Mercurial > repos > xuebing > sharplabtool
view tools/ncbi_blast_plus/blastxml_to_tabular.py @ 1:cdcb0ce84a1b
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author | xuebing |
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date | Fri, 09 Mar 2012 19:45:15 -0500 |
parents | 9071e359b9a3 |
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#!/usr/bin/env python """Convert a BLAST XML file to 12 column tabular output Takes three command line options, input BLAST XML filename, output tabular BLAST filename, output format (std for standard 12 columns, or ext for the extended 24 columns offered in the BLAST+ wrappers). The 12 columns output are 'qseqid sseqid pident length mismatch gapopen qstart qend sstart send evalue bitscore' or 'std' at the BLAST+ command line, which mean: ====== ========= ============================================ Column NCBI name Description ------ --------- -------------------------------------------- 1 qseqid Query Seq-id (ID of your sequence) 2 sseqid Subject Seq-id (ID of the database hit) 3 pident Percentage of identical matches 4 length Alignment length 5 mismatch Number of mismatches 6 gapopen Number of gap openings 7 qstart Start of alignment in query 8 qend End of alignment in query 9 sstart Start of alignment in subject (database hit) 10 send End of alignment in subject (database hit) 11 evalue Expectation value (E-value) 12 bitscore Bit score ====== ========= ============================================ The additional columns offered in the Galaxy BLAST+ wrappers are: ====== ============= =========================================== Column NCBI name Description ------ ------------- ------------------------------------------- 13 sallseqid All subject Seq-id(s), separated by a ';' 14 score Raw score 15 nident Number of identical matches 16 positive Number of positive-scoring matches 17 gaps Total number of gaps 18 ppos Percentage of positive-scoring matches 19 qframe Query frame 20 sframe Subject frame 21 qseq Aligned part of query sequence 22 sseq Aligned part of subject sequence 23 qlen Query sequence length 24 slen Subject sequence length ====== ============= =========================================== Most of these fields are given explicitly in the XML file, others some like the percentage identity and the number of gap openings must be calculated. Be aware that the sequence in the extended tabular output or XML direct from BLAST+ may or may not use XXXX masking on regions of low complexity. This can throw the off the calculation of percentage identity and gap openings. [In fact, both BLAST 2.2.24+ and 2.2.25+ have a subtle bug in this regard, with these numbers changing depending on whether or not the low complexity filter is used.] This script attempts to produce identical output to what BLAST+ would have done. However, check this with "diff -b ..." since BLAST+ sometimes includes an extra space character (probably a bug). """ import sys import re if sys.version_info[:2] >= ( 2, 5 ): import xml.etree.cElementTree as ElementTree else: from galaxy import eggs import pkg_resources; pkg_resources.require( "elementtree" ) from elementtree import ElementTree def stop_err( msg ): sys.stderr.write("%s\n" % msg) sys.exit(1) #Parse Command Line try: in_file, out_file, out_fmt = sys.argv[1:] except: stop_err("Expect 3 arguments: input BLAST XML file, output tabular file, out format (std or ext)") if out_fmt == "std": extended = False elif out_fmt == "x22": stop_err("Format argument x22 has been replaced with ext (extended 24 columns)") elif out_fmt == "ext": extended = True else: stop_err("Format argument should be std (12 column) or ext (extended 24 columns)") # get an iterable try: context = ElementTree.iterparse(in_file, events=("start", "end")) except: stop_err("Invalid data format.") # turn it into an iterator context = iter(context) # get the root element try: event, root = context.next() except: stop_err( "Invalid data format." ) re_default_query_id = re.compile("^Query_\d+$") assert re_default_query_id.match("Query_101") assert not re_default_query_id.match("Query_101a") assert not re_default_query_id.match("MyQuery_101") re_default_subject_id = re.compile("^Subject_\d+$") assert re_default_subject_id.match("Subject_1") assert not re_default_subject_id.match("Subject_") assert not re_default_subject_id.match("Subject_12a") assert not re_default_subject_id.match("TheSubject_1") outfile = open(out_file, 'w') blast_program = None for event, elem in context: if event == "end" and elem.tag == "BlastOutput_program": blast_program = elem.text # for every <Iteration> tag if event == "end" and elem.tag == "Iteration": #Expecting either this, from BLAST 2.2.25+ using FASTA vs FASTA # <Iteration_query-ID>sp|Q9BS26|ERP44_HUMAN</Iteration_query-ID> # <Iteration_query-def>Endoplasmic reticulum resident protein 44 OS=Homo sapiens GN=ERP44 PE=1 SV=1</Iteration_query-def> # <Iteration_query-len>406</Iteration_query-len> # <Iteration_hits></Iteration_hits> # #Or, from BLAST 2.2.24+ run online # <Iteration_query-ID>Query_1</Iteration_query-ID> # <Iteration_query-def>Sample</Iteration_query-def> # <Iteration_query-len>516</Iteration_query-len> # <Iteration_hits>... qseqid = elem.findtext("Iteration_query-ID") if re_default_query_id.match(qseqid): #Place holder ID, take the first word of the query definition qseqid = elem.findtext("Iteration_query-def").split(None,1)[0] qlen = int(elem.findtext("Iteration_query-len")) # for every <Hit> within <Iteration> for hit in elem.findall("Iteration_hits/Hit"): #Expecting either this, # <Hit_id>gi|3024260|sp|P56514.1|OPSD_BUFBU</Hit_id> # <Hit_def>RecName: Full=Rhodopsin</Hit_def> # <Hit_accession>P56514</Hit_accession> #or, # <Hit_id>Subject_1</Hit_id> # <Hit_def>gi|57163783|ref|NP_001009242.1| rhodopsin [Felis catus]</Hit_def> # <Hit_accession>Subject_1</Hit_accession> # #apparently depending on the parse_deflines switch sseqid = hit.findtext("Hit_id").split(None,1)[0] hit_def = sseqid + " " + hit.findtext("Hit_def") if re_default_subject_id.match(sseqid) \ and sseqid == hit.findtext("Hit_accession"): #Place holder ID, take the first word of the subject definition hit_def = hit.findtext("Hit_def") sseqid = hit_def.split(None,1)[0] # for every <Hsp> within <Hit> for hsp in hit.findall("Hit_hsps/Hsp"): nident = hsp.findtext("Hsp_identity") length = hsp.findtext("Hsp_align-len") pident = "%0.2f" % (100*float(nident)/float(length)) q_seq = hsp.findtext("Hsp_qseq") h_seq = hsp.findtext("Hsp_hseq") m_seq = hsp.findtext("Hsp_midline") assert len(q_seq) == len(h_seq) == len(m_seq) == int(length) gapopen = str(len(q_seq.replace('-', ' ').split())-1 + \ len(h_seq.replace('-', ' ').split())-1) mismatch = m_seq.count(' ') + m_seq.count('+') \ - q_seq.count('-') - h_seq.count('-') #TODO - Remove this alternative mismatch calculation and test #once satisifed there are no problems expected_mismatch = len(q_seq) \ - sum(1 for q,h in zip(q_seq, h_seq) \ if q == h or q == "-" or h == "-") xx = sum(1 for q,h in zip(q_seq, h_seq) if q=="X" and h=="X") if not (expected_mismatch - q_seq.count("X") <= int(mismatch) <= expected_mismatch + xx): stop_err("%s vs %s mismatches, expected %i <= %i <= %i" \ % (qseqid, sseqid, expected_mismatch - q_seq.count("X"), int(mismatch), expected_mismatch)) #TODO - Remove this alternative identity calculation and test #once satisifed there are no problems expected_identity = sum(1 for q,h in zip(q_seq, h_seq) if q == h) if not (expected_identity - xx <= int(nident) <= expected_identity + q_seq.count("X")): stop_err("%s vs %s identities, expected %i <= %i <= %i" \ % (qseqid, sseqid, expected_identity, int(nident), expected_identity + q_seq.count("X"))) evalue = hsp.findtext("Hsp_evalue") if evalue == "0": evalue = "0.0" else: evalue = "%0.0e" % float(evalue) bitscore = float(hsp.findtext("Hsp_bit-score")) if bitscore < 100: #Seems to show one decimal place for lower scores bitscore = "%0.1f" % bitscore else: #Note BLAST does not round to nearest int, it truncates bitscore = "%i" % bitscore values = [qseqid, sseqid, pident, length, #hsp.findtext("Hsp_align-len") str(mismatch), gapopen, hsp.findtext("Hsp_query-from"), #qstart, hsp.findtext("Hsp_query-to"), #qend, hsp.findtext("Hsp_hit-from"), #sstart, hsp.findtext("Hsp_hit-to"), #send, evalue, #hsp.findtext("Hsp_evalue") in scientific notation bitscore, #hsp.findtext("Hsp_bit-score") rounded ] if extended: sallseqid = ";".join(name.split(None,1)[0] for name in hit_def.split(">")) #print hit_def, "-->", sallseqid positive = hsp.findtext("Hsp_positive") ppos = "%0.2f" % (100*float(positive)/float(length)) qframe = hsp.findtext("Hsp_query-frame") sframe = hsp.findtext("Hsp_hit-frame") if blast_program == "blastp": #Probably a bug in BLASTP that they use 0 or 1 depending on format if qframe == "0": qframe = "1" if sframe == "0": sframe = "1" slen = int(hit.findtext("Hit_len")) values.extend([sallseqid, hsp.findtext("Hsp_score"), #score, nident, positive, hsp.findtext("Hsp_gaps"), #gaps, ppos, qframe, sframe, #NOTE - for blastp, XML shows original seq, tabular uses XXX masking q_seq, h_seq, str(qlen), str(slen), ]) #print "\t".join(values) outfile.write("\t".join(values) + "\n") # prevents ElementTree from growing large datastructure root.clear() elem.clear() outfile.close()