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#!/usr/bin/env python3 | ||
""" | ||
Input is start 0-base, end 1-base, from Nanomethphase phased results meth freq tsv file (with or without header) | ||
Output is base 1-base, used for methylkit input | ||
Note: methylkit prefer 1-based input, since the output DMC will be correct, default input tsv is no header | ||
""" | ||
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import argparse | ||
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import pandas as pd | ||
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from nanome.common.global_config import logger, set_log_debug_level, set_log_info_level | ||
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def parse_arguments(): | ||
parser = argparse.ArgumentParser(prog='Convert nanomethphase MethylFreq to methylkit format') | ||
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parser.add_argument('-i', type=str, required=True, | ||
help='input file') | ||
parser.add_argument('-o', type=str, required=True, | ||
help='output methylkit formated file') | ||
parser.add_argument('--has_header', help="if input contains header", action='store_true') | ||
parser.add_argument('--verbose', help="if output verbose info", action='store_true') | ||
return parser.parse_args() | ||
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if __name__ == '__main__': | ||
args = parse_arguments() | ||
if args.verbose: | ||
set_log_debug_level() | ||
else: | ||
set_log_info_level() | ||
logger.debug(f"args={args}") | ||
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df = pd.read_csv(args.i, sep='\t', index_col=None, header=True if args.has_header else None) | ||
df.columns = ['chromosome', 'start', 'end', 'strand', 'NumOfAllCalls', 'NumOfModCalls', 'MethylFreq'] | ||
logger.debug(f"df={df}") | ||
df['chrBase'] = df['chromosome'] + '.' + df['end'].astype(str) | ||
df['chr'] = df['chromosome'] | ||
df['base'] = df['end'] # output base column is 1-based | ||
df['strand'] = df['strand'].apply(lambda x: 'F' if x == '+' else 'R') | ||
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df['coverage'] = df['NumOfAllCalls'] | ||
df['freqC'] = df['MethylFreq'] * 100.0 | ||
df['freqT'] = (1 - df['MethylFreq']) * 100.0 | ||
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df = df[['chrBase', 'chr', 'base', 'strand', 'coverage', 'freqC', 'freqT']] | ||
logger.debug(f"new df={df}") | ||
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df.to_csv(args.o, sep='\t', index=False) | ||
logger.info(f"save to {args.o}") |