def batch_qc(fn, cont, obj, t):
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
inputs = parser.parse_args()
fh = open(inputs.fn, 'r')
src_cmd = '. ~/.novarc;'
jobs = []
for line in fh:
line = line.rstrip('\n')
# All files for current bnid to be stored in cwd
swift_cmd = src_cmd + 'swift list ' + cont + ' --prefix ' + obj + '/' + line
sys.stderr.write(date_time() + 'Checking for sequence files for sample ' + line + '\n' + swift_cmd + '\n')
try:
contents = subprocess.check_output(swift_cmd, shell=True)
if len(contents) < len(line):
sys.stderr.write(date_time() + 'Can\'t find sequencing files for ' + line + ' skipping!\n')
continue
except:
sys.stderr.write(date_time() + 'Can\'t find sequencing files for ' + line + ' skipping!\n')
continue
seqfile = re.findall('(\S+[sequence|f*q]*\.gz)', contents)
sf1 = seqfile[0]
end1 = os.path.basename(sf1)
sf2 = seqfile[1]
end2 = os.path.basename(sf2)
swift_cmd = src_cmd + "swift download " + cont + " --skip-identical --prefix " + obj + '/' + line
link_cmd = 'ln -s ' + sf1 + ' .;ln -s ' + sf2
fastqc_cmd = 'mkdir -p PREQC/' + line + '; fastqc -t 2 -o PREQC/' + line + ' ' + sf1 + ' ' + sf2
upload_cmd = src_cmd + 'swift upload ' + cont + ' PREQC/' + line
cleanup_cmd = 'rm -rf RAW/' + line + ' PREQC/' + line + ' ' + end1 + ' ' + end2
jobs.append(';'.join([swift_cmd, link_cmd, fastqc_cmd, upload_cmd, cleanup_cmd]))
sys.stderr.write(date_time() + 'Job list created, running jobs!\n')
job_manager(jobs, t)
return 0
def qc_bam_pipe(sample_list, config_file, ref_mnt):
(cont, obj) = parse_config(config_file)
job_list = []
log_dir = 'LOGS/'
src_cmd = '. ~/.novarc;'
create_start_dirs = 'mkdir LOGS QC'
subprocess.call(create_start_dirs, shell=True)
for sample in open(sample_list):
sample = sample.rstrip('\n')
parts = sample.split('_')
bam = sample + '.Aligned.sortedByCoord.out.bam'
dl_list = (log_dir + sample + '.cutadapt.log', log_dir + sample + '.Log.final.out', 'QC/' + sample
+ '_subset.insert_metrics.hist', 'QC/' + sample + '_1_sequence_fastqc/fastqc_data.txt', 'BAMS/'
+ bam)
dl_cmd = src_cmd
prefix = obj + '/' + parts[0] + '/'
for fn in dl_list:
dl_cmd += 'swift download ' + cont + ' ' + prefix + fn + ';'
mv_cmd = 'mv ' + prefix + dl_list[2] + ' .;mv ' + prefix + dl_list[4] + ' .;mv ' + prefix + dl_list[0] \
+ ' LOGS/;mv ' + prefix + dl_list[1] + ' LOGS;mv ' + prefix + 'QC/' + sample + '* QC/;'
qc_cmd = '~/TOOLS/Scripts/alignment/qc_bam.py -sa ' + sample + ' -j ' + config_file + ' -m ' + ref_mnt + ';'
rm_cmd = 'rm ' + bam + ';'
parse_qc_cmd = '~/TOOLS/Scripts/alignment/parse_qc.py -j ' + config_file + ' -sa ' + sample + ';'
full_cmd = dl_cmd + mv_cmd + qc_cmd + rm_cmd + parse_qc_cmd
job_list.append(full_cmd)
job_manager(job_list, 4)
def qc_bam_pipe(sample_list, config_file, ref_mnt):
(cont, obj) = parse_config(config_file)
job_list = []
log_dir = 'LOGS/'
src_cmd = '. ~/.novarc;'
create_start_dirs = 'mkdir LOGS QC'
subprocess.call(create_start_dirs, shell=True)
for sample in open(sample_list):
sample = sample.rstrip('\n')
parts = sample.split('_')
bam = sample + '.Aligned.sortedByCoord.out.bam'
dl_list = (log_dir + sample + '.cutadapt.log',
log_dir + sample + '.Log.final.out',
'QC/' + sample + '_subset.insert_metrics.hist',
'QC/' + sample + '_1_sequence_fastqc/fastqc_data.txt',
'BAMS/' + bam)
dl_cmd = src_cmd
prefix = obj + '/' + parts[0] + '/'
for fn in dl_list:
dl_cmd += 'swift download ' + cont + ' ' + prefix + fn + ';'
mv_cmd = 'mv ' + prefix + dl_list[2] + ' .;mv ' + prefix + dl_list[4] + ' .;mv ' + prefix + dl_list[0] \
+ ' LOGS/;mv ' + prefix + dl_list[1] + ' LOGS;mv ' + prefix + 'QC/' + sample + '* QC/;'
qc_cmd = '~/TOOLS/Scripts/alignment/qc_bam.py -sa ' + sample + ' -j ' + config_file + ' -m ' + ref_mnt + ';'
rm_cmd = 'rm ' + bam + ';'
parse_qc_cmd = '~/TOOLS/Scripts/alignment/parse_qc.py -j ' + config_file + ' -sa ' + sample + ';'
full_cmd = dl_cmd + mv_cmd + qc_cmd + rm_cmd + parse_qc_cmd
job_list.append(full_cmd)
job_manager(job_list, 4)
def snpeff_pipe(config_file, sample_pairs, ref_mnt, cflag):
# edit to grab from config max thread count
max_t = 8
(java, snpeff, snpsift, report, dbsnp, intervals) = parse_config(config_file)
