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radia.py
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#!/usr/bin/env python
import sys
import argparse
import os
import re
import shutil
import subprocess
import tempfile
import time
from multiprocessing import Pool
def execute(cList):
import shlex
""" function to execute a cmd and report if an error occurs. Takes in a list with one or two arguments, the second one optionally being the output file"""
cmd = cList[0]
print(cmd)
try:
output = cList[1]
except:
output = None
try:
process = subprocess.Popen(args=shlex.split(
cmd), stdout=subprocess.PIPE, stderr=subprocess.PIPE)
stdout, stderr = process.communicate()
except Exception as e: # error from my command : stderr
sys.stderr.write("problem doing : %s\n%s\n" % (cmd, e))
return 1
if output:
output = open(output, 'w')
output.write(stdout)
output.close()
if stderr != '': # internal program error : stdout
sys.stdout.write(
"warning or error while doing : %s\n-----\n%s-----\n\n" %
(cmd, stderr))
return 1
return 0
def indexBam(workdir, prefix, inputBamFile, inputBamFileIndex=None):
inputBamLink = os.path.join(os.path.abspath(workdir), prefix + ".bam")
os.symlink(inputBamFile, inputBamLink)
if os.path.exists(inputBamFile + ".bai"):
inputBamFileIndex = inputBamFile + ".bai"
if inputBamFileIndex is None or inputBamFileIndex == "None":
cmd = "samtools index %s" % (inputBamLink)
execute([cmd])
else:
os.symlink(inputBamFileIndex, inputBamLink + ".bai")
return inputBamLink
def indexFasta(
workdir,
inputFastaFile,
inputFastaFileIndex=None,
prefix="dna"):
"""Checks if fasta index exists. If so, creates link. If not, creates index"""
inputFastaLink = os.path.join(
os.path.abspath(workdir), prefix + "_reference.fa")
os.symlink(inputFastaFile, inputFastaLink)
inputFastaFileIndex = inputFastaFile + ".fai"
if os.path.exists(inputFastaFileIndex):
os.symlink(inputFastaFileIndex, inputFastaLink + ".fai")
else:
cmd = "samtools faidx %s" % (inputFastaLink)
execute([cmd])
return inputFastaLink
def idxStats(bamfile):
"""runs samtools idxstats"""
samtools = which("samtools")
cmd = [samtools, "idxstats", bamfile]
process = subprocess.Popen(args=cmd, stdout=subprocess.PIPE)
stdout, stderr = process.communicate()
return stdout
def mitName(idx):
"""Returns the mitochondrion chromosome ID used in the bam file if it starts with M (usually it is called M or MT)"""
for line in idx.split("\n"):
tmp = line.split("\t")
if len(tmp) == 4 and tmp[0].startswith("chrM"):
return tmp[0][3:] # remove chr
if len(tmp) == 4 and tmp[0].startswith("M"):
return tmp[0]
return 'M' # not found, so does not matter
def bamChrScan(idx):
"""Checks if the bam chromosome IDs start with chr"""
for line in idx.split("\n"):
tmp = line.split("\t")
if len(tmp) == 4 and tmp[0].startswith("chr"):
return True
return False
def addNumsAndQuals(args, cmd, sample):
"""Append mapping quality parameters to radia command"""
if sample == 'dnaNormal':
cmd += " --dnaNormalDescription %s --dnaNormalMinTotalBases %d --dnaNormalMinAltBases %d --dnaNormalBaseQual %d --dnaNormalMapQual %d" % (
args.dnaNormalDesc, args.dnaNormalMinTotalBases, args.dnaNormalMinAltBases, args.dnaNormalMinBaseQual, args.dnaNormalMinMappingQual)
return cmd
if sample == 'dnaTumor':
