def testUpdate2(self):
'''issue 135: inplace update of sequence and quality score.
This does not work as setting the sequence will erase
the quality scores.
'''
a = self.buildRead()
a.query_sequence = a.query_sequence[5:10]
self.assertEqual(pysam.qualities_to_qualitystring(a.query_qualities), None)
a = self.buildRead()
s = pysam.qualities_to_qualitystring(a.query_qualities)
a.query_sequence = a.query_sequence[5:10]
a.query_qualities = pysam.qualitystring_to_array(s[5:10])
self.assertEqual(pysam.qualities_to_qualitystring(a.query_qualities), s[5:10])
def testUpdate2(self):
'''issue 135: inplace update of sequence and quality score.
This does not work as setting the sequence will erase
the quality scores.
'''
a = self.buildRead()
a.query_sequence = a.query_sequence[5:10]
self.assertEqual(pysam.qualities_to_qualitystring(a.query_qualities), None)
a = self.buildRead()
s = pysam.qualities_to_qualitystring(a.query_qualities)
a.query_sequence = a.query_sequence[5:10]
a.query_qualities = pysam.qualitystring_to_array(s[5:10])
self.assertEqual(pysam.qualities_to_qualitystring(a.query_qualities), s[5:10])
def saveread(alignedRead, outfile1, outfile2):
global r1
global r2
global dr1
global dr2
if alignedRead.is_read1:
n = alignedRead.qname
if alignedRead.is_reverse:
s = "@" + n + '\n' + strRevComp(
alignedRead.seq
) + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
alignedRead.query_qualities[::-1]) + '\n'
else:
s = "@" + n + '\n' + alignedRead.seq + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
alignedRead.query_qualities) + '\n'
if n in r2:
outfile1.write(s.encode())
outfile2.write(zlib.decompress(r2[n]))
del r2[n]
elif n in dr2:
outfile1.write(s.encode())
outfile2.write(zlib.decompress(dr2[n]))
del dr2[n]
else:
r1[n] = zlib.compress(s.encode(), 1)
elif alignedRead.is_read2:
n = alignedRead.qname
if alignedRead.is_reverse:
s = "@" + n + '\n' + strRevComp(
alignedRead.seq
) + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
alignedRead.query_qualities[::-1]) + '\n'
else:
s = "@" + n + '\n' + alignedRead.seq + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
alignedRead.query_qualities) + '\n'
if n in r1:
outfile1.write(zlib.decompress(r1[n]))
outfile2.write(s.encode())
del r1[n]
elif n in dr1:
outfile1.write(zlib.decompress(dr1[n]))
outfile2.write(s.encode())
del dr1[n]
else:
r2[n] = zlib.compress(s.encode(), 1)
def quality_array_to_string(quality_list):
"""Convert list of phred quality values to string.
:param quality_list: List of phred quality scores.
:returns: Quality string.
:rtype: str
"""
return pysam.qualities_to_qualitystring(quality_list)
def writepair(ar1, ar2, outfile1, outfile2, n):
if ar1.is_reverse:
s = "@" + n + '\n' + strRevComp(
ar1.seq) + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
ar1.query_qualities[::-1]) + '\n'
outfile1.write(s.encode())
s = "@" + n + '\n' + ar2.seq + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
ar2.query_qualities) + '\n'
outfile2.write(s.encode())
else:
s = "@" + n + '\n' + ar1.seq + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
ar1.query_qualities) + '\n'
outfile1.write(s.encode())
s = "@" + n + '\n' + strRevComp(
ar2.seq) + '\n' + "+" + '\n' + pysam.qualities_to_qualitystring(
ar2.query_qualities[::-1]) + '\n'
outfile2.write(s.encode())
def ParseReadDictionary(self, read_dictionary):
"""
parse read dictionary and return header, sequence, and quality as list
"""
for i in read_dictionary:
header = i
