def align_and_count_hits(inBam,
refFasta,
outCounts,
includeZeros=False,
JVMmemory=None):
''' Take reads, align to reference with Novoalign and return aligned
read counts for each reference sequence.
'''
bam_aligned = mkstempfname('.aligned.bam')
tools.novoalign.NovoalignTool().execute(inBam,
refFasta,
bam_aligned,
options=['-r', 'Random'],
JVMmemory=JVMmemory)
samtools = tools.samtools.SamtoolsTool()
seqs = list(
dict(x.split(':', 1) for x in row[1:])['SN']
for row in samtools.getHeader(bam_aligned) if row[0] == '@SQ')
with util.file.open_or_gzopen(outCounts, 'w') as outf:
for seq in seqs:
n = samtools.count(bam_aligned, regions=[seq])
if n > 0 or includeZeros:
outf.write("{}\t{}\n".format(seq, n))
os.unlink(bam_aligned)
def align_and_count_hits(inBam, refFasta, outCounts, includeZeros=False,
JVMmemory=None, threads=1):
''' Take reads, align to reference with Novoalign and return aligned
read counts for each reference sequence.
'''
bam_aligned = mkstempfname('.aligned.bam')
tools.novoalign.NovoalignTool().execute(
inBam,
refFasta,
bam_aligned,
options=['-r', 'Random'],
JVMmemory=JVMmemory)
samtools = tools.samtools.SamtoolsTool()
seqs = list(dict(x.split(':', 1) for x in row[1:])['SN']
for row in samtools.getHeader(bam_aligned)
if row[0]=='@SQ')
with util.file.open_or_gzopen(outCounts, 'w') as outf:
for seq in seqs:
n = samtools.count(bam_aligned, regions=[seq])
if n>0 or includeZeros:
outf.write("{}\t{}\n".format(seq, n))
os.unlink(bam_aligned)
def split_bam(inBam, outBams):
'''Split BAM file equally into several output BAM files. '''
samtools = tools.samtools.SamtoolsTool()
picard = tools.picard.PicardTools()
# get totalReadCount and maxReads
# maxReads = totalReadCount / num files, but round up to the nearest
# even number in order to keep read pairs together (assuming the input
# is sorted in query order and has no unmated reads, which can be
# accomplished by Picard RevertSam with SANITIZE=true)
totalReadCount = samtools.count(inBam)
maxReads = int(math.ceil(float(totalReadCount) / len(outBams) / 2) * 2)
log.info("splitting %d reads into %d files of %d reads each",
totalReadCount, len(outBams), maxReads)
# load BAM header into memory
header = samtools.getHeader(inBam)
if 'SO:queryname' not in header[0]:
raise Exception('Input BAM file must be sorted in queryame order')
# dump to bigsam
bigsam = mkstempfname('.sam')
samtools.view([], inBam, bigsam)
# split bigsam into little ones
with util.file.open_or_gzopen(bigsam, 'rt') as inf:
for outBam in outBams:
log.info("preparing file " + outBam)
tmp_sam_reads = mkstempfname('.sam')
with open(tmp_sam_reads, 'wt') as outf:
for row in header:
outf.write('\t'.join(row) + '\n')
for _ in range(maxReads):
line = inf.readline()
if not line:
break
outf.write(line)
if outBam == outBams[-1]:
for line in inf:
outf.write(line)
picard.execute("SamFormatConverter", [
'INPUT=' + tmp_sam_reads, 'OUTPUT=' + outBam,
'VERBOSITY=WARNING'
],
JVMmemory='512m')
os.unlink(tmp_sam_reads)
os.unlink(bigsam)
def split_bam(inBam, outBams):
'''Split BAM file equally into several output BAM files. '''
samtools = tools.samtools.SamtoolsTool()
picard = tools.picard.PicardTools()
# get totalReadCount and maxReads
# maxReads = totalReadCount / num files, but round up to the nearest
# even number in order to keep read pairs together (assuming the input
# is sorted in query order and has no unmated reads, which can be
# accomplished by Picard RevertSam with SANITIZE=true)
totalReadCount = samtools.count(inBam)
maxReads = int(math.ceil(float(totalReadCount) / len(outBams) / 2) * 2)