cmd += " --dnaTumorDescription %s --dnaTumorMinTotalBases %d --dnaTumorMinAltBases %d --dnaTumorBaseQual %d --dnaTumorMapQual %d" % (
args.dnaTumorDesc, args.dnaTumorMinTotalBases, args.dnaTumorMinAltBases, args.dnaTumorMinBaseQual, args.dnaTumorMinMappingQual)
return cmd
if sample == 'rnaNormal':
cmd += " --rnaNormalDescription %s --rnaNormalMinTotalBases %d --rnaNormalMinAltBases %d --rnaNormalBaseQual %d --rnaNormalMapQual %d" % (
args.rnaNormalDesc, args.rnaNormalMinTotalBases, args.rnaNormalMinAltBases, args.rnaNormalMinBaseQual, args.rnaNormalMinMappingQual)
return cmd
if sample == 'rnaTumor':
cmd += " --rnaTumorDescription %s --rnaTumorMinTotalBases %d --rnaTumorMinAltBases %d --rnaTumorBaseQual %d --rnaTumorMapQual %d" % (
args.rnaTumorDesc, args.rnaTumorMinTotalBases, args.rnaTumorMinAltBases, args.rnaTumorMinBaseQual, args.rnaTumorMinMappingQual)
return cmd
def radia(
chrom,
args,
outputDir,
dnaNormalFilename=None,
rnaNormalFilename=None,
dnaTumorFilename=None,
rnaTumorFilename=None,
dnaNormalFastaFilename=None,
rnaNormalFastaFilename=None,
dnaTumorFastaFilename=None,
rnaTumorFastaFilename=None):
# python radia.py id chrom [Options]
# -i GRCh37
# -m Homo_sapiens_assembly19.fasta
# -d CGHub
# -q Illumina
# --disease GBM
# quadruplets
if (rnaNormalFilename is not None and rnaTumorFilename is not None):
cmd = "python %s/radia.py %s %s -n %s -x %s -t %s -r %s --dnaNormalFasta %s --rnaNormalFasta %s --dnaTumorFasta %s --rnaTumorFasta %s " % (
args.scriptsDir,
args.patientId, chrom,
dnaNormalFilename,
rnaNormalFilename,
dnaTumorFilename,
rnaTumorFilename,
dnaNormalFastaFilename, rnaNormalFastaFilename, dnaTumorFastaFilename, rnaTumorFastaFilename)
cmd = addNumsAndQuals(args, cmd, "dnaNormal")
cmd = addNumsAndQuals(args, cmd, "dnaTumor")
cmd = addNumsAndQuals(args, cmd, "rnaTumor")
cmd = addNumsAndQuals(args, cmd, "rnaNormal")
# triplets
elif (rnaTumorFilename is not None):
cmd = "python %s/radia.py %s %s -n %s -t %s -r %s --dnaNormalFasta %s --dnaTumorFasta %s --rnaTumorFasta %s " % (
args.scriptsDir,
args.patientId, chrom,
dnaNormalFilename,
dnaTumorFilename,
rnaTumorFilename,
dnaNormalFastaFilename, dnaTumorFastaFilename, rnaTumorFastaFilename)
cmd = addNumsAndQuals(args, cmd, "dnaNormal")
cmd = addNumsAndQuals(args, cmd, "dnaTumor")
cmd = addNumsAndQuals(args, cmd, "rnaTumor")
# pairs
else:
cmd = "python %s/radia.py %s %s -n %s -t %s --dnaNormalFasta %s --dnaTumorFasta %s " % (
args.scriptsDir,
args.patientId, chrom,
dnaNormalFilename,
dnaTumorFilename,
dnaNormalFastaFilename, dnaTumorFastaFilename)
cmd = addNumsAndQuals(args, cmd, "dnaNormal")
cmd = addNumsAndQuals(args, cmd, "dnaTumor")
# determine naming for chromosomes (with or without 'chr') and
# mitochondrion (M or something starting with M)
if dnaNormalFilename is not None:
idx = idxStats(dnaNormalFilename)
cmd += ' --dnaNormalMitochon=' + mitName(idx)
if rnaNormalFilename is not None:
idx = idxStats(rnaNormalFilename)
cmd += ' --rnaNormalMitochon=' + mitName(idx)
if dnaTumorFilename is not None:
idx = idxStats(dnaTumorFilename)
cmd += ' --dnaTumorMitochon=' + mitName(idx)
if rnaTumorFilename is not None:
idx = idxStats(rnaTumorFilename)
cmd += ' --rnaTumorMitochon=' + mitName(idx)
# add genotype parameters
cmd += ' --genotypeMinDepth %d --genotypeMinPct %.3f' % (
args.genotypeMinDepth,
args.genotypeMinPct)
