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extract-partitions.py
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extract-partitions.py
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#! /usr/bin/env python
#
# This file is part of khmer, https://github.com/dib-lab/khmer/, and is
# Copyright (C) Michigan State University, 2009-2015. It is licensed under
# the three-clause BSD license; see LICENSE.
# Contact: khmer-project@idyll.org
#
# pylint: disable=invalid-name,missing-docstring
"""
Extract partitioned sequences into files grouped by partition size.
% python scripts/extract-partitions.py <base> <file1.part> [ <file2.part> ... ]
Grouped sequences will be <base>.groupN.fa files.
Use '-h' for parameter help.
@CTB note that if threshold is != 1, those sequences will not be output
by output_unassigned...
"""
from __future__ import print_function
import sys
import screed
import argparse
import textwrap
import khmer
from khmer.kfile import (check_input_files, check_space,
add_output_compression_type,
get_file_writer)
from khmer.khmer_args import info, sanitize_epilog
from khmer.utils import write_record
DEFAULT_MAX_SIZE = int(1e6)
DEFAULT_THRESHOLD = 5
def read_partition_file(filename):
for record_index, record in enumerate(screed.open(filename)):
_, partition_id = record.name.rsplit('\t', 1)
yield record_index, record, int(partition_id)
def get_parser():
epilog = """
Example (results will be in ``example.group0000.fa``)::
load-into-graph.py -k 20 example tests/test-data/random-20-a.fa
partition-graph.py example
merge-partitions.py -k 20 example
annotate-partitions.py -k 20 example tests/test-data/random-20-a.fa
extract-partitions.py example random-20-a.fa.part
(extract-partitions.py will produce a partition size distribution
in <base>.dist. The columns are: (1) number of reads, (2) count
of partitions with n reads, (3) cumulative sum of partitions,
(4) cumulative sum of reads.)
"""
parser = argparse.ArgumentParser(
description="Separate sequences that are annotated with partitions "
"into grouped files.", epilog=textwrap.dedent(epilog),
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('prefix', metavar='output_filename_prefix')
parser.add_argument('part_filenames', metavar='input_partition_filename',
nargs='+')
parser.add_argument('--max-size', '-X', dest='max_size',
default=DEFAULT_MAX_SIZE, type=int,
help='Max group size (n sequences)')
parser.add_argument('--min-partition-size', '-m', dest='min_part_size',
default=DEFAULT_THRESHOLD, type=int,
help='Minimum partition size worth keeping')
parser.add_argument('--no-output-groups', '-n', dest='output_groups',
default=True, action='store_false',
help='Do not actually output groups files.')
parser.add_argument('--output-unassigned', '-U', default=False,
action='store_true',
help='Output unassigned sequences, too')
parser.add_argument('--version', action='version', version='%(prog)s ' +
khmer.__version__)
parser.add_argument('-f', '--force', default=False, action='store_true',
help='Overwrite output file if it exists')
add_output_compression_type(parser)
return parser
# pylint: disable=too-many-statements
def main(): # pylint: disable=too-many-locals,too-many-branches
info('extract-partitions.py', ['graph'])
args = sanitize_epilog(get_parser()).parse_args()
distfilename = args.prefix + '.dist'
n_unassigned = 0
for infile in args.part_filenames:
check_input_files(infile, args.force)
check_space(args.part_filenames, args.force)
print('---', file=sys.stderr)
print('reading partitioned files:', repr(
args.part_filenames), file=sys.stderr)
if args.output_groups:
print('outputting to files named "%s.groupN.fa"' %
args.prefix, file=sys.stderr)
print('min reads to keep a partition:',
args.min_part_size, file=sys.stderr)