log.info("splitting %d reads into %d files of %d reads each", totalReadCount, len(outBams), maxReads)
# load BAM header into memory
header = samtools.getHeader(inBam)
if 'SO:queryname' not in header[0]:
raise Exception('Input BAM file must be sorted in queryame order')
# dump to bigsam
bigsam = mkstempfname('.sam')
samtools.view([], inBam, bigsam)
# split bigsam into little ones
with util.file.open_or_gzopen(bigsam, 'rt') as inf:
for outBam in outBams:
log.info("preparing file " + outBam)
tmp_sam_reads = mkstempfname('.sam')
with open(tmp_sam_reads, 'wt') as outf:
for row in header:
outf.write('\t'.join(row) + '\n')
for _ in range(maxReads):
line = inf.readline()
if not line:
break
outf.write(line)
if outBam == outBams[-1]:
for line in inf:
outf.write(line)
picard.execute(
"SamFormatConverter", [
'INPUT=' + tmp_sam_reads, 'OUTPUT=' + outBam, 'VERBOSITY=WARNING'
],
JVMmemory='512m'
)
os.unlink(tmp_sam_reads)
os.unlink(bigsam)
def align_one_rg_bam(self, inBam, refFasta, outBam, rgid=None, rgs=None, options=None, min_qual=0, JVMmemory=None):
''' Execute Novoalign on BAM inputs and outputs.
Requires that only one RG exists (will error otherwise).
Use Picard to sort and index the output BAM.
If min_qual>0, use Samtools to filter on mapping quality.
'''
options = options or ["-r", "Random"]
samtools = tools.samtools.SamtoolsTool()
# Require exactly one RG
rgs = rgs if rgs is not None else samtools.getReadGroups(inBam)
if len(rgs) == 0:
raise InvalidBamHeaderError("{} lacks read groups".format(inBam))
elif len(rgs) == 1:
if not rgid:
rgid = list(rgs.keys())[0]
elif not rgid:
raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs)))
if rgid not in rgs:
raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid))
#rg = rgs[rgid]
# Strip inBam to just one RG (if necessary)
if len(rgs) == 1:
one_rg_inBam = inBam
else:
# strip inBam to one read group
tmp_bam = util.file.mkstempfname('.onebam.bam')
samtools.view(['-b', '-r', rgid], inBam, tmp_bam)
# special exit if this file is empty
if samtools.count(tmp_bam) == 0:
return
# simplify BAM header otherwise Novoalign gets confused
one_rg_inBam = util.file.mkstempfname('.{}.in.bam'.format(rgid))
headerFile = util.file.mkstempfname('.{}.header.txt'.format(rgid))
with open(headerFile, 'wt') as outf:
for row in samtools.getHeader(inBam):
if len(row) > 0 and row[0] == '@RG':
if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]:
# skip all read groups that are not rgid
continue
outf.write('\t'.join(row) + '\n')
samtools.reheader(tmp_bam, headerFile, one_rg_inBam)
os.unlink(tmp_bam)
os.unlink(headerFile)
# Novoalign
tmp_sam = util.file.mkstempfname('.novoalign.sam')
tmp_sam_err = util.file.mkstempfname('.novoalign.sam.err')
cmd = [self.install_and_get_path(), '-f', one_rg_inBam] + list(map(str, options))
cmd = cmd + ['-F', 'BAM', '-d', self._fasta_to_idx_name(refFasta), '-o', 'SAM']
_log.debug(' '.join(cmd))
with open(tmp_sam, 'wt') as outf:
util.misc.run_and_save(cmd, outf=outf)
# Samtools filter (optional)
if min_qual:
tmp_bam2 = util.file.mkstempfname('.filtered.bam')
cmd = [samtools.install_and_get_path(), 'view', '-b', '-S', '-1', '-q', str(min_qual), tmp_sam]
_log.debug('%s > %s', ' '.join(cmd), tmp_bam2)
with open(tmp_bam2, 'wb') as outf:
util.misc.run_and_save(cmd, outf=outf)
os.unlink(tmp_sam)
tmp_sam = tmp_bam2
# Picard SortSam
sorter = tools.picard.SortSamTool()
sorter.execute(
tmp_sam,
outBam,
sort_order='coordinate',
picardOptions=['CREATE_INDEX=true', 'VALIDATION_STRINGENCY=SILENT'],