# vcf header arguments
if args.refId:
cmd += ' --refId %s' % args.refId
if args.refUrl:
cmd += ' --refUrl %s' % args.refUrl
if args.refFilename:
cmd += ' --refFilename %s' % args.refFilename
if args.dataSource:
cmd += ' --dataSource %s' % args.dataSource
if args.sequencingPlatform:
cmd += ' --sequencingPlatform %s' % args.sequencingPlatform
if args.disease:
cmd += ' --disease %s' % args.disease
outfile = os.path.join(outputDir, args.patientId + "_chr" + chrom + ".vcf")
if args.gzip:
cmd += ' --gzip '
outfile += '.gz'
return cmd, outfile
def radiaMerge(args, inputDir):
"""Merges vcf files if they follow the pattern patientID_chr<N>.vcf(.gz)"""
# python mergeChroms.py patientId /radia/filteredChroms/ /radia/filteredPatients/ --gzip
# -h, --help show this help message and exit
# -o OUTPUT_FILE, --outputFilename=OUTPUT_FILE
# the name of the output file, <id>.vcf(.gz) by default
# -l LOG, --log=LOG the logging level (DEBUG, INFO, WARNING, ERROR,
# CRITICAL), WARNING by default
# -g LOG_FILE, --logFilename=LOG_FILE
# the name of the log file, STDOUT by default
# --gzip include this argument if the final VCF should be
# compressed with gzip
# radia works in the workdir
cmd = "python %s/mergeChroms.py %s %s %s -o %s" % (
args.scriptsDir,
args.patientId, inputDir, args.workdir,
args.outputFilename)
return cmd
def which(cmd):
cmd = ["which", cmd]
p = subprocess.Popen(cmd, stdout=subprocess.PIPE)
res = p.stdout.readline().rstrip()
if len(res) == 0:
return None
return res
def identicalName(inputList):
"""returns duplicate name if two inputs have the same name and are not None"""
dup = set(x for x in inputList if inputList.count(x) >= 2)
dup.discard(None) # this doesn't complain if None is not in the set
if dup:
print "ERROR: found duplicate input %s" % dup.pop()
return True
return False
def removeSpaces(mystring):
if mystring:
return ("_").join(mystring.split(" "))
return False
def get_bam_seq(inputBamFile, exclude):
samtools = which("samtools")
cmd = [samtools, "idxstats", inputBamFile]
print "calling", cmd
process = subprocess.Popen(args=cmd, stdout=subprocess.PIPE)
stdout, stderr = process.communicate()
seqs = []
for line in stdout.split("\n"):
tmp = line.split("\t")
if len(tmp) == 4 and tmp[2] != "0":
seqs.append(tmp[0])
pattern = "|".join(exclude)
r = re.compile(pattern)
return filter(lambda i: not r.match(i), seqs)
def __main__():
# small hack, sometimes it seems like docker file systems are avalible
# instantly
time.sleep(1)
parser = argparse.ArgumentParser(
description="RNA and DNA Integrated Analysis (RADIA)")
#############################
# RADIA params #
#############################
parser.add_argument(
"-o",
"--outputFilename",
dest="outputFilename",
metavar="OUTPUT_FILE",
default='out.vcf',
help="the name of the output file")
parser.add_argument(
"--outputDir",
dest="outputDir",
default='./',
metavar="FILTER_OUT_DIR",
help="the directory where temporary and final filtered output should be stored")
parser.add_argument(
"--scriptsDir",
dest="scriptsDir",
default='/opt/radia-1.1.5/scripts',
metavar="SCRIPTS_DIR",
help="the directory that contains the RADIA filter scripts")
parser.add_argument(
"--patientId",
dest="patientId",
required=True,
metavar="PATIENT_ID",
help="a unique patient Id that will be used to name the output file")