seq = ''.join(read_dictionary[i]['seq'])
qual = ps.qualities_to_qualitystring(read_dictionary[i]['qual'])
yield [header, seq, qual]
def write_reads(in_bam, out_dir, ctg):
with open(os.path.join(out_dir, ctg+".fq"), 'w') as fout:
with pysam.AlignmentFile(in_bam, 'rb') as bam:
for line in bam.fetch(contig=ctg):
rn = line.query_name
seq = line.query_sequence
ctg = line.reference_name
qual = pysam.qualities_to_qualitystring(line.query_qualities)
if line.mapq == 0 or line.mapq == 255:
continue
fout.write("@%s\n%s\n+\n%s\n"%(rn, seq, qual))
def make_read(seq, cigar, mdtag=None, name="dummy", mapq=10, baseq=30):
read = pysam.AlignedSegment()
read.seq = seq
read.cigarstring = cigar
if mdtag:
read.set_tag("MD", mdtag)
read.qname = name
read.mapq = mapq
qualities_string = pysam.qualities_to_qualitystring([baseq] * len(seq))
qualities_bytes = qualities_string.encode("ascii")
read.qual = qualities_bytes
return read
def make_read(seq, cigar, mdtag=None, name="dummy", mapq=10, baseq=30):
read = pysam.AlignedSegment()
read.seq = seq
read.cigarstring = cigar
if mdtag:
read.set_tag("MD", mdtag)
read.qname = name
read.mapq = mapq
qualities_string = pysam.qualities_to_qualitystring([baseq] * len(seq))
qualities_bytes = qualities_string.encode("ascii")
read.qual = qualities_bytes
return read
def testEmpty(self):
a = pysam.AlignedSegment()
self.assertEqual(a.query_name, None)
self.assertEqual(a.query_sequence, None)
self.assertEqual(pysam.qualities_to_qualitystring(a.query_qualities), None)
self.assertEqual(a.flag, 0)
self.assertEqual(a.reference_id, -1)
self.assertEqual(a.mapping_quality, 0)
self.assertEqual(a.cigartuples, None)
self.assertEqual(a.tags, [])
self.assertEqual(a.next_reference_id, -1)
self.assertEqual(a.next_reference_start, -1)
self.assertEqual(a.template_length, 0)
def testEmpty(self):
a = pysam.AlignedSegment()
self.assertEqual(a.query_name, None)
self.assertEqual(a.query_sequence, None)
self.assertEqual(pysam.qualities_to_qualitystring(a.query_qualities), None)
self.assertEqual(a.flag, 0)
self.assertEqual(a.reference_id, 0)
self.assertEqual(a.mapping_quality, 0)
self.assertEqual(a.cigartuples, None)
self.assertEqual(a.tags, [])
self.assertEqual(a.next_reference_id, 0)
self.assertEqual(a.next_reference_start, 0)
self.assertEqual(a.template_length, 0)
def make_pysam_read(seq,
cigar,
mdtag=None,
name="dummy",
mapq=10,
baseq=30,
reference_start=0,
reference_id=0):
read = pysam.AlignedSegment()
read.seq = seq
read.cigarstring = cigar
if mdtag:
read.set_tag("MD", mdtag)
read.qname = name
read.mapq = mapq
read.reference_start = reference_start
read.reference_id = reference_id
qualities_string = pysam.qualities_to_qualitystring([baseq] * len(seq))
read.qual = qualities_string.encode("ascii")
return read
def test_realign_rc(genome_source):
read = pysam.AlignedSegment()
read.query_sequence = genome_source.get_seq("chr1", 30, 50, "-")
alns = genome_source.align(Alignment(read))
assert len(alns) == 1
assert alns[0].cigarstring == "21M"
assert alns[0].reference_start == 30
assert alns[0].reference_end == 51
assert alns[0].is_reverse
qs = "<<<<<<<:<9/,&,22;;<<<"
read.query_qualities = pysam.qualitystring_to_array(qs)
alns = genome_source.align(Alignment(read))
import warnings
with warnings.catch_warnings():
# this is a python 2/3 incompatibility I think, where the warning
# indicates array.tostring() is deprecated but array.tobytes()
# only exists in py3
warnings.simplefilter("ignore")
assert pysam.qualities_to_qualitystring(