dbsnp = ref_mnt + '/' + dbsnp
intervals = ref_mnt + '/' + intervals
fh = open(sample_pairs)
mk_log_dir = 'mkdir LOGS'
subprocess.call(mk_log_dir, shell=True)
cmd_list = []
run_snpsift = java + ' -jar ' + snpsift + ' annotate ' + dbsnp
run_snpeff = java + ' -jar ' + snpeff + ' eff -t hg19 '
for line in fh:
line = line.rstrip('\n')
(sample, tumor_id, normal_id) = line.split('\t')
# run snpsift first, then snpeff
run_report = report + ' -i ' + sample + '.out.keep.eff.vcf -c '
if cflag == 'n':
run_report += intervals
else:
run_report += 'n'
run_report += ' > ' + sample + '.vcf.keep.eff.xls'
run_snp = run_snpsift + ' ' + sample + '.out.keep > ' + sample + '.out.keep.sift.vcf 2> LOGS/' + sample \
+ '.snpeff.log;' + run_snpeff + ' ' + sample + '.out.keep.sift.vcf -v > ' + sample \
+ '.out.keep.eff.vcf 2>> LOGS/' + sample + '.snpeff.log;' + run_report
cmd_list.append(run_snp)
job_manager(cmd_list, max_t)
sys.stderr.write(date_time() + 'SNP annotation completed!\n')
return 0
def calc_pos_cov(table, samtools, out):
fh = open(table)
head = next(fh)
bnids = []
head = head.rstrip('\n').split('\t')
for i in range(1, len(head), 1):
bnid = head[i].split('_')
bnids.append(bnid[0])
# create bed file to get coverage
bed_fn = out + '.bed'
bed = open(bed_fn, 'w')
vlist = []
# in the event an indel happens in one sample and snv in another at same position, don't process twice
for line in fh:
vlist.append(create_bed(line, bed))
bed.close()
fh.close()
job_list = []
src_cmd = '. ~/.novarc;'
# get bams, then build jobs
for i in range(0, len(bnids), 1):
sys.stderr.write(date_time() + 'Getting bam for ' + bnids[i] + '\n')
bam = 'ALIGN/' + bnids[i] + '/BAM/' + bnids[i] + '.merged.final.bam'
dl_cmd = src_cmd + 'swift download PDX --prefix ALIGN/' + bnids[i] + '/BAM/' + bnids[i] + '.merged.final.ba;'
subprocess.call(dl_cmd, shell=True)
# try pdx container, if not, try pancan
if os.path.isfile(bam):
job_list.append(build_jobs(samtools, bed_fn, bnids[i]))
else:
sys.stderr.write(date_time() + dl_cmd + '\nBam for sample ' + bnids[i] + ' not in PDX contaner, '
'trying PANCAN\n')
dl_cmd = src_cmd + 'swift download PANCAN --prefix ALIGN/' + bnids[i] + '/BAM/' + bnids[i] \
+ '.merged.final.ba;'
subprocess.call(dl_cmd, shell=True)
if os.path.isfile(bam):
job_list.append(build_jobs(samtools, bed_fn, bnids[i]))
else:
sys.stderr.write(date_time() + dl_cmd + '\nCould not find bam for ' + bnids[i] + '\n')
exit(1)
sys.stderr.write('Running depth jobs\n')
job_manager(job_list, '8')
sys.stderr.write(date_time() + 'Compiling results\n')
cov_dict = compile_results(bnids)
sys.stderr.write(date_time() + 'Writing to output table\n')
out_fh = open(out + '_variant_coverage_table.txt', 'w')
out_fh.write('\t'.join(head) + '\n')
for var in vlist:
out_fh.write(var)
for i in range(0, len(bnids), 1):
m = re.search('\S+-(chr\w+)_(\d+)_\w+->\w+', var)
(chrom, pos) = (m.group(1), m.group(2))
if bnids[i] in cov_dict[chrom][pos]:
out_fh.write('\t' + cov_dict[chrom][pos][bnids[i]])
else:
out_fh.write('\t0')
out_fh.write('\n')
out_fh.close()
sys.stderr.write(date_time() + 'Fin\n')
def cnv_pipe(config_file, tum_bam, norm_bam, o_flag, project2):
(project_dir, project, bedtools, ana, bed,
cores) = parse_config(config_file)
job_list = []
tum_id = re.match('(\d+-\d+)\.', os.path.basename(tum_bam))
tum_id = tum_id.group(1)
norm_id = re.match('(\d+-\d+)\.', os.path.basename(norm_bam))
norm_id = norm_id.group(1)
pair = tum_id + '_' + norm_id
bed_t1 = bed.replace('.bed', '_t1.bed')
bed_t2 = bed.replace('.bed', '_t2.bed')
t1_genes = get_genes(bed_t1)
t2_genes = get_genes(bed_t2)
t1_suffix = '.t1.bedtools.coverage.txt'
t2_suffix = '.t2.bedtools.coverage.txt'
cnv_dir = project_dir + project + '/' + ana + '/' + pair + '/OUTPUT/'
if not os.path.isdir(cnv_dir):
sys.stderr.write(date_time() + 'Output path ' + cnv_dir +
' does not exist! Trying with backup project ' +
project2 + '\n')
cnv_dir = project_dir + project2 + '/' + ana + '/' + pair + '/OUTPUT/'
if not os.path.isdir(cnv_dir):
sys.stderr.write(date_time() + 'Output path ' + cnv_dir +
' does not exist! Check config and try again!\n')
exit(1)
