mp-353", "mp-661", "mp-856", "mp-1000", "mp-1479", "mp-2284", "mp-2294", "mp-10044", "mp-10086", "mp-10910", "mp-18905", "mp-23231", "mp-36526", "mp-861883", "mp-862786"] + +xrd_calculator = XRDCalculator(wavelength='CuKa') +patterns = {} + +for mid in tqdm(MID): + # if os.path.exists(f"{mid}-xrd.png"): + # print(f"{mid}-xrd.png already exists, skipping...") + # continue + + with MPRester(MP_API_KEY) as mpr: + structure = mpr.get_structure_by_material_id(mid) + + sga = SpacegroupAnalyzer(structure) + conventional_structure = sga.get_conventional_standard_structure() + + xrd_pattern = xrd_calculator.get_pattern(conventional_structure, scaled=False) + patterns[mid] = xrd_pattern + + plt.figure(figsize=(12, 6)) + bar_width = 0.5 + x = xrd_pattern.x + y = xrd_pattern.y / np.max(xrd_pattern.y) * 100 + plt.bar(x, y, width=bar_width, color='black') + + plt.xlabel('2 Theta (degrees)', fontsize=14) + plt.ylabel('Intensity (a.u.)', fontsize=14) + + plt.xticks(fontsize=12) + plt.yticks(fontsize=12) + + plt.grid(axis='y', linestyle='--', alpha=0.7) + + plt.gca().spines['top'].set_linewidth(0.5) + plt.gca().spines['right'].set_linewidth(0.5) + + plt.tight_layout() + plt.savefig(f"{mid}-xrd.png", dpi=300, bbox_inches='tight') + plt.close() + + +for _ in tqdm(range(5)): + mids = np.random.choice(MID, 3, replace=False) + mids = sorted(mids) + + combined_pattern = {} + for mid in mids: + pattern = patterns[mid] + for two_theta, intensity in zip(pattern.x, pattern.y): + if two_theta in combined_pattern: + combined_pattern[two_theta] += intensity + else: + combined_pattern[two_theta] = intensity + + combined_pattern_list = [(k, v) for k, v in combined_pattern.items()] + combined_pattern_list.sort(key=lambda x: x[0]) + x = np.array([item[0] for item in combined_pattern_list]) + y = np.array([item[1] for item in combined_pattern_list]) + y = y / np.max(y) * 100 + + plt.figure(figsize=(12, 6)) + bar_width = 0.5 + plt.bar(x, y, width=bar_width, color='black') + + plt.xlabel('2 Theta (degrees)', fontsize=14) + plt.ylabel('Intensity (a.u.)', fontsize=14) + + plt.xticks(fontsize=12) + plt.yticks(fontsize=12) + + plt.grid(axis='y', linestyle='--', alpha=0.7) + + plt.gca().spines['top'].set_linewidth(0.5) + plt.gca().spines['right'].set_linewidth(0.5) + + plt.tight_layout() + plt.savefig(f"{'_'.join(mids)}-xrd.png", dpi=300, bbox_inches='tight') + plt.close() + + +