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winpca
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#!/usr/bin/env python3
"""
WinPCA. A package for windowed PC analysis.
"""
## IMPORT CONFIG
from modules import config
## IMPORT MODULES
from modules.cli import CLI
from modules.data import WPCAData
from modules.log import Log
## INSTANTIATE LOGGER
log = Log()
## MAIN
def main():
'''
Execute WinPCA.
'''
## PARSE COMMAND LINE ARGUMENTS
# instantiate, call subparsers & parse
cli = CLI()
cli.pca()
cli.polarize()
cli.flip()
cli.chromplot()
cli.genomeplot()
cli.parse_args()
args_dct = cli.args_dct
# set mode
mode = args_dct['winpca']
## MODE: WINDOWED PCA
if mode == 'pca':
# print info
log.newline()
log.info('Performing windowed PCA')
log.newline()
# determine file format
if args_dct['variant_file_path'].endswith('.gz'):
file_fmt = args_dct['variant_file_path'].split('.')[-2].upper()
else:
file_fmt = args_dct['variant_file_path'].split('.')[-1].upper()
# update n_threads/var_fmt in CONFIG
config.N_THREADS = args_dct['n_threads']
config.VAR_FMT = args_dct['var_fmt']
# load module & instantiate
from modules.windowed_pca import WPCA
wpca = WPCA(
variant_file_path = args_dct['variant_file_path'],
file_fmt=file_fmt,
var_fmt=args_dct['var_fmt'],
sample_lst=args_dct['sample_lst'],
chrom=args_dct['chrom'],
start=args_dct['start'],
stop=args_dct['end'],
w_size=args_dct['w_size'],
w_step=args_dct['w_step'],
gt_min_var_per_w=args_dct['gt_min_var_per_w'],
gl_pl_min_var_per_w=args_dct['gl_pl_min_var_per_w'],
skip_monomorphic=args_dct['skip_monomorphic'],
gt_mean_impute=args_dct['gt_mean_impute'],
vcf_pass_filter=args_dct['vcf_pass_filter'],
min_maf=args_dct['min_maf'],
n_threads=args_dct['n_threads'],
)
# run, parse and write output
wpca.window_parser()
data = WPCAData(args_dct['prefix'], wpca)
## ELSE READ IN EXISTING DATA:
if mode in ['polarize', 'flip', 'chromplot']:
# read data
data = WPCAData(args_dct['prefix'])
## MODE: POLARIZE
if mode in ['pca', 'polarize'] \
and not args_dct['polarize'] == 'skip':
# print info
log.newline()
log.info('Polarizing PC data')
# load module & instantiate
from modules.transform_data import Polarize
polarize = Polarize()
# adaptive
if args_dct['polarize'] == 'auto':
if args_dct['pol_pc'] == 'both':
data.modify_data(
'pc_1', polarize.adaptive, args_dct['n_prev_windows']
)
data.modify_data(
'pc_2', polarize.adaptive, args_dct['n_prev_windows']
)
else:
data.modify_data(
'pc_' + str(args_dct['pol_pc']), polarize.adaptive, \
args_dct['n_prev_windows']
)
# using guide samples
if args_dct['polarize'] == 'guide_samples':
if args_dct['pol_pc'] == 'both':
data.modify_data(
'pc_1', polarize.guide_samples, args_dct['guide_sample_lst']
)
data.modify_data(
'pc_2', polarize.guide_samples, args_dct['guide_sample_lst']
)
else:
data.modify_data(
'pc_' + str(args_dct['pol_pc']), polarize.guide_samples, \
args_dct['guide_sample_lst']
)
## MODE: FLIP
if mode == 'flip':
# print info
log.newline()
log.info('Flipping PC data')
# load module & instantiate
from modules.transform_data import Flip
flip = Flip()
# reflect (entire)
if args_dct['reflect']:
if args_dct['flip_pc'] == 'both':
data.modify_data(
'pc_1', flip.flip_chrom
)
data.modify_data(
'pc_2', flip.flip_chrom
)
else:
data.modify_data(
'pc_' + str(args_dct['flip_pc']), flip.flip_chrom
)
# flip specified windows
if args_dct['flip_windows']:
if args_dct['flip_pc'] == 'both':
data.modify_data(
'pc_1', flip.flip_windows,
args_dct['flip_window_lst']
)
data.modify_data(
'pc_2', flip.flip_windows,
args_dct['flip_window_lst']
)
else:
data.modify_data(
'pc_' + str(args_dct['flip_pc']), flip.flip_windows,
args_dct['flip_window_lst']
)
## WRITE DATA TO FILES
# except plot modes
if mode in ['pca', 'polarize', 'flip']:
data.to_files()
## MODE: CHROMPLOT
if mode == 'chromplot':
# print info
log.newline()
log.info('Creating chromosome plot')
# infer stat_var
if args_dct['plot_var'] == 'pc_1':
stat_var = f'{args_dct["plot_var"]}_ve'
if args_dct['plot_var'] == 'pc_2':
stat_var = f'{args_dct["plot_var"]}_ve'
if args_dct['plot_var'] == 'hetp':
stat_var = 'n_var'
# load module & instantiate
from modules.plot import Plot
plot = Plot(args_dct['plot_var'],
stat_var=stat_var,
prefix=args_dct['prefix'],
data=data,
chrom=args_dct['chrom'],
start=args_dct['start'],
end=args_dct['end'],
metadata_path=args_dct['metadata_path'],
color_by=args_dct['color_by'],
hex_code_dct=args_dct['hex_code_dct'],
interval=args_dct['interval'],
chromplot_w=config.CHROMPLOT_W,
chromplot_h=config.CHROMPLOT_H,
plot_fmt_lst=args_dct['plot_fmt_lst'],
numeric=args_dct['numeric'],
reverse=args_dct['reverse'],
)
plot.chromplot()
plot.savefig()
# MODE: GENOMEPLOT
if mode == 'genomeplot':
# print info
log.newline()
log.info('Creating genome-wide plot')
# load module & instantiate
from modules.plot import Plot
plot = Plot(args_dct['plot_var'],
run_prefix=args_dct['run_prefix'],
run_id_lst=args_dct['run_id_lst'],
metadata_path=args_dct['metadata_path'],
color_by=args_dct['color_by'],
hex_code_dct=args_dct['hex_code_dct'],
interval=args_dct['interval'],
genomeplot_w=config.GENOMEPLOT_W,
genomeplot_h=config.GENOMEPLOT_H,
plot_fmt_lst=args_dct['plot_fmt_lst'],
numeric=args_dct['numeric'],
reverse=args_dct['reverse'],
)
plot.genomeplot()
plot.savefig()
# END
# print info
log.newline()
log.info('Done')
log.newline()
# EXECUTE
if __name__ == "__main__":
main()