def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR)
parser = argparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument('--sample-bam-map', required=True,
help="Yaml file listing BAM file input (value)"
" per sample (key; reused for output filenames here)")
args = parser.parse_args()
# FIXME how to remove the arguments froma argparser in the first place?
assert not args.sample_cfg, ("Usual sample config not supported. Replaced in this pipeline with --sample-bam-map")
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
logger.setLevel(logging.WARN + 10*args.quiet - 10*args.verbose)
aux_logger.setLevel(logging.WARN + 10*args.quiet - 10*args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# turn arguments into cfg_dict (gets merged with other configs late)
#
cfg_dict = dict()
cfg_dict['readunits'] = dict()
cfg_dict['samples'] = dict()
with open(args.sample_bam_map) as fh:
sample_bam_map = dict(yaml.safe_load(fh))
for sample, bam in sample_bam_map.items():
assert os.path.exists(bam)
# if we have relative paths, make them abs relative to cfgfile
if not os.path.isabs(bam):
bam = os.path.abspath(os.path.join(os.path.dirname(args.sample_bam_map), bam))
sample_bam_map[sample] = bam
cfg_dict['sample_bam_map'] = sample_bam_map
pipeline_handler = PipelineHandler(
PIPELINE_NAME, PIPELINE_BASEDIR,
args, cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def LDRefine(args):
logger.info("Preparing LD-based genotype refinement pipeline...")
print_parameters_given(args)
assert os.path.exists("varCall"), "Cannot detect the directory of varaiant detection.\nWEScall varCall has to be run before LD-based genotype refinement."
assert args.num_record_per_file > 0, "Number of records per file has to be larger than 1!"
assert args.num_overlap_record >= 0, "Number of overlapping records has to be larger than 1!"
assert args.num_record_per_file>args.num_overlap_record, "Number of records per file has to be larger than the number of overlapping records."
if not os.path.exists("LDRefine"):
os.mkdir("LDRefine")
LDRefine_cfg=dict()
LDRefine_cfg["num_record_per_file"]=args.num_record_per_file
LDRefine_cfg["num_overlap_record"]=args.num_overlap_record
PIPELINE_BASEDIR = os.path.join(os.path.dirname(sys.argv[0]))
CFG_DIR = os.path.join(PIPELINE_BASEDIR, "cfg")
path_cluster_cfg=os.path.join(PIPELINE_BASEDIR,"cfg","cluster.LDRefine.yaml")
# has to merge cluster
with open(path_cluster_cfg, 'r') as fh:
cluster_cfg = yaml.safe_load(fh)
# turn arguments into user_data that gets merged into pipeline config
#
# generic data first
user_data = dict()
user_data['cluster'] = cluster_cfg
user_data['LDRefine'] = LDRefine_cfg
pipeline_handler = PipelineHandler(
"WEScall_LDRefine", PIPELINE_BASEDIR,
"LDRefine",user_data,
Snakefile="pipelines/LDRefine/Snakefile.beagle."+get_seq_type_from_user_cfg(args.userCfg),
cluster_cfgfile=path_cluster_cfg,
user_cfgfile=args.userCfg)
pipeline_handler.setup_env()
pipeline_handler.submit(no_run=True)
def varCall(args):
logger.info("Preparing varCall pipeline...")
print_parameters_given(args)
logger.info("Validating sample index ...")
validate_sample_list_file(args)
logger.info("Validating user config file ...")
validate_user_cfg(args)
logger.info("Checking existence of essenstial resource files...")
check_resource_files_for_varCall()
logger.info("Checking dependencies...")
check_dependencies()
pipeline_handler = PipelineHandler(
"WEScall_varCall",
PIPELINE_BASEDIR,
Snakefile="pipelines/varCall/Snakefile."+get_seq_type_from_user_cfg(args.userCfg),
outdir="./varCall",
user_data="",
user_cfgfile=args.userCfg,
cluster_cfgfile=CFG_DIR+"/cluster.varCall.yaml"
)
os.system("mkdir -p ./varCall/data")
shutil.copy2(args.sample_list,"./varCall/data/samples.index")
# automatically generate the pedigree file for the user
# Since WEScall does not utilize pedigree information, the pedigree file
# is just a formality so as to let the pipeline run
with open(args.sample_list) as f_in, open("./varCall/data/samples.ped","w") as f_out:
for line in f_in:
record = line.strip().split("\t")
f_out.write("{smp}\t{smp}\t{smp}\t0\t0\n".format(smp=record[0]))
pipeline_handler.setup_env()
pipeline_handler.submit(no_run=True)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument('-t',
"--seqtype",
required=True,
choices=['WGS', 'WES', 'targeted'],
help="Sequencing type")
parser.add_argument('-l',
"--bed",
help="Bed file listing regions of interest."
