#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Filters references by identity values of assigned reads.
This filter processes reference accessions with too few or too many reads of
high or low percent identity in MALT'ed SAM files.
.. moduleauthor:: Florian Aldehoff <faldehoff@student.uni-tuebingen.de>
"""
import sys
if not (sys.version_info[0] >= 3):
print("Error, I need python 3.x or newer")
exit(1)
import argparse
import logging as log
import fileinput
import tempfile
from os.path import basename, splitext
""" custom libraries """
from samsifter.models.filter import FilterItem
from samsifter.models.parameter import (FilterParameter, FilterSwitch,
FilterThreshold)
from samsifter.util.arg_sanitation import (check_pos_float_max100, check_sam)
from samsifter.util.sam import reconstruct
from samsifter.util.genetics import aln_identity
from samsifter.util.filters import line_filter
""" global variables """
TEXT = "Filter references by % identity"
DESC = ("Filters reference accessions with too few/many reads of high/low "
"percent identity in MALT'ed SAM files")
[docs]def item():
"""Create item representing this tool in list and tree views.
Returns
-------
FilterItem
Item for use in item-based list and tree views.
"""
item = FilterItem(text=TEXT, desc=DESC)
item.set_command(splitext(basename(__file__))[0])
item.add_parameter(FilterThreshold(
text="min. reads",
desc="minimum percentage of reads with insufficient identity [50.0]",
cli_name="--min_reads",
default=50.0,
unit="%",
required=True,
active=True
))
item.add_parameter(FilterThreshold(
text="max. reads",
desc="maximum percentage of reads with insufficient identity [100.0]",
cli_name="--max_reads",
default=100.0,
unit="%"
))
item.add_parameter(FilterThreshold(
text="min. identity",
desc="minimum percent identity [90.0]",
cli_name="--min_identity",
default=90.0,
unit="%",
required=True,
active=True
))
item.add_parameter(FilterThreshold(
text="max. identity",
desc="maximum percent identity [100.0]",
cli_name="--max_identity",
default=100.0,
unit="%"
))
item.add_parameter(FilterSwitch(
text="filter direction",
desc="Keep or discard entries passing the filter criteria?",
cli_name="--discard",
default=0,
options=["discard", "keep"]
))
item.add_parameter(FilterParameter(
text="verbose",
desc="print additional information to STDERR",
cli_name="--verbose",
default=True,
active=True
))
item.add_parameter(FilterParameter(
text="debug",
desc="print debug messages to STDERR",
cli_name="--debug",
default=False
))
return item
[docs]def main():
"""Executable to filter SAM files for references with low identity reads.
See ``--help`` for details on expected arguments. Takes input from
either STDIN, or optional, or positional arguments. Logs messages to
STDERR and writes processed SAM files to STDOUT.
"""
# parse arguments
parser = argparse.ArgumentParser(description=DESC)
parser.add_argument('-i', '--input',
type=check_sam,
help="specify SAM file to be analysed (default: "
"STDIN)",
required=False)
# thresholds for filtering
threshold_options = parser.add_argument_group(
title="filtering thresholds",
description="modify cutoffs for percent identity filtering"
)
threshold_options.add_argument("--min_reads",
action="store",
type=check_pos_float_max100,
dest="min_reads",
help="minimum percentage of reads with \
insufficient identity [50.0]",
default=50.0)
threshold_options.add_argument("--max_reads",
action="store",
type=check_pos_float_max100,
dest="max_reads",
help="maximum percentage of reads with \
insufficient identity [100.0]",
default=100.0)
threshold_options.add_argument("--min_identity",
action="store",
type=check_pos_float_max100,
dest="min_identity",
help="minimum percent identity [90.0]",
default=90.0)
threshold_options.add_argument("--max_identity",
action="store",
type=check_pos_float_max100,
dest="max_identity",
help="maximum percent identity [100.0]",
default=100.0)
# options to modify calculation of percent identity
perc_id_options = parser.add_argument_group(
title="percent identity",
description=("Options to modify calculation of percent identity. "
"Setting all three options will calculate values similar "
"to PMDtools, while the default settings calculate "
"values similar to MALT."))