JVMmemory=JVMmemory
)
def align_mem_one_rg(self,
inBam,
refDb,
outBam,
rgid=None,
options=None,
min_score_to_filter=None,
threads=None,
JVMmemory=None,
invert_filter=False,
should_index=True):
"""
Performs an alignment of one read group in a bam file to a reference fasta file
TODO: With the addition of a third aligner to viral-ngs, the functionality
common to this method and to the comparable method in the Novoalign wrapper should
be broken out as an "aligner" superclass, capable of aligning bam or fastq files with an arbitrary
aligner, while preserving read groups.
"""
options = options or []
samtools = tools.samtools.SamtoolsTool()
# Require exactly one RG
rgs = samtools.getReadGroups(inBam)
if len(rgs) == 0:
raise InvalidBamHeaderError("{} lacks read groups".format(inBam))
elif len(rgs) == 1:
if not rgid:
rgid = list(rgs.keys())[0]
elif not rgid:
raise InvalidBamHeaderError(
"{} has {} read groups, but we require exactly one".format(
inBam, len(rgs)))
if rgid not in rgs:
raise InvalidBamHeaderError(
"{} has read groups, but not {}".format(inBam, rgid))
headerFile = util.file.mkstempfname('.{}.header.txt'.format(rgid))
# Strip inBam to just one RG (if necessary)
removeInput = False
if len(rgs) == 1:
one_rg_inBam = inBam
tools.samtools.SamtoolsTool().dumpHeader(one_rg_inBam, headerFile)
else:
# strip inBam to one read group
with util.file.tempfname('.onebam.bam') as tmp_bam:
samtools.view(['-b', '-r', rgid], inBam, tmp_bam)
# special exit if this file is empty
if samtools.count(tmp_bam) == 0:
log.warning("No reads present for RG %s in file: %s", rgid,
inBam)
return
# simplify BAM header otherwise Novoalign gets confused
one_rg_inBam = util.file.mkstempfname(
'.{}.in.bam'.format(rgid))
removeInput = True
with open(headerFile, 'wt') as outf:
for row in samtools.getHeader(inBam):
if len(row) > 0 and row[0] == '@RG':
if rgid != list(x[3:] for x in row
if x.startswith('ID:'))[0]:
# skip all read groups that are not rgid
continue
outf.write('\t'.join(row) + '\n')
samtools.reheader(tmp_bam, headerFile, one_rg_inBam)
# perform actual alignment
# get the read group line to give to BWA
readgroup_line = ""
with open(headerFile) as inf:
for line in inf:
if line.startswith("@RG"):
readgroup_line = line
assert len(readgroup_line) > 0
#with util.file.tempfname('.aligned.bam') as tmp_bam_aligned:
# rather than reheader the alignment bam file later so it has the readgroup information
# from the original bam file, we'll pass the RG line to bwa to write out
self.mem(
one_rg_inBam,
refDb,
outBam,
options=options +
['-R', readgroup_line.rstrip("\r\n").replace('\t', '\\t')],
min_score_to_filter=min_score_to_filter,
threads=threads,
invert_filter=invert_filter,
should_index=should_index)
return (rgid, outBam)
# if there was more than one RG in the input, we had to create a temporary file with the one RG specified
# and we can safely delete it this file
# if there was only one RG in the input, we used it directly and should not delete it
if removeInput:
os.unlink(one_rg_inBam)
def align_mem_one_rg(self, inBam, refDb, outBam, rgid=None, options=None,
min_score_to_filter=None, threads=None, JVMmemory=None):
"""
Performs an alignment of one read group in a bam file to a reference fasta file
TODO: With the addition of a third aligner to viral-ngs, the functionality
common to this method and to the comparable method in the Novoalign wrapper should
be broken out as an "aligner" superclass, capable of aligning bam or fastq files with an arbitrary
aligner, while preserving read groups.
