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| """Bio.AlignIO support for "fasta-m10" output from Bill Pearson's FASTA tools. |
| |
| You are expected to use this module via the Bio.AlignIO functions (or the |
| Bio.SeqIO functions if you want to work directly with the gapped sequences). |
| |
| This module contains a parser for the pairwise alignments produced by Bill |
| Pearson's FASTA tools, for use from the Bio.AlignIO interface where it is |
| referred to as the "fasta-m10" file format (as we only support the machine |
| readable output format selected with the -m 10 command line option). |
| |
| This module does NOT cover the generic "fasta" file format originally |
| developed as an input format to the FASTA tools. The Bio.AlignIO and |
| Bio.SeqIO both use the Bio.SeqIO.FastaIO module to deal with these files, |
| which can also be used to store a multiple sequence alignments. |
| """ |
|
|
| from Bio.Align import MultipleSeqAlignment |
| from Bio.Seq import Seq |
| from Bio.SeqRecord import SeqRecord |
|
|
|
|
| def _extract_alignment_region(alignment_seq_with_flanking, annotation): |
| """Extract alignment region (PRIVATE). |
| |
| Helper function for the main parsing code. |
| |
| To get the actual pairwise alignment sequences, we must first |
| translate the un-gapped sequence based coordinates into positions |
| in the gapped sequence (which may have a flanking region shown |
| using leading - characters). To date, I have never seen any |
| trailing flanking region shown in the m10 file, but the |
| following code should also cope with that. |
| |
| Note that this code seems to work fine even when the "sq_offset" |
| entries are present as a result of using the -X command line option. |
| """ |
| align_stripped = alignment_seq_with_flanking.strip("-") |
| display_start = int(annotation["al_display_start"]) |
| if int(annotation["al_start"]) <= int(annotation["al_stop"]): |
| start = int(annotation["al_start"]) - display_start |
| end = int(annotation["al_stop"]) - display_start + 1 |
| else: |
| |
| start = display_start - int(annotation["al_start"]) |
| end = display_start - int(annotation["al_stop"]) + 1 |
|
|
| end += align_stripped.count("-") |
| if start < 0 or start >= end or end > len(align_stripped): |
| raise ValueError( |
| "Problem with sequence start/stop,\n%s[%i:%i]\n%s" |
| % (alignment_seq_with_flanking, start, end, annotation) |
| ) |
| return align_stripped[start:end] |
|
|
|
|
| def FastaM10Iterator(handle, seq_count=None): |
| """Alignment iterator for the FASTA tool's pairwise alignment output. |
| |
| This is for reading the pairwise alignments output by Bill Pearson's |
| FASTA program when called with the -m 10 command line option for machine |
| readable output. For more details about the FASTA tools, see the website |
| http://fasta.bioch.virginia.edu/ and the paper: |
| |
| W.R. Pearson & D.J. Lipman PNAS (1988) 85:2444-2448 |
| |
| This class is intended to be used via the Bio.AlignIO.parse() function |
| by specifying the format as "fasta-m10" as shown in the following code:: |
| |
| from Bio import AlignIO |
| handle = ... |
| for a in AlignIO.parse(handle, "fasta-m10"): |
| assert len(a) == 2, "Should be pairwise!" |
| print("Alignment length %i" % a.get_alignment_length()) |
| for record in a: |
| print("%s %s %s" % (record.seq, record.name, record.id)) |
| |
| Note that this is not a full blown parser for all the information |
| in the FASTA output - for example, most of the header and all of the |