clist = (tum_bam + ' -b ' + bed_t1 + ' > ',
tum_bam + ' -b ' + bed_t2 + ' > ',
norm_bam + ' -b ' + bed_t1 + ' > ',
norm_bam + ' -b ' + bed_t2 + ' > ')
flist = (cnv_dir + tum_id + t1_suffix, cnv_dir + tum_id + t2_suffix,
cnv_dir + norm_id + t1_suffix, cnv_dir + norm_id + t2_suffix)
if o_flag == 'y':
sys.stderr.write(date_time() +
'Overwrite yes given, creating new coverage files\n')
for i in range(0, len(flist)):
job_list.append(bedtools + ' coverage -abam ' + clist[i] +
flist[i])
else:
sys.stderr.write(
date_time() +
'Overwrite no given, checking for existing coverage files first\n')
for i in range(0, len(flist)):
if not os.path.isfile(flist[i]):
job_list.append(bedtools + ' coverage -abam ' + clist[i] +
flist[i])
sys.stderr.write(date_time() + 'Calculating read depth for ' + pair + '\n')
job_manager(job_list, cores)
# process coverage files, assess cnv
sys.stderr.write(date_time() +
'Collapsing read counts in to tiers and gene\n')
calc_tn_cov_ratios(cnv_dir, tum_id, norm_id, t1_genes, t2_genes, t1_suffix,
t2_suffix)
sys.stderr.write(date_time() + 'CNV analysis complete for ' + pair + '\n')
return 0
def convert_vcf(config_file, sample_pairs, suffix):
(java, sift, th) = parse_config(config_file)
cmd_list = []
for pair in open(sample_pairs, 'r'):
pair = pair.rstrip('\n').split('\t')
pair = pair[0]
in_vcf = pair + '/' + pair + suffix
out_xls = pair + '/' + pair + '.indels.xls'
cmd = java + ' -jar ' + sift + ' extractFields ' + in_vcf + \
' CHROM POS REF ALT "EFF[0].EFFECT" "EFF[0].FUNCLASS" "EFF[0].CODON" "EFF[0].AA" "EFF[0].AA_LEN" ' \
'"EFF[0].GENE" "EFF[0].BIOTYPE" "EFF[0].CODING" MINCOV ALTCOV COVRATIO ID > ' + out_xls
cmd_list.append(cmd)
job_manager(cmd_list, th)
def varscan_germline(config_file, sample, ref_mnt):
(samtools, varscan, region, fasta, th) = parse_config(config_file)
region = ref_mnt + '/' + region
fasta = ref_mnt + '/' + fasta
rf = open(region, 'r')
cmd_list = []
for line in rf:
chrom = line.split('\t')
cmd = samtools + ' mpileup -r ' + chrom[0] + ' -B -f ' + fasta + ' ' + sample + \
'.merged.final.bam | java -Xmx4000m -jar ' + varscan + ' mpileup2cns --output-vcf 1 --min-var-freq 0.35 --variants 1 > ' + \
chrom[0] + '.vcf'
cmd_list.append(cmd)
rf.close()
proc = int(th) - 2
job_manager(cmd_list, str(proc))
def varscan_germline(config_file, sample, ref_mnt):
(samtools, varscan, region, fasta, th) = parse_config(config_file)
region = ref_mnt + '/' + region
fasta = ref_mnt + '/' + fasta
rf = open(region, 'r')
cmd_list = []
for line in rf:
chrom = line.split('\t')
cmd = samtools + ' mpileup -r ' + chrom[0] + ' -B -f ' + fasta + ' ' + sample + \
'.merged.final.bam | java -Xmx4000m -jar ' + varscan + ' mpileup2cns --output-vcf 1 --min-var-freq 0.35' \
' --variants 1 > ' + \
chrom[0] + '.vcf'
cmd_list.append(cmd)
rf.close()
proc = int(th) - 2
job_manager(cmd_list, str(proc))
def calc_coverage(bedtools2_tool, sample, bedfile, cont, obj):
src_cmd = '. /home/ubuntu/.novarc;'
job_list = []
for bnid in open(sample):
bnid = bnid.rstrip('\n')
(dl_cmd, bam, bai) = get_bam_name(bnid, src_cmd, cont, obj)
if isinstance(bam, str):
bed_cmd = bedtools2_tool + ' coverage -hist -abam ' + bam + ' -b ' + bedfile + ' > ' + bnid + '.hist;'
cleanup = 'rm ' + bam + ' ' + bai + ';'
final = dl_cmd + bed_cmd + cleanup
job_list.append(final)
else:
for i in range(len(bam)):
bed_cmd = bedtools2_tool + ' coverage -hist -abam ' + bam[i] + ' -b ' + bedfile + ' > ' + bnid \
+ '_' + str(i) + '.hist;'
cleanup = 'rm ' + bam[i] + ' ' + bai[i] + ';'
final = dl_cmd[i] + bed_cmd + cleanup
job_list.append(final)
job_manager(job_list, '8')
def filter_bam_pipe(config_file, lane, ref_mnt):
(th, cont, obj, mouse_filter) = parse_config(config_file)
job_list = []
src_cmd = ". /home/ubuntu/.novarc;"
# pdb.set_trace()
fh = open(lane, 'r')
for la in fh:
la = la.rstrip('\n')
info = la.split('\t')
lanes = info[2].split(', ')
for rg in lanes:
fn = obj + '/' + info[0] + '/BAM/' + info[0] + '_' + rg + '.bam'
stub = info[0] + '_' + rg
swift_cmd = src_cmd + "swift download " + cont + " --skip-identical " + fn + " >> dl.log 2>> dl.log"
mf = mouse_filter + ' -b ' + fn + ' -o ' + stub
