def main():
info(' '.join(sys.argv))
info()
description = 'This script converts Vardict TXT file to VCF.'
parser = OptionParser(
description=description,
usage='Usage: ' + basename(__file__) +
' [-o Output_directory -c Var_caller_name] Project_directory')
add_cnf_t_reuse_prjname_donemarker_workdir_genome_debug(parser)
parser.add_option('--log-dir', dest='log_dir', default='-')
parser.add_option('-c', '--caller', dest='caller_name', default='vardict')
parser.add_option('-o', dest='output_dir', help='Output directory.')
cnf, bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths, tags, is_wgs_in_bcbio, is_rnaseq \
= process_post_bcbio_args(parser)
if not bcbio_project_dirpaths:
parser.print_help(file=sys.stderr)
sys.exit(1)
bcbio_structures = []
for bcbio_project_dirpath, bcbio_cnf, final_dirpath in zip(
bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths):
bs = BCBioStructure(cnf, bcbio_project_dirpath, bcbio_cnf,
final_dirpath)
bcbio_structures.append(bs)
cnf.work_dir = cnf.work_dir or adjust_path(join(cnf.output_dir, 'work'))
safe_mkdir(cnf.work_dir)
info('')
info('*' * 70)
for bs in bcbio_structures:
for sample in bs.samples:
if sample.phenotype != 'normal':
convert_vardict_txts_to_bcbio_vcfs(cnf, bs, sample)
def main():
info(' '.join(sys.argv))
info()
description = 'This script evaluate capture target.'
parser = OptionParser(description=description)
add_cnf_t_reuse_prjname_donemarker_workdir_genome_debug(parser)
parser.add_option('--log-dir', dest='log_dir')
parser.add_option('--exac-only-filtering',
dest='prepare_for_exac',
action='store_true',
default=False,
help='Export filtered regions to ExAC browser.')
parser.add_option('--exac',
dest='add_to_exac',
action='store_true',
default=False,
help='Export coverage data to ExAC browser.')
parser.add_option('--bed',
'--capture',
'--amplicons',
dest='bed',
help='BED file to overlap.')
parser.add_option(
'--tricky-regions',
dest='tricky_regions',
action='store_true',
default=False,
help='Use high GC, low GC, low complexity regions to overlap.')
parser.add_option('--min-percent',
dest='min_percent',
default='0.5',
help='Minimal percent of region which has low coverage.')
parser.add_option(
'--min-ratio',
dest='min_ratio',
default='0.5',
help='Minimal percent of samples which share the same feature.')
parser.add_option('--min-depth',
dest='min_depth',
help='Coverage threshold.')
parser.add_option('--metadata',
dest='metadata',
help='Samples type for each project '
'(plasma, cell_line, ffpe, deepseq, exome, wgs).')
parser.add_option('-o', dest='output_dir', help='Output directory.')