| footer is ignored. Also, the alignments are not batched according to |
| the input queries. |
| |
| Also note that there can be up to about 30 letters of flanking region |
| included in the raw FASTA output as contextual information. This is NOT |
| part of the alignment itself, and is not included in the resulting |
| MultipleSeqAlignment objects returned. |
| """ |
| state_PREAMBLE = -1 |
| state_NONE = 0 |
| state_QUERY_HEADER = 1 |
| state_ALIGN_HEADER = 2 |
| state_ALIGN_QUERY = 3 |
| state_ALIGN_MATCH = 4 |
| state_ALIGN_CONS = 5 |
|
|
| def build_hsp(): |
| if not query_tags and not match_tags: |
| raise ValueError(f"No data for query {query_id!r}, match {match_id!r}") |
| assert query_tags, query_tags |
| assert match_tags, match_tags |
| evalue = align_tags.get("fa_expect") |
| tool = global_tags.get("tool", "").upper() |
|
|
| q = _extract_alignment_region(query_seq, query_tags) |
| if tool in ["TFASTX"] and len(match_seq) == len(q): |
| m = match_seq |
| |
| |
| else: |
| m = _extract_alignment_region(match_seq, match_tags) |
| if len(q) != len(m): |
| raise ValueError( |
| f"""\ |
| Darn... amino acids vs nucleotide coordinates? |
| tool: {tool} |
| query_seq: {query_seq} |
| query_tags: {query_tags} |
| {q} length: {len(q)} |
| match_seq: {match_seq} |
| match_tags: {match_tags} |
| {m} length: {len(m)} |
| handle.name: {handle.name} |
| """ |
| ) |
|
|
| annotations = {} |
| records = [] |
|
|
| |
| annotations.update(header_tags) |
| annotations.update(align_tags) |
|
|
| |
| |
| record = SeqRecord( |
| Seq(q), |
| id=query_id, |
| name="query", |
| description=query_descr, |
| annotations={"original_length": int(query_tags["sq_len"])}, |
| ) |
| |
| record._al_start = int(query_tags["al_start"]) |
| record._al_stop = int(query_tags["al_stop"]) |
|
|
| |
| if "sq_type" in query_tags: |
| if query_tags["sq_type"] == "D": |
| record.annotations["molecule_type"] = "DNA" |
| elif query_tags["sq_type"] == "p": |
| record.annotations["molecule_type"] = "protein" |
|
|
| records.append(record) |
|
|
| |
| |
| record = SeqRecord( |
| Seq(m), |
| id=match_id, |
| name="match", |
| description=match_descr, |
| annotations={"original_length": int(match_tags["sq_len"])}, |
| ) |
| |
| record._al_start = int(match_tags["al_start"]) |
| record._al_stop = int(match_tags["al_stop"]) |
|
|
| if "sq_type" in match_tags: |
| if match_tags["sq_type"] == "D": |
| record.annotations["molecule_type"] = "DNA" |
| elif match_tags["sq_type"] == "p": |
| record.annotations["molecule_type"] = "protein" |
|
|
| records.append(record) |
|
|
| return MultipleSeqAlignment(records, annotations=annotations) |
|
|
| state = state_PREAMBLE |
| query_id = None |
| match_id = None |
| query_descr = "" |
| match_descr = "" |
| global_tags = {} |
| header_tags = {} |
| align_tags = {} |
| query_tags = {} |
| match_tags = {} |
| query_seq = "" |
| match_seq = "" |
| cons_seq = "" |
| for line in handle: |
| if ">>>" in line and not line.startswith(">>>"): |
| if query_id and match_id: |
| |
| |
| yield build_hsp() |
| state = state_NONE |
| query_descr = line[line.find(">>>") + 3 :].strip() |
| query_id = query_descr.split(None, 1)[0] |
| match_id = None |
| header_tags = {} |
| align_tags = {} |
| query_tags = {} |
| match_tags = {} |
| query_seq = "" |
| match_seq = "" |
| cons_seq = "" |
| elif line.startswith("!! No "): |
| |
| |
| |
| |
| assert state == state_NONE |
| assert not header_tags |
| assert not align_tags |
