def merge(in_files,
out_file,
attach_read_group_from_file_name=False,
header_file=None,
compression_level=9,
num_compression_threads=0):
cmd = [
'samtools',
'merge',
'-c',
'-p',
'-f',
'-l',
compression_level,
'-@',
num_compression_threads,
]
if attach_read_group_from_file_name:
cmd.append('-r')
if header_file is not None:
cmd.extend(['-h', header_file])
cmd.append(out_file)
for file_name in flatten_input(in_files):
cmd.append(file_name)
pypeliner.commandline.execute(*cmd)
pypeliner.commandline.execute('samtools', 'index', out_file,
_get_bam_index_filename(out_file))
def concatenate_tables(in_files,
out_file,
ignore_empty_files=False,
use_gzip=True):
if use_gzip:
open_func = gzip.GzipFile
else:
open_func = open
write_header = True
with open_func(out_file, 'w') as out_fh:
for file_name in flatten_input(in_files):
try:
df = pd.read_csv(file_name, sep='\t')
except EmptyDataError as e:
if ignore_empty_files:
continue
else:
raise e
if df.empty:
continue
df.to_csv(out_fh, header=write_header, index=False, sep='\t')
write_header = False
def write_header_file(in_files, out_file, seq_info):
bam = pysam.AlignmentFile(flatten_input(in_files)[0],
mode='r',
check_sq=False)
header = bam.header.copy()
bam.close()
for x in header['PG'][0]['CL'].split('\t'):
if ':' in x:
key, value = x.split(':')
header['PG'][0][key] = value
header['PG'] = [{
'ID': 'bwa',
'VN': header['PG'][0]['VN'],
'CL': 'bwa aln; bwa sampe'
}]
for entry in header['SQ']:
for key in seq_info:
entry[key] = seq_info[key]
pysam.AlignmentFile(out_file, header=header, mode='wh').close()
def merge_vcfs(in_files, out_file):
in_files = flatten_input(in_files)
with open(out_file, 'w') as out_fh:
write_header(out_fh)
writer = csv.DictWriter(
out_fh,
['CHROM', 'POS', 'ID', 'REF', 'ALT', 'QUAL', 'FILTER', 'INFO'],
delimiter='\t')
reader = MultiVcfReader(in_files)
for row in reader:
writer.writerow({
'CHROM': row.chrom,
'POS': row.coord,
'ID': '.',
'REF': row.ref,
'ALT': row.alt,
'QUAL': '.',
'FILTER': '.',
'INFO': '.'
})
reader.close()
def concatenate(in_files, out_file):
""" Concatenate FASTQ files.
"""
with gzip.GzipFile(out_file, 'w') as out_fh:
for in_file in flatten_input(in_files):
with gzip.GzipFile(in_file, 'r') as in_fh:
out_fh.write(in_fh.read())
def concatenate_bcf(in_files, out_file):
""" Fast concatenation of BCF file using `bcftools`.
:param in_files: dict with values being files to be concatenated. Files will be concatenated based on sorted order of keys.
:param out_file: path where output file will be written in VCF format.
"""
cmd = ['bcftools', 'concat', '-a', '-O', 'b', '-o', out_file]
cmd += flatten_input(in_files)
pypeliner.commandline.execute(*cmd)
index_vcf(out_file)
index_bcf(out_file)
def mark_duplicates(in_files,
out_file,
compression_level=9,
hash_table_size=262144,
io_buffer_size=128,
num_threads=1,
overflow_list_size=200000,
tmp_dir=None):
try:
if tmp_dir is None:
tmp_dir = tempfile.mkdtemp()
clean_up = True
else:
clean_up = False
cmd = [
'sambamba',
'markdup',
'-p',
'-l',
compression_level,
'-t',
num_threads,
'--io-buffer-size={0}'.format(io_buffer_size),
'--hash-table-size={0}'.format(hash_table_size),
'--overflow-list-size={0}'.format(overflow_list_size),
'--tmpdir',
tmp_dir,
]
cmd.extend(flatten_input(in_files))
cmd.append(out_file)
pypeliner.commandline.execute(*cmd)
finally:
if clean_up:
shutil.rmtree(tmp_dir)
pypeliner.commandline.execute('samtools', 'index', out_file,
_get_bam_index_filename(out_file))
def concatenate_vcf(in_files, out_file, allow_overlap=False, docker_config={}):
""" Fast concatenation of VCF file using `bcftools`.
:param in_files: dict with values being files to be concatenated. Files will be concatenated based on sorted order of keys.
:param out_file: path where output file will be written in VCF format.
"""
if allow_overlap:
cmd = ['bcftools', 'concat', '-a', '-O', 'z', '-o', out_file]
else:
cmd = ['bcftools', 'concat', '-O', 'z', '-o', out_file]
cmd += flatten_input(in_files)
pypeliner.commandline.execute(*cmd, **docker_config)
index_vcf(out_file, docker_config=docker_config)
index_bcf(out_file, docker_config=docker_config)
def concatenate_tables(in_files,
out_file,
drop_duplicates=False,
in_memory=True,
non_numeric_as_category=True):
in_files = flatten_input(in_files)
# Only support drop duplicatess in memory
if drop_duplicates or in_memory:
_concatenate_tables_in_memory(
in_files,
out_file,
drop_duplicates=drop_duplicates,
non_numeric_as_category=non_numeric_as_category)
else:
_concatenate_tables_on_disk(
in_files,
out_file,
non_numeric_as_category=non_numeric_as_category)
def merge(in_files, out_file, index_file=None):
os.environ['MALLOC_ARENA_MAX'] = '4'
cmd = [
'picard',
'-XX:ParallelGCThreads=1',
'-Xmx8g',
'MergeSamFiles',
'OUTPUT={0}'.format(out_file),
'VALIDATION_STRINGENCY=LENIENT',
]
for file_name in flatten_input(in_files):
cmd.append('INPUT={0}'.format(file_name))
pypeliner.commandline.execute(*cmd)
if index_file is not None:
cmd = ['samtools', 'index', out_file, index_file]
pypeliner.commandline.execute(*cmd)
def merge(in_files,
reference_genome_fasta_file,
out_file,
attach_read_group_from_file_name=False,
header_file=None,
compression_level=9,
num_compression_threads=0):
cmd = [
'samtools',
'merge',
'-c',
'-p',
'-f',
'-l',
compression_level,
'-@',
num_compression_threads,
'--output-fmt',
'cram',
'--reference',
reference_genome_fasta_file,
]
if attach_read_group_from_file_name:
cmd.append('-r')
if header_file is not None:
cmd.extend(['-h', header_file])
cmd.append(out_file)
for file_name in flatten_input(in_files):
cmd.append(file_name)
pypeliner.commandline.execute(*cmd)