cnf, bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths, tags, is_wgs_in_bcbio, is_rnaseq \
= process_post_bcbio_args(parser)
if not cnf.project_name:
cnf.add_to_exac = False
cnf.project_name = 'CaptureTargetEvaluation'
if cnf.prepare_for_exac:
cnf.output_dir = join(get_exac_dir(cnf), 'coverage', cnf.project_name)
elif cnf.output_dir is None:
cnf.output_dir = join(os.getcwd(), cnf.project_name)
cnf.output_dir = safe_mkdir(adjust_path(cnf.output_dir))
cnf.work_dir = safe_mkdir(join(cnf.output_dir, 'work'))
cnf.log_dir = safe_mkdir(join(cnf.work_dir), 'log')
cnf.min_percent = 1 - float(cnf.min_percent)
cnf.min_ratio = float(cnf.min_ratio)
if cnf.min_depth:
cnf.min_depth = int(cnf.min_depth)
if cnf.metadata:
cov_thresholds = {
'deepseq': 250,
'plasma': 100,
'exome': 20,
'ffpe': 10,
'cell_line': 10,
'wgs': 10
}
cnf.min_depths = [
cov_thresholds[type] for type in cnf.metadata.split(',')
]
if len(bcbio_project_dirpaths) < 1:
critical('Usage: ' + __file__ +
' project_bcbio_path [project_bcbio_path] [-o output_dir]')
info()
info('*' * 70)
safe_mkdir(cnf.output_dir)
if cnf.log_dir:
info('log_dirpath: ' + cnf.log_dir)
safe_mkdir(cnf.log_dir)
set_up_log(cnf, 'evaluate_capture_target', cnf.project_name,
cnf.output_dir)
bcbio_structures = []
for bcbio_project_dirpath, bcbio_cnf, final_dirpath in zip(
bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths):
bs = BCBioStructure(cnf, bcbio_project_dirpath, bcbio_cnf,
final_dirpath)
bcbio_structures.append(bs)
cnf.work_dir = cnf.work_dir or adjust_path(join(cnf.output_dir, 'work'))
safe_mkdir(cnf.work_dir)
info('')
info('*' * 70)
regions_fpath = evaluate_capture(cnf, bcbio_structures)
if cnf.add_to_exac:
if not is_us():
err('Exposing to ExAC browser is available only on US server')
return
output_dirpath = join(get_exac_dir(cnf), 'coverage', cnf.project_name)
safe_mkdir(output_dirpath)
if regions_fpath and regions_fpath != join(output_dirpath,
basename(regions_fpath)):
shutil.copy(regions_fpath,
join(output_dirpath, basename(regions_fpath)))
shutil.copy(regions_fpath + '.tbi',
join(output_dirpath, basename(regions_fpath + '.tbi')))
samples = []
sample_names = [s.name for bs in bcbio_structures for s in bs.samples]
for bs in bcbio_structures:
for sample in bs.samples:
sample.name = get_uniq_sample_key(bs.project_name, sample,
sample_names)
samples.append(sample)
calculate_coverage_use_grid(cnf, samples, output_dirpath)
add_project_to_exac(cnf)
else:
info('Use --exac if you want to export data to ExAC browser')
info('Done.')
def main():
description = 'This script runs reporting suite on the bcbio final directory.'
parser = OptionParser(description=description)
add_cnf_t_reuse_prjname_donemarker_workdir_genome_debug(parser)
parser.add_option('--load-mongo',
'--mongo-loader',
dest='load_mongo',
action='store_true',
default=defaults['load_mongo'],
help='Load to Mongo DB')
parser.add_option(
'--datahub-path',
dest='datahub_path',
help=
'DataHub directory path to upload final MAFs and CNV (can be remote).')
parser.add_option(
'--email',
dest='email',
help='E-mail address to send notifications on errors and finished jobs.'
)
parser.add_option('--reannotate',
dest='reannotate',
action='store_true',
default=False,
help='Re-annotate BED file with gene names')
parser.add_option('--extended',
dest='extended',
action='store_true',
default=False,
help='Count flagged regions and missed variants')
parser.add_option('--dedup',
dest='dedup',
action='store_true',
default=False,
help='Count duplicates in coverage metrics')
parser.add_option('--seq2c-opts',
dest='seq2c_opts',
help='Options for the final lr2gene.pl script.')
parser.add_option('--seq2c-controls',
dest='seq2c_controls',
help='Additional controls for Seq2C.')
parser.add_option('--deep-seq',
dest='deep_seq',
action='store_true',
default=False,
help='Use run_info_DeepSeq.yaml')
parser.add_option('--wgs',
dest='is_wgs',
action='store_true',
default=None,
help='Ignore sv_regions and run as WGS')
parser.add_option('--only-summary',
dest='only_summary',
action='store_true',
default=False,
help='Only generate project-level report')
parser.add_option('--jira', dest='jira', help='JIRA case path')
parser.add_option('--bed',
'--capture',
'--amplicons',
dest='bed',
help='BED file to run targetSeq and Seq2C analysis on.')
