def align(fastq_file, pair_file, ref_file, names, align_dir, data):
assert data["analysis"].lower().startswith("wgbs-seq"), "No comparible alignment"
config = data["config"]
sample = dd.get_sample_name(data)
out_prefix = os.path.join(align_dir, dd.get_lane(data))
ref_file = dd.get_sam_ref(data)
final_out = os.path.join(align_dir, "{0}.bam".format(sample))
if file_exists(final_out):
data = dd.set_work_bam(data, final_out)
return data
bsmap = config_utils.get_program("bsmap", config)
fastq_files = " -a %s" % fastq_file
num_cores = dd.get_num_cores(data)
num_cores = "-p %d" % num_cores
safe_makedir(align_dir)
cmd = "{bsmap} {num_cores} -w 100 -v 0.07 -m 10 -x 300 -o {tx_out_bam} -d {ref_file} {fastq_files}"
if pair_file:
fastq_files = "-a %s -b %s" % (fastq_file, pair_file)
if not final_out:
with file_transaction(final_out) as tx_out_bam:
run_message = "Running BSMAP aligner on %s and %s" % (fastq_file, ref_file)
do.run(cmd.format(**locals()), run_message, None)
data = dd.set_work_bam(data, final_out)
return data
def cufflinks_assemble(data):
bam_file = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
out_dir = os.path.join(dd.get_work_dir(data), "assembly")
num_cores = dd.get_num_cores(data)
assembled_gtf = cufflinks.assemble(bam_file, ref_file, num_cores, out_dir, data)
data = dd.set_assembled_gtf(data, assembled_gtf)
return [[data]]
def cufflinks_assemble(data):
bam_file = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
out_dir = os.path.join(dd.get_work_dir(data), "assembly")
num_cores = dd.get_num_cores(data)
assembled_gtf = cufflinks.assemble(bam_file, ref_file, num_cores, out_dir, data)
dd.get_assembled_gtf(data).append(assembled_gtf)
return [[data]]
def run_cufflinks(data):
"""Quantitate transcript expression with Cufflinks"""
work_bam = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
out_dir, fpkm_file, fpkm_isoform_file = cufflinks.run(work_bam, ref_file, data)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, fpkm_file)
data = dd.set_fpkm_isoform(data, fpkm_isoform_file)
return [[data]]
def run_cufflinks(data):
"""Quantitate transcript expression with Cufflinks"""
work_bam = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
out_dir, fpkm_file, fpkm_isoform_file = cufflinks.run(work_bam, ref_file, data)
data = dd.set_cufflinks_dir(data, out_dir)
data = dd.set_fpkm(data, fpkm_file)
data = dd.set_fpkm_isoform(data, fpkm_isoform_file)
return [[data]]
def align(fastq_file, pair_file, ref_file, names, align_dir, data):
assert data["analysis"].lower().startswith(
"wgbs-seq"), "No comparible alignment."
config = data["config"]
sample = dd.get_sample_name(data)
out_prefix = os.path.join(align_dir, dd.get_lane(data))
out_dir = os.path.join(align_dir, "%s_bismark" % dd.get_lane(data))
if not ref_file:
logger.error(
"bismark index not found. We don't provide the STAR indexes "
"by default because they are very large. You can install "
"the index for your genome with: bcbio_nextgen.py upgrade "
"--aligners bismark --genomes genome-build-name --data")
sys.exit(1)
final_out = os.path.join(align_dir, "{0}.bam".format(sample))
if file_exists(final_out):
data = dd.set_work_bam(data, final_out)
data["bam_report"] = glob.glob(os.path.join(out_dir, "*report.txt"))[0]
return data
bismark = config_utils.get_program("bismark", config)
# bismark uses 5 threads/sample and ~12GB RAM/sample (hg38)
resources = config_utils.get_resources("bismark", data["config"])
max_cores = resources.get("cores", 1)
max_mem = config_utils.convert_to_bytes(resources.get("memory", "1G"))
n = min(max(int(max_cores / 5), 1),
max(int(max_mem / config_utils.convert_to_bytes("12G")), 1))
kit = kits.KITS.get(dd.get_kit(data), None)
directional = "--non_directional" if kit and not kit.is_directional else ""
other_opts = resources.get("options", [])
other_opts = " ".join([str(x) for x in other_opts]).strip()
fastq_files = " ".join([fastq_file, pair_file
]) if pair_file else fastq_file
safe_makedir(align_dir)
cmd = "{bismark} {other_opts} {directional} --bowtie2 --temp_dir {tx_out_dir} --gzip --multicore {n} -o {tx_out_dir} --unmapped {ref_file} {fastq_file}"
if pair_file:
fastq_file = "-1 %s -2 %s" % (fastq_file, pair_file)
raw_bam = glob.glob(out_dir + "/*bismark*bt2*bam")
if not raw_bam:
with tx_tmpdir() as tx_out_dir:
run_message = "Running Bismark aligner on %s and %s" % (fastq_file,
ref_file)
do.run(cmd.format(**locals()), run_message, None)
shutil.move(tx_out_dir, out_dir)
raw_bam = glob.glob(out_dir + "/*bismark*bt2*bam")
process_bam = _process_bam(raw_bam[0], fastq_files, sample,
dd.get_sam_ref(data), config)
utils.symlink_plus(process_bam, final_out)
data = dd.set_work_bam(data, final_out)
data["bam_report"] = glob.glob(os.path.join(out_dir, "*report.txt"))[0]