" Required for WES and targeted sequencing.")
parser.add_argument('-D',
'--dont-mark-dups',
action='store_true',
help="Don't mark duplicate reads")
# raw bam not possible because the pipeline splits on the fly into chromosomes
parser.add_argument(
'--proc-bam',
help="Advanced: Injects processed BAM (overwrites fq options)."
" WARNING: reference and pre-processing need to match pipeline requirements"
)
parser.add_argument('--bam-only',
action='store_true',
help="Don't call variants, just process BAM file")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample, args.proc_bam]):
logger.fatal("Config file overrides fastq and sample arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else: # no sample config, so input is either fastq or existing bam
samples = dict()
if not args.sample:
logger.fatal("Need sample name if not using config file")
sys.exit(1)
if args.proc_bam:
assert not args.fq1, ("BAM injection overwrites fastq arguments")
if args.proc_bam:
assert os.path.exists(args.proc_bam)
readunits = dict()
samples[args.sample] = []
elif args.fq1:
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples[args.sample] = list(readunits.keys())
else:
logger.fatal(
"Need at least one fastq files as argument if not using config file"
)
sys.exit(1)
if args.seqtype in ['WES', 'targeted']:
if not args.bed:
logger.fatal(
"Analysis of exome and targeted sequence runs requires a bed file"
)
sys.exit(1)
else:
if not os.path.exists(args.bed):
logger.fatal("Bed file %s does not exist", args.sample_cfg)
sys.exit(1)
# turn arguments into cfg_dict (gets merged with other configs late)
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['seqtype'] = args.seqtype
cfg_dict['intervals'] = os.path.abspath(
args.bed
) if args.bed else None # always safe, might be used for WGS as well
cfg_dict['mark_dups'] = not args.dont_mark_dups
cfg_dict['bam_only'] = args.bam_only
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
# Inject existing BAM by symlinking (everything upstream is temporary anyway)
# WARNING: filename has to match definition in Snakefile!
if args.proc_bam:
target = os.path.join(args.outdir, "out", args.sample,
"{}.bwamem.lofreq".format(args.sample))
if cfg_dict['mark_dups']:
target += ".dedup"
target += ".lacer.bam"
os.makedirs(os.path.dirname(target))
os.symlink(os.path.abspath(args.proc_bam), target)
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, allow_missing_cfgfile=True)
parser = argparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument(
'-1',
"--fq1",
nargs="+",
help="FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'-2',
"--fq2",
nargs="+",
help="FastQ file/s (if paired) (gzip only). See also --fq1")
parser.add_argument('-s',
"--sample",
help="Sample name. Collides with --sample-cfg.")
parser.add_argument(
'-r', "--reffa", required=True,
help="Reference genome") # FIXME create local copy for indexing?
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal("Config file overrides fastq and sample arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else: # no sample config, so input is either fastq or existing bam
samples = dict()
if not args.sample:
logger.fatal("Need sample name if not using config file")
sys.exit(1)
if args.fq1:
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples[args.sample] = list(readunits.keys())
else:
logger.fatal(
"Need at least one fastq files as argument if not using config file"
)
sys.exit(1)
for ru in readunits.values():
assert ru['fq2'], (
"FastQ R2 missing, but assemblers assume paired-end reads")
# turn arguments into cfg_dict (gets merged with other configs late)
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
assert os.path.exists(args.reffa)
# FIXME only works because yaml missing and thus not overwritten
cfg_dict['references'] = {'genome': os.path.abspath(args.reffa)}
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument(
"--control-fq1",
nargs="+",
help="Control FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'--control-fq2',
nargs="+",
help=
"Control FastQ file/s (if paired) (gzip only). See also --control-fq1")
parser.add_argument(
"--treatment-fq1",
nargs="+",
help="Treatment FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'--treatment-fq2',
nargs="+",
help=
"Treatment FastQ file/s (if paired) (gzip only). See also --treatment-fq1"
)
parser.add_argument(
'--control-bam',
help="Advanced: Injects control BAM (overwrites control-fq options)."
