Files
galaxy/tools/sr_mapping/bfast_wrapper.py
T

508 lines
20 KiB
Python

#!/usr/bin/env python
"""
Runs BFAST on single-end or paired-end data.
TODO: more documentation
TODO:
- auto-detect gzip or bz2
- split options (?)
- queue lengths (?)
- assumes reference always has been indexed
- main and secondary indexes
- scoring matrix file ?
- read group file ?
usage: bfast_wrapper.py [options]
-r, --ref=r: The reference genome to use or index
-f, --fastq=f: The fastq file to use for the mapping
-F, --output=u: The file to save the output (SAM format)
-s, --fileSource=s: Whether to use a previously indexed reference sequence or one from history (indexed or history)
-p, --params=p: Parameter setting to use (pre_set or full)
-n, --numThreads=n: The number of threads to use
-A, --space=A: The encoding space (0: base 1: color)
-o, --offsets=o: The offsets for 'match'
-l, --loadAllIndexes=l: Load all indexes into memory
-k, --keySize=k: truncate key size in 'match'
-K, --maxKeyMatches=K: the maximum number of matches to allow before a key is ignored
-M, --maxNumMatches=M: the maximum number of matches to allow before the read is discarded
-w, --whichStrand=w: the strands to consider (0: both 1: forward 2: reverse)
-t, --timing=t: output timing information to stderr
-u, --ungapped=u: performed ungapped local alignment
-U, --unconstrained=U: performed local alignment without mask constraints
-O, --offset=O: the number of bases before and after each hit to consider in local alignment
-q, --avgMismatchQuality=q: average mismatch quality
-a, --algorithm=a: post processing algorithm (0: no filtering, 1: all passing filters, 2: unique, 3: best scoring unique, 4: best score all)
-P, --disallowPairing=P: do not choose alignments based on pairing
-R, --reverse=R: paired end reads are given on reverse strands
-z, --random=z: output a random best scoring alignment
-D, --dbkey=D: Dbkey for reference genome
-H, --suppressHeader=H: Suppress the sam header
"""
import optparse
import os
import shutil
import subprocess
import sys
import tempfile
def stop_err(msg):
sys.stderr.write("%s\n" % msg)
sys.exit()
def __main__():
parser = optparse.OptionParser()
parser.add_option("-r", "--ref", dest="ref", help="The reference genome to index and use")
parser.add_option("-f", "--fastq", dest="fastq", help="The fastq file to use for the mapping")
parser.add_option("-F", "--output", dest="output", help="The file to save the output (SAM format)")
parser.add_option(
"-A",
"--space",
dest="space",
type="choice",
default="0",
choices=("0", "1"),
help="The encoding space (0: base 1: color)",
)
parser.add_option(
"-H", "--suppressHeader", action="store_true", dest="suppressHeader", default=False, help="Suppress header"
)
parser.add_option(
"-n", "--numThreads", dest="numThreads", type="int", default="1", help="The number of threads to use"
)
parser.add_option(
"-t", "--timing", action="store_true", default=False, dest="timing", help="output timming information to stderr"
)
parser.add_option(
"-l",
"--loadAllIndexes",
action="store_true",
default=False,
dest="loadAllIndexes",
help="Load all indexes into memory",
)
parser.add_option(
"-m", "--indexMask", dest="indexMask", help="String containing info on how to build custom indexes"
)
parser.add_option(
"-b",
"--buildIndex",
action="store_true",
dest="buildIndex",
default=False,
help="String containing info on how to build custom indexes",
)
parser.add_option(
"--indexRepeatMasker",
action="store_true",
dest="indexRepeatMasker",
default=False,
help="Do not index lower case sequences. Such as those created by RepeatMasker",
)
parser.add_option(
"--indexContigOptions",
dest="indexContigOptions",
default="",
help="The contig range options to use for the indexing",
)
parser.add_option(
"--indexExonsFileName", dest="indexExonsFileName", default="", help="The exons file to use for the indexing"
)
