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rename sample ids #4
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#!/usr/bin/env python | ||
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#----------------------------------------------------------------------------- | ||
# Copyright (c) 2016--, Evguenia Kopylova. | ||
# | ||
# Distributed under the terms of the Modified BSD License. | ||
# | ||
# The full license is in the file COPYING.txt, distributed with this software. | ||
#----------------------------------------------------------------------------- | ||
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""" | ||
Add metadata columns from super metadata file to reduced metadata file. | ||
""" | ||
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import click | ||
from collections import OrderedDict | ||
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def add_columns(qiime_mapping_file_fp, | ||
cgc_mapping_file_fp, | ||
metadata_column, | ||
output_fp): | ||
"""Copy metadata columns from CGC metadata file to QIIME metadata file. | ||
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Parameters | ||
---------- | ||
qiime_mapping_file_fp: str | ||
Filepath to QIIME mapping file | ||
cgc_mapping_file_fp: str | ||
Filepath to CGC mapping file | ||
metadata_column: tuple | ||
Metadata columns to copy from CGC to QIIME mapping file | ||
output_fp: str | ||
Filepath to updated QIIME mapping file | ||
""" | ||
qiime_mapping_file = {} | ||
qiime_mapping_header = "" | ||
with open(qiime_mapping_file_fp) as qiime_f: | ||
for line in qiime_f: | ||
line = line.strip().split('\t') | ||
if line[0] == '#SampleID': | ||
qiime_mapping_header = line | ||
continue | ||
# use filename as key | ||
key = line[3] | ||
qiime_mapping_file[key] = line | ||
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cgc_mapping_header = [] | ||
cgc_metadata_columns = OrderedDict() | ||
# initialize list indexes to 0 | ||
for name in metadata_column: | ||
cgc_metadata_columns[str(name)] = 0 | ||
files_searched = set() | ||
with open(cgc_mapping_file_fp) as cgc_f: | ||
for line in cgc_f: | ||
line = line.strip().split('\t') | ||
if line[0] == "case_name": | ||
cgc_mapping_header = line | ||
# set correct index values for metadata columns in CGC header | ||
for key in cgc_metadata_columns: | ||
cgc_metadata_columns[key] = cgc_mapping_header.index(key)+1 | ||
continue | ||
# use filename as key | ||
key_file = line[22] | ||
if key_file in files_searched: | ||
continue | ||
if key_file in qiime_mapping_file: | ||
for key_column, value in cgc_metadata_columns.iteritems(): | ||
qiime_mapping_file[key_file].append(line[value]) | ||
files_searched.add(key_file) | ||
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# output updated QIIME mapping file | ||
num_columns_qiime = len(qiime_mapping_header) | ||
num_columns_cgc = len(cgc_metadata_columns) | ||
with open(output_fp, 'w') as output_f: | ||
output_f.write('\t'.join(map(str,qiime_mapping_header[:-1]))) | ||
for key in cgc_metadata_columns: | ||
output_f.write('\t%s' % key) | ||
output_f.write('\t%s' % qiime_mapping_header[-1]) | ||
output_f.write('\n') | ||
for key in qiime_mapping_file: | ||
# Output QIIME mapping file up to Description column | ||
output_f.write('\t'.join(map(str,qiime_mapping_file[key][:num_columns_qiime-1]))) | ||
output_f.write('\t') | ||
# Output added keys from CGC mapping file | ||
output_f.write('\t'.join(map(str,qiime_mapping_file[key][num_columns_qiime:]))) | ||
# Output Description column | ||
output_f.write('\t%s' % qiime_mapping_file[key][num_columns_qiime-1]) | ||
output_f.write('\n') | ||
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@click.command() | ||
@click.option('--qiime-mapping-file-fp', required=False, | ||
type=click.Path(resolve_path=True, readable=True, exists=True, | ||
file_okay=True), | ||
help='Filepath to QIIME metadata file') | ||
@click.option('--cgc-mapping-file-fp', required=True, | ||
type=click.Path(resolve_path=True, readable=True, exists=True, | ||
file_okay=True), | ||
help='Filepath to CGC metadata file') | ||