return data
def stringtie_merge(*samples):
to_merge = filter_missing(flatten([dd.get_assembled_gtf(data) for data in
dd.sample_data_iterator(samples)]))
data = samples[0][0]
ref_file = dd.get_sam_ref(data)
gtf_file = dd.get_gtf_file(data)
num_cores = dd.get_num_cores(data)
merged_gtf = stringtie.merge(to_merge, ref_file, gtf_file, num_cores, data)
updated_samples = []
for data in dd.sample_data_iterator(samples):
data = dd.set_merged_gtf(data, merged_gtf)
updated_samples.append([data])
return updated_samples
def stringtie_merge(*samples):
to_merge = filter_missing(flatten([dd.get_assembled_gtf(data) for data in
dd.sample_data_iterator(samples)]))
data = samples[0][0]
ref_file = dd.get_sam_ref(data)
gtf_file = dd.get_gtf_file(data)
num_cores = dd.get_num_cores(data)
merged_gtf = stringtie.merge(to_merge, ref_file, gtf_file, num_cores, data)
updated_samples = []
for data in dd.sample_data_iterator(samples):
data = dd.set_merged_gtf(data, merged_gtf)
updated_samples.append([data])
return updated_samples
def cufflinks_merge(*samples):
to_merge = filter_missing([dd.get_assembled_gtf(data) for data in
dd.sample_data_iterator(samples)])
data = samples[0][0]
bam_file = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
gtf_file = dd.get_gtf_file(data)
out_dir = os.path.join(dd.get_work_dir(data), "assembly")
num_cores = dd.get_num_cores(data)
merged_gtf = cufflinks.merge(to_merge, ref_file, gtf_file, num_cores, samples[0][0])
for data in dd.sample_data_iterator(samples):
dd.set_assembled_gtf(data, merged_gtf)
return samples
def cufflinks_merge(*samples):
to_merge = filter_missing([dd.get_assembled_gtf(data) for data in
dd.sample_data_iterator(samples)])
data = samples[0][0]
bam_file = dd.get_work_bam(data)
ref_file = dd.get_sam_ref(data)
gtf_file = dd.get_gtf_file(data)
out_dir = os.path.join(dd.get_work_dir(data), "assembly")
num_cores = dd.get_num_cores(data)
merged_gtf = cufflinks.merge(to_merge, ref_file, gtf_file, num_cores, samples[0][0])
updated_samples = []
for data in dd.sample_data_iterator(samples):
data = dd.set_assembled_gtf(data, merged_gtf)
updated_samples.append([data])
return updated_samples
def _bsmap_calling(data):
sample = dd.get_sample_name(data)
workdir = safe_makedir(os.path.join(dd.get_work_dir(data), "cpg_split", sample))
config = data["config"]
ref = dd.get_sam_ref(data)
work_bam = dd.get_work_bam(data)
python = os.path.join(os.path.dirname(sys.executable), "python")
methratio = config_utils.get_program("methratio.py", config)
cmd = ("{python} {methratio} -g -n -u -p -r -m 5 --chr={chrom} --ref={ref} {work_bam} >> {out_tx}")
chrom = data["chr_to_run"]
out_file = os.path.join(workdir, "methyratios_%s.txt" % chrom)
if not file_exists(out_file):
with file_transaction(out_file) as out_tx:
do.run(cmd.format(**locals()), "Extract methylation for: %s" % sample)
data["cpg_file"] = out_file
return data
def align(fastq_file, pair_file, ref_file, names, align_dir, data):
assert data["analysis"].lower().startswith(
"wgbs-seq"), "No comparible alignment."
config = data["config"]
sample = dd.get_sample_name(data)
out_prefix = os.path.join(align_dir, dd.get_lane(data))
out_dir = os.path.join(align_dir, "%s_bismark" % dd.get_lane(data))
if not ref_file:
logger.error(
"bismark index not found. We don't provide the STAR indexes "
"by default because they are very large. You can install "
"the index for your genome with: bcbio_nextgen.py upgrade "
"--aligners bismark --genomes genome-build-name --data")
sys.exit(1)
final_out = os.path.join(align_dir, "{0}.bam".format(sample))
if file_exists(final_out):
data = dd.set_work_bam(data, final_out)
data["bam_report"] = glob.glob(os.path.join(out_dir, "*report.txt"))[0]
return data
bismark = config_utils.get_program("bismark", config)
fastq_files = " ".join([fastq_file, pair_file
]) if pair_file else fastq_file
num_cores = dd.get_num_cores(data)
n = 1 if num_cores < 5 else 2
safe_makedir(align_dir)
cmd = "{bismark} --bowtie2 --temp_dir {tx_out_dir} --gzip --multicore {n} -o {tx_out_dir} --unmapped {ref_file} {fastq_file}"
if pair_file:
fastq_file = "-1 %s -2 %s" % (fastq_file, pair_file)
raw_bam = glob.glob(out_dir + "/*bismark*bt2*bam")
if not raw_bam:
with tx_tmpdir() as tx_out_dir:
run_message = "Running Bismark aligner on %s and %s" % (fastq_file,
ref_file)
do.run(cmd.format(**locals()), run_message, None)
shutil.move(tx_out_dir, out_dir)
raw_bam = glob.glob(out_dir + "/*bismark*bt2*bam")
process_bam = _process_bam(raw_bam[0], fastq_files, sample,
dd.get_sam_ref(data), config)
utils.symlink_plus(process_bam, final_out)
data = dd.set_work_bam(data, final_out)
data["bam_report"] = glob.glob(os.path.join(out_dir, "*report.txt"))[0]
return data