parser.add_option(
'--exons',
'--exome',
dest='exons',
help='Exons BED file to make targetSeq exon/amplicon regions reports.')
parser.add_option('--no-prep-bed',
dest='prep_bed',
help='do not fix input beds and exons',
action='store_false',
default=True)
parser.add_option('--no-dedup',
dest='no_dedup',
action='store_true',
help=SUPPRESS_HELP)
parser.add_option('-f',
'--freq',
'--min-freq',
dest='min_freq',
type='float',
help='Minimum allele frequency for the filtering.')
parser.add_option('-o',
dest='output_dir',
help='Output directory for report combining.')
parser.add_option('--transcripts',
dest='transcripts_fpath',
help='Transcripts for annotation.')
parser.add_option('--no-bam2bigwig',
dest='no_bam2bigwig',
action='store_true',
default=False,
help=SUPPRESS_HELP)
cnf, bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths, tags, is_wgs_in_bcbio, is_rnaseq \
= process_post_bcbio_args(parser)
is_wgs = cnf.is_wgs = cnf.is_wgs or is_wgs_in_bcbio
cnf.run_date = time.localtime()
cnf_project_name = cnf.project_name
if len(bcbio_project_dirpaths) > 1:
cnf.project_name = None
info()
info('*' * 70)
bcbio_structures = []
for bcbio_project_dirpath, bcbio_cnf, final_dirpath in zip(
bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths):
bs = BCBioStructure(cnf,
bcbio_project_dirpath,
bcbio_cnf,
final_dirpath,
is_wgs=is_wgs,
is_rnaseq=is_rnaseq)
bcbio_structures.append(bs)
# Post-processing one bcbio project as usually
if len(bcbio_structures) == 1:
if cnf.min_freq is not None:
info('Min freq for filtering is %f' % cnf.min_freq)
if cnf.steps and cnf.load_mongo and 'MongoLoader' not in cnf.steps:
cnf.steps.append('MongoLoader')
check_system_resources(cnf, required=['qsub'])
bcbio_structure = bcbio_structures[0]
bcbio_runner = BCBioRunner(cnf, bcbio_structure, cnf.bcbio_cnf)
bcbio_runner.post_jobs()
# Special case: multiple projects in input. No post-processing them, but rather combining summary reports together.
elif len(bcbio_structures) > 1:
if cnf_project_name:
cnf.project_name = cnf_project_name
else:
cnf.project_name = '_'.join(
[bs.project_name for bs in bcbio_structures])
if not cnf.output_dir:
cnf.output_dir = join(os.getcwd(), cnf.project_name)
safe_mkdir(cnf.output_dir)
cnf.log_dir = join(cnf.output_dir, 'log')
info('log_dirpath: ' + cnf.log_dir)
safe_mkdir(cnf.log_dir)
set_up_log(cnf, 'miltiple_projects', cnf.project_name, cnf.output_dir)
cnf.work_dir = adjust_path(join(cnf.output_dir, 'work'))
safe_mkdir(cnf.work_dir)
safe_mkdir(adjust_path(join(cnf.output_dir, 'config')))
combine_projects(cnf, bcbio_structures, tags)
def combine_projects(cnf, bcbio_structures, tags=None):
tag_by_sample = dict()
if tags:
for bs, tag in zip(bcbio_structures, tags):
for s in bs.samples:
tag_by_sample[s.name] = tag or bs.project_name
# else:
# for bs in bcbio_structures:
# for s in bs.sampels:
# tag_by_sample[s.name] = bs.project_name
final_dirpath = adjust_path(join(cnf.output_dir, 'final'))
safe_mkdir(final_dirpath)
merged_bcbio_cnf = merge_bcbio_yamls(cnf, bcbio_structures)
samples = [s for bs in bcbio_structures for s in bs.samples]
dirs_to_reprocess = [
