Mercurial > repos > iuc > medaka_consensus
comparison convert_VCF_info_fields.py @ 7:fbf007713188 draft
"planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/medaka commit 9b7d28ac59ad082874670ee989836631ba8d7fb4"
author | iuc |
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date | Wed, 10 Feb 2021 08:28:25 +0000 |
parents | |
children | 6ca28e6144fa |
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6:22f6a0e7424f | 7:fbf007713188 |
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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]) |