"""
options = options or []
samtools = tools.samtools.SamtoolsTool()
# Require exactly one RG
rgs = samtools.getReadGroups(inBam)
if len(rgs) == 0:
raise InvalidBamHeaderError("{} lacks read groups".format(inBam))
elif len(rgs) == 1:
if not rgid:
rgid = list(rgs.keys())[0]
elif not rgid:
raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs)))
if rgid not in rgs:
raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid))
headerFile = util.file.mkstempfname('.{}.header.txt'.format(rgid))
# Strip inBam to just one RG (if necessary)
removeInput = False
if len(rgs) == 1:
one_rg_inBam = inBam
tools.samtools.SamtoolsTool().dumpHeader(one_rg_inBam, headerFile)
else:
# strip inBam to one read group
tmp_bam = util.file.mkstempfname('.onebam.bam')
samtools.view(['-b', '-r', rgid], inBam, tmp_bam)
# special exit if this file is empty
if samtools.count(tmp_bam) == 0:
log.warning("No reads present for RG %s in file: %s", rgid, inBam)
return
# simplify BAM header otherwise Novoalign gets confused
one_rg_inBam = util.file.mkstempfname('.{}.in.bam'.format(rgid))
removeInput = True
with open(headerFile, 'wt') as outf:
for row in samtools.getHeader(inBam):
if len(row) > 0 and row[0] == '@RG':
if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]:
# skip all read groups that are not rgid
continue
outf.write('\t'.join(row) + '\n')
samtools.reheader(tmp_bam, headerFile, one_rg_inBam)
os.unlink(tmp_bam)
# perform actual alignment
# get the read group line to give to BWA
readgroup_line = ""
with open(headerFile) as inf:
for line in inf:
if line.startswith("@RG"):
readgroup_line = line
assert len(readgroup_line) > 0
tmp_bam_aligned = util.file.mkstempfname('.aligned.bam')
# rather than reheader the alignment bam file later so it has the readgroup information
# from the original bam file, we'll pass the RG line to bwa to write out
self.mem(one_rg_inBam, refDb, tmp_bam_aligned, options=options+['-R',
readgroup_line.rstrip("\r\n")],
min_score_to_filter=min_score_to_filter, threads=threads)
# if there was more than one RG in the input, we had to create a temporary file with the one RG specified
# and we can safely delete it this file
# if there was only one RG in the input, we used it directly and should not delete it
if removeInput:
os.unlink(one_rg_inBam)
# if the aligned bam file contains no reads after filtering
# just create an empty file
if tools.samtools.SamtoolsTool().count(tmp_bam_aligned) == 0:
util.file.touch(outBam)
else:
# samtools reheader seems to segfault on some alignments created by bwa
# so rather than reheader, BWA will write out the RG given to it via '-R'
# reheadered_bam = util.file.mkstempfname('.reheadered.bam')
# tools.samtools.SamtoolsTool().reheader(tmp_bam_aligned, headerFile, reheadered_bam)
# os.unlink(tmp_bam_aligned)
# os.unlink(headerFile)
# os.system("samtools view -h {} > /Users/tomkinsc/Desktop/test_reheader.bam".format(reheadered_bam))
# sort
sorter = tools.picard.SortSamTool()
sorter.execute(
tmp_bam_aligned,
outBam,
sort_order='coordinate',
picardOptions=['CREATE_INDEX=true', 'VALIDATION_STRINGENCY=SILENT'],
JVMmemory=JVMmemory
)
def align_mem_one_rg(self, inBam, refDb, outBam, rgid=None, options=None, min_qual=30, threads=None, JVMmemory=None):
"""
Performs an alignment of one read group in a bam file to a reference fasta file
TODO: With the addition of a third aligner to viral-ngs, the functionality
common to this method and to the comparable method in the Novoalign wrapper should
be broken out as an "aligner" superclass, capable of aligning bam or fastq files with an arbitrary
aligner, while preserving read groups.