source.clinreport_dir, BCBioStructure.var_dir, source.varannotate_name,
source.varfilter_name
]
for s in samples:
sample_dir = join(final_dirpath, s.name)
sample_var_dirpath = join(sample_dir, BCBioStructure.var_dir)
safe_mkdir(sample_var_dirpath)
for file_or_dir in os.listdir(s.dirpath):
if file_or_dir not in dirs_to_reprocess:
safe_symlink_to(join(s.dirpath, file_or_dir), sample_dir)
for file in os.listdir(s.var_dirpath):
safe_symlink_to(join(s.var_dirpath, file), sample_var_dirpath)
merged_date_dir = join(
final_dirpath,
merged_bcbio_cnf['fc_date'] + '_' + merged_bcbio_cnf['fc_name'])
merged_bs_var_dirpath = join(merged_date_dir, BCBioStructure.var_dir)
merged_bs_raw_var_dirpath = join(merged_bs_var_dirpath, 'raw')
safe_mkdir(merged_bs_raw_var_dirpath)
for bs in bcbio_structures:
for file in os.listdir(bs.raw_var_dirpath):
safe_symlink_to(join(bs.raw_var_dirpath, file),
merged_bs_raw_var_dirpath)
variants_fpaths = []
vardict_txt_fname = variant_filtering.mut_fname_template.format(
caller_name='vardict')
variants_fpath = join(merged_bs_var_dirpath, vardict_txt_fname)
pass_variants_fpath = add_suffix(variants_fpath,
variant_filtering.mut_pass_suffix)
reject_variants_fpath = add_suffix(variants_fpath,
variant_filtering.mut_reject_suffix)
cnf.steps = ['Variants']
for bs_i, bs in enumerate(
bcbio_structures
): # re-filtering, perform cohort-based filtering only within sub-projects
correct_bs = BCBioStructure(cnf, cnf.output_dir, bs.bcbio_cnf,
final_dirpath)
bcbio_runner = BCBioRunner(cnf, correct_bs, bs.bcbio_cnf)
bcbio_runner.post_jobs()
bs_raw_variants_fpath = add_suffix(variants_fpath, str(bs_i))
pass_bs_variants_fpath = add_suffix(bs_raw_variants_fpath,
variant_filtering.mut_pass_suffix)
reject_bs_variants_fpath = add_suffix(
bs_raw_variants_fpath, variant_filtering.mut_reject_suffix)
shutil.move(variants_fpath, bs_raw_variants_fpath)
shutil.move(pass_variants_fpath, pass_bs_variants_fpath)
shutil.move(reject_variants_fpath, reject_bs_variants_fpath)
variants_fpaths.append(bs_raw_variants_fpath)
merged_bs = BCBioStructure(cnf, cnf.output_dir, merged_bcbio_cnf,
final_dirpath)
merged_samples = [s for s in merged_bs.samples]
cnf.variant_filtering.max_ratio = 1
combine_results(cnf,
merged_samples,
variants_fpaths,
variants_fpath,
pass_variants_fpath=pass_variants_fpath)
for variants_fpath in variants_fpaths:
safe_remove(variants_fpath)
pass_fpath = add_suffix(variants_fpath,
variant_filtering.mut_pass_suffix)
safe_remove(pass_fpath)
reject_fpath = add_suffix(variants_fpath,
variant_filtering.mut_reject_suffix)
safe_remove(reject_fpath)
cnf.reuse_intermediate = True
cnf.steps = ['Seq2C', 'Summary']
BCBioRunner(cnf, merged_bs, merged_bs.bcbio_cnf).post_jobs()
def main():
info(' '.join(sys.argv))
info()
description = 'This script makes paired WGS-target clincial reports based on 2 bcbio projects.'
parser = OptionParser(description=description)
add_cnf_t_reuse_prjname_donemarker_workdir_genome_debug(parser, threads=1)
parser.add_option(
'--email',
dest='email',
help='E-mail address to send notifications on errors and finished jobs.'