alns[0].query_qualities) == qs[::-1]
def make_read_info(source_align_file, art_aligned_mapped_reads,
art_aligned_unmapped_reads):
global LOGGER
LOGGER.info("Extracting info from source SAM file (%s)..." %
source_align_file)
mapped_reads_info = {}
unmapped_reads_info = {}
with pysam.AlignmentFile(source_align_file) as f:
for r in f:
if r.is_secondary or r.is_supplementary:
continue
query_name = r.query_name
sequence = r.query_sequence
is_spliced = False
if not r.is_unmapped:
if query_name in art_aligned_mapped_reads:
if "N" in r.cigarstring:
is_spliced = True
mapped_reads_info[query_name] = (r.reference_id,
r.reference_start,
r.reference_end,
r.mapping_quality,
is_spliced)
else:
if query_name in art_aligned_unmapped_reads:
unmapped_reads_info[query_name] = (
sequence,
pysam.qualities_to_qualitystring(r.query_qualities))
LOGGER.info("Completed info extraction")
return mapped_reads_info, unmapped_reads_info
def to_unmapped(segment, unal_read1, unal_read2):
if segment.is_read1:
if segment.query_name in fwd_read_dict:
seq = fwd_read_dict[segment.query_name]
qual = qualities_to_qualitystring(segment.query_qualities)
if segment.is_reverse:
qual = qual[::-1]
else:
seq = segment.query_sequence
qual = qualities_to_qualitystring(segment.query_qualities)
if segment.is_reverse:
seq = reverse_complement(seq)
qual = qual[::-1]
unal_read1.write("".join(
["@", segment.query_name, "\n", seq, '\n+\n', qual, '\n']))
elif segment.is_read2:
if segment.query_name in rev_read_dict:
seq = rev_read_dict[segment.query_name]
qual = qualities_to_qualitystring(segment.query_qualities)
if segment.is_reverse:
qual = qual[::-1]
else:
seq = segment.query_sequence
qual = qualities_to_qualitystring(segment.query_qualities)
if segment.is_reverse:
seq = reverse_complement(seq)
qual = qual[::-1]
unal_read2.write("".join(
["@", segment.query_name, "\n", seq, '\n+\n', qual, '\n']))
else: #single end and fully unmapped
if segment.query_name in fwd_read_dict:
seq = fwd_read_dict[segment.query_name]
qual = qualities_to_qualitystring(segment.query_qualities)
if segment.is_reverse:
qual = qual[::-1]
else:
seq = segment.query_sequence
qual = qualities_to_qualitystring(segment.query_qualities)
if segment.is_reverse:
seq = reverse_complement(seq)
qual = qual[::-1]
unal_read1.write("".join(
["@", segment.query_name, "\n", seq, '\n+\n', qual, '\n']))
def _init_vardict(self):
"""Init the variable dictionary (context for eval/code exec).
Tricks:
- init only those variable that appear as a substring
"""
self.vardict = self.init_vardict
alignment = self.alignment
if 'a' in self.possible_vars:
self.vardict['a'] = alignment
if 'QNAME' in self.possible_vars:
self.vardict['QNAME'] = alignment.query_name
if 'FLAG' in self.possible_vars:
self.vardict['FLAG'] = alignment.flag
if 'POS' in self.possible_vars:
self.vardict['POS'] = alignment.reference_start + 1
if 'MAPQ' in self.possible_vars:
self.vardict['MAPQ'] = alignment.mapping_quality
if 'CIGAR' in self.possible_vars:
self.vardict['CIGAR'] = alignment.cigarstring
if 'PNEXT' in self.possible_vars:
self.vardict['PNEXT'] = alignment.next_reference_start + 1
if 'TLEN' in self.possible_vars:
self.vardict['TLEN'] = alignment.template_length
if 'SEQ' in self.possible_vars:
self.vardict['SEQ'] = alignment.query_sequence
if 'RNAMEi' in self.possible_vars:
self.vardict['RNAMEi'] = alignment.reference_id
if 'RNEXTi' in self.possible_vars:
self.vardict['RNEXTi'] = alignment.next_reference_id