| assert not match_tags |
| assert not query_tags |
| assert match_id is None |
| assert not query_seq |
| assert not match_seq |
| assert not cons_seq |
| query_id = None |
| elif line.strip() in [">>><<<", ">>>///"]: |
| |
| if query_id and match_id: |
| yield build_hsp() |
| state = state_NONE |
| query_id = None |
| match_id = None |
| header_tags = {} |
| align_tags = {} |
| query_tags = {} |
| match_tags = {} |
| query_seq = "" |
| match_seq = "" |
| cons_seq = "" |
| elif line.startswith(">>>"): |
| |
| assert query_id is not None |
| assert line[3:].split(", ", 1)[0] == query_id, line |
| assert match_id is None |
| assert not header_tags |
| assert not align_tags |
| assert not query_tags |
| assert not match_tags |
| assert not match_seq |
| assert not query_seq |
| assert not cons_seq |
| state = state_QUERY_HEADER |
| elif line.startswith(">>"): |
| |
| if query_id and match_id: |
| yield build_hsp() |
| align_tags = {} |
| query_tags = {} |
| match_tags = {} |
| query_seq = "" |
| match_seq = "" |
| cons_seq = "" |
| match_descr = line[2:].strip() |
| match_id = match_descr.split(None, 1)[0] |
| state = state_ALIGN_HEADER |
| elif line.startswith(">--"): |
| |
| assert query_id and match_id, line |
| yield build_hsp() |
| |
| |
| align_tags = {} |
| query_tags = {} |
| match_tags = {} |
| query_seq = "" |
| match_seq = "" |
| cons_seq = "" |
| state = state_ALIGN_HEADER |
| elif line.startswith(">"): |
| if state == state_ALIGN_HEADER: |
| |
| assert query_id is not None, line |
| assert match_id is not None, line |
| assert query_id.startswith(line[1:].split(None, 1)[0]), line |
| state = state_ALIGN_QUERY |
| elif state == state_ALIGN_QUERY: |
| |
| assert query_id is not None, line |
| assert match_id is not None, line |
| assert match_id.startswith(line[1:].split(None, 1)[0]), line |
| state = state_ALIGN_MATCH |
| elif state == state_NONE: |
| |
| pass |
| else: |
| raise RuntimeError("state %i got %r" % (state, line)) |
| elif line.startswith("; al_cons"): |
| assert state == state_ALIGN_MATCH, line |
| state = state_ALIGN_CONS |
| |
| elif line.startswith("; "): |
| if ": " in line: |
| key, value = (s.strip() for s in line[2:].split(": ", 1)) |
| else: |
| import warnings |
|
|
| from Bio import BiopythonParserWarning |
|
|
| |
| |
| warnings.warn( |
| f"Missing colon in line: {line!r}", BiopythonParserWarning |
| ) |
| try: |
| key, value = (s.strip() for s in line[2:].split(" ", 1)) |
| except ValueError: |
| raise ValueError(f"Bad line: {line!r}") from None |
| if state == state_QUERY_HEADER: |
| header_tags[key] = value |
| elif state == state_ALIGN_HEADER: |
| align_tags[key] = value |
| elif state == state_ALIGN_QUERY: |
| query_tags[key] = value |
| elif state == state_ALIGN_MATCH: |
| match_tags[key] = value |
| else: |
| raise RuntimeError(f"Unexpected state {state!r}, {line!r}") |
| elif state == state_ALIGN_QUERY: |
| query_seq += line.strip() |
| elif state == state_ALIGN_MATCH: |
| match_seq += line.strip() |
| elif state == state_ALIGN_CONS: |
| cons_seq += line.strip("\n") |
| elif state == state_PREAMBLE: |
| if line.startswith("#"): |
| global_tags["command"] = line[1:].strip() |
| elif line.startswith(" version "): |
| global_tags["version"] = line[9:].strip() |
| elif " compares a " in line: |
| global_tags["tool"] = line[: line.find(" compares a ")].strip() |
| elif " searches a " in line: |
| global_tags["tool"] = line[: line.find(" searches a ")].strip() |
| else: |
| pass |
|
|