parser.add_option("-o", "--offsets", dest="offsets", default="", help="The offsets for 'match'")
parser.add_option("-k", "--keySize", dest="keySize", type="int", default="-1", help="truncate key size in 'match'")
parser.add_option(
"-K",
"--maxKeyMatches",
dest="maxKeyMatches",
type="int",
default="-1",
help="the maximum number of matches to allow before a key is ignored",
)
parser.add_option(
"-M",
"--maxNumMatches",
dest="maxNumMatches",
type="int",
default="-1",
help="the maximum number of matches to allow bfore the read is discarded",
)
parser.add_option(
"-w",
"--whichStrand",
dest="whichStrand",
type="choice",
default="0",
choices=("0", "1", "2"),
help="the strands to consider (0: both 1: forward 2: reverse)",
)
parser.add_option(
"--scoringMatrixFileName", dest="scoringMatrixFileName", help="Scoring Matrix file used to score the alignments"
)
parser.add_option(
"-u",
"--ungapped",
dest="ungapped",
action="store_true",
default=False,
help="performed ungapped local alignment",
)
parser.add_option(
"-U",
"--unconstrained",
dest="unconstrained",
action="store_true",
default=False,
help="performed local alignment without mask constraints",
)
parser.add_option(
"-O",
"--offset",
dest="offset",
type="int",
default="0",
help="the number of bases before and after each hit to consider in local alignment",
)
parser.add_option(
"-q",
"--avgMismatchQuality",
type="int",
default="-1",
dest="avgMismatchQuality",
help="average mismatch quality",
)
parser.add_option(
"-a",
"--algorithm",
dest="algorithm",
default="0",
type="choice",
choices=("0", "1", "2", "3", "4"),
help="post processing algorithm (0: no filtering, 1: all passing filters, 2: unique, 3: best scoring unique, 4: best score all",
)
parser.add_option(
"--unpaired",
dest="unpaired",
action="store_true",
default=False,
help="do not choose alignments based on pairing",
)
parser.add_option(
"--reverseStrand",
dest="reverseStrand",
action="store_true",
default=False,
help="paired end reads are given on reverse strands",
)
parser.add_option(
"--pairedEndInfer",
dest="pairedEndInfer",
action="store_true",
default=False,
help="break ties when one end of a paired end read by estimating the insert size distribution",
)
parser.add_option(
"--randomBest",
dest="randomBest",
action="store_true",
default=False,
help="output a random best scoring alignment",
)
(options, args) = parser.parse_args()
# output version # of tool
try:
tmp = tempfile.NamedTemporaryFile().name
tmp_stdout = open(tmp, "wb")
proc = subprocess.Popen(args="bfast 2>&1", shell=True, stdout=tmp_stdout)
tmp_stdout.close()
returncode = proc.wait()
stdout = None
for line in open(tmp_stdout.name, "rb"):
if line.lower().find("version") >= 0:
stdout = line.strip()
break
if stdout:
sys.stdout.write("%s\n" % stdout)
else:
raise Exception
except Exception:
sys.stdout.write("Could not determine BFAST version\n")
buffsize = 1048576
# make temp directory for bfast, requires trailing slash
tmp_dir = "%s/" % tempfile.mkdtemp()
# 'generic' options used in all bfast commands here
if options.timing:
all_cmd_options = "-t"
else:
all_cmd_options = ""
try:
if options.buildIndex:
reference_filepath = tempfile.NamedTemporaryFile(dir=tmp_dir, suffix=".fa").name
# build bfast indexes
os.symlink(options.ref, reference_filepath)
# bfast fast2brg
try:
nuc_space = ["0"]
if options.space == "1":
# color space localalign appears to require nuc space brg
nuc_space.append("1")
for space in nuc_space:
cmd = 'bfast fasta2brg -f "%s" -A "%s" %s' % (reference_filepath, space, all_cmd_options)
tmp = tempfile.NamedTemporaryFile(dir=tmp_dir).name
tmp_stderr = open(tmp, "wb")
proc = subprocess.Popen(args=cmd, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno())
returncode = proc.wait()
tmp_stderr.close()
# get stderr, allowing for case where it's very large
tmp_stderr = open(tmp, "rb")
stderr = ""
try:
while True:
stderr += tmp_stderr.read(buffsize)