# the specific implementation depends on the specific version of PySam, we want the same behaviour
if isinstance(alignment.qual, str):
if 'QUAL' in self.possible_vars:
self.vardict['QUAL'] = alignment.qual
if 'QUALa' in self.possible_vars:
self.vardict['QUALa'] = [ord(x) for x in alignment.qual]
if 'QUALs' in self.possible_vars:
self.vardict['QUALs'] = alignment.qqual
if 'QUALsa' in self.possible_vars:
self.vardict['QUALsa'] = [ord(x) for x in alignment.qqual]
else:
if 'QUAL' in self.possible_vars:
self.vardict['QUAL'] = pysam.qualities_to_qualitystring(
alignment.qual, offset=0)
if 'QUALa' in self.possible_vars:
self.vardict['QUALa'] = alignment.qual
if 'QUALs' in self.possible_vars:
self.vardict['QUALs'] = pysam.qualities_to_qualitystring(
alignment.qqual, offset=0)
if 'QUALsa' in self.possible_vars:
self.vardict['QUALsa'] = alignment.qqual
if 'RNAME' in self.possible_vars:
if alignment.reference_id == -1:
self.vardict['RNAME'] = '*'
else:
self.vardict['RNAME'] = self.in_sam.get_reference_name(
alignment.reference_id)
if 'RNEXT' in self.possible_vars:
if alignment.next_reference_id == -1:
self.vardict['RNEXT'] = '*'
else:
self.vardict['RNEXT'] = self.in_sam.get_reference_name(
alignment.next_reference_id)
def main(argv=None):
if argv is None:
argv = sys.argv
parser = E.OptionParser(version="%prog version: $Id$",
usage=globals()["__doc__"])
parser.add_option("-i",
"--input-fastq-file",
dest="input_fastq_file",
type="string",
help="input fastq file. "
"[%default]")
parser.add_option("-m",
"--method",
dest="method",
type="choice",
choices=("read-variant", "depth-vcf", "read-list",
"coverage-vcf", "barcode"),
help="method to apply [%default]")
parser.add_option(
"-e",
"--input-bed",
dest="input_bed_file",
type="string",
help="input file with intervals. Tab-delimited file of intervals "
"in bed format to restrict analysis to. [%default]")
parser.add_option(
"-r",
"--region-string",
dest="region_string",
type="string",
help="region string. Only apply method in specified region. "
"[%default]")
parser.add_option("-f",
"--reference-fasta-file",
dest="reference_fasta_file",
help="reference genomic sequence in fasta format. "
"[%default]")
parser.add_option("--min-base-quality",
dest="min_base_quality",
type="int",
help="minimum base quality for barcode analysis. "
"[%default]")
parser.add_option("-s",
"--stepper",
dest="stepper",
type="choice",
choices=("nofilter", "samtools", "all"))
parser.set_defaults(method="read-variant",
reference_fasta_file=None,
input_bed_file=None,
regex_sample_name="([^/]+).bam",
stepper="nofilter",
min_base_quality=13,
region_string=None)
# add common options (-h/--help, ...) and parse command line
(options, args) = E.start(parser, argv=argv, add_output_options=True)
pysam_in = pysam.AlignmentFile(args[0], "rb")
if options.input_bed_file:
if not os.path.exists(options.input_bed_file):
raise OSError("input bed file {} does not exist".format(
options.input_bed_file))
bed_in = pysam.TabixFile(options.input_bed_file)
else:
bed_in = None
if options.region_string is not None:
itr = generate_from_region(pysam_in,
options.region,
stepper=options.stepper,
min_base_quality=options.min_base_quality)
elif bed_in is not None:
itr = generate_from_bed(pysam_in,
bed_in,
stepper=options.stepper,
min_base_quality=options.min_base_quality)
else:
itr = generate_from_bam(pysam_in,
stepper=options.stepper,
min_base_quality=options.min_base_quality)
reference_fasta = pysam.FastaFile(options.reference_fasta_file)
