def _read_sample_table(config, filename):
"""Parses a 2 - 3 column tab-seperated table containing, on each row, a
name to be used for a sample in the first row, and then the paths two
either one or to two BAM files, which must represent a single nuclear or
a single mitochondrial alignment (2 columns), or both (3 columns).
"""
print_info("Reading table of samples from %r" % (filename,))
samples = config.samples = {}
with fileutils.open_ro(filename) as handle:
for linenum, line in enumerate(handle, start=1):
if not line.strip() or line.lstrip().startswith("#"):
continue
fields = filter(None, line.rstrip('\r\n').split('\t'))
if len(fields) not in (2, 3):
print_err("Error reading sample table (%r) at line %i; "
"expected 2 or 3 columns, found %i; please "
"correct file before continuing."
% (filename, linenum, len(fields)))
return
name = fields[0]
if name in samples:
print_err("Duplicate sample name found in sample table "
"(%r) at line %i: %r. All sample names must "
"be unique!" % (filename, linenum, name))
return
samples[name] = {"Root": os.path.join(config.destination, name),
"Files": fields[1:]}
return True
def main(argv):
args = parse_arguments(argv)
scaffolds = {}
if args.scaffolds:
print("Reading scaffolds information from %r" % (args.scaffolds, ))
scaffolds = read_scaffolds(args.scaffolds)
with open_ro(args.infile, "rb") as gtf_file:
print("Reading GTF from %r" % (args.infile, ))
src_table = read_gtf(gtf_file, scaffolds, args.contig_prefix)
for (source, table) in src_table.items():
print("Writing tables for '%s'" % source)
if source.startswith("protein"):
features = build_coding_seqs_table(args, table)
else:
features = build_noncoding_seqs_table(args, table)
for feature in features:
fpath = "%s.%s.%s.bed" % (args.output_prefix, source, feature)
print("\tWriting %ss to '%s'" % (feature, fpath))
write_bed(features[feature], fpath)
return 0
def main(argv):
args = parse_arguments(argv)
scaffolds = {}
if args.scaffolds:
print("Reading scaffolds information from %r" % (args.scaffolds,))
scaffolds = read_scaffolds(args.scaffolds)
with open_ro(args.infile) as gtf_file:
print("Reading GTF from %r" % (args.infile,))
src_table = read_gtf(gtf_file, scaffolds, args.contig_prefix)
for (source, table) in src_table.iteritems():
print("Writing tables for '%s' ..." % source)
if source.startswith("protein"):
features = build_coding_seqs_table(args, table)
else:
features = build_noncoding_seqs_table(args, table)
for feature in features:
fpath = "%s.%s.%s.bed" % (args.output_prefix, source, feature)
print("\tWriting %ss to '%s' ..." % (feature, fpath, ))
write_bed(features[feature], fpath)
return 0
def read_bed_file(filename, min_columns=3, contigs=None):
"""Parses a (gzip/bzip2 compressed) BED file, and yields a sequence of
records. Comments and empty lines are skipped. If the number of columns in
the bed record is less than the specified ('min_columns'), a BEDError is
raised. If a dictionary of {contig: length} is supplied, and min_columns
is at least 6, then the coordinates are validated against the known contig
lengths.