" WARNING: reference and postprocessing need to match pipeline requirements"
)
parser.add_argument(
'--treatment-bam',
help="Advanced: Injects treatment BAM (overwrites treatment-fq options)."
" WARNING: reference and postprocessing need to match pipeline requirements"
)
choices = ['bwa-aln', 'bwa-mem']
default = choices[0]
parser.add_argument('--mapper',
default=default,
choices=choices,
help="Mapper to use. One of {}. Default {}".format(
",".join(choices), default))
choices = ['TF', 'histone-narrow', 'histone-broad'] #, 'open-chromatin']
parser.add_argument('-t',
'--peak-type',
required=True,
choices=choices,
help="Peak type. One of {}".format(",".join(choices)))
parser.add_argument('--skip-macs2',
action='store_true',
help="Don't run MACS2")
parser.add_argument('--skip-dfilter',
action='store_true',
help="Don't run DFilter")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([
args.control_fq1, args.control_fq2, args.treatment_fq1,
args.treatment_fq2, args.control_bam, args.treatment_bam
]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
samples = dict()
if args.control_bam:
control_readunits = dict()
samples["control"] = []
assert os.path.exists(args.control_bam)
else:
if not all([args.control_fq1, args.treatment_fq1]):
logger.fatal(
"Need at least fq1 and sample without config file")
sys.exit(1)
control_readunits = get_readunits_from_args(
args.control_fq1, args.control_fq2)
samples["control"] = list(control_readunits.keys())
if args.treatment_bam:
treatment_readunits = dict()
samples["treatment"] = []
assert os.path.exists(args.treatment_bam)
else:
treatment_readunits = get_readunits_from_args(
args.treatment_fq1, args.treatment_fq2)
samples["treatment"] = list(treatment_readunits.keys())
readunits = dict(control_readunits)
readunits.update(treatment_readunits)
assert sorted(samples) == sorted(["control", "treatment"])
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
# either paired end or not, but no mix allows
if all([ru.get('fq2') for ru in readunits.values()]):
cfg_dict['paired_end'] = True
elif not any([ru.get('fq2') for ru in readunits.values()]):
cfg_dict['paired_end'] = False
else:
logger.fatal("Mixed paired-end and single-end not allowed")
sys.exit(1)
cfg_dict['peak_type'] = args.peak_type
cfg_dict['mapper'] = args.mapper
cfg_dict['skip_macs2'] = args.skip_macs2
cfg_dict['skip_dfilter'] = args.skip_dfilter
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
if args.control_bam or args.treatment_bam:
raise NotImplementedError("BAM injection not implemented yet")
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument(
"--normal-fq1",
nargs="+",
help="Normal FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'--normal-fq2',
nargs="+",
help=
"Normal FastQ file/s (if paired) (gzip only). See also --normal-fq1")
parser.add_argument(
"--tumor-fq1",
nargs="+",
help="Tumor FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'--tumor-fq2',
nargs="+",
help="Tumor FastQ file/s (if paired) (gzip only). See also --tumor-fq1"
)
parser.add_argument('-t',
"--seqtype",
required=True,
choices=['WGS', 'WES', 'targeted'],
help="Sequencing type")
parser.add_argument('-l',
"--bed",
help="Bed file listing regions of interest."
" Required for WES and targeted sequencing.")
parser.add_argument('-D',
'--dont-mark-dups',
action='store_true',
help="Don't mark duplicate reads")
parser.add_argument(
'--normal-bam',
help="Advanced: Injects normal BAM (overwrites normal-fq options)."
" WARNING: reference and postprocessing need to match pipeline requirements"
)
parser.add_argument(
'--tumor-bam',
help="Advanced: Injects tumor BAM (overwrites tumor-fq options)."