outf = options.stdout
counter = E.Counter()
if options.method == "read-variant":
outf.write("chromosome\tposition\tref\ttypes\n")
for pileupcolumn in itr:
counter.positions_pileup += 1
reference_base = reference_fasta.fetch(
pileupcolumn.reference_name, pileupcolumn.reference_pos,
pileupcolumn.reference_pos + 1)
matches = []
bases = set()
for read in pileupcolumn.pileups:
qpos = read.query_position
if qpos is not None:
base = read.alignment.query_sequence[qpos]
else:
base = "-"
matches.append((base, read.alignment.query_name))
bases.add(base)
bases = list(bases)
if len(bases) == 1:
counter.position_noninformative += 1
if bases[0] == reference_base:
counter.position_reference += 1
continue
counter.position_informative += 1
d = {}
for base in bases:
d[base] = ",".join([x[1] for x in matches if x[0] == base])
outf.write("{}\t{}\t{}\t{}\n".format(pileupcolumn.reference_name,
pileupcolumn.reference_pos,
reference_base,
json.dumps(d)))
elif options.method in ("depth-vcf", "coverage-vcf"):
if options.regex_sample_name:
sample_name = re.search(options.regex_sample_name,
args[0]).groups()[0]
else:
sample_name = "unknown"
outf.write("##fileformat=VCFv4.1\n")
outf.write("##FORMAT=<ID=GT,Number=1,Type=String,"
"Description=\"Genotype\">\n")
outf.write("##FORMAT=<ID=DP,Number=1,Type=Integer,"
"Description=\"Genotype\">\n")
outf.write("#CHROM\tPOS\tID\tREF\tALT\tQUAL\t"
"FILTER\tINFO\tFORMAT\t{}\n".format(sample_name))
is_depth = options.method == "depth-vcf"
for idx, pileupcolumn in enumerate(itr):
if idx % 1000 == 0:
E.info("processed {} positions".format(idx))
reference_base = reference_fasta.fetch(
pileupcolumn.reference_name, pileupcolumn.reference_pos,
pileupcolumn.reference_pos + 1).upper()
if reference_base == 'A':
alt_base = 'C'
else:
alt_base = 'A'
if is_depth:
n = sum([
1 for x in pileupcolumn.pileups
if not (x.is_del or x.is_refskip)
])
else:
n = pileupcolumn.n
outf.write("{}\t{}\t.\t{}\t{}\t.\tPASS\t.\tGT:DP\t0/1:{}\n".format(
pileupcolumn.reference_name, pileupcolumn.reference_pos,
reference_base, alt_base, n))
elif options.method == "read-list":
outf.write(
"chromosome\tposition\treference_base\tbase\tquality\tquery_name\n"
)
for pileupcolumn in itr:
reference_base = reference_fasta.fetch(
pileupcolumn.reference_name, pileupcolumn.reference_pos,
pileupcolumn.reference_pos + 1)
matches = []
for read in pileupcolumn.pileups:
qpos = read.query_position
if qpos is not None:
base = read.alignment.query_sequence[qpos]
quality = read.alignment.query_qualities[qpos]
else:
base = "-"
quality = ""
outf.write("{}\t{}\t{}\t{}\t{}\t{}\n".format(
pileupcolumn.reference_name, pileupcolumn.reference_pos,
reference_base, base, quality, read.alignment.query_name))
elif options.method == "barcode":
rows = []
for c in itr:
rows.append(
(c.reference_pos, c.n, "".join(c.get_query_sequences()),
pysam.qualities_to_qualitystring(c.get_query_qualities())))
df = pandas.DataFrame.from_records(
rows, columns=["pos", "gapped_depth", "bases", "qualities"])
df["depth"] = df.bases.str.len()
bases = ["A", "C", "G", "T"]
for b in bases:
df[b] = df.bases.str.upper().str.count(b)
df["consensus"] = df[bases].idxmax(axis=1)
df["consensus_counts"] = df.lookup(df.index, df.consensus)
df["consensus_support"] = df.consensus_counts / df.depth
df["offconsensus_counts"] = df.depth - df.consensus_counts
df.loc[df.consensus_counts == 0, "consensus"] = "N"
df.to_csv(outf, sep="\t", index=False)
E.info(counter)