cmd = swift_cmd + '; ' + mf + '; rm ' + fn + ';'
job_list.append(cmd)
fh.close()
job_manager(job_list, th)
def cnv_pipe(config_file, tum_bam, norm_bam, o_flag, project2):
(project_dir, project, bedtools, ana, bed, cores) = parse_config(config_file)
job_list = []
tum_id = re.match('(\d+-\d+)\.', os.path.basename(tum_bam))
tum_id = tum_id.group(1)
norm_id = re.match('(\d+-\d+)\.', os.path.basename(norm_bam))
norm_id = norm_id.group(1)
pair = tum_id + '_' + norm_id
bed_t1 = bed.replace('.bed', '_t1.bed')
bed_t2 = bed.replace('.bed', '_t2.bed')
t1_genes = get_genes(bed_t1)
t2_genes = get_genes(bed_t2)
t1_suffix = '.t1.bedtools.coverage.txt'
t2_suffix = '.t2.bedtools.coverage.txt'
cnv_dir = project_dir + project + '/' + ana + '/' + pair + '/OUTPUT/'
if not os.path.isdir(cnv_dir):
sys.stderr.write(date_time() + 'Output path ' + cnv_dir + ' does not exist! Trying with backup project '
+ project2 + '\n')
cnv_dir = project_dir + project2 + '/' + ana + '/' + pair + '/OUTPUT/'
if not os.path.isdir(cnv_dir):
sys.stderr.write(date_time() + 'Output path ' + cnv_dir + ' does not exist! Check config and try again!\n')
exit(1)
clist = (tum_bam + ' -b ' + bed_t1 + ' > ', tum_bam + ' -b ' + bed_t2 + ' > ', norm_bam + ' -b ' + bed_t1
+ ' > ', norm_bam + ' -b ' + bed_t2 + ' > ')
flist = (cnv_dir + tum_id + t1_suffix, cnv_dir + tum_id + t2_suffix, cnv_dir + norm_id + t1_suffix, cnv_dir
+ norm_id + t2_suffix)
if o_flag == 'y':
sys.stderr.write(date_time() + 'Overwrite yes given, creating new coverage files\n')
for i in range(0, len(flist)):
job_list.append(bedtools + ' coverage -abam ' + clist[i] + flist[i])
else:
sys.stderr.write(date_time() + 'Overwrite no given, checking for existing coverage files first\n')
for i in range(0, len(flist)):
if not os.path.isfile(flist[i]):
job_list.append(bedtools + ' coverage -abam ' + clist[i] + flist[i])
sys.stderr.write(date_time() + 'Calculating read depth for ' + pair + '\n')
job_manager(job_list, cores)
# process coverage files, assess cnv
sys.stderr.write(date_time() + 'Collapsing read counts in to tiers and gene\n')
calc_tn_cov_ratios(cnv_dir, tum_id, norm_id, t1_genes, t2_genes, t1_suffix, t2_suffix)
sys.stderr.write(date_time() + 'CNV analysis complete for ' + pair + '\n')
return 0
def filter_bam_pipe(config_file, lane, ref_mnt):
(th, cont, obj, mouse_filter) = parse_config(config_file)
job_list = []
src_cmd = ". /home/ubuntu/.novarc;"
# pdb.set_trace()
fh = open(lane, 'r')
for la in fh:
la = la.rstrip('\n')
info = la.split('\t')
lanes = info[2].split(', ')
for rg in lanes:
fn = obj + '/' + info[0] + '/BAM/' + info[0] + '_' + rg + '.bam'
stub = info[0] + '_' + rg
swift_cmd = src_cmd + "swift download " + cont + " --skip-identical " + fn + " >> dl.log 2>> dl.log"
mf = mouse_filter + ' -b ' + fn + ' -o ' + stub
cmd = swift_cmd + '; ' + mf + '; rm ' + fn + ';'
job_list.append(cmd)
fh.close()
job_manager(job_list, th)
def batch_qc(fn, cont, obj, t):
if len(sys.argv) == 1:
parser.print_help()
sys.exit(1)
inputs = parser.parse_args()
fh = open(inputs.fn, 'r')
src_cmd = '. ~/.novarc;'
jobs = []
for line in fh:
line = line.rstrip('\n')
# All files for current bnid to be stored in cwd
swift_cmd = src_cmd + 'swift list ' + cont + ' --prefix ' + obj + '/' + line
sys.stderr.write(date_time() +
'Checking for sequence files for sample ' + line +
'\n' + swift_cmd + '\n')
try:
contents = subprocess.check_output(swift_cmd, shell=True)
if len(contents) < len(line):
sys.stderr.write(date_time() +
'Can\'t find sequencing files for ' + line +
' skipping!\n')
continue
except:
sys.stderr.write(date_time() +
'Can\'t find sequencing files for ' + line +
' skipping!\n')
continue
seqfile = re.findall('(\S+[sequence|f*q]*\.gz)', contents)
sf1 = seqfile[0]
end1 = os.path.basename(sf1)
sf2 = seqfile[1]
end2 = os.path.basename(sf2)
swift_cmd = src_cmd + "swift download " + cont + " --skip-identical --prefix " + obj + '/' + line
link_cmd = 'ln -s ' + sf1 + ' .;ln -s ' + sf2
fastqc_cmd = 'mkdir -p PREQC/' + line + '; fastqc -t 2 -o PREQC/' + line + ' ' + sf1 + ' ' + sf2
upload_cmd = src_cmd + 'swift upload ' + cont + ' PREQC/' + line