parser.add_argument(
"-f",
"--fastaFilename",
dest="fastaFilename",
metavar="FASTA_FILE",
help="the name of the fasta file that can be used on all .bams, see below for specifying individual fasta files for each .bam file")
parser.add_argument(
"-i",
"--refId",
dest="refId",
metavar="REF_ID",
help="the reference Id - used in the reference VCF meta tag")
parser.add_argument(
"-u",
"--refUrl",
dest="refUrl",
metavar="REF_URL",
help="the URL for the reference - used in the reference VCF meta tag")
parser.add_argument(
"-m",
"--refFilename",
dest="refFilename",
metavar="REF_FILE",
help="the location of the reference - used in the reference VCF meta tag")
##### not implemented in this wrapper ####
parser.add_argument(
"-a",
"--startCoordinate",
type=int,
default=int(1),
dest="startCoordinate",
metavar="START_COORDINATE",
help="the start coordinate for testing small regions, default 1")
parser.add_argument(
"-z",
"--stopCoordinate",
type=int,
default=int(0),
dest="stopCoordinate",
metavar="STOP_COORDINATE",
help="the stop coordinate for testing small regions, default 0")
parser.add_argument(
"-s",
"--statsDir",
dest="statsDir",
metavar="STATS_DIR",
help="a stats directory where some basic stats can be output")
parser.add_argument(
"-g",
"--logFilename",
dest="logFilename",
metavar="LOG_FILE",
help="the name of the log file, STDOUT by default")
parser.add_argument(
"-b",
"--batchSize",
type=int,
dest="batchSize",
default=int(250000000),
metavar="BATCH_SIZE",
help="the size of the samtool selections that are loaded into memory at one time, 250000000 by default")
############################################
parser.add_argument(
"-d",
"--dataSource",
dest="dataSource",
metavar="DATA_SOURCE",
help="the source of the data - used in the sample VCF meta tag")
parser.add_argument(
"-q",
"--sequencingPlatform",
dest="sequencingPlatform",
metavar="SEQ_PLATFORM",
help="the sequencing platform - used in the sample VCF meta tag")
parser.add_argument(
"--disease",
dest="disease",
metavar="DISEASE",
help="a disease abbreviation (i.e. BRCA) for the header")
parser.add_argument(
"--genotypeMinDepth",
type=int,
default=int(2),
dest="genotypeMinDepth",
metavar="GT_MIN_DP",
help="the minimum number of bases required for the genotype, default 2")
parser.add_argument(
"--genotypeMinPct",
type=float,
default=float(.10),
dest="genotypeMinPct",
metavar="GT_MIN_PCT",
help="the minimum percentage of reads required for the genotype, default .10")
parser.add_argument(
"--gzip",
action="store_true",
default=False,
dest="gzip",
help="include this argument if the final VCF should be compressed with gzip")
# params for normal DNA
parser.add_argument(
"-n",
"--dnaNormalFilename",
dest="dnaNormalFilename",
metavar="DNA_NORMAL_FILE",
help="the name of the normal DNA .bam file")
parser.add_argument(
"--dnaNormalBaiFilename",
dest="dnaNormalBaiFilename",
metavar="DNA_NORMAL_BAI_FILE",
help="the name of the normal DNA .bai file")
parser.add_argument(
"--dnaNormalMinTotalBases",
type=int,
default=int(4),
dest="dnaNormalMinTotalBases",
metavar="DNA_NOR_MIN_TOTAL_BASES",
help="the minimum number of overall normal DNA reads covering a position, default 4")
parser.add_argument(
"--dnaNormalMinAltBases",
type=int,
default=int(2),
dest="dnaNormalMinAltBases",