"""
if min_columns < 3:
raise ValueError("'min_columns' must be >= 3 in 'read_bed_file'")
infinite = float("inf")
handle = None
try:
handle = open_ro(filename)
for (line_num, line) in enumerate(handle):
line = line.strip()
if not line or line.startswith("#"):
continue
try:
bed = BEDRecord(line)
except ValueError as error:
raise BEDError("Error parsing line %i in regions file:\n"
" Path = %r\n Line = %r\n\n%s" %
(line_num + 1, filename, line, error))
if len(bed) < min_columns:
url = "http://genome.ucsc.edu/FAQ/FAQformat.html#format1"
name = repr(bed.name) if len(bed) > 3 else "unnamed record"
raise BEDError("Region at line #%i (%s) does not "
"contain the expected number of fields; "
"the first %i fields are required. C.f. "
"defination at\n %s\n\nPath = %r" %
(line_num, name, min_columns, url, filename))
if contigs is None:
contig_len = infinite
else:
contig_len = contigs.get(bed.contig)
if contig_len is None:
raise BEDError("Regions file contains contig not found "
"in reference:\n Path = %r\n Contig = "
"%r\n\nPlease ensure that all contig "
"names match the reference names!" %
(filename, bed.contig))
elif not (0 <= bed.start < bed.end <= contig_len):
raise BEDError(
"Regions file contains invalid region:\n"
" Path = %r\n Contig = %r\n"
" Start = %s\n End = %s\n\n"
"Expected 0 <= Start < End <= %i!" %
(filename, bed.contig, bed.start, bed.end, contig_len))
yield bed
finally:
if handle:
handle.close()
def test_open_ro__bz2():
handle = open_ro(test_file('fasta_file.fasta.bz2'))
try:
assert_equal(handle.read(),
b'>This_is_BZ_FASTA!\nCGTNA\n'
b'>This_is_ALSO_BZ_FASTA!\nACGTN\n')
finally:
handle.close()
def test_open_ro__gz():
handle = open_ro(test_file('fasta_file.fasta.gz'))
try:
assert_equal(handle.read(),
b'>This_is_GZipped_FASTA!\nACGTN\n'
b'>This_is_ALSO_GZipped_FASTA!\nCGTNA\n')
finally:
handle.close()
def _parse_freq_table(cls, filename):
with fileutils.open_ro(filename) as handle:
handle.readline() # Skip header
for line in handle:
chrom, snp, clst, _, _, _, mac, nchroms = line.split()
yield (chrom, snp, clst, int(mac), int(nchroms))
def test_open_ro__gz():
handle = open_ro(test_file('fasta_file.fasta.gz'))
try:
assert_equal(
handle.read(), b'>This_is_GZipped_FASTA!\nACGTN\n'
b'>This_is_ALSO_GZipped_FASTA!\nCGTNA\n')
finally:
handle.close()
def _parse_freq_table(cls, filename):
with fileutils.open_ro(filename) as handle:
handle.readline() # Skip header
for line in handle:
chrom, snp, clst, _, _, _, mac, nchroms = line.split()
yield (chrom, snp, clst, int(mac), int(nchroms))
def from_file(cls, filename):
"""Reads a MSA from the specified filename. The file may
be uncompressed, gzipped or bzipped. See also 'MSA.from_lines'."""
fasta_file = open_ro(filename)
try:
return MSA.from_lines(fasta_file)
except MSAError, error:
raise MSAError("%s in file %r" % (error, filename))
def from_file(cls, filename):
"""Reads a MSA from the specified filename. The file may
be uncompressed, gzipped or bzipped. See also 'MSA.from_lines'."""
fasta_file = open_ro(filename)
try:
return MSA.from_lines(fasta_file)
except MSAError, error:
raise MSAError("%s in file %r" % (error, filename))
def test_open_ro__bz2():
handle = open_ro(test_file('fasta_file.fasta.bz2'))
try:
assert_equal(
handle.read(), b'>This_is_BZ_FASTA!\nCGTNA\n'
b'>This_is_ALSO_BZ_FASTA!\nACGTN\n')
finally:
handle.close()
def from_file(cls, filename):
"""Reads an unindexed FASTA file, returning a sequence of
tuples containing the name and sequence of each entry in
the file. The FASTA file may be GZIP/BZ2 compressed."""
fasta_file = open_ro(filename)
try:
for record in FASTA.from_lines(fasta_file):
yield record
finally:
fasta_file.close()
def from_file(cls, filename):
"""Reads an unindexed FASTA file, returning a sequence of
tuples containing the name and sequence of each entry in
the file. The FASTA file may be GZIP/BZ2 compressed."""
fasta_file = open_ro(filename)
try:
for record in FASTA.from_lines(fasta_file):
yield record
finally:
fasta_file.close()
def _read_sample_table(config, filename):
"""Parses a 2 - 3 column tab-seperated table containing, on each row, a
name to be used for a sample in the first row, and then the paths two
either one or to two BAM files, which must represent a single nuclear or
a single mitochondrial alignment (2 columns), or both (3 columns).