cleanup_cmd = 'rm -rf RAW/' + line + ' PREQC/' + line + ' ' + end1 + ' ' + end2
jobs.append(';'.join(
[swift_cmd, link_cmd, fastqc_cmd, upload_cmd, cleanup_cmd]))
sys.stderr.write(date_time() + 'Job list created, running jobs!\n')
job_manager(jobs, t)
return 0
def fastqc_pipe(flist, config_file):
(cont, obj, fastqc_tool, threads) = parse_config(config_file)
src_cmd = '. /home/ubuntu/.novarc;'
job_list = []
for fq in open(flist):
fq = fq.rstrip('\n')
root = os.path.basename(fq).replace('_sequence.txt.gz', '')
parts = fq.split('/')
dl_cmd = src_cmd + 'swift download ' + cont + ' ' + fq + ';'
outdir = obj + '/' + parts[1] + '/QC/'
logdir = obj + '/' + parts[1] + '/LOGS/'
setup_cmd = 'mkdir -p ' + outdir + ' ' + logdir + ';'
logfile = logdir + root + '.fastqc.log'
fastqc_cmd = fastqc_tool + ' --extract -o ' + outdir + ' ' + fq + ' 2> ' + logfile + ';'
up_cmd = src_cmd + 'swift upload ' + cont + ' ' + logfile + ';'
up_cmd += 'find ' + outdir + ' -name ' + root + '* | xargs -IFN swift upload ' + cont + ' FN;'
cleanup = 'rm ' + fq + ';'
final_cmd = dl_cmd + setup_cmd + fastqc_cmd + up_cmd + cleanup
job_list.append(final_cmd)
job_manager(job_list, threads)
def snpeff_pipe(config_file, sample_list, ref_mnt, novarc):
(java, snpeff, snpsift, report, dbsnp, bed, cont, obj, max_t) = parse_config(config_file)
dbsnp = ref_mnt + '/' + dbsnp
bed = ref_mnt + '/' + bed
fh = open(sample_list)
mk_log_dir = 'mkdir LOGS'
subprocess.call(mk_log_dir, shell=True)
cmd_list = []
run_snpsift = java + ' -jar ' + snpsift + ' annotate ' + dbsnp
run_snpeff = java + ' -jar ' + snpeff + ' eff -t hg19 -interval ' + bed
source_novarc(novarc)
for line in fh:
line = line.rstrip('\n')
in_vcf = obj + '/' + line + '.merged.final.bam.germline_calls.vcf'
sift_vcf = obj + '/' + line + '.snpSift.vcf'
final_vcf = obj + '/' + line + '.snpSift.snpEff.vcf'
dl_vcf = 'swift download ' + cont + ' ' + in_vcf + ';'
log = 'LOGS/' + line + '.snpeff.log'
run_cmd = dl_vcf + run_snpsift + ' ' + in_vcf + ' > ' + sift_vcf + ' 2> ' + log + ';' + run_snpeff + ' ' \
+ sift_vcf + ' -v > ' + final_vcf + ' 2>> ' + log
cmd_list.append(run_cmd)
job_manager(cmd_list, max_t)
def snpeff_pipe(config_file, sample_list, ref_mnt, novarc):
(java, snpeff, snpsift, report, dbsnp, bed, cont, obj,
max_t) = parse_config(config_file)
dbsnp = ref_mnt + '/' + dbsnp
bed = ref_mnt + '/' + bed
fh = open(sample_list)
mk_log_dir = 'mkdir LOGS'
subprocess.call(mk_log_dir, shell=True)
cmd_list = []
run_snpsift = java + ' -jar ' + snpsift + ' annotate ' + dbsnp
run_snpeff = java + ' -jar ' + snpeff + ' eff -t hg19 -interval ' + bed
source_novarc(novarc)
for line in fh:
line = line.rstrip('\n')
in_vcf = obj + '/' + line + '.merged.final.bam.germline_calls.vcf'
sift_vcf = obj + '/' + line + '.snpSift.vcf'
final_vcf = obj + '/' + line + '.snpSift.snpEff.vcf'
dl_vcf = 'swift download ' + cont + ' ' + in_vcf + ';'
log = 'LOGS/' + line + '.snpeff.log'
run_cmd = dl_vcf + run_snpsift + ' ' + in_vcf + ' > ' + sift_vcf + ' 2> ' + log + ';' + run_snpeff + ' ' \
+ sift_vcf + ' -v > ' + final_vcf + ' 2>> ' + log
cmd_list.append(run_cmd)
job_manager(cmd_list, max_t)
def capture_coverage(bedtools2_tool, sample, capture_bed_ref, wait_flag):
prefix = capture_bed_ref[:-4]
cc_t1_cmd = bedtools2_tool + " coverage -hist -abam " + sample + ".rmdup.srt.bam -b " + prefix + '_t1.bed' \
+ " | grep all > " + sample + ".capture_t1.hist"
cc_t2_cmd = bedtools2_tool + " coverage -hist -abam " + sample + ".rmdup.srt.bam -b " + prefix + '_t2.bed' \
+ " | grep all > " + sample + ".capture_t2.hist"
sys.stderr.write(date_time() + cc_t1_cmd + "\n" + cc_t2_cmd + "\n")
if wait_flag == 0:
Popen(cc_t1_cmd,
shell=True,
stdin=None,
stdout=None,
stderr=None,
close_fds=True)
Popen(cc_t2_cmd,
shell=True,
stdin=None,
stdout=None,
stderr=None,
close_fds=True)
else:
jobs = [cc_t1_cmd, cc_t2_cmd]
job_manager(jobs, 2)
return 0
def list_bam(cont, obj, sample, threads):
list_cmd = '. /home/ubuntu/.novarc;swift list ' + cont + ' --prefix ' + obj + '/' + sample + '/'
sys.stderr.write(date_time() + list_cmd + '\nGetting BAM list\n')
flist = subprocess.check_output(list_cmd, shell=True)
# Use to check on download status
p = []