)
parser.add_option('--jira', dest='jira', help='JIRA case path')
parser.add_option('--bed',
'--capture',
'--amplicons',
dest='bed',
help='BED file to run targetSeq and Seq2C analysis on.')
parser.add_option(
'--exons',
'--exome',
dest='exons',
help='Exons BED file to make targetSeq exon/amplicon regions reports.')
parser.add_option('-o',
dest='output_dir',
help='Output directory for report combining.')
cnf, bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths, tags, is_wgs_in_bcbio, is_rnaseq \
= process_post_bcbio_args(parser)
is_wgs = cnf.is_wgs = cnf.is_wgs or is_wgs_in_bcbio
if len(bcbio_project_dirpaths) < 2 or len(bcbio_project_dirpaths) > 2:
critical('Usage: ' + __file__ + ' wgs_project_project_bcbio_path '
'targetseq_project_bcbio_path [-o output_dir]')
info()
info('*' * 70)
bcbio_structures = []
for bcbio_project_dirpath, bcbio_cnf, final_dirpath in zip(
bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths):
bs = BCBioStructure(cnf,
bcbio_project_dirpath,
bcbio_cnf,
final_dirpath,
is_wgs=is_wgs,
is_rnaseq=is_rnaseq)
bcbio_structures.append(bs)
trg_bs = next((bs for bs in bcbio_structures if bs.bed), None)
wgs_bs = next((bs for bs in bcbio_structures if not bs.bed), None)
if not trg_bs and not wgs_bs:
critical('One of the projects must be targeted, and one must be WGS')
if not trg_bs:
critical('One of the projects must be targeted.')
if not wgs_bs:
critical('One of the projects must be WGS.')
if not cnf.project_name:
cnf.project_name = wgs_bs.project_name.replace('_WGS',
'').replace('WGS', '')
if cnf.output_dir is None:
cnf.output_dir = join(os.getcwd(), cnf.project_name)
safe_mkdir(cnf.output_dir)
cnf.log_dir = join(cnf.output_dir, 'log')
info('log_dirpath: ' + cnf.log_dir)
safe_mkdir(cnf.log_dir)
set_up_log(cnf, 'clinical_target2wgs', cnf.project_name, cnf.output_dir)
cnf.work_dir = cnf.work_dir or adjust_path(join(cnf.output_dir, 'work'))
safe_mkdir(cnf.work_dir)
shared_sample_names = set(s.name for s in wgs_bs.samples) & set(
s.name for s in trg_bs.samples)
if not shared_sample_names:
critical('Not shared samples in target and WGS projects.\n'
'Target: ' + ', '.join(s.name for s in trg_bs.samples) +
'WGS: ' + ', '.join(s.name for s in wgs_bs.samples))
info('Shared samples: ' + ', '.join(shared_sample_names))
info('')
info('*' * 70)
run_clinical_target2wgs(cnf.genome, wgs_bs, trg_bs, shared_sample_names,
cnf.output_dir)
def main():
info(' '.join(sys.argv))
info()
description = 'This script makes clinical reports based on multiple bcbio projects.'
parser = OptionParser(description=description)
add_cnf_t_reuse_prjname_donemarker_workdir_genome_debug(parser)
parser.add_option('--log-dir', dest='log_dir')
parser.add_option(
'--email',
dest='email',
help='E-mail address to send notifications on errors and finished jobs.'