"""
log = logging.getLogger(__name__)
log.info("Reading table of samples from %r", filename)
valid_characters = frozenset(string.ascii_letters + string.digits + ".-_")
samples = config.samples = {}
with fileutils.open_ro(filename) as handle:
for linenum, line in enumerate(handle, start=1):
if not line.strip() or line.lstrip().startswith("#"):
continue
fields = [_f for _f in map(str.strip, line.split("\t")) if _f]
if len(fields) not in (2, 3):
log.error(
"Error reading sample table (%r) at line %i: Expected 2 or 3 "
"columns, found %i; please correct file before continuing.",
filename,
linenum,
len(fields),
)
return
name = fields[0]
invalid_letters = frozenset(name) - valid_characters
if invalid_letters:
log.error(
"Error reading sample table (%r) at line %i: Sample name contains "
"illegal character(s). Only letters, numbers, and '-', '_', and "
"'.' are allowed, but found %r in name %r ",
filename,
linenum,
"".join(invalid_letters),
name,
)
return
elif name in samples:
log.error(
"Duplicate name %r in sample table; names must be unique!",
name)
return
samples[name] = {
"Root": os.path.join(config.destination, name),
"Files": fields[1:],
}
return True
def _read_sample_table(config, filename):
"""Parses a 2 - 3 column tab-seperated table containing, on each row, a
name to be used for a sample in the first row, and then the paths two
either one or to two BAM files, which must represent a single nuclear or
a single mitochondrial alignment (2 columns), or both (3 columns).
"""
print_info("Reading table of samples from %r" % (filename, ))
valid_characters = frozenset(string.letters + string.digits + ".-_")
samples = config.samples = {}
with fileutils.open_ro(filename) as handle:
for linenum, line in enumerate(handle, start=1):
if not line.strip() or line.lstrip().startswith("#"):
continue
fields = filter(None, map(str.strip, line.split('\t')))
if len(fields) not in (2, 3):
print_err("Error reading sample table (%r) at line %i: "
"Expected 2 or 3 columns, found %i; please "
"correct file before continuing." %
(filename, linenum, len(fields)))
return
name = fields[0]
invalid_letters = frozenset(name) - valid_characters
if invalid_letters:
print_err("Error reading sample table (%r) at line %i: "
"Sample name contains illegal character(s). Only "
"letters, numbers, and '-', '_', and '.' are "
"allowed, but found %r in name %r " %
(filename, linenum, "".join(invalid_letters), name))
return
elif name in samples:
print_err("Duplicate sample name found in sample table "
"(%r) at line %i: %r. All sample names must "
"be unique!" % (filename, linenum, name))
return
samples[name] = {
"Root": os.path.join(config.destination, name),
"Files": fields[1:]
}
return True
def _read_sample_table(config, filename):
"""Parses a 2 - 3 column tab-seperated table containing, on each row, a
name to be used for a sample in the first row, and then the paths two
either one or to two BAM files, which must represent a single nuclear or
a single mitochondrial alignment (2 columns), or both (3 columns).
"""
print_info("Reading table of samples from %r" % (filename,))
valid_characters = frozenset(string.letters + string.digits + ".-_")
samples = config.samples = {}
with fileutils.open_ro(filename) as handle:
for linenum, line in enumerate(handle, start=1):
if not line.strip() or line.lstrip().startswith("#"):
continue
fields = filter(None, map(str.strip, line.split('\t')))
if len(fields) not in (2, 3):
print_err("Error reading sample table (%r) at line %i: "
"Expected 2 or 3 columns, found %i; please "
"correct file before continuing."