"""
options = options or []
samtools = tools.samtools.SamtoolsTool()
# Require exactly one RG
rgs = samtools.getReadGroups(inBam)
if len(rgs) == 0:
raise InvalidBamHeaderError("{} lacks read groups".format(inBam))
elif len(rgs) == 1:
if not rgid:
rgid = list(rgs.keys())[0]
elif not rgid:
raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs)))
if rgid not in rgs:
raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid))
headerFile = util.file.mkstempfname('.{}.header.txt'.format(rgid))
# Strip inBam to just one RG (if necessary)
removeInput = False
if len(rgs) == 1:
one_rg_inBam = inBam
tools.samtools.SamtoolsTool().dumpHeader(one_rg_inBam, headerFile)
else:
# strip inBam to one read group
tmp_bam = util.file.mkstempfname('.onebam.bam')
samtools.view(['-b', '-r', rgid], inBam, tmp_bam)
# special exit if this file is empty
if samtools.count(tmp_bam) == 0:
return
# simplify BAM header otherwise Novoalign gets confused
one_rg_inBam = util.file.mkstempfname('.{}.in.bam'.format(rgid))
removeInput = True
with open(headerFile, 'wt') as outf:
for row in samtools.getHeader(inBam):
if len(row) > 0 and row[0] == '@RG':
if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]:
# skip all read groups that are not rgid
continue
outf.write('\t'.join(row) + '\n')
samtools.reheader(tmp_bam, headerFile, one_rg_inBam)
os.unlink(tmp_bam)
# perform actual alignment
# get the read group line to give to BWA
readgroup_line = ""
with open(headerFile) as inf:
for line in inf:
if line.startswith("@RG"):
readgroup_line = line
assert len(readgroup_line) > 0
aln_bam_prefilter = util.file.mkstempfname('.prefiltered.bam')
# rather than reheader the alignment bam file later so it has the readgroup information
# from the original bam file, we'll pass the RG line to bwa to write out
self.mem(one_rg_inBam, refDb, aln_bam_prefilter, options=options+['-R', readgroup_line.rstrip("\n").rstrip("\r")], min_qual=min_qual, threads=threads)
# if there was more than one RG in the input, we had to create a temporary file with the one RG specified
# and we can safely delete it this file
# if there was only one RG in the input, we used it directly and should not delete it
if removeInput:
os.unlink(one_rg_inBam)
# @haydenm says:
# For some reason (particularly when the --sensitive option is on), bwa
# doesn't listen to its '-T' flag and outputs alignments with score less
# than the '-T 30' threshold. So filter these:
if min_qual > 0:
tmp_bam_aligned = util.file.mkstempfname('.aligned.bam')
tools.samtools.SamtoolsTool().view(["-b", "-h", "-q", str(min_qual)], aln_bam_prefilter, tmp_bam_aligned)
os.unlink(aln_bam_prefilter)
else:
shutil.move(aln_bam_prefilter, tmp_bam_aligned)
# if the aligned bam file contains no reads after filtering
# just create an empty file
if tools.samtools.SamtoolsTool().count(tmp_bam_aligned) == 0:
util.file.touch(outBam)
else:
# samtools reheader seems to segfault on some alignments created by bwa
# so rather than reheader, BWA will write out the RG given to it via '-R'
# reheadered_bam = util.file.mkstempfname('.reheadered.bam')
# tools.samtools.SamtoolsTool().reheader(tmp_bam_aligned, headerFile, reheadered_bam)
# os.unlink(tmp_bam_aligned)
# os.unlink(headerFile)
# os.system("samtools view -h {} > /Users/tomkinsc/Desktop/test_reheader.bam".format(reheadered_bam))
# sort
sorter = tools.picard.SortSamTool()
sorter.execute(
tmp_bam_aligned,
outBam,
sort_order='coordinate',
picardOptions=['CREATE_INDEX=true', 'VALIDATION_STRINGENCY=SILENT'],
JVMmemory=JVMmemory
)
def align_one_rg(self, inBam, refDb, outBam, rgid=None, preset=None, options=None,
threads=None, JVMmemory=None):
"""
Performs an alignment of one read group in a bam file to a reference fasta file using minimap2.
