-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathget_AFs.py
59 lines (48 loc) · 2.04 KB
/
get_AFs.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
import os
import re
import pandas as pd
import numpy as np
import gzip
import allel
from collections import defaultdict
import codecs
import argparse
def main(args):
s = 'AF_afr,AN_afr,AF_sas,AN_sas,AF_amr,AN_amr,AF_eas,AN_eas,AF_nfe,AN_nfe,AF_fin,AN_fin,GNOMAD_AF'
info_fields = s.split(',')
AF_list = [i for i in info_fields if 'AF_' in i]
df_dict = defaultdict(list)
with codecs.open(args.vcf_path, 'r', encoding='utf-8', errors='ignore') as f:
for line in f:
if '#' not in line:
line = line.rstrip().split('\t')
if all(['AF_' in line[7], 'GNOMAD_AF' in line[7]]):
info = line[7].split(';')
df_dict['chr'].append(line[0])
df_dict['pos'].append(line[1])
df_dict['rs'].append(line[2])
df_dict['AF'].append(info[1].split('=')[1])
d = {j.split('=')[0]: j.split('=')[1] for j in [i for i in info if any(['AF_' in i, 'GNOMAD_AF' in i])]}
d = {**d, **{i:'0.0' for i in set(AF_list).difference(set(d.keys()))}}
for k, v in d.items():
df_dict[k].append(v)
df = pd.DataFrame(df_dict)
df = df[~df['AF'].str.contains('\|')]
for j in [i for i in df.columns if 'AF' in i] + ['pos']:
df[j] = pd.to_numeric(df[j], errors='coerce')
df.to_csv(args.output, sep='\t', index=None)
# return df_dict
if __name__=='__main__':
parser = argparse.ArgumentParser(
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('-vcf_path', type=str,
help='Path to input vcf file (can be in .gz format).')
parser.add_argument('-output', type=str, help='Path to output table.')
args = parser.parse_args()
main(args)
# class Args:
# def __init__(self):
# self.vcf_path = '../data/gnomad_annotated.vcf'
# self.output = ''
# args = Args()
# d = main(args)