metavar="DNA_NOR_MIN_ALT_BASES",
help="the minimum number of alternative normal DNA reads supporting a variant at a position, default 2")
parser.add_argument(
"--dnaNormalBaseQual",
type=int,
default=int(10),
dest="dnaNormalMinBaseQual",
metavar="DNA_NOR_BASE_QUAL",
help="the minimum normal DNA base quality, default 10")
parser.add_argument(
"--dnaNormalMapQual",
type=int,
default=int(10),
dest="dnaNormalMinMappingQual",
metavar="DNA_NOR_MAP_QUAL",
help="the minimum normal DNA mapping quality, default 10")
parser.add_argument(
"--dnaNormalFasta",
dest="dnaNormalFastaFilename",
metavar="DNA_NOR_FASTA_FILE",
help="the name of the fasta file for the normal DNA .bam file")
parser.add_argument(
"--dnaNormalDescription",
default="NormalDNASample",
dest="dnaNormalDesc",
metavar="DNA_NOR_DESC",
help="the description for the sample in the VCF header, default NormalDNASample")
# params for normal RNA
parser.add_argument(
"-x",
"--rnaNormalFilename",
dest="rnaNormalFilename",
metavar="RNA_NORMAL_FILE",
help="the name of the normal RNA-Seq .bam file")
parser.add_argument(
"--rnaNormalBaiFilename",
dest="rnaNormalBaiFilename",
metavar="RNA_NORMAL_BAI_FILE",
help="the name of the normal RNA .bai file")
parser.add_argument(
"--rnaNormalMinTotalBases",
type=int,
default=int(4),
dest="rnaNormalMinTotalBases",
metavar="RNA_NOR_MIN_TOTAL_BASES",
help="the minimum number of overall normal RNA-Seq reads covering a position, default 4")
parser.add_argument(
"--rnaNormalMinAltBases",
type=int,
default=int(2),
dest="rnaNormalMinAltBases",
metavar="RNA_NOR_MIN_ALT_BASES",
help="the minimum number of alternative normal RNA-Seq reads supporting a variant at a position, default 2")
parser.add_argument(
"--rnaNormalBaseQual",
type=int,
default=int(10),
dest="rnaNormalMinBaseQual",
metavar="RNA_NOR_BASE_QUAL",
help="the minimum normal RNA-Seq base quality, default 10")
parser.add_argument(
"--rnaNormalMapQual",
type=int,
default=int(10),
dest="rnaNormalMinMappingQual",
metavar="RNA_NOR_MAP_QUAL",
help="the minimum normal RNA-Seq mapping quality, default 10")
parser.add_argument(
"--rnaNormalFasta",
dest="rnaNormalFastaFilename",
metavar="RNA_NOR_FASTA_FILE",
help="the name of the fasta file for the normal RNA .bam file")
parser.add_argument(
"--rnaNormalDescription",
default="NormalRNASample",
dest="rnaNormalDesc",
metavar="RNA_NOR_DESC",
help="the description for the sample in the VCF header,i default NormalRNASample")
# params for tumor DNA
parser.add_argument(
"-t",
"--dnaTumorFilename",
dest="dnaTumorFilename",
metavar="DNA_TUMOR_FILE",
help="the name of the tumor DNA .bam file")
parser.add_argument(
"--dnaTumorBaiFilename",
dest="dnaTumorBaiFilename",
metavar="DNA_TUMOR_BAI_FILE",
help="the name of the tumor DNA .bai file")
parser.add_argument(
"--dnaTumorMinTotalBases",
type=int,
default=int(4),
dest="dnaTumorMinTotalBases",
metavar="DNA_TUM_MIN_TOTAL_BASES",
help="the minimum number of overall tumor DNA reads covering a position, default 4")
parser.add_argument(
"--dnaTumorMinAltBases",
type=int,
default=int(2),
dest="dnaTumorMinAltBases",
metavar="DNA_TUM_MIN_ALT_BASES",
help="the minimum number of alternative tumor DNA reads supporting a variant at a position, default 2")
parser.add_argument(
"--dnaTumorBaseQual",
type=int,
default=int(10),
dest="dnaTumorMinBaseQual",