" WARNING: reference and postprocessing need to match pipeline requirements"
)
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([
args.normal_fq1, args.normal_fq2, args.tumor_fq1,
args.tumor_fq2, args.normal_bam, args.tumor_bam
]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
samples = dict()
if args.normal_bam:
normal_readunits = dict()
samples["normal"] = []
assert os.path.exists(args.normal_bam)
else:
if not all([args.normal_fq1, args.tumor_fq1]):
logger.fatal(
"Need at least fq1 and sample without config file")
sys.exit(1)
normal_readunits = get_readunits_from_args(args.normal_fq1,
args.normal_fq2)
samples["normal"] = list(normal_readunits.keys())
if args.tumor_bam:
tumor_readunits = dict()
samples["tumor"] = []
assert os.path.exists(args.tumor_bam)
else:
tumor_readunits = get_readunits_from_args(args.tumor_fq1,
args.tumor_fq2)
samples["tumor"] = list(tumor_readunits.keys())
readunits = dict(normal_readunits)
readunits.update(tumor_readunits)
assert sorted(samples) == sorted(["normal", "tumor"])
# FIXME howt to
# if not os.path.exists(reffa):
# logger.fatal("Reference '%s' doesn't exist", reffa)
# sys.exit(1)
#
#for p in ['bwa', 'samtools']:
# if not ref_is_indexed(reffa, p):
# logger.fatal("Reference '%s' doesn't appear to be indexed with %s", reffa, p)
# sys.exit(1)
if args.seqtype in ['WES', 'targeted']:
if not args.bed:
logger.fatal(
"Analysis of exome and targeted sequence runs requires a bed file"
)
sys.exit(1)
else:
if not os.path.exists(args.bed):
logger.fatal("Bed file %s does not exist", args.sample_cfg)
sys.exit(1)
logger.warning("Compatilibity between bed file and"
" reference not checked") # FIXME
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['seqtype'] = args.seqtype
cfg_dict['intervals'] = os.path.abspath(args.bed) if args.bed else None
cfg_dict['mark_dups'] = not args.dont_mark_dups
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
# inject existing BAM by symlinking (everything upstream is temporary anyway)
for sample, bam in [("normal", args.normal_bam),
("tumor", args.tumor_bam)]:
if bam:
# target as defined in Snakefile!
target = os.path.join(
args.outdir, "out", sample,
"{}.bwamem.lofreq.dedup.lacer.bam".format(sample))
os.makedirs(os.path.dirname(target))
os.symlink(os.path.abspath(bam), target)
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
#/
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
# FIXME implement checks on reffa index (currently not exposed via args)
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR)
parser = argparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument(
'-1',
"--fq1",
nargs="+",
help="FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'-2',
"--fq2",
nargs="+",
help="FastQ file/s (if paired) (gzip only). See also --fq1")
parser.add_argument('-s',
"--sample",
help="Sample name. Collides with --sample-cfg.")
parser.add_argument('-C',
"--cuffdiff",
action='store_true',
dest="run_cuffdiff",
help="Also run cuffdiff")
parser.add_argument('-S',
'--stranded',
action='store_true',
help="Stranded library prep (default is unstranded)")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
# FIXME checks on reffa index (currently not exposed via args)
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['stranded'] = args.stranded
cfg_dict['run_cuffdiff'] = args.run_cuffdiff
cfg_dict['paired_end'] = any(ru.get('fq2') for ru in readunits.values())
if cfg_dict['paired_end']:
assert all(ru.get('fq2') for ru in readunits.values()), (
"Can't handle mix of paired-end and single-end")
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument("--cuffdiff",
action='store_true',
dest="run_cuffdiff",
help="Also run cuffdiff")
choices = ["none", "forward", "reverse"]
default = "none"
parser.add_argument(
'--stranded',
choices=choices,
default=default,
help=
"Stranded library prep (default is {}; Following RSEM definition but see also"
" http://chipster.csc.fi/manual/library-type-summary.html)".format(
default))
parser.add_argument(
'--rsem-estimate-rspd',
action='store_true',
help="Estimate read start position distribution in RSEM")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
# FIXME add checks on reffa index (currently not exposed via args)
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['rsem_extra_args'] = ''
if args.rsem_estimate_rspd:
cfg_dict['rsem_extra_args'] += ' --estimate-rspd'
cfg_dict['stranded'] = args.stranded
cfg_dict['run_cuffdiff'] = args.run_cuffdiff
cfg_dict['paired_end'] = any(ru.get('fq2') for ru in readunits.values())
if cfg_dict['paired_end']:
assert all(ru.get('fq2') for ru in readunits.values()), (
"Can't handle mix of paired-end and single-end")
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
# FIXME ugly and code duplication in bcl2fastq_dbupdate.py
mongo_status_script = os.path.abspath(
os.path.join(os.path.dirname(sys.argv[0]), "mongo_status.py"))
assert os.path.exists(mongo_status_script)
default_parser = default_argparser(CFG_DIR,
allow_missing_cfgfile=True,
allow_missing_outdir=True,
default_db_logging=True)
parser = argparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument('-r',
"--runid",
help="Run ID plus flowcell ID (clashes with -d)")
parser.add_argument(
'-d',
"--rundir",
help=
"BCL input directory (clashes with -r; you also probably want to disable logging)"
)
parser.add_argument('-t',
"--testing",
action='store_true',
help="Use MongoDB test server")
parser.add_argument('--no-archive',
action='store_true',
help="Don't archieve this analysis")
parser.add_argument(
'-l',
'--lanes',
type=int,
nargs="*",
help="Limit run to given lane/s (multiples separated by space")
parser.add_argument(
'-i',
'--mismatches',
type=int,
help="Max. number of allowed barcode mismatches (0>=x<=2)"
" setting a value here overrides the default settings read from ELM)")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if args.mismatches is not None:
if args.mismatches > 2 or args.mismatches < 0:
logger.fatal("Number of mismatches must be between 0-2")
sys.exit(1)
lane_info = ''
lane_nos = []
if args.lanes:
lane_info = '--tiles '
for lane in args.lanes:
if lane > 8 or lane < 1:
logger.fatal("Lane number must be between 1-8")
sys.exit(1)
else:
lane_info += 's_{}'.format(lane) + ','
lane_info = lane_info.rstrip()
lane_info = lane_info[:-1]
lane_nos = list(args.lanes)
if args.runid and args.rundir:
logger.fatal(
"Cannot use run-id and input directory arguments simultaneously")
sys.exit(1)
elif args.runid:
rundir = run_folder_for_run_id(args.runid)
elif args.rundir:
rundir = os.path.abspath(args.rundir)
else:
logger.fatal("Need either run-id or input directory")
sys.exit(1)
if not os.path.exists(rundir):
logger.fatal("Expected run directory %s does not exist", rundir)
logger.info("Rundir is %s", rundir)
if not args.outdir:
outdir = get_bcl2fastq_outdir(args.runid)
args.outdir = outdir
else:
outdir = args.outdir
if os.path.exists(outdir):
logger.fatal("Output directory %s already exists", outdir)
sys.exit(1)
# create now so that generate_bcl2fastq_cfg.py can run
os.makedirs(outdir)
# catch cases where rundir was user provided and looks weird
try:
_, runid, flowcellid = get_machine_run_flowcell_id(rundir)
run_num = runid + "_" + flowcellid
except:
run_num = "UNKNOWN-" + rundir.split("/")[-1]
# call generate_bcl2fastq_cfg
#
# FIXME ugly assumes same directory (just like import above). better to import and run main()?
generate_bcl2fastq = os.path.join(os.path.dirname(sys.argv[0]),
"generate_bcl2fastq_cfg.py")
assert os.path.exists(generate_bcl2fastq)
cmd = [generate_bcl2fastq, '-r', rundir, '-o', outdir]
if args.testing:
cmd.append("-t")
logger.debug("Executing %s", ' '.join(cmd))
try:
res = subprocess.check_output(cmd, stderr=subprocess.STDOUT)
except subprocess.CalledProcessError as e:
logger.fatal("The following command failed with return code %s: %s",
e.returncode, ' '.join(cmd))
logger.fatal("Output: %s", e.output.decode())
logger.fatal("Exiting")
os.rmdir(outdir)
sys.exit(1)
# generate_bcl2fastq is normally quiet. if there's output, make caller aware of it
# use sys instead of logger to avoid double logging
if res:
sys.stderr.write(res.decode())
# just created files
muxinfo_cfg = os.path.join(outdir, MUXINFO_CFG)
status_cfg = os.path.join(outdir, STATUS_CFG)
# NOTE: signal for failed runs is exit 0 from generate_bcl2fastq and missing output files
#
if any([not os.path.exists(x) for x in [muxinfo_cfg]]):
# one missing means all should be missing
assert all([not os.path.exists(x) for x in [muxinfo_cfg]])
#Check status as seqrunfailed or non-bcl run
with open(status_cfg, 'r') as fh:
status = fh.read().strip()
update_run_status(mongo_status_script, run_num, outdir, status,
args.testing)
sys.exit(0)
# turn arguments into cfg_dict that gets merged into pipeline config
cfg_dict = {
'rundir': rundir,
'lanes_arg': lane_info,
'no_archive': args.no_archive,
'run_num': run_num
}
mux_units = get_mux_units_from_cfgfile(muxinfo_cfg, lane_nos)
if args.mismatches is not None:
mux_units = [
mu._replace(barcode_mismatches=args.mismatches) for mu in mux_units
]
os.unlink(muxinfo_cfg)
cfg_dict['units'] = dict()
for mu in mux_units:
# special case: mux split across multiple lanes. make lanes a list
# and add in extra lanes if needed.
k = mu.mux_dir
mu_dict = dict(mu._asdict())
cfg_dict['units'][k] = mu_dict
# create mongodb update command, used later, after submission
mongo_update_cmd = "{} -r {} -s STARTED".format(mongo_status_script,
cfg_dict['run_num'])
mongo_update_cmd += " -a $ANALYSIS_ID -o {}".format(
outdir) # set in run.sh
if args.testing:
mongo_update_cmd += " -t"
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
logger_cmd=mongo_update_cmd,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument('-t',
"--seqtype",
required=True,
choices=['WGS', 'WES', 'targeted'],
help="Sequencing type")
parser.add_argument('-l',
"--bed",
help="Bed file listing regions of interest."
" Required for WES and targeted sequencing.")
default = 4
parser.add_argument(
"-c",
"--hc-nct",
default=default,
type=int,
help="Number of Haplotype Caller threads (per region cluster)."
" Values>1 reported to make Haplotype Caller unstable (default={})".
format(default))
default = 100
parser.add_argument(
'-i',
"--interval-padding",
default=default,
help="Interval padding (for non-WGS only; default = {})".format(
default))
parser.add_argument(
'-j',
"--joint-calls",
action='store_true',
help="Perform joint/cohort calling (requires multisample input)")
parser.add_argument(
'--raw-bam',
help=
"Advanced: Injects raw (pre-dedup, pre-BQSR etc.) BAM (overwrites fq options)."
" WARNING: reference needs to match pipeline requirements")
parser.add_argument(
'--proc-bam',
help=
"Advanced: Injects processed (post-dedup, post-BQSR etc.) BAM (overwrites fq options)."
" WARNING: reference and pre-processing need to match pipeline requirements"
)
# FIXME can be achieved with --until rule as well
parser.add_argument('--bam-only',
action='store_true',
help="Only process up until BAM file")
parser.add_argument('--gvcf-only',
action='store_true',
help="Only process up until GVCF file")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample, args.raw_bam, args.proc_bam]):
logger.fatal(
"Config file overrides fastq, sample and BAM arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else: # no sample config, so input is either fastq or existing bam
samples = dict()
if not args.sample:
logger.fatal("Need sample name if not using config file")
sys.exit(1)
if args.raw_bam or args.proc_bam:
assert not args.fq1, ("BAM injection overwrites fastq arguments")
if args.raw_bam:
assert os.path.exists(args.raw_bam)
assert not args.proc_bam, (
"Cannot inject raw and processed BAM")
if args.proc_bam:
assert os.path.exists(args.proc_bam)
assert not args.raw_bam, (
"Cannot inject raw and processed BAM")
readunits = dict()
samples[args.sample] = []
elif args.fq1:
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples[args.sample] = list(readunits.keys())
else:
logger.fatal(
"Need at least one fastq files as argument if not using config file"
)
sys.exit(1)
if args.seqtype in ['WES', 'targeted']:
if not args.bed:
logger.fatal(
"Analysis of exome and targeted sequence runs requires a bed file"
)
sys.exit(1)
else:
if not os.path.exists(args.bed):
logger.fatal("Bed file %s does not exist", args.sample_cfg)
sys.exit(1)
if args.joint_calls:
if len(samples) < 2:
logger.fatal("Need at least two samples for joint calling")
sys.exit(1)
