Mercurial > repos > iuc > medaka_consensus_pipeline
comparison convert_VCF_info_fields.py @ 6:d915879a88bc draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/medaka commit 9b7d28ac59ad082874670ee989836631ba8d7fb4"
| author | iuc |
|---|---|
| date | Wed, 10 Feb 2021 08:28:46 +0000 |
| parents | |
| children | 57beb8ea55b4 |
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| 5:b35de691c42c | 6:d915879a88bc |
|---|---|
| 1 #!/usr/bin/env python3 | |
| 2 | |
| 3 # Takes in VCF file annotated with medaka tools annotate and converts | |
| 4 # | |
| 5 # Usage statement: | |
| 6 # python convert_VCF_info_fields.py in_vcf.vcf out_vcf.vcf | |
| 7 | |
| 8 # 10/21/2020 - Nathan P. Roach, natproach@gmail.com | |
| 9 | |
| 10 import sys | |
| 11 from collections import OrderedDict | |
| 12 from math import log10 | |
| 13 | |
| 14 from scipy.stats import fisher_exact | |
| 15 | |
| 16 | |
| 17 def pval_to_phredqual(pval): | |
| 18 return round(-10 * log10(pval)) | |
| 19 | |
| 20 | |
| 21 def parseInfoField(info): | |
| 22 info_fields = info.split(';') | |
| 23 info_dict = OrderedDict() | |
| 24 for info_field in info_fields: | |
| 25 code, val = info_field.split('=') | |
| 26 info_dict[code] = val | |
| 27 return info_dict | |
| 28 | |
| 29 | |
| 30 def annotateVCF(in_vcf_filepath, out_vcf_filepath): | |
| 31 in_vcf = open(in_vcf_filepath, 'r') | |
| 32 out_vcf = open(out_vcf_filepath, 'w') | |
| 33 to_skip = set(['SC', 'SR']) | |
| 34 for i, line in enumerate(in_vcf): | |
| 35 if i == 1: | |
| 36 out_vcf.write("##convert_VCF_info_fields=0.1\n") | |
| 37 if line[0:2] == "##": | |
| 38 if line[0:11] == "##INFO=<ID=": | |
| 39 id_ = line[11:].split(',')[0] | |
| 40 if id_ in to_skip: | |
| 41 continue | |
| 42 out_vcf.write(line) | |
| 43 elif line[0] == "#": | |
| 44 out_vcf.write('##INFO=<ID=DPSPS,Number=2,Type=Integer,Description="Spanning Reads Allele Frequency By Strand">\n') | |
| 45 out_vcf.write('##INFO=<ID=AF,Number=1,Type=Float,Description="Spanning Reads Allele Frequency">\n') | |
| 46 out_vcf.write('##INFO=<ID=FAF,Number=1,Type=Float,Description="Forward Spanning Reads Allele Frequency">\n') | |
| 47 out_vcf.write('##INFO=<ID=RAF,Number=1,Type=Float,Description="Reverse Spanning Reads Allele Frequency">\n') | |
| 48 out_vcf.write('##INFO=<ID=SB,Number=1,Type=Integer,Description="Phred-scaled strand bias of spanning reads at this position">\n') | |
| 49 out_vcf.write('##INFO=<ID=DP4,Number=4,Type=Integer,Description="Counts for ref-forward bases, ref-reverse, alt-forward and alt-reverse bases in spanning reads">\n') | |
| 50 out_vcf.write('##INFO=<ID=AS,Number=4,Type=Integer,Description="Total alignment score to ref and alt allele of spanning reads by strand (ref fwd, ref rev, alt fwd, alt rev) aligned with parasail match 5, mismatch -4, open 5, extend 3">\n') | |
| 51 out_vcf.write(line) | |
| 52 else: | |
| 53 fields = line.split('\t') | |
| 54 info_dict = parseInfoField(fields[7]) | |
| 55 sr_list = [int(x) for x in info_dict["SR"].split(',')] | |
| 56 sc_list = [int(x) for x in info_dict["SC"].split(',')] | |
| 57 if len(sr_list) == len(sc_list): | |
| 58 variant_list = fields[4].split(',') | |
| 59 dpsp = int(info_dict["DPSP"]) | |
| 60 ref_fwd, ref_rev = 0, 1 | |
| 61 dpspf, dpspr = (int(x) for x in info_dict["AR"].split(',')) | |
| 62 for i in range(0, len(sr_list), 2): | |
| 63 dpspf += sr_list[i] | |
| 64 dpspr += sr_list[i + 1] | |
| 65 for j, i in enumerate(range(2, len(sr_list), 2)): | |
| 66 dp4 = (sr_list[ref_fwd], sr_list[ref_rev], sr_list[i], sr_list[i + 1]) | |
| 67 dp2x2 = [[dp4[0], dp4[1]], [dp4[2], dp4[3]]] | |
| 68 _, p_val = fisher_exact(dp2x2) | |
| 69 sb = pval_to_phredqual(p_val) | |
| 70 | |
| 71 as_ = (sc_list[ref_fwd], sc_list[ref_rev], sc_list[i], sc_list[i + 1]) | |
| 72 | |
| 73 info = [] | |
| 74 for code in info_dict: | |
| 75 if code in to_skip: | |
| 76 continue | |
| 77 val = info_dict[code] | |
| 78 info.append("%s=%s" % (code, val)) | |
| 79 | |
| 80 info.append("DPSPS=%d,%d" % (dpspf, dpspr)) | |
| 81 | |
| 82 if dpsp == 0: | |
| 83 info.append("AF=NaN") | |
| 84 else: | |
| 85 af = dp4[2] + dp4[3] / dpsp | |
| 86 info.append("AF=%.6f" % (af)) | |
| 87 if dpspf == 0: | |
| 88 info.append("FAF=NaN") | |
| 89 else: | |
| 90 faf = dp4[2] / dpspf | |
| 91 info.append("FAF=%.6f" % (faf)) | |
| 92 if dpspr == 0: | |
| 93 info.append("RAF=NaN") | |
| 94 else: | |
| 95 raf = dp4[3] / dpspr | |
| 96 info.append("RAF=%.6f" % (raf)) | |
| 97 info.append("SB=%d" % (sb)) | |
| 98 info.append("DP4=%d,%d,%d,%d" % (dp4)) | |
| 99 info.append("AS=%d,%d,%d,%d" % (as_)) | |
| 100 new_info = ';'.join(info) | |
| 101 fields[4] = variant_list[j] | |
| 102 fields[7] = new_info | |
| 103 out_vcf.write("%s" % ("\t".join(fields))) | |
| 104 else: | |
| 105 print("WARNING - SR and SC are different lengths, skipping variant") | |
| 106 print(line.strip()) # Print the line for debugging purposes | |
| 107 in_vcf.close() | |
| 108 out_vcf.close() | |
| 109 | |
| 110 | |
| 111 if __name__ == "__main__": | |
| 112 annotateVCF(sys.argv[1], sys.argv[2]) |