for fn in re.findall('(.*)\n', flist):
if re.match('.*.merged.final.ba', fn):
sys.stderr.write(date_time() + 'Downloading relevant BAM file ' + fn + '\n')
dl_cmd = '. /home/ubuntu/.novarc;swift download ' + cont + ' --skip-identical ' + fn + ' --output '\
+ os.path.basename(fn)
p.append(dl_cmd)
if len(p) < 1:
sys.stderr.write(date_time() + 'No merged bam found for ' + sample + '\n')
return 1
f = job_manager(p, threads)
if f == 0:
sys.stderr.write(date_time() + 'BAM download complete\n')
return 0
else:
sys.stderr.write(date_time() + 'BAM download failed\n')
exit(1)
def mutect_pipe(config_file, tumor_id, normal_id):
(java, mutect, intervals, fa_ordered, max_t, ram, project_dir, project,
align) = parse_config(config_file)
# break up intervals into max threads junks to run all in parallel
int_fh = open(intervals, 'r')
int_dict = {}
i = 0
# create temp directory
tmp_cmd = 'mkdir temp'
subprocess.call(tmp_cmd, shell=True)
# create sub-interval files - split by chromosome
mk_dir_bed = 'mkdir bed'
subprocess.call(mk_dir_bed, shell=True)
for interval in int_fh:
(chrom, start, end) = interval.split('\t')
try:
int_dict[chrom]['fh'].write(interval)
except:
int_dict[chrom] = {}
int_dict[chrom]['fn'] = 'bed/intervals_' + chrom + '.bed'
int_dict[chrom]['fh'] = open(int_dict[chrom]['fn'], 'w')
int_dict[chrom]['fh'].write(interval)
i += 1
job_ram = int(int(ram) / int(max_t))
run_mut = java + ' -Djava.io.tmpdir=./temp -Xmx' + str(
job_ram) + 'g -jar ' + mutect
# array will store commands to run, next def will take care of job management using popen
cmd_list = []
bam_dir = project_dir + project + '/' + align
tumor_bam = bam_dir + '/' + tumor_id + '/BAM/' + tumor_id + '.merged.final.bam'
normal_bam = bam_dir + '/' + normal_id + '/BAM/' + normal_id + '.merged.final.bam'
sys.stderr.write(date_time() + 'Processing pair T: ' + tumor_bam + ' N: ' +
normal_bam + '\n')
out = tumor_id + '_' + normal_id
# make result directory for current pair
i = 1
for intvl in sorted(int_dict):
int_dict[intvl]['fh'].close()
cur = run_mut
output_file = out + '.' + intvl + '.out'
vcf_file = out + '.' + intvl + '.vcf'
log_file = 'LOGS/' + out + '.mut.' + intvl + '.log'
cur = cur + ' -T MuTect -fixMisencodedQuals -R ' + fa_ordered + ' --intervals ' + int_dict[intvl][
'fn'] + ' --input_file:normal ' + normal_bam + ' --input_file:tumor ' + tumor_bam + \
' --max_alt_alleles_in_normal_count 1000 --max_alt_alleles_in_normal_qscore_sum 37 ' \
'--max_alt_allele_in_normal_fraction 0.05 --out ' + output_file + ' -vcf ' + vcf_file \
+ ' --enable_extended_output --strand_artifact_power_threshold 0 -log ' + log_file \
+ ' >> ' + log_file + ' 2>> ' + log_file + '; cat ' + output_file \
+ ' | grep -v REJECT > ' + output_file + '.keep; cat ' + vcf_file \
+ ' | grep -v REJECT > ' + vcf_file + '.keep '
cmd_list.append(cur)
i += 1
# fix encode flag won't work if already phred 33, if a job fails try without
try:
job_manager(cmd_list, max_t)
except:
for i in range(0, len(cmd_list), 1):
cmd_list[i] = cmd_list[i].replace('-fixMisencodedQuals ', '')
job_manager(cmd_list, max_t)
cleanup_temp_dirs = 'rm -rf temp bed'
sys.stderr.write('Cleaning up temp dirs ' + cleanup_temp_dirs + '\n')
subprocess.call(cleanup_temp_dirs, shell=True)
sys.stderr.write(date_time() + 'SNV calling completed for ' + out + '\n')
return 0
def mutect_pipe(config_file, sample_pairs, ref_mnt):
(java, gatk, intervals, fa_ordered, max_t, ram) = parse_config(config_file)
intervals = ref_mnt + '/' + intervals
# break up intervals into max threads junks to run all in parallel
int_fh = open(intervals, 'r')
int_dict = {}
i = 0
# create temp directory
tmp_cmd = 'mkdir temp'
subprocess.call(tmp_cmd, shell=True)
# create sub-interval files - split by chromosome
mk_dir_bed = 'mkdir bed'
subprocess.call(mk_dir_bed, shell=True)
for interval in int_fh:
(chrom, start, end) = interval.split('\t')
intvl = start + '-' + end # normally not need if using normal interval file
try:
int_dict[chrom]['fh'].write(interval)
except:
int_dict[chrom] = {}
int_dict[chrom]['fn'] = 'bed/intervals_' + chrom + '.bed'
int_dict[chrom]['fh'] = open(int_dict[chrom]['fn'], 'w')