% (filename, linenum, len(fields)))
return
name = fields[0]
invalid_letters = frozenset(name) - valid_characters
if invalid_letters:
print_err("Error reading sample table (%r) at line %i: "
"Sample name contains illegal character(s). Only "
"letters, numbers, and '-', '_', and '.' are "
"allowed, but found %r in name %r "
% (filename, linenum, "".join(invalid_letters), name))
return
elif name in samples:
print_err("Duplicate sample name found in sample table "
"(%r) at line %i: %r. All sample names must "
"be unique!" % (filename, linenum, name))
return
samples[name] = {"Root": os.path.join(config.destination, name),
"Files": fields[1:]}
return True
def _read_files(args):
in_header = True
has_filters = False
vcf_parser = pysam.asVCF()
for filename in args.filenames:
with open_ro(filename, "rb") as handle:
for line in handle:
if not line.startswith(b"#"):
in_header = False
line = line.rstrip(b"\n\r")
vcf = vcf_parser(line, len(line))
if args.reset_filter:
vcf.filter = "."
yield vcf
elif in_header:
if not (line.startswith(b"##") or has_filters):
has_filters = True
for item in sorted(
vcffilter.describe_filters(args).items()):
print('##FILTER=<ID=%s,Description="%s">' % item)
print(line.decode("utf-8"), end="")
def from_file(cls, filename):
"""Reads an unindexed FASTQ file, returning a sequence of
tuples containing the name and sequence of each entry in
the file. The FASTQ file may be GZIP/BZ2 compressed."""
with open_ro(filename) as handle:
yield from FASTQ.from_lines(handle)
def read_bed_file(filename, min_columns=3, contigs=None):
"""Parses a (gzip/bzip2 compressed) BED file, and yields a sequence of
records. Comments and empty lines are skipped. If the number of columns in
the bed record is less than the specified ('min_columns'), a BEDError is
raised. If a dictionary of {contig: length} is supplied, and min_columns
is at least 6, then the coordinates are validated against the known contig
lengths.
"""
if min_columns < 3:
raise ValueError("'min_columns' must be >= 3 in 'read_bed_file'")
infinite = float("inf")
handle = None
try:
handle = fileutils.open_ro(filename)
for (line_num, line) in enumerate(handle):
line = line.strip()
if not line or line.startswith("#"):
continue
try:
bed = BEDRecord(line)
except ValueError, error:
raise BEDError("Error parsing line %i in regions file:\n"
" Path = %r\n Line = %r\n\n%s"
% (line_num + 1, filename, line, error))
if len(bed) < min_columns:
url = "http://genome.ucsc.edu/FAQ/FAQformat.html#format1"
name = repr(bed.name) if len(bed) > 3 else "unnamed record"
raise BEDError("Region at line #%i (%s) does not "
"contain the expected number of fields; "
"the first %i fields are required. C.f. "
"defination at\n %s\n\nPath = %r"
% (line_num, name, min_columns,
url, filename))
if contigs is None:
contig_len = infinite
else:
contig_len = contigs.get(bed.contig)
if contig_len is None:
raise BEDError("Regions file contains contig not found "
"in reference:\n Path = %r\n Contig = "
"%r\n\nPlease ensure that all contig "
"names match the reference names!"
% (filename, bed.contig))
elif not (0 <= bed.start < bed.end <= contig_len):
raise BEDError("Regions file contains invalid region:\n"
" Path = %r\n Contig = %r\n"
" Start = %s\n End = %s\n\n"
"Expected 0 <= Start < End <= %i!"
% (filename, bed.contig, bed.start,
bed.end, contig_len))
yield bed
finally:
if handle:
handle.close()
