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# Copyright 2022 by Michiel de Hoon. All rights reserved.
#
# This file is part of the Biopython distribution and governed by your
# choice of the "Biopython License Agreement" or the "BSD 3-Clause License".
# Please see the LICENSE file that should have been included as part of this
# package.
"""Bio.Align support for Exonerate output format.
This module provides support for Exonerate outputs. Exonerate is a generic
tool for pairwise sequence comparison that allows you to align sequences using
several different models.
Bio.Align.exonerate was tested on the following Exonerate versions and models:
- version: 2.2
- models:
- affine:local - cdna2genome
- coding2coding - est2genome
- genome2genome - ner
- protein2dna - protein2genome
- ungapped - ungapped:translated
Although model testing were not exhaustive, the parser should be able to cope
with all Exonerate models. Please file a bug report if you stumble upon an
unparsable file.
You are expected to use this module via the Bio.Align functions.
"""
import numpy
from Bio.Align import Alignment
from Bio.Align import interfaces
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
class AlignmentWriter(interfaces.AlignmentWriter):
"""Alignment file writer for the Exonerate cigar and vulgar file format."""
fmt = "Exonerate"
def __init__(self, target, fmt="vulgar"):
"""Create an AlignmentWriter object.
Arguments:
- target - output stream or file name
- fmt - write alignments in the vulgar (Verbose Useful Labelled
Gapped Alignment Report) format (fmt="vulgar") or in
the cigar (Compact Idiosyncratic Gapped Alignment Report)
format (fmt="cigar").
Default value is 'vulgar'.
"""
super().__init__(target)
if fmt == "vulgar":
self.format_alignment = self._format_alignment_vulgar
elif fmt == "cigar":
self.format_alignment = self._format_alignment_cigar
else:
raise ValueError(
"argument fmt should be 'vulgar' or 'cigar' (received %s)" % fmt
)
def write_header(self, alignments):
"""Write the header."""
try:
metadata = alignments.metadata
except AttributeError:
commandline = ""
hostname = ""
else:
commandline = metadata.get("Command line", "")
hostname = metadata.get("Hostname", "")
self.stream.write(f"Command line: [{commandline}]\n")
self.stream.write(f"Hostname: [{hostname}]\n")
def write_footer(self):
"""Write the footer."""
self.stream.write("-- completed exonerate analysis\n")
def _format_alignment_cigar(self, alignment):
"""Return a string with a single alignment formatted as a cigar line."""
if not isinstance(alignment, Alignment):
raise TypeError("Expected an Alignment object")
coordinates = alignment.coordinates
target_start = coordinates[0, 0]
target_end = coordinates[0, -1]
query_start = coordinates[1, 0]
query_end = coordinates[1, -1]
steps = numpy.diff(coordinates)
query = alignment.query
target = alignment.target
try:
query_id = query.id
except AttributeError:
query_id = "query"
try:
target_id = target.id
except AttributeError:
target_id = "target"
try:
target_molecule_type = target.annotations["molecule_type"]
except (AttributeError, KeyError):
target_molecule_type = None
if target_molecule_type == "protein":
target_strand = "."
elif target_start <= target_end:
target_strand = "+"
elif target_start > target_end:
target_strand = "-"
steps[0, :] = -steps[0, :]
try:
query_molecule_type = query.annotations["molecule_type"]
except (AttributeError, KeyError):
query_molecule_type = None
if query_molecule_type == "protein":
query_strand = "."