int_dict[chrom]['fh'].write(interval)
i += 1
fa_ordered = ref_mnt + '/' + fa_ordered
fh = open(sample_pairs)
job_ram = (int(ram) / int(max_t))
run_mut = java + ' -Djava.io.tmpdir=./temp -Xmx' + str(job_ram) + 'g -jar ' + gatk
mk_log_dir = 'mkdir LOGS'
subprocess.call(mk_log_dir, shell=True)
for line in fh:
# array will store commands to run, next def will take care of job management using popen
cmd_list = []
line = line.rstrip('\n')
(sample, tumor_id, normal_id) = line.split('\t')
tumor_bam = tumor_id + '.merged.final.bam'
normal_bam = normal_id + '.merged.final.bam'
sys.stderr.write(date_time() + 'Processing pair T: ' + tumor_bam + ' N: ' + normal_bam + '\n')
out = tumor_id + '_' + normal_id
# make result directory for current pair
mk_res = 'mkdir ' + out
subprocess.call(mk_res, shell=True)
i = 1
for intvl in sorted(int_dict):
int_dict[intvl]['fh'].close()
cur = run_mut
vcf_file = out + '.' + intvl + '.vcf'
log_file = 'LOGS/' + out + '.mut.' + intvl + '.log'
cur = cur + ' -T MuTect2 -S LENIENT -R ' + fa_ordered + ' --intervals ' + int_dict[intvl]['fn'] + \
' -I:normal ' + normal_bam + ' -I:tumor ' + tumor_bam + ' --max_alt_alleles_in_normal_count 1000'\
' --max_alt_alleles_in_normal_qscore_sum 37 --max_alt_allele_in_normal_fraction 0.05 --out ' + out \
+ '/' + vcf_file + ' 2>> ' + log_file + ';'
cmd_list.append(cur)
i += 1
# fix encode flag won't work if alread phred 33, if a job fails try without
try:
job_manager(cmd_list, max_t)
except:
for i in range(0, len(cmd_list), 1):
cmd_list[i] = cmd_list[i].replace('-fixMisencodedQuals ', '')
job_manager(cmd_list, max_t)
sys.stderr.write(date_time() + 'Variant calling completed!\n')
return 0
def calc_pos_cov(table, samtools, out):
fh = open(table)
head = next(fh)
bnids = []
head = head.rstrip('\n').split('\t')
for i in range(1, len(head), 1):
bnid = head[i].split('_')
bnids.append(bnid[0])
# create bed file to get coverage
bed_fn = out + '.bed'
bed = open(bed_fn, 'w')
vlist = []
# in the event an indel happens in one sample and snv in another at same position, don't process twice
for line in fh:
vlist.append(create_bed(line, bed))
bed.close()
fh.close()
job_list = []
src_cmd = '. ~/.novarc;'
# get bams, then build jobs
for i in range(0, len(bnids), 1):
sys.stderr.write(date_time() + 'Getting bam for ' + bnids[i] + '\n')
bam = 'ALIGN/' + bnids[i] + '/BAM/' + bnids[i] + '.merged.final.bam'
dl_cmd = src_cmd + 'swift download PDX --prefix ALIGN/' + bnids[
i] + '/BAM/' + bnids[i] + '.merged.final.ba;'
subprocess.call(dl_cmd, shell=True)
# try pdx container, if not, try pancan
if os.path.isfile(bam):
job_list.append(build_jobs(samtools, bed_fn, bnids[i]))
else:
sys.stderr.write(date_time() + dl_cmd + '\nBam for sample ' +
bnids[i] + ' not in PDX contaner, '
'trying PANCAN\n')
dl_cmd = src_cmd + 'swift download PANCAN --prefix ALIGN/' + bnids[i] + '/BAM/' + bnids[i] \
+ '.merged.final.ba;'
subprocess.call(dl_cmd, shell=True)
if os.path.isfile(bam):
job_list.append(build_jobs(samtools, bed_fn, bnids[i]))
else:
sys.stderr.write(date_time() + dl_cmd +
'\nCould not find bam for ' + bnids[i] + '\n')
exit(1)
sys.stderr.write('Running depth jobs\n')
job_manager(job_list, '8')
sys.stderr.write(date_time() + 'Compiling results\n')
cov_dict = compile_results(bnids)
sys.stderr.write(date_time() + 'Writing to output table\n')
out_fh = open(out + '_variant_coverage_table.txt', 'w')
out_fh.write('\t'.join(head) + '\n')
for var in vlist:
out_fh.write(var)
for i in range(0, len(bnids), 1):
m = re.search('\S+-(chr\w+)_(\d+)_\w+->\w+', var)
(chrom, pos) = (m.group(1), m.group(2))
if bnids[i] in cov_dict[chrom][pos]:
out_fh.write('\t' + cov_dict[chrom][pos][bnids[i]])
else:
out_fh.write('\t0')
out_fh.write('\n')
out_fh.close()
sys.stderr.write(date_time() + 'Fin\n')
def mutect_pipe(config_file, sample_pairs, ref_mnt):
(java, gatk, intervals, fa_ordered, max_t, ram) = parse_config(config_file)
intervals = ref_mnt + '/' + intervals
# break up intervals into max threads junks to run all in parallel
int_fh = open(intervals, 'r')
int_dict = {}
i = 0
# create temp directory
tmp_cmd = 'mkdir temp'