# turn arguments into cfg_dict (gets merged with other configs late)
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['seqtype'] = args.seqtype
cfg_dict['intervals'] = os.path.abspath(
args.bed
) if args.bed else None # always safe, might be used for WGS as well
cfg_dict['mark_dups'] = MARK_DUPS
cfg_dict['bam_only'] = args.bam_only
cfg_dict['gvcf_only'] = args.gvcf_only
cfg_dict['hc_nct'] = args.hc_nct
cfg_dict['joint_calls'] = args.joint_calls
cfg_dict['interval_padding'] = args.interval_padding
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
# Inject existing BAM by symlinking (everything upstream is temporary anyway)
# WARNING: filename has to match definition in Snakefile!
if args.raw_bam:
target = os.path.join(args.outdir, "out", args.sample,
"{}.bwamem.bam".format(args.sample))
os.makedirs(os.path.dirname(target))
os.symlink(os.path.abspath(args.raw_bam), target)
src_bai = os.path.abspath(args.raw_bam) + ".bai"
if os.path.exists(src_bai):
os.symlink(src_bai, target + ".bai")
elif args.proc_bam:
target = os.path.join(args.outdir, "out", args.sample,
"{}.bwamem".format(args.sample))
if cfg_dict['mark_dups']:
target += ".dedup"
if cfg_dict['seqtype'] != 'targeted':
target += ".bqsr"
target += ".bam"
os.makedirs(os.path.dirname(target))
os.symlink(os.path.abspath(args.proc_bam), target)
if os.path.exists(os.path.abspath(args.proc_bam) + ".bai"):
os.symlink(
os.path.abspath(args.proc_bam) + ".bai", target + ".bai")
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
default = 2000
parser.add_argument(
"--fragment-length",
type=int,
default=default,
help="Fragment length argument for Bowtie (default {})".format(
default))
default = 200
parser.add_argument(
"--extsize",
type=int,
default=default,
help=
"extsize argument for MACS2; only used for single-end reads (default {})"
.format(default))
default = -100
parser.add_argument(
"--shift",
type=int,
default=default,
help=
"shift argument for MACS2; only used for single-end reads (default {})"
.format(default))
default = 250
parser.add_argument(
"--peak-ext-bp",
type=int,
default=default,
help="Extension around peaks for bed creation (default {})".format(
default))
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['paired_end'] = any(ru.get('fq2') for ru in readunits.values())
if cfg_dict['paired_end']:
assert all(ru.get('fq2') for ru in readunits.values()), (
"Can't handle mix of paired-end and single-end")
cfg_dict['mapper'] = 'bowtie2' # FIXME fixed for now
# cfg_dict["bowtie2_custom_args"]
# cfg_dict['platform']
# cfg_dict['center']
# cfg_dict["macs2_custom_args"]
cfg_dict['fragment_length'] = args.fragment_length
cfg_dict['shift'] = args.shift
cfg_dict['extsize'] = args.extsize
cfg_dict["peak_ext_bp"] = args.peak_ext_bp
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR)
parser = argparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument(
'-1',
"--fq1",
nargs="+",
help="FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument(
'-2',
"--fq2",
nargs="+",
help="FastQ file/s (if paired) (gzip only). See also --fq1")
parser.add_argument('-s',
"--sample",
help="Sample name. Collides with --sample-cfg.")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
# FIXME now exported to ref.cfg. how to auto check there?
#if not os.path.exists(args.reffa):
# logger.fatal("Reference '%s' doesn't exist", args.reffa)
# sys.exit(1)
#
#for p in ['bwa', 'samtools']:
# if not ref_is_indexed(args.reffa, p):
# logger.fatal("Reference '%s' doesn't appear to be indexed"
# " with %s", args.reffa, p)
# sys.exit(1)
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['mark_dups'] = MARK_DUPS
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
default = ['kraken', 'metaphlan2']
parser.add_argument("-p",
"--profilers",
nargs='+',
default=default,
help="Profilers to run (default = {}".format(
", ".join(default)))
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal("Config file overrides fastq and sample arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else: # no sample config, so input is either fastq or existing bam
samples = dict()
if not args.sample:
logger.fatal("Need sample name if not using config file")
sys.exit(1)
if args.fq1:
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples[args.sample] = list(readunits.keys())
else:
logger.fatal(
"Need at least one fastq files as argument if not using config file"
)
sys.exit(1)
for ru in readunits.values():
assert ru['fq2'], (
"FastQ R2 missing, but pipelines requires paired-end reads")
# turn arguments into cfg_dict (gets merged with other configs late)
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['profilers'] = args.profilers
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR)
parser = argparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
parser.add_argument('-1', "--fq1", nargs="+",
help="FastQ file/s (gzip only)."
" Multiple input files supported (auto-sorted)."
" Note: each file (or pair) gets a unique read-group id."