elif query_start <= query_end:
query_strand = "+"
elif query_start > query_end:
query_strand = "-"
steps[1, :] = -steps[1, :]
score = format(alignment.score, "g")
words = [
"cigar:",
query_id,
str(query_start),
str(query_end),
query_strand,
target_id,
str(target_start),
str(target_end),
target_strand,
score,
]
try:
operations = alignment.operations
except AttributeError:
for step in steps.transpose():
target_step, query_step = step
if target_step == query_step:
operation = "M"
step = target_step
elif query_step == 0:
operation = "D" # Deletion
step = target_step
elif target_step == 0:
operation = "I" # Insertion
step = query_step
elif (
target_molecule_type != "protein"
and query_molecule_type == "protein"
):
operation = "M"
step = target_step
elif (
target_molecule_type == "protein"
and query_molecule_type != "protein"
):
operation = "M"
step = query_step
else:
raise ValueError(
"Unexpected step target %d, query %d for molecule type %s, %s"
% (
target_step,
query_step,
target_molecule_type,
query_molecule_type,
)
)
words.append(operation)
words.append(str(step))
else:
for step, operation in zip(steps.transpose(), operations.decode()):
target_step, query_step = step
if operation == "M":
if target_step == query_step:
step = target_step
elif target_step == 3 * query_step:
step = target_step
assert query_molecule_type == "protein"
assert target_molecule_type != "protein"
elif query_step == 3 * target_step:
step = query_step
assert query_molecule_type != "protein"
assert target_molecule_type == "protein"
else:
raise ValueError(
"Unexpected steps target %d, query %s for operation 'M'"
)
elif operation == "5": # 5' splice site
if query_step == 0:
step = target_step
operation = "D"
elif target_step == 0:
step = query_step
operation = "I"
else:
assert query_step == target_step
step = target_step
operation = "M"
elif operation == "N": # Intron
if query_step == 0:
step = target_step
operation = "D"
elif target_step == 0:
step = query_step
operation = "I"
else:
raise ValueError(
"Unexpected intron with steps target %d, query %d"
% (target_step, query_step)
)
elif operation == "3": # 3' splice site
if query_step == 0:
step = target_step
operation = "D"
elif target_step == 0:
step = query_step
operation = "I"
else:
assert query_step == target_step
step = target_step
operation = "M"
elif operation == "C": # Codon
assert target_step == query_step
step = target_step
operation = "M"
elif operation == "D": # Deletion
assert query_step == 0
step = target_step
operation = "D"
elif operation == "I": # Insertion
assert target_step == 0
step = query_step
elif operation == "U": # Non-equivalenced (unaligned) region
if target_step > 0:
operation = "D"
words.append(operation)
words.append(str(target_step))
if query_step > 0:
operation = "I"
words.append(operation)
words.append(str(query_step))
continue
elif operation == "S": # Split codon
if target_step > 0:
operation = "D"
words.append(operation)
words.append(str(target_step))
if query_step > 0:
operation = "I"
words.append(operation)
words.append(str(query_step))
continue
elif operation == "F": # Frame shift
if target_step == 0:
step = query_step
operation = "I"
elif query_step == 0:
step = target_step
operation = "D"
else:
raise ValueError("Expected target step or query step to be 0")
else:
raise ValueError("Unknown operation %s" % operation)
words.append(operation)
words.append(str(step))
line = " ".join(words) + "\n"
return line
def _format_alignment_vulgar(self, alignment):
"""Return a string with a single alignment formatted as one vulgar line."""
if not isinstance(alignment, Alignment):
raise TypeError("Expected an Alignment object")
coordinates = alignment.coordinates
target_start = coordinates[0, 0]
target_end = coordinates[0, -1]
query_start = coordinates[1, 0]
query_end = coordinates[1, -1]
steps = numpy.diff(coordinates)
query = alignment.query
target = alignment.target
try:
query_id = query.id
except AttributeError:
query_id = "query"
try:
target_id = target.id
except AttributeError:
target_id = "target"
try:
target_molecule_type = target.annotations["molecule_type"]
except (AttributeError, KeyError):
target_molecule_type = None
if target_molecule_type == "protein":
target_strand = "."
elif target_start <= target_end:
target_strand = "+"
elif target_start > target_end:
target_strand = "-"
steps[0, :] = -steps[0, :]
try:
query_molecule_type = query.annotations["molecule_type"]
except (AttributeError, KeyError):
query_molecule_type = None
if query_molecule_type == "protein":
query_strand = "."