subprocess.call(tmp_cmd, shell=True)
# create sub-interval files - split by chromosome
mk_dir_bed = 'mkdir bed'
subprocess.call(mk_dir_bed, shell=True)
for interval in int_fh:
(chrom, start, end) = interval.split('\t')
intvl = start + '-' + end # normally not need if using normal interval file
try:
int_dict[chrom]['fh'].write(interval)
except:
int_dict[chrom] = {}
int_dict[chrom]['fn'] = 'bed/intervals_' + chrom + '.bed'
int_dict[chrom]['fh'] = open(int_dict[chrom]['fn'], 'w')
int_dict[chrom]['fh'].write(interval)
i += 1
fa_ordered = ref_mnt + '/' + fa_ordered
fh = open(sample_pairs)
job_ram = (int(ram) / int(max_t))
run_mut = java + ' -Djava.io.tmpdir=./temp -Xmx' + str(
job_ram) + 'g -jar ' + gatk
mk_log_dir = 'mkdir LOGS'
subprocess.call(mk_log_dir, shell=True)
for line in fh:
# array will store commands to run, next def will take care of job management using popen
cmd_list = []
line = line.rstrip('\n')
(sample, tumor_id, normal_id) = line.split('\t')
tumor_bam = tumor_id + '.merged.final.bam'
normal_bam = normal_id + '.merged.final.bam'
sys.stderr.write(date_time() + 'Processing pair T: ' + tumor_bam +
' N: ' + normal_bam + '\n')
out = tumor_id + '_' + normal_id
# make result directory for current pair
mk_res = 'mkdir ' + out
subprocess.call(mk_res, shell=True)
i = 1
for intvl in sorted(int_dict):
int_dict[intvl]['fh'].close()
cur = run_mut
vcf_file = out + '.' + intvl + '.vcf'
log_file = 'LOGS/' + out + '.mut.' + intvl + '.log'
cur = cur + ' -T MuTect2 -S LENIENT -R ' + fa_ordered + ' --intervals ' + int_dict[intvl]['fn'] + \
' -I:normal ' + normal_bam + ' -I:tumor ' + tumor_bam + ' --max_alt_alleles_in_normal_count 1000'\
' --max_alt_alleles_in_normal_qscore_sum 37 --max_alt_allele_in_normal_fraction 0.05 --out ' + out \
+ '/' + vcf_file + ' 2>> ' + log_file + ';'
cmd_list.append(cur)
i += 1
# fix encode flag won't work if alread phred 33, if a job fails try without
try:
job_manager(cmd_list, max_t)
except:
for i in range(0, len(cmd_list), 1):
cmd_list[i] = cmd_list[i].replace('-fixMisencodedQuals ', '')
job_manager(cmd_list, max_t)
sys.stderr.write(date_time() + 'Variant calling completed!\n')
return 0
def mutect_pipe(config_file, tumor_id, normal_id):
(java, mutect, intervals, fa_ordered, max_t, ram, project_dir, project, align) = parse_config(config_file)
# break up intervals into max threads junks to run all in parallel
int_fh = open(intervals, 'r')
int_dict = {}
i = 0
# create temp directory
tmp_cmd = 'mkdir temp'
subprocess.call(tmp_cmd, shell=True)
# create sub-interval files - split by chromosome
mk_dir_bed = 'mkdir bed'
subprocess.call(mk_dir_bed, shell=True)
for interval in int_fh:
(chrom, start, end) = interval.split('\t')
try:
int_dict[chrom]['fh'].write(interval)
except:
int_dict[chrom] = {}
int_dict[chrom]['fn'] = 'bed/intervals_' + chrom + '.bed'
int_dict[chrom]['fh'] = open(int_dict[chrom]['fn'], 'w')
int_dict[chrom]['fh'].write(interval)
i += 1
job_ram = int(int(ram) / int(max_t))
run_mut = java + ' -Djava.io.tmpdir=./temp -Xmx' + str(job_ram) + 'g -jar ' + mutect
# array will store commands to run, next def will take care of job management using popen
cmd_list = []
bam_dir = project_dir + project + '/' + align
tumor_bam = bam_dir + '/' + tumor_id + '/BAM/' + tumor_id + '.merged.final.bam'
normal_bam = bam_dir + '/' + normal_id + '/BAM/' + normal_id + '.merged.final.bam'
sys.stderr.write(date_time() + 'Processing pair T: ' + tumor_bam + ' N: ' + normal_bam + '\n')
out = tumor_id + '_' + normal_id
# make result directory for current pair
i = 1
for intvl in sorted(int_dict):
int_dict[intvl]['fh'].close()
cur = run_mut
output_file = out + '.' + intvl + '.out'
vcf_file = out + '.' + intvl + '.vcf'
log_file = 'LOGS/' + out + '.mut.' + intvl + '.log'
cur = cur + ' -T MuTect -fixMisencodedQuals -R ' + fa_ordered + ' --intervals ' + int_dict[intvl][
'fn'] + ' --input_file:normal ' + normal_bam + ' --input_file:tumor ' + tumor_bam + \
' --max_alt_alleles_in_normal_count 1000 --max_alt_alleles_in_normal_qscore_sum 37 ' \
'--max_alt_allele_in_normal_fraction 0.05 --out ' + output_file + ' -vcf ' + vcf_file \
+ ' --enable_extended_output --strand