" Collides with --sample-cfg.")
parser.add_argument('-2', "--fq2", nargs="+",
help="FastQ file/s (if paired) (gzip only). See also --fq1")
parser.add_argument('-s', "--sample",
help="Sample name. Collides with --sample-cfg.")
parser.add_argument('-D', '--dont-mark-dups', action='store_true',
help="Don't mark duplicate reads")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10*args.quiet - 10*args.verbose)
aux_logger.setLevel(logging.WARN + 10*args.quiet - 10*args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal("Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file %s does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
cfg_dict['mark_dups'] = not args.dont_mark_dups
# create mongodb update command, used later, after submission
#mongo_update_cmd = "true"{} -r {} -s STARTED".format(mongo_status_script, cfg_dict['run_num'])
#mongo_update_cmd += " -a $ANALYSIS_ID -o {}".format(outdir)# set in run.sh
#if args.testing:
# mongo_update_cmd += " -t"
pipeline_handler = PipelineHandler(
PIPELINE_NAME, PIPELINE_BASEDIR,
args, cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
def main():
"""main function
"""
default_parser = default_argparser(CFG_DIR, with_readunits=True)
parser = configargparse.ArgumentParser(description=__doc__.format(
PIPELINE_NAME=PIPELINE_NAME, PIPELINE_VERSION=get_pipeline_version()),
parents=[default_parser])
parser._optionals.title = "Arguments"
# pipeline specific args
#/
parser.add_argument('-c',
"--cell-barcodes",
required=True,
help="File listing cell barcodes")
d = 200
parser.add_argument(
"--frag-len",
default=d,
type=int,
help="Estimated fragment length (default={})".format(d))
d = 20.0
parser.add_argument(
'--frag-len-sd',
default=d,
type=float,
help="Estimated fragment length standard deviation (default={})".
format(d))
parser.add_argument(
'--dedup',
action="store_true",
help="Run UMI-based deduplication (slow for large data-sets!)")
args = parser.parse_args()
# Repeateable -v and -q for setting logging level.
# See https://www.reddit.com/r/Python/comments/3nctlm/what_python_tools_should_i_be_using_on_every/
# and https://gist.github.com/andreas-wilm/b6031a84a33e652680d4
# script -vv -> DEBUG
# script -v -> INFO
# script -> WARNING
# script -q -> ERROR
# script -qq -> CRITICAL
# script -qqq -> no logging at all
logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
aux_logger.setLevel(logging.WARN + 10 * args.quiet - 10 * args.verbose)
if os.path.exists(args.outdir):
logger.fatal("Output directory %s already exists", args.outdir)
sys.exit(1)
# samples is a dictionary with sample names as key (mostly just
# one) and readunit keys as value. readunits is a dict with
# readunits (think: fastq pairs with attributes) as value
if args.sample_cfg:
if any([args.fq1, args.fq2, args.sample]):
logger.fatal(
"Config file overrides fastq and sample input arguments."
" Use one or the other")
sys.exit(1)
if not os.path.exists(args.sample_cfg):
logger.fatal("Config file '%s' does not exist", args.sample_cfg)
sys.exit(1)
samples, readunits = get_samples_and_readunits_from_cfgfile(
args.sample_cfg)
else:
if not all([args.fq1, args.sample]):
logger.fatal("Need at least fq1 and sample without config file")
sys.exit(1)
readunits = get_readunits_from_args(args.fq1, args.fq2)
# all readunits go into this one sample specified on the command-line
samples = dict()
samples[args.sample] = list(readunits.keys())
for ru in readunits.values():
assert ru['fq2'], (
"FastQ R2 missing, but pipeline requires paired-end reads")
# turn arguments into cfg_dict that gets merged into pipeline config
#
cfg_dict = dict()
cfg_dict['readunits'] = readunits
cfg_dict['samples'] = samples
if not os.path.exists(args.cell_barcodes):
logger.fatal("Cellular barcodes file '%s' does not exist",
args.cell_barcodes)
sys.exit(1)
cfg_dict['cell_barcodes'] = os.path.abspath(args.cell_barcodes)
cfg_dict['frag_len'] = args.frag_len
cfg_dict['frag_len_sd'] = args.frag_len_sd
cfg_dict['no_dedup'] = not args.dedup
cfg_dict['scrnapipe_transform'] = os.path.abspath(
os.path.join(PIPELINE_BASEDIR, 'aux/transform.json'))
cfg_dict['scrna_conf_template'] = os.path.abspath(
os.path.join(PIPELINE_BASEDIR, 'aux/scrna.conf.template'))
cfg_dict['adapters'] = os.path.abspath(
os.path.join(PIPELINE_BASEDIR, 'aux/adapters.fa'))
pipeline_handler = PipelineHandler(
PIPELINE_NAME,
PIPELINE_BASEDIR,
args,
cfg_dict,
cluster_cfgfile=get_cluster_cfgfile(CFG_DIR))
pipeline_handler.setup_env()
pipeline_handler.submit(args.no_run)