elif query_start <= query_end:
query_strand = "+"
elif query_start > query_end:
query_strand = "-"
steps[1, :] = -steps[1, :]
score = format(alignment.score, "g")
words = [
"vulgar:",
query_id,
str(query_start),
str(query_end),
query_strand,
target_id,
str(target_start),
str(target_end),
target_strand,
str(score),
]
try:
operations = alignment.operations
except AttributeError:
for step in steps.transpose():
target_step, query_step = step
if target_step == query_step:
operation = "M"
elif query_step == 0:
operation = "G" # Gap; exonerate definition
elif target_step == 0:
operation = "G" # Gap; exonerate definition
elif (
query_molecule_type == "protein"
and target_molecule_type != "protein"
):
operation = "M"
elif (
query_molecule_type != "protein"
and target_molecule_type == "protein"
):
operation = "M"
else:
raise ValueError("Both target and query step are zero")
words.append(operation)
words.append(str(query_step))
words.append(str(target_step))
else:
steps = steps.transpose()
operations = operations.decode()
n = len(operations)
i = 0
while i < n:
target_step, query_step = steps[i]
operation = operations[i]
if operation == "M":
if target_step == query_step:
pass
elif target_step == 3 * query_step:
assert query_molecule_type == "protein"
assert target_molecule_type != "protein"
elif query_step == 3 * target_step:
assert query_molecule_type != "protein"
assert target_molecule_type == "protein"
else:
raise ValueError(
"Unexpected steps target %d, query %d for operation 'M'"
% (target_step, query_step)
)
elif operation == "5": # 5' splice site
assert target_step == 2 or query_step == 2
elif operation == "N": # Intron
operation = "I" # Intron; exonerate definition
assert query_step == 0 or target_step == 0
elif operation == "3": # 3' splice site
assert target_step == 2 or query_step == 2
elif operation == "C": # Codon
assert target_step == query_step
elif operation == "D": # Deletion
assert query_step == 0
operation = "G" # Gap; exonerate definition
elif operation == "I": # Insertion
assert target_step == 0
operation = "G" # Gap; exonerate definition
elif operation == "U": # Non-equivalenced (unaligned) region
if target_step == 0:
assert query_step > 0
i += 1
target_step, dummy = steps[i]
assert dummy == 0
if query_step == 0:
assert target_step > 0
i += 1
dummy, query_step = steps[i]
assert dummy == 0
operation = operations[i]
assert operation == "U"
operation = "N" # Non-equivalenced region; exonerate definition
elif operation == "S": # Split codon
step = target_step
elif operation == "F": # Frame shift
step = target_step
else:
raise ValueError("Unknown operation %s" % operation)
words.append(operation)
words.append(str(query_step))
words.append(str(target_step))
i += 1
line = " ".join(words) + "\n"
return line
class AlignmentIterator(interfaces.AlignmentIterator):
"""Alignment iterator for the Exonerate text, cigar, and vulgar formats.
Each line in the file contains one pairwise alignment, which are loaded
and returned incrementally. Alignment score information such as the number
of matches and mismatches are stored as attributes of each alignment.
"""
fmt = "Exonerate"
def _read_header(self, stream):
self.metadata = {}
self.metadata["Program"] = "exonerate"
line = next(stream)
prefix = "Command line: "
assert line.startswith(prefix)
commandline = line[len(prefix) :].strip()
assert commandline.startswith("[")
assert commandline.endswith("]")
self.metadata["Command line"] = commandline[1:-1]
line = next(stream)
prefix = "Hostname: "
assert line.startswith(prefix)
hostname = line[len(prefix) :].strip()
assert hostname.startswith("[")
assert hostname.endswith("]")
self.metadata["Hostname"] = hostname[1:-1]
@staticmethod
def _parse_cigar(words):
query_id = words[0]
query_start = int(words[1])
query_end = int(words[2])
query_strand = words[3]
target_id = words[4]
target_start = int(words[5])
target_end = int(words[6])
target_strand = words[7]
score = float(words[8])
target_seq = Seq(None, length=target_end)
query_seq = Seq(None, length=query_end)
target = SeqRecord(target_seq, id=target_id, description="")
query = SeqRecord(query_seq, id=query_id, description="")
qs = 0
ts = 0
n = (len(words) - 8) // 2
coordinates = numpy.empty((2, n + 1), int)
coordinates[0, 0] = ts
coordinates[1, 0] = qs
for i, (operation, step) in enumerate(zip(words[9::2], words[10::2])):
step = int(step)
if operation == "M": # match or mismatch
ts += step
qs += step
elif operation == "I": # insertion
if query_strand == "." and target_strand != ".":