@click.option('--metadata-column', type=str, required=True, multiple=True, | ||
help="Metadata column to add from CGC to QIIME mapping file") | ||
@click.option('--output-fp', required=True, | ||
type=click.Path(resolve_path=True, readable=True, exists=False, | ||
file_okay=True), | ||
help='Filepath to updated QIIME mapping file') | ||
def main(qiime_mapping_file_fp, | ||
cgc_mapping_file_fp, | ||
metadata_column, | ||
output_fp): | ||
# rename sample ids in mapping file | ||
add_columns(qiime_mapping_file_fp, | ||
cgc_mapping_file_fp, | ||
metadata_column, | ||
output_fp) | ||
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if __name__ == "__main__": | ||
main() |
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@@ -0,0 +1,84 @@ | ||
#!/usr/bin/env python | ||
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#----------------------------------------------------------------------------- | ||
# Copyright (c) 2016--, Evguenia Kopylova. | ||
# | ||
# Distributed under the terms of the Modified BSD License. | ||
# | ||
# The full license is in the file COPYING.txt, distributed with this software. | ||
#----------------------------------------------------------------------------- | ||
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""" | ||
Rename sample IDs in mapping file and BIOM table for combined analysis of | ||
multiple disease types in CGC TCGA analysis. | ||
""" | ||
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import click | ||
from os.path import splitext, join | ||
from biom.table import Table | ||
from biom.util import biom_open | ||
from biom import load_table | ||
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def rename_sample_ids(mapping_file_fp, | ||
biom_fp, | ||
count_start): | ||
"""Rename sample IDs to join mapping files | ||
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Parameters | ||
---------- | ||
mapping_file_fp: tuple | ||
Filepath to mapping file | ||
biom_fp: str | ||
Filepath to BIOM table | ||
count_start: int | ||
First new sample ID name (ascending in order) | ||
""" | ||
output_mapping_file_fp = "%s_modified.txt" % splitext(mapping_file_fp)[0] | ||
id_map = {} | ||
modified_id = count_start | ||
with open(output_mapping_file_fp, 'w') as output_f: | ||
with open(mapping_file_fp, 'r') as mapping_f: | ||
for line in mapping_f: | ||
if line.startswith('#SampleID'): | ||
output_f.write(line) | ||
continue | ||
line = line.strip().split('\t') | ||
curr_sample_id = line[0] | ||
new_sample_id = "s%s" % modified_id | ||
id_map[curr_sample_id] = new_sample_id | ||
line[0] = new_sample_id | ||
output_f.write('\t'.join(map(str,line))) | ||
output_f.write('\n') | ||
modified_id += 1 | ||
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# update IDs in BIOM table to match modified mapping file | ||
output_biom_fp = "%s_modified.biom" % splitext(biom_fp)[0] | ||
table = load_table(biom_fp) | ||
table.update_ids(id_map, axis='sample') | ||
with biom_open(output_biom_fp, 'w') as f: | ||
table.to_hdf5(h5grp=f, generated_by="tcga-rename-sample-ids") | ||
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@click.command() | ||
@click.option('--mapping-file-fp', required=False, | ||
type=click.Path(resolve_path=True, readable=True, exists=True, | ||
file_okay=True), | ||
help='Filepath to mapping file') | ||
@click.option('--biom-fp', required=True, | ||
type=click.Path(resolve_path=True, readable=True, exists=True, | ||
file_okay=True), | ||
help='Filepath to BIOM table') | ||
@click.option('--count-start', required=True, type=int, | ||
help='First new sample ID name (ascending in order)') | ||
def main(mapping_file_fp, | ||
biom_fp, | ||
count_start): | ||
# rename sample ids in mapping file | ||
rename_sample_ids(mapping_file_fp, | ||
biom_fp, | ||
count_start) | ||
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if __name__ == "__main__": | ||
main() |
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This seems a bit fragile. What about using pandas to parse the table and pull out the column of interest?
...that will trigger changes in the below code but I think the result will be better