)
parser.add_option('--metadata',
dest='metadata_csv',
help='CSV file with parameters of each sample.')
parser.add_option('-o',
dest='output_dir',
help='Output directory for report combining.')
cnf, bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths, tags, is_wgs_in_bcbio, is_rnaseq \
= process_post_bcbio_args(parser)
is_wgs = cnf.is_wgs = cnf.is_wgs or is_wgs_in_bcbio
if not cnf.metadata_csv:
critical(
'Provide the path to CSV file with information of each sample')
critical(
'Usage: ' + __file__ +
' project_bcbio_path [project_bcbio_path] --metadata metadata_path [-o output_dir]'
)
cnf.sample_names = []
parameters_info, samples_data = parse_samples_metadata(
cnf, cnf.metadata_csv)
info()
info('*' * 70)
bcbio_structures = []
for bcbio_project_dirpath, bcbio_cnf, final_dirpath in zip(
bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths):
bs = BCBioStructure(cnf,
bcbio_project_dirpath,
bcbio_cnf,
final_dirpath,
is_wgs=is_wgs,
is_rnaseq=is_rnaseq)
bcbio_structures.append(bs)
for s in bs.samples:
assert s.targetcov_json_fpath, str(s.dirpath) + ' ' + str(
s.targqc_dirpath)
if cnf.output_dir is None and cnf.project_name is None:
critical(
'Either -o (output dir) or --project (project name) has to be specified'
)
if not cnf.output_dir:
cnf.output_dir = join(os.getcwd(), cnf.project_name)
if not cnf.project_name:
cnf.project_name = 'Combined_project'
cnf.output_dir = safe_mkdir(adjust_path(cnf.output_dir))
cnf.log_dir = join(cnf.output_dir, 'log')
info('log_dirpath: ' + cnf.log_dir)
safe_mkdir(cnf.log_dir)
set_up_log(cnf, 'combine_clin_reports', cnf.project_name, cnf.output_dir)
cnf.work_dir = cnf.work_dir or adjust_path(join(cnf.output_dir, 'work'))
safe_mkdir(cnf.work_dir)
# shared_sample_names = set(s.name for bs in bcbio_structures for s in bs.samples)
# if not shared_sample_names:
# sample_names = [bs.project_name + ': ' + ', '.join(s.name for s in bs.samples) for bs in bcbio_structures]
# critical('Not shared samples in projects.\n' + '\n'.join(sample_names))
# info('Shared samples: ' + ', '.join(shared_sample_names))
info('')
info('*' * 70)
run_combine_clinical_reports(cnf, bcbio_structures, parameters_info,
samples_data)
def main():
info(' '.join(sys.argv))
info()
description = 'This script prepare data for ExAC browser'
parser = OptionParser(description=description)
add_cnf_t_reuse_prjname_donemarker_workdir_genome_debug(parser)
parser.add_option('--log-dir', dest='log_dir', default='-')
parser.add_option('--bed', dest='bed', help='BED file.')
parser.add_option('--evaluate-capture-target',
dest='do_evaluate_capture',
action='store_true',
help='Evaluate capture target.')
parser.add_option('-o',
dest='output_dir',
help='Output directory with ExAC data.')
cnf, bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths, tags, is_wgs_in_bcbio, is_rnaseq \
= process_post_bcbio_args(parser)
if not cnf.genome:
critical(
'Usage: ' + __file__ +
' -g hg19 project_bcbio_path [project_bcbio_path] [--bed bed_fpath] [-o output_dir] [--evaluate-capture-target]'
)
cnf.output_dir = get_exac_dir(cnf)
# if not cnf.output_dir:
# critical('Error! Please specify ExAC browser data directory')
if len(bcbio_project_dirpaths) < 1:
critical(
'Usage: ' + __file__ +
' -g hg19 project_bcbio_path [project_bcbio_path] [--bed bed_fpath] [-o output_dir] [--evaluate-capture-target]'
)
info()
info('*' * 70)
bcbio_structures = []
project_name = cnf.project_name
cnf.project_name = None
for bcbio_project_dirpath, bcbio_cnf, final_dirpath in zip(
bcbio_project_dirpaths, bcbio_cnfs, final_dirpaths):
bs = BCBioStructure(cnf, bcbio_project_dirpath, bcbio_cnf,
final_dirpath)
bcbio_structures.append(bs)
cnf.project_name = project_name
if not cnf.project_name:
if len(bcbio_structures) == 1:
cnf.project_name = bcbio_structures[0].project_name
else:
critical(
'If you combine multiple BCBIO projects you should specify new project name'
)
cnf.caller_name = 'vardict'
if cnf.output_dir is None:
critical('Please specify path to ExAC data directory.')