if not stderr or len(stderr) % buffsize != 0:
break
except OverflowError:
pass
tmp_stderr.close()
if returncode != 0:
raise Exception(stderr)
except Exception as e:
raise Exception("Error in 'bfast fasta2brg'.\n" + str(e))
# bfast index
try:
all_index_cmds = 'bfast index %s -f "%s" -A "%s" -n "%s"' % (
all_cmd_options,
reference_filepath,
options.space,
options.numThreads,
)
if options.indexRepeatMasker:
all_index_cmds += " -R"
if options.indexContigOptions:
index_contig_options = [int(_) for _ in options.indexContigOptions.split(",")]
if index_contig_options[0] >= 0:
all_index_cmds += ' -s "%s"' % index_contig_options[0]
if index_contig_options[1] >= 0:
all_index_cmds += ' -S "%s"' % index_contig_options[1]
if index_contig_options[2] >= 0:
all_index_cmds += ' -e "%s"' % index_contig_options[2]
if index_contig_options[3] >= 0:
all_index_cmds += ' -E "%s"' % index_contig_options[3]
elif options.indexExonsFileName:
all_index_cmds += ' -x "%s"' % options.indexExonsFileName
index_count = 1
for mask, hash_width in [mask.split(":") for mask in options.indexMask.split(",")]:
cmd = '%s -m "%s" -w "%s" -i "%i"' % (all_index_cmds, mask, hash_width, index_count)
tmp = tempfile.NamedTemporaryFile(dir=tmp_dir).name
tmp_stderr = open(tmp, "wb")
proc = subprocess.Popen(args=cmd, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno())
returncode = proc.wait()
tmp_stderr.close()
# get stderr, allowing for case where it's very large
tmp_stderr = open(tmp, "rb")
stderr = ""
try:
while True:
stderr += tmp_stderr.read(buffsize)
if not stderr or len(stderr) % buffsize != 0:
break
except OverflowError:
pass
tmp_stderr.close()
if returncode != 0:
raise Exception(stderr)
index_count += 1
except Exception as e:
raise Exception("Error in 'bfast index'.\n" + str(e))
else:
reference_filepath = options.ref
assert reference_filepath and os.path.exists(reference_filepath), "A valid genome reference was not provided."
# set up aligning and generate aligning command options
# set up temp output files
tmp_bmf = tempfile.NamedTemporaryFile(dir=tmp_dir)
tmp_bmf_name = tmp_bmf.name
tmp_bmf.close()
tmp_baf = tempfile.NamedTemporaryFile(dir=tmp_dir)
tmp_baf_name = tmp_baf.name
tmp_baf.close()
bfast_match_cmd = 'bfast match -f "%s" -r "%s" -n "%s" -A "%s" -T "%s" -w "%s" %s' % (
reference_filepath,
options.fastq,
options.numThreads,
options.space,
tmp_dir,
options.whichStrand,
all_cmd_options,
)
bfast_localalign_cmd = 'bfast localalign -f "%s" -m "%s" -n "%s" -A "%s" -o "%s" %s' % (
reference_filepath,
tmp_bmf_name,
options.numThreads,
options.space,
options.offset,
all_cmd_options,
)
bfast_postprocess_cmd = 'bfast postprocess -O 1 -f "%s" -i "%s" -n "%s" -A "%s" -a "%s" %s' % (
reference_filepath,
tmp_baf_name,
options.numThreads,
options.space,
options.algorithm,
all_cmd_options,
)
if options.offsets:
bfast_match_cmd += ' -o "%s"' % options.offsets
if options.keySize >= 0:
bfast_match_cmd += ' -k "%s"' % options.keySize
if options.maxKeyMatches >= 0:
bfast_match_cmd += ' -K "%s"' % options.maxKeyMatches
if options.maxNumMatches >= 0:
bfast_match_cmd += ' -M "%s"' % options.maxNumMatches
bfast_localalign_cmd += ' -M "%s"' % options.maxNumMatches
if options.scoringMatrixFileName:
bfast_localalign_cmd += ' -x "%s"' % options.scoringMatrixFileName
bfast_postprocess_cmd += ' -x "%s"' % options.scoringMatrixFileName
if options.ungapped:
bfast_localalign_cmd += " -u"
if options.unconstrained:
bfast_localalign_cmd += " -U"
if options.avgMismatchQuality >= 0:
bfast_localalign_cmd += ' -q "%s"' % options.avgMismatchQuality
bfast_postprocess_cmd += ' -q "%s"' % options.avgMismatchQuality
if options.algorithm == 3:
if options.pairedEndInfer:
bfast_postprocess_cmd += " -P"
if options.randomBest:
bfast_postprocess_cmd += " -z"
if options.unpaired:
bfast_postprocess_cmd += " -U"
if options.reverseStrand:
bfast_postprocess_cmd += " -R"