Emits alignments in sorted, index bam files.
inBam may contain more read groups, but we will subset input to the specified rgid.
preset may be specified as a valid value for "minimap2 -x" which depends on the type of
data (short accurate reads vs long noisy reads). If preset is set to None, we will autodetect
based on the PL (platform) tag in the read group header (e.g. illumina, ont, pacbio)
"""
options = list(options).copy() or []
samtools = tools.samtools.SamtoolsTool()
# Require exactly one RG
rgs = samtools.getReadGroups(inBam)
if len(rgs) == 0:
raise InvalidBamHeaderError("{} lacks read groups".format(inBam))
elif len(rgs) == 1:
if not rgid:
rgid = list(rgs.keys())[0]
elif not rgid:
raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs)))
if rgid not in rgs:
raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid))
headerFile = util.file.mkstempfname('.{}.header.txt'.format(rgid))
# Strip inBam to just one RG (if necessary)
removeInput = False
if len(rgs) == 1:
one_rg_inBam = inBam
tools.samtools.SamtoolsTool().dumpHeader(one_rg_inBam, headerFile)
else:
# strip inBam to one read group
with util.file.tempfname('.onebam.bam') as tmp_bam:
samtools.view(['-1', '-r', rgid], inBam, tmp_bam)
# special exit if this file is empty
if samtools.isEmpty(tmp_bam):
log.warning("No reads present for RG %s in file: %s", rgid, inBam)
shutil.copyfile(tmp_bam, outBam)
return
# simplify BAM header otherwise Novoalign gets confused
one_rg_inBam = util.file.mkstempfname('.{}.in.bam'.format(rgid))
removeInput = True
with open(headerFile, 'wt') as outf:
for row in samtools.getHeader(inBam):
if len(row) > 0 and row[0] == '@RG':
if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]:
# skip all read groups that are not rgid
continue
outf.write('\t'.join(row) + '\n')
samtools.reheader(tmp_bam, headerFile, one_rg_inBam)
# get the read group line to give to mm2
readgroup_line = ""
with open(headerFile) as inf:
for line in inf:
if line.startswith("@RG"):
readgroup_line = line.rstrip("\r\n")
if not readgroup_line:
raise Exception()
# rather than reheader the alignment bam file later so it has the readgroup information
# from the original bam file, we'll pass the RG line to minimap2 to write out
options.extend(('-R', readgroup_line.replace('\t','\\t')))
# dynamically determine the mode of operation
if '-x' not in options:
if preset is None:
platform = list(x for x in readgroup_line.split('\t') if x.startswith('PL:'))
if len(platform) != 1:
raise Exception("cannot autodetect minimap2 aligner mode when PL: tag is not set in the read group header for {}: {}".format(inBam, readgroup_line))
else:
platform = platform[0][3:].lower()
if platform == 'illumina':
preset = 'sr'
elif platform == 'ont':
preset = 'map-ont'
elif platform == 'pacbio':
preset = 'map-pb'
else:
raise Exception("PL: tag {} for read group {} in bam {} refers to a data type we do not know how to map with minimap2".format(platform, rgid, inBam))
options.extend(('-x', preset))
# perform actual alignment
if samtools.isEmpty(one_rg_inBam):
# minimap doesn't like empty inputs, so copy empty bam through
samtools.sort(one_rg_inBam, outBam)
else:
self.align_cmd(one_rg_inBam, refDb, outBam, options=options, threads=threads)
# if there was more than one RG in the input, we had to create a temporary file with the one RG specified
# and we can safely delete it this file
# if there was only one RG in the input, we used it directly and should not delete it
if removeInput:
os.unlink(one_rg_inBam)
def align_mem_one_rg(self, inBam, refDb, outBam, rgid=None, options=None,
min_score_to_filter=None, threads=None, JVMmemory=None, invert_filter=False, should_index=True):
"""
Performs an alignment of one read group in a bam file to a reference fasta file
TODO: With the addition of a third aligner to viral-ngs, the functionality
common to this method and to the comparable method in the Novoalign wrapper should
be broken out as an "aligner" superclass, capable of aligning bam or fastq files with an arbitrary
aligner, while preserving read groups.