safe_mkdir(cnf.output_dir)
cnf.log_dir = join(cnf.output_dir, cnf.project_name + '_log')
info('log_dirpath: ' + cnf.log_dir)
safe_mkdir(cnf.log_dir)
set_up_log(cnf, 'prepare_for_exac', cnf.project_name, cnf.output_dir)
cnf.work_dir = cnf.work_dir or adjust_path(
join(cnf.output_dir, 'work', cnf.project_name))
safe_mkdir(cnf.work_dir)
samples = []
for bs in bcbio_structures:
for sample in bs.samples:
sample.name = get_uniq_sample_key(bs.project_name, sample)
samples.append(sample)
info()
info('Preparing variants data')
variants_dirpath = join(cnf.output_dir, 'vardict')
safe_mkdir(variants_dirpath)
combined_vcf_raw_fpath = join(variants_dirpath, cnf.project_name + '.vcf')
combined_vcf_fpath = combined_vcf_raw_fpath + '.gz'
if not cnf.reuse_intermediate or not verify_file(combined_vcf_fpath):
vcf_fpath_by_sname = dict()
for bs in bcbio_structures:
pass_mut_fpaths = get_mutations_fpaths(bs)
vcf_fpaths, pass_vcf_fpaths = convert_vardict_txts_to_bcbio_vcfs(
cnf.work_dir,
cnf.genome.name,
pass_mut_fpaths,
bs.samples,
cnf.caller_name,
output_dirpath=cnf.work_dir,
pass_only=False,
bed_fpath=bs.sv_bed,
min_freq=bs.cnf.variant_filtering['min_freq'],
act_min_freq=bs.cnf.variant_filtering['act_min_freq'])
if not vcf_fpaths and not pass_vcf_fpaths:
continue
for sample, vcf_fpath, pass_vcf_fpath in zip(
bs.samples, vcf_fpaths, pass_vcf_fpaths):
if vcf_fpath and verify_file(vcf_fpath):
vcf_fpath_by_sname[sample.name] = vcf_fpath
elif pass_vcf_fpath and verify_file(pass_vcf_fpath):
vcf_fpath_by_sname[sample.name] = pass_vcf_fpath
if not vcf_fpath_by_sname:
info('No VCFs found, skipping preparing variants')
else:
info()
combined_vcf_fpath = merge_vcfs(cnf, vcf_fpath_by_sname,
combined_vcf_raw_fpath)
project_vcf_dirpath = join(variants_dirpath, cnf.project_name)
safe_mkdir(project_vcf_dirpath)
for sample_name, vcf_fpath in vcf_fpath_by_sname.items():
if verify_file(vcf_fpath) and not verify_file(join(
project_vcf_dirpath, basename(vcf_fpath)),
silent=True):
shutil.move(vcf_fpath, project_vcf_dirpath)
shutil.move(vcf_fpath + '.tbi', project_vcf_dirpath)
info()
info('Saving coverage')
project_cov_dirpath = join(cnf.output_dir, 'coverage', cnf.project_name)
safe_mkdir(project_cov_dirpath)
calculate_coverage_use_grid(cnf, samples, project_cov_dirpath)
if cnf.do_evaluate_capture:
evaluate_capture(cnf, bcbio_project_dirpaths)
if combined_vcf_fpath:
info()
info('Creating BAM files for IGV')
exac_features_fpath = os.path.join(exac_data_dir, cnf.genome.name,
'all_features.bed.gz')
split_bam_files_use_grid(cnf, samples, combined_vcf_fpath,
exac_features_fpath)
else:
warn(
'Combined VCF file does not exist. BAM files for IGV cannot be created'
)
info()
add_project_to_exac(cnf)
info('Done.')