# 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?" )