"""
options = options or []
samtools = tools.samtools.SamtoolsTool()
# Require exactly one RG
rgs = samtools.getReadGroups(inBam)
if len(rgs) == 0:
raise InvalidBamHeaderError("{} lacks read groups".format(inBam))
elif len(rgs) == 1:
if not rgid:
rgid = list(rgs.keys())[0]
elif not rgid:
raise InvalidBamHeaderError("{} has {} read groups, but we require exactly one".format(inBam, len(rgs)))
if rgid not in rgs:
raise InvalidBamHeaderError("{} has read groups, but not {}".format(inBam, rgid))
headerFile = util.file.mkstempfname('.{}.header.txt'.format(rgid))
# Strip inBam to just one RG (if necessary)
removeInput = False
if len(rgs) == 1:
one_rg_inBam = inBam
tools.samtools.SamtoolsTool().dumpHeader(one_rg_inBam, headerFile)
else:
# strip inBam to one read group
with util.file.tempfname('.onebam.bam') as tmp_bam:
samtools.view(['-b', '-r', rgid], inBam, tmp_bam)
# special exit if this file is empty
if samtools.count(tmp_bam) == 0:
log.warning("No reads present for RG %s in file: %s", rgid, inBam)
return
# simplify BAM header otherwise Novoalign gets confused
one_rg_inBam = util.file.mkstempfname('.{}.in.bam'.format(rgid))
removeInput = True
with open(headerFile, 'wt') as outf:
for row in samtools.getHeader(inBam):
if len(row) > 0 and row[0] == '@RG':
if rgid != list(x[3:] for x in row if x.startswith('ID:'))[0]:
# skip all read groups that are not rgid
continue
outf.write('\t'.join(row) + '\n')
samtools.reheader(tmp_bam, headerFile, one_rg_inBam)
# perform actual alignment
# get the read group line to give to BWA
readgroup_line = ""
with open(headerFile) as inf:
for line in inf:
if line.startswith("@RG"):
readgroup_line = line
assert len(readgroup_line) > 0
#with util.file.tempfname('.aligned.bam') as tmp_bam_aligned:
# rather than reheader the alignment bam file later so it has the readgroup information
# from the original bam file, we'll pass the RG line to bwa to write out
self.mem(one_rg_inBam, refDb, outBam, options=options+['-R',
readgroup_line.rstrip("\r\n").replace('\t','\\t')],
min_score_to_filter=min_score_to_filter, threads=threads, invert_filter=invert_filter, should_index=should_index)
return (rgid, outBam)
# if there was more than one RG in the input, we had to create a temporary file with the one RG specified
# and we can safely delete it this file
# if there was only one RG in the input, we used it directly and should not delete it
if removeInput:
os.unlink(one_rg_inBam)