metavar="DNA_TUM_BASE_QUAL",
help="the minimum tumor DNA base quality, default 10")
parser.add_argument(
"--dnaTumorMapQual",
type=int,
default=int(10),
dest="dnaTumorMinMappingQual",
metavar="DNA_TUM_MAP_QUAL",
help="the minimum tumor DNA mapping quality, default 10")
parser.add_argument(
"--dnaTumorFasta",
dest="dnaTumorFastaFilename",
metavar="DNA_TUM_FASTA_FILE",
help="the name of the fasta file for the tumor DNA .bam file")
parser.add_argument(
"--dnaTumorDescription",
default="TumorDNASample",
dest="dnaTumorDesc",
metavar="DNA_TUM_DESC",
help="the description for the sample in the VCF header, default TumorDNASample")
# params for tumor RNA
parser.add_argument(
"-r",
"--rnaTumorFilename",
dest="rnaTumorFilename",
metavar="RNA_TUMOR_FILE",
help="the name of the tumor RNA-Seq .bam file")
parser.add_argument(
"--rnaTumorBaiFilename",
dest="rnaTumorBaiFilename",
metavar="RNA_TUMOR_BAI_FILE",
help="the name of the tumor RNA .bai file")
parser.add_argument(
"--rnaTumorMinTotalBases",
type=int,
default=int(4),
dest="rnaTumorMinTotalBases",
metavar="RNA_TUM_MIN_TOTAL_BASES",
help="the minimum number of overall tumor RNA-Seq reads covering a position, default 4")
parser.add_argument(
"--rnaTumorMinAltBases",
type=int,
default=int(2),
dest="rnaTumorMinAltBases",
metavar="RNA_TUM_MIN_ALT_BASES",
help="the minimum number of alternative tumor RNA-Seq reads supporting a variant at a position, default 2")
parser.add_argument(
"--rnaTumorBaseQual",
type=int,
default=int(10),
dest="rnaTumorMinBaseQual",
metavar="RNA_TUM_BASE_QUAL",
help="the minimum tumor RNA-Seq base quality, default 10")
parser.add_argument(
"--rnaTumorMapQual",
type=int,
default=int(10),
dest="rnaTumorMinMappingQual",
metavar="RNA_TUM_MAP_QUAL",
help="the minimum tumor RNA-Seq mapping quality, default 10")
parser.add_argument(
"--rnaTumorFasta",
dest="rnaTumorFastaFilename",
metavar="RNA_TUM_FASTA_FILE",
help="the name of the fasta file for the tumor RNA .bam file")
parser.add_argument(
"--rnaTumorDescription",
default="TumorRNASample",
dest="rnaTumorDesc",
metavar="RNA_TUM_DESC",
help="the description for the sample in the VCF header, default TumorRNASample")
# some extra stuff
parser.add_argument('--number_of_procs', dest='procs', type=int, default=1)
parser.add_argument('--workdir', default="./")
parser.add_argument('--no_clean', action="store_true", default=False)
parser.add_argument('--exclude',
type=str,
nargs="+",
default=["hs37d5", "GL.*"],
help="chromosomes/contigs matching these patterns will be excluded from analysis")
args = parser.parse_args()
tempDir = tempfile.mkdtemp(dir="./", prefix="radia_work_")
try:
# if a universal fasta file is specified, then use it
if (args.fastaFilename is not None):
universalFastaFile = indexFasta(
args.workdir, args.fastaFilename, prefix="universal")
# if individual fasta files are specified, they over-ride the universal
# one
if (args.dnaNormalFastaFilename is not None):
i_dnaNormalFastaFilename = indexFasta(
args.workdir, args.dnaNormalFastaFilename, prefix="dnaN")
else:
i_dnaNormalFastaFilename = universalFastaFile
if (args.rnaNormalFastaFilename is not None):
i_rnaNormalFastaFilename = indexFasta(
args.workdir, args.rnaNormalFastaFilename, prefix="rnaN")
else:
i_rnaNormalFastaFilename = universalFastaFile
