def _run_purecn(paired, work_dir):
"""Run PureCN.R wrapper with pre-segmented CNVkit inputs.
"""
out_base, out, all_files = _get_purecn_files(paired, work_dir)
cnr_file = tz.get_in(["depth", "bins", "normalized"], paired.tumor_data)
if not utils.file_uptodate(out["rds"], cnr_file):
cnvkit_base = os.path.join(
utils.safe_makedir(os.path.join(work_dir, "cnvkit")),
dd.get_sample_name(paired.tumor_data))
seg_file = cnvkit.segment_from_cnr(cnr_file, paired.tumor_data,
cnvkit_base)
from bcbio import heterogeneity
vcf_file = heterogeneity.get_variants(paired.tumor_data)[0]["vrn_file"]
with file_transaction(paired.tumor_data, out_base) as tx_out_base:
cmd = [
"PureCN.R", "--seed", "42", "--out", tx_out_base, "--rds",
"%s.rds" % tx_out_base, "--sampleid",
dd.get_sample_name(paired.tumor_data), "--genome",
dd.get_genome_build(paired.tumor_data), "--vcf", vcf_file,
"--tumor", cnr_file, "--segfile", seg_file,
"--funsegmentation", "none"
]
do.run(cmd, "PureCN copy number calling")
for f in all_files:
shutil.move(os.path.join(os.path.dirname(tx_out_base), f),
os.path.join(os.path.dirname(out_base), f))
return out
def _segment_normalized_cnvkit(cnr_file, work_dir, paired):
"""Segmentation of normalized inputs using CNVkit.
"""
cnvkit_base = os.path.join(utils.safe_makedir(os.path.join(work_dir, "cnvkit")),
dd.get_sample_name(paired.tumor_data))
cnr_file = chromhacks.bed_to_standardonly(cnr_file, paired.tumor_data, headers="chromosome",
include_sex_chroms=True,
out_dir=os.path.dirname(cnvkit_base))
cnr_file = _remove_overlaps(cnr_file, os.path.dirname(cnvkit_base), paired.tumor_data)
seg_file = cnvkit.segment_from_cnr(cnr_file, paired.tumor_data, cnvkit_base)
return cnr_file, seg_file
def _segment_normalized_cnvkit(cnr_file, work_dir, paired):
"""Segmentation of normalized inputs using CNVkit.
"""
cnvkit_base = os.path.join(utils.safe_makedir(os.path.join(work_dir, "cnvkit")),
dd.get_sample_name(paired.tumor_data))
cnr_file = chromhacks.bed_to_standardonly(cnr_file, paired.tumor_data, headers="chromosome",
include_sex_chroms=True,
out_dir=os.path.dirname(cnvkit_base))
cnr_file = _remove_overlaps(cnr_file, os.path.dirname(cnvkit_base), paired.tumor_data)
seg_file = cnvkit.segment_from_cnr(cnr_file, paired.tumor_data, cnvkit_base)
return cnr_file, seg_file
def _run_purecn(paired, work_dir):
"""Run PureCN.R wrapper with pre-segmented CNVkit inputs.
"""
out_base, out, all_files = _get_purecn_files(paired, work_dir)
cnr_file = tz.get_in(["depth", "bins", "normalized"], paired.tumor_data)
if not utils.file_uptodate(out["rds"], cnr_file):
cnvkit_base = os.path.join(
utils.safe_makedir(os.path.join(work_dir, "cnvkit")),
dd.get_sample_name(paired.tumor_data))
cnr_file = chromhacks.bed_to_standardonly(
cnr_file,
paired.tumor_data,
headers="chromosome",
include_sex_chroms=True,
out_dir=os.path.dirname(cnvkit_base))
cnr_file = _remove_overlaps(cnr_file, os.path.dirname(cnvkit_base),
paired.tumor_data)
seg_file = cnvkit.segment_from_cnr(cnr_file, paired.tumor_data,
cnvkit_base)
from bcbio import heterogeneity
vcf_file = heterogeneity.get_variants(
paired.tumor_data, include_germline=False)[0]["vrn_file"]
vcf_file = germline.filter_to_pass_and_reject(vcf_file,
paired,
out_dir=work_dir)
with file_transaction(paired.tumor_data, out_base) as tx_out_base:
# Use UCSC style naming for human builds to support BSgenome
genome = ("hg19" if dd.get_genome_build(paired.tumor_data) in [
"GRCh37", "hg19"
] else dd.get_genome_build(paired.tumor_data))
cmd = [
"PureCN.R", "--seed", "42", "--out", tx_out_base, "--rds",
"%s.rds" % tx_out_base, "--sampleid",
dd.get_sample_name(paired.tumor_data), "--genome", genome,
"--vcf", vcf_file, "--tumor", cnr_file, "--segfile", seg_file,
"--funsegmentation", "Hclust", "--maxnonclonal", "0.3"
]
if dd.get_num_cores(paired.tumor_data) > 1:
cmd += ["--cores", str(dd.get_num_cores(paired.tumor_data))]
do.run(cmd, "PureCN copy number calling")
for f in all_files:
shutil.move(os.path.join(os.path.dirname(tx_out_base), f),
os.path.join(os.path.dirname(out_base), f))
return out