# write footer and output benchmark information.
E.stop()
def generate_barcode(self, split_fq_sam_file_List, outdir, samtools_path,
split_modify_fq_file_List, file_sign, maxsize,
barcode_sequence):
fqsamlist = list()
rsplit_fq_sam_file_List = open(split_fq_sam_file_List, 'r')
for split_fq_sam_file_List_info in rsplit_fq_sam_file_List:
fqsamlist.append(
(re.split("\t", split_fq_sam_file_List_info.strip()))[1])
otherfiletmplist.append(
(re.split("\t", split_fq_sam_file_List_info.strip()))[1])
mergedFqBam = fqsamlist[0].replace("0.fq.sam.bam", "fq.merged.bam")
shelldir = outdir + "/shell"
check_info(shelldir, "dir")
shell = shelldir + "/merge_fqbam.sh"
wshell = open(shell, 'w')
if len(fqsamlist) > 1:
allfqsam = " ".join(fqsamlist)
shell_line = " ".join(
[samtools_path, "merge -f", mergedFqBam, allfqsam]) + "\n"
else:
shell_line = " ".join(["ln -sf", fqsamlist[0], mergedFqBam]) + "\n"
wshell.write(shell_line)
sv = find_samtools_version(samtools_path, shelldir)
sortedFqBamprefix = mergedFqBam.replace("fq.merged.bam",
"fq.merged.sorted")
sortedFqBam = sortedFqBamprefix + ".bam"
if sv == 0:
shell_line = " ".join([
samtools_path, "sort -n -m 1G", mergedFqBam, sortedFqBamprefix
]) + "\n"
else:
shell_line = " ".join([
samtools_path, "sort -n -m 1G -o", sortedFqBamprefix + ".bam",
mergedFqBam
]) + "\n"
wshell.write(shell_line)
shell_line = " ".join([samtools_path, "index", sortedFqBam]) + "\n"
wshell.write(shell_line)
wshell.close()
subprocess.call(["sh", shell])
new_fq_prefix = sortedFqBam.replace("fq.merged.sorted.bam", "")
otherfiletmplist.append(mergedFqBam)
otherfiletmplist.append(sortedFqBam)
otherfiletmplist.append(sortedFqBam + ".bai")
wsplit_modify_fq_file_List = open(split_modify_fq_file_List, 'w')
SplitSize = 0
rsortedFqBam = pysam.AlignmentFile(sortedFqBam, 'rb')
readid = "N"
barcodeid = 0
barcode_marker = "N"
new_barcode_sequence = "N"
start = 11
s = 0
split_modify_fq_file = fqsamlist[0].replace(
"0.fq.sam.bam", "") + str(s) + ".BX.modified.fq.gz"
wsplit_modify_fq_file_List.write(split_modify_fq_file + "\n")
wsplit_modify_fq_file = gzip.open(split_modify_fq_file, 'wb')
for FqBaminfo in rsortedFqBam:
(real_barcode, real_readid) = re.split("_", FqBaminfo.query_name)
if FqBaminfo.query_name != readid:
readid = FqBaminfo.query_name
if barcode_marker != real_barcode:
barcode_marker = real_barcode
(start, new_barcode_suffix) = self.get_new_barcode(
barcodeid, start)
barcodeid += 1
new_barcode_sequence = barcode_sequence + new_barcode_suffix
real_readid = '@' + real_readid + "/1\tBC:Z:" + new_barcode_sequence
else:
real_readid = '@' + real_readid + "/2\tBC:Z:" + new_barcode_sequence
SplitSize += 4
complete_read_info = "\n".join([
real_readid, FqBaminfo.query_sequence, "+",
pysam.qualities_to_qualitystring(FqBaminfo.query_qualities)
]) + "\n"
if SplitSize > maxsize:
wsplit_modify_fq_file.close()
s += 1
SplitSize = 4
split_modify_fq_file = fqsamlist[0].replace(
"0.fq.sam.bam", "") + str(s) + ".BX.modified.fq.gz"
wsplit_modify_fq_file_List.write(split_modify_fq_file + "\n")
wsplit_modify_fq_file = gzip.open(split_modify_fq_file, 'wb')
wsplit_modify_fq_file.write(complete_read_info.encode())
rsortedFqBam.close()
wsplit_modify_fq_file_List.close()
wsplit_modify_fq_file.close()
wfile_sign = open(file_sign, 'w')
wfile_sign.write("done!\n")
wfile_sign.close
return (split_modify_fq_file_List)