perc_id_options.add_argument("--no_deamination",
action="store_true",
dest="no_deamination",
help="do not treat possibly deaminated T>C \
and A>G pairs as mismatches in calculation \
of percent identity",
default=False)
perc_id_options.add_argument("--no_indels",
action="store_true",
dest="no_indels",
help="do not treat insertions and deletions \
in alignment as mismatches in calculation of \
percent identity",
default=False)
perc_id_options.add_argument("--no_unknown",
action="store_true",
dest="no_unknown",
help="do not treat Ns in alignment as \
mismatch in calculation of percent identity",
default=False)
parser.add_argument('--discard',
type=int,
help="keep or discard entries passing the filter "
"criteria?",
required=False,
default=0)
parser.add_argument('-v', '--verbose',
required=False,
action='store_true',
help='print additional information to stderr')
parser.add_argument('-d', '--debug',
required=False,
action='store_true',
help='print debug messages to stderr')
(args, remainArgs) = parser.parse_known_args()
# configure logging
if args.verbose:
log.basicConfig(format="%(levelname)s: %(message)s", level=log.DEBUG)
else:
log.basicConfig(format="%(levelname)s: %(message)s")
# exclude senseless threshold combinations
if ((args.min_reads >= args.max_reads)
or (args.min_identity >= args.max_identity)):
log.error("Filter thresholds too restrictive.")
exit(1)
# initialize dicts and variables
filtered_counts = {} # dict of list of ints: [passed, failed]
positions = {} # dict of list for references and their line numbers
buffer = None # file handle used to buffer complete STDIN
log.info("START of filtering references by identity.")
# parse SAM file and filter reads by identity thresholds
log.info("STEP 1: parsing SAM records and determining reads with"
" %.1f%% <= identity <= %.1f%%"
% (args.min_identity, args.max_identity))
try:
"""
open SAM file from either command line argument or STDIN
use temporary file as buffer if reading from STDIN
"""
if args.input:
handle = open(args.input, 'r')
else:
handle = fileinput.input(remainArgs)
buffer = tempfile.TemporaryFile(mode='w+')
for line_nr, line in enumerate(handle, 0):
if buffer is not None:
buffer.write(line)
if not line.startswith("@"):
fields = line.split("\t")
"""
# content description
===========================
0 QNAME
1 FLAG
2 RNAME
3 POS
4 MAPQ
5 CIGAR
6 RNEXT
7 PNEXT
8 TLEN
9 SEQ
10 QUAL
...optional fields...
11 AS alignment score
12 NM edit distance to reference
13 ZL reference length
14 ZR "raw score"
15 ZE "expected"
16 ZI percent identify (incl. indels & deaminated)
17 MD mismatching positions
18 NS PMD score
"""
# extract accession from required RNAME field
# (as written by MALT 0.0.3)
rname_parts = fields[2].split("|")
"""
# content
===============
0 gi
1 GenBank ID
2 ref
3 accession
4 tax
5 taxonomy ID
"""
accession = ""
try:
accession = rname_parts[3]
except IndexError:
accession = "unspecified accession"
log.warn("no accession in line %s, run MALT version \
0.0.3 or higher" % (line_nr + 1))
cigar = fields[5]
read = fields[9]
try:
md = line.split('MD:Z:')[1].split()[0].rstrip('\n')
except IndexError:
log.error("no MD tag in line %s" % (line_nr + 1))
exit(1)
# recreate alignment
(ref_full, read_full, ref_aln, read_aln) = reconstruct(read,
cigar,
md,
False)
# calculate identity of alignment
# (PMD method, uses inverted defaults)
include_indels = not args.no_indels
include_deamination = not args.no_deamination
include_unknown = not args.no_unknown
(identity, mm_string) = aln_identity(read_aln,
ref_aln,
include_indels,
include_deamination,
include_unknown)
# filter alignment, count results
if ((args.min_identity <= identity * 100)
and (identity * 100 <= args.max_identity)):
# passed
try:
filtered_counts[accession][0] += 1
except KeyError:
filtered_counts[accession] = [1, 0]
else:
# failed
try:
filtered_counts[accession][1] += 1
except KeyError:
filtered_counts[accession] = [0, 1]
# remember occurence of accession and line number(s)
try:
positions[accession].append(line_nr)
except KeyError:
positions[accession] = [line_nr, ]
finally:
handle.close()
buffer.seek(0)
# filter accessions by read thresholds
log.info("STEP 2: determining accessions with "
"%.1f%% <= filtered reads <= %.1f%%"
% (args.min_reads, args.max_reads))
lines = []
for accession, (passed, failed) in filtered_counts.items():
fraction = failed / (failed + passed)
if args.debug:
print(failed, passed, failed + passed, fraction, file=sys.stderr)
if ((args.min_reads <= fraction * 100.0)
and (fraction * 100.0 <= args.max_reads)):
lines.extend(positions[accession])
if args.debug:
log.info("filtering accession: %s" % (accession,))
# keep or remove accessions from SAM file
alt = ["discarding", "keeping"]
log.info("STEP 3: %s %i references from SAM file." %
(alt[args.discard], len(lines)))
if buffer is None:
buffer = open(args.input, 'r')
line_filter(lines, buffer, discard=(args.discard == 0))
buffer.close()
log.info("END of filtering reads by identity.")
exit()
if __name__ == "__main__":
main()