if (args.dnaTumorFastaFilename is not None):
i_dnaTumorFastaFilename = indexFasta(
args.workdir, args.dnaTumorFastaFilename, prefix="dnaT")
else:
i_dnaTumorFastaFilename = universalFastaFile
if (args.rnaTumorFastaFilename is not None):
i_rnaTumorFastaFilename = indexFasta(
args.workdir, args.rnaTumorFastaFilename, prefix="rnaT")
else:
i_rnaTumorFastaFilename = universalFastaFile
# sanity check: input bam files should all be different
if identicalName([args.dnaNormalFilename,
args.dnaTumorFilename,
args.rnaNormalFilename,
args.rnaTumorFilename]):
raise Exception("ERROR: Found duplicate input bam file")
if (args.dnaNormalFilename is not None):
i_dnaNormalFilename = indexBam(
workdir=args.workdir,
inputBamFile=args.dnaNormalFilename,
inputBamFileIndex=args.dnaNormalBaiFilename,
prefix="dnaNormal")
else:
i_dnaNormalFilename = None
if (args.dnaTumorFilename is not None):
i_dnaTumorFilename = indexBam(
workdir=args.workdir,
inputBamFile=args.dnaTumorFilename,
inputBamFileIndex=args.dnaTumorBaiFilename,
prefix="dnaTumor")
else:
i_dnaTumorFilename = None
if (args.rnaNormalFilename is not None):
i_rnaNormalFilename = indexBam(
workdir=args.workdir,
inputBamFile=args.rnaNormalFilename,
inputBamFileIndex=args.rnaNormalBaiFilename,
prefix="rnaNormal")
else:
i_rnaNormalFilename = None
if (args.rnaTumorFilename is not None):
i_rnaTumorFilename = indexBam(
workdir=args.workdir,
inputBamFile=args.rnaTumorFilename,
inputBamFileIndex=args.rnaTumorBaiFilename,
prefix="rnaTumor")
else:
i_rnaTumorFilename = None
# clean input descriptions (this matters if we want to create TCGA
# compliant headers in radia_filter)
args.dnaNormalDesc = removeSpaces(args.dnaNormalDesc)
args.dnaTumorDesc = removeSpaces(args.dnaTumorDesc)
args.rnaNormalDesc = removeSpaces(args.rnaNormalDesc)
args.rnaTumorDesc = removeSpaces(args.rnaTumorDesc)
radiaOuts = []
chroms = get_bam_seq(i_dnaNormalFilename, args.exclude)
if args.procs == 1:
for chrom in chroms:
cmd, radiaOutput = radia(chrom, args, tempDir,
dnaNormalFilename=i_dnaNormalFilename, rnaNormalFilename=i_rnaNormalFilename,
dnaTumorFilename=i_dnaTumorFilename, rnaTumorFilename=i_rnaTumorFilename,
dnaNormalFastaFilename=i_dnaNormalFastaFilename, rnaNormalFastaFilename=i_rnaNormalFastaFilename,
dnaTumorFastaFilename=i_dnaTumorFastaFilename, rnaTumorFastaFilename=i_rnaTumorFastaFilename)
if execute([cmd, radiaOutput]):
raise Exception("Radia Call failed")
radiaOuts.append(radiaOutput)
else:
cmds = []
for chrom in chroms:
# create the RADIA commands
cmd, radiaOutput = radia(chrom, args, tempDir,
i_dnaNormalFilename, i_rnaNormalFilename, i_dnaTumorFilename, i_rnaTumorFilename,
i_dnaNormalFastaFilename, i_rnaNormalFastaFilename, i_dnaTumorFastaFilename, i_rnaTumorFastaFilename)
cmds.append(cmd)
radiaOuts.append(radiaOutput)
p = Pool(args.procs)
# pool.map only accepts one input, so make that a list
combiCmds = zip(cmds, radiaOuts)
values = p.map(execute, combiCmds, 1)
# even though we have a list of radia output files, we don't really need it:
# the radiaMerge command only uses the output directory and patient
# name
cmd = radiaMerge(args, tempDir)
if execute([cmd]):
raise Exception("RadiaMerge Call failed")
finally:
if not args.no_clean and os.path.exists(tempDir):
shutil.rmtree(tempDir)
if __name__ == "__main__":
__main__()