print('max size of a group file:', args.max_size, file=sys.stderr)
else:
print('NOT outputting groups! Beware!', file=sys.stderr)
if args.output_unassigned:
print('outputting unassigned reads to "%s.unassigned.fa"' %
args.prefix, file=sys.stderr)
print('partition size distribution will go to %s'
% distfilename, file=sys.stderr)
print('---', file=sys.stderr)
#
suffix = 'fa'
is_fastq = False
for index, read, pid in read_partition_file(args.part_filenames[0]):
if hasattr(read, 'quality'):
suffix = 'fq'
is_fastq = True
break
for filename in args.part_filenames:
for index, read, pid in read_partition_file(filename):
if is_fastq:
assert hasattr(read, 'quality'), \
"all input files must be FASTQ if the first one is"
else:
assert not hasattr(read, 'quality'), \
"all input files must be FASTA if the first one is"
break
if args.output_unassigned:
ofile = open('%s.unassigned.%s' % (args.prefix, suffix), 'wb')
unassigned_fp = get_file_writer(ofile, args.gzip, args.bzip)
count = {}
for filename in args.part_filenames:
for index, read, pid in read_partition_file(filename):
if index % 100000 == 0:
print('...', index, file=sys.stderr)
count[pid] = count.get(pid, 0) + 1
if pid == 0:
n_unassigned += 1
if args.output_unassigned:
write_record(read, unassigned_fp)
if args.output_unassigned:
unassigned_fp.close()
if 0 in count: # eliminate unpartitioned sequences
del count[0]
# develop histogram of partition sizes
dist = {}
for pid, size in list(count.items()):
dist[size] = dist.get(size, 0) + 1
# output histogram
distfp = open(distfilename, 'w')
total = 0
wtotal = 0
for counter, index in sorted(dist.items()):
total += index
wtotal += counter * index
distfp.write('%d %d %d %d\n' % (counter, index, total, wtotal))
distfp.close()
if not args.output_groups:
sys.exit(0)
# sort groups by size
divvy = sorted(list(count.items()), key=lambda y: y[1])
divvy = [y for y in divvy if y[1] > args.min_part_size]
# divvy up into different groups, based on having max_size sequences
# in each group.
total = 0
group = set()
group_n = 0
group_d = {}
for partition_id, n_reads in divvy:
group.add(partition_id)
total += n_reads
if total > args.max_size:
for partition_id in group:
group_d[partition_id] = group_n
# print 'group_d', partition_id, group_n
group_n += 1
group = set()
total = 0
if group:
for partition_id in group:
group_d[partition_id] = group_n
# print 'group_d', partition_id, group_n
group_n += 1
print('%d groups' % group_n, file=sys.stderr)
if group_n == 0:
print('nothing to output; exiting!', file=sys.stderr)
return
# open a bunch of output files for the different groups
group_fps = {}
for index in range(group_n):
fname = '%s.group%04d.%s' % (args.prefix, index, suffix)
group_fp = get_file_writer(open(fname, 'wb'), args.gzip,
args.bzip)
group_fps[index] = group_fp
# write 'em all out!
total_seqs = 0
part_seqs = 0
toosmall_parts = 0
for filename in args.part_filenames:
for index, read, partition_id in read_partition_file(filename):
total_seqs += 1
if index % 100000 == 0:
print('...x2', index, file=sys.stderr)
if partition_id == 0:
continue
try:
group_n = group_d[partition_id]
except KeyError:
assert count[partition_id] <= args.min_part_size
toosmall_parts += 1
continue
outfp = group_fps[group_n]
write_record(read, outfp)
part_seqs += 1
print('---', file=sys.stderr)
print('Of %d total seqs,' % total_seqs, file=sys.stderr)
print('extracted %d partitioned seqs into group files,' %
part_seqs, file=sys.stderr)
print('discarded %d sequences from small partitions (see -m),' %
toosmall_parts, file=sys.stderr)
print('and found %d unpartitioned sequences (see -U).' %
n_unassigned, file=sys.stderr)
print('', file=sys.stderr)
print('Created %d group files named %s.groupXXXX.%s' %
(len(group_fps),
args.prefix,
suffix), file=sys.stderr)
if __name__ == '__main__':
main()