qs += step * 3
else:
qs += step
elif operation == "D": # deletion
if target_strand == "." and query_strand != ".":
ts += step * 3
else:
ts += step
else:
raise ValueError("Unknown operation %s in cigar string" % operation)
coordinates[0, i + 1] = ts
coordinates[1, i + 1] = qs
if target_strand == "+":
coordinates[0, :] += target_start
elif target_strand == "-":
coordinates[0, :] = target_start - coordinates[0, :]
elif target_strand == ".": # protein
if query_strand != ".":
# dna to protein alignment; integer division, but round up:
coordinates[0, :] = (coordinates[0, :] + 2) // 3
coordinates[0, :] += target_start
target.annotations["molecule_type"] = "protein"
if query_strand == "+":
coordinates[1, :] += query_start
elif query_strand == "-":
coordinates[1, :] = query_start - coordinates[1, :]
elif query_strand == ".": # protein
if target_strand != ".":
# protein to dna alignment; integer division, but round up:
coordinates[1, :] = -(coordinates[1, :] // -3)
coordinates[1, :] += query_start
query.annotations["molecule_type"] = "protein"
alignment = Alignment([target, query], coordinates)
alignment.score = score
return alignment
@staticmethod
def _parse_vulgar(words):
query_id = words[0]
query_start = int(words[1])
query_end = int(words[2])
query_strand = words[3]
target_id = words[4]
target_start = int(words[5])
target_end = int(words[6])
target_strand = words[7]
score = float(words[8])
target_seq = Seq(None, length=target_end)
query_seq = Seq(None, length=query_end)
target = SeqRecord(target_seq, id=target_id, description="")
query = SeqRecord(query_seq, id=query_id, description="")
ops = words[9::3]
qs = 0
ts = 0
n = (len(words) - 8) // 3 + ops.count("N")
coordinates = numpy.empty((2, n + 1), int)
coordinates[0, 0] = ts
coordinates[1, 0] = qs
operations = bytearray(n)
i = 0
for (operation, query_step, target_step) in zip(
ops, words[10::3], words[11::3]
):
query_step = int(query_step)
target_step = int(target_step)
if operation == "M": # Match
pass
elif operation == "5": # 5' splice site
assert target_step == 2 or query_step == 2
elif operation == "I": # Intron
# use SAM/BAM definitions of operations:
operation = "N"
elif operation == "3": # 3' splice site
assert target_step == 2 or query_step == 2
elif operation == "C": # Codon
assert target_step % 3 == 0
assert query_step % 3 == 0
elif operation == "G": # Gap
# use SAM/BAM definitions of operations:
if query_step == 0:
operation = "D" # Deletion
elif target_step == 0:
operation = "I" # Insertion
else:
raise ValueError(
"Unexpected gap operation with steps %d, %d in vulgar line"
% (query_step, target_step)
)
elif operation == "N": # Non-equivalenced (unaligned) region
operation = "U" # 'N' is alread used for introns in SAM/BAM
if target_step > 0:
ts += target_step
coordinates[0, i + 1] = ts
coordinates[1, i + 1] = qs
operations[i] = ord(operation)
i += 1
if query_step > 0:
qs += query_step
coordinates[0, i + 1] = ts
coordinates[1, i + 1] = qs
operations[i] = ord(operation)
i += 1
continue
elif operation == "S": # Split codon
pass
elif operation == "F": # Frame shift
pass
else:
raise ValueError("Unknown operation %s in vulgar string" % operation)
ts += target_step
qs += query_step
coordinates[0, i + 1] = ts
coordinates[1, i + 1] = qs
operations[i] = ord(operation)
i += 1
if target_strand == "+":
coordinates[0, :] += target_start
elif target_strand == "-":
coordinates[0, :] = target_start - coordinates[0, :]
elif target_strand == ".": # protein
coordinates[0, :] += target_start
target.annotations["molecule_type"] = "protein"
if query_strand == "+":
coordinates[1, :] += query_start
elif query_strand == "-":
coordinates[1, :] = query_start - coordinates[1, :]
elif query_strand == ".": # protein
coordinates[1, :] += query_start
query.annotations["molecule_type"] = "protein"
alignment = Alignment([target, query], coordinates)
alignment.operations = operations
alignment.score = score
return alignment
def _read_next_alignment(self, stream):
for line in stream:
line = line.strip()
if line == "-- completed exonerate analysis":
try:
next(stream)
except StopIteration:
return
raise ValueError(
"Found additional data after 'completed exonerate analysis'; corrupt file?"
)
if line.startswith("vulgar: "):
words = line[8:].split()
alignment = self._parse_vulgar(words)
elif line.startswith("cigar: "):
words = line[7:].split()
alignment = self._parse_cigar(words)
return alignment
raise ValueError(
"Failed to find 'completed exonerate analysis'; truncated file?"
)