# instead of using temp files, should we stream through pipes?
bfast_match_cmd += " > %s" % tmp_bmf_name
bfast_localalign_cmd += " > %s" % tmp_baf_name
bfast_postprocess_cmd += " > %s" % options.output
# need to nest try-except in try-finally to handle 2.4
try:
# bfast 'match'
try:
tmp = tempfile.NamedTemporaryFile(dir=tmp_dir).name
tmp_stderr = open(tmp, "wb")
proc = subprocess.Popen(args=bfast_match_cmd, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno())
returncode = proc.wait()
tmp_stderr.close()
# get stderr, allowing for case where it's very large
tmp_stderr = open(tmp, "rb")
stderr = ""
try:
while True:
stderr += tmp_stderr.read(buffsize)
if not stderr or len(stderr) % buffsize != 0:
break
except OverflowError:
pass
tmp_stderr.close()
if returncode != 0:
raise Exception(stderr)
except Exception as e:
raise Exception("Error in 'bfast match'. \n" + str(e))
# bfast 'localalign'
try:
tmp = tempfile.NamedTemporaryFile(dir=tmp_dir).name
tmp_stderr = open(tmp, "wb")
proc = subprocess.Popen(args=bfast_localalign_cmd, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno())
returncode = proc.wait()
tmp_stderr.close()
# get stderr, allowing for case where it's very large
tmp_stderr = open(tmp, "rb")
stderr = ""
try:
while True:
stderr += tmp_stderr.read(buffsize)
if not stderr or len(stderr) % buffsize != 0:
break
except OverflowError:
pass
tmp_stderr.close()
if returncode != 0:
raise Exception(stderr)
except Exception as e:
raise Exception("Error in 'bfast localalign'. \n" + str(e))
# bfast 'postprocess'
try:
tmp = tempfile.NamedTemporaryFile(dir=tmp_dir).name
tmp_stderr = open(tmp, "wb")
proc = subprocess.Popen(args=bfast_postprocess_cmd, shell=True, cwd=tmp_dir, stderr=tmp_stderr.fileno())
returncode = proc.wait()
tmp_stderr.close()
# get stderr, allowing for case where it's very large
tmp_stderr = open(tmp, "rb")
stderr = ""
try:
while True:
stderr += tmp_stderr.read(buffsize)
if not stderr or len(stderr) % buffsize != 0:
break
except OverflowError:
pass
tmp_stderr.close()
if returncode != 0:
raise Exception(stderr)
except Exception as e:
raise Exception("Error in 'bfast postprocess'. \n" + str(e))
# remove header if necessary
if options.suppressHeader:
tmp_out = tempfile.NamedTemporaryFile(dir=tmp_dir)
tmp_out_name = tmp_out.name
tmp_out.close()
try:
shutil.move(options.output, tmp_out_name)
except Exception as e:
raise Exception("Error moving output file before removing headers. \n" + str(e))
fout = open(options.output, "w")
for line in open(tmp_out.name):
if len(line) < 3 or line[0:3] not in ["@HD", "@SQ", "@RG", "@PG", "@CO"]:
fout.write(line)
fout.close()
# check that there are results in the output file
if os.path.getsize(options.output) > 0:
if "0" == options.space:
sys.stdout.write("BFAST run on Base Space data")
else:
sys.stdout.write("BFAST run on Color Space data")
else:
raise Exception(
"The output file is empty. You may simply have no matches, or there may be an error with your input file or settings."
)
except Exception as e:
stop_err("The alignment failed.\n" + str(e))
finally:
# clean up temp dir
if os.path.exists(tmp_dir):
shutil.rmtree(tmp_dir)
if __name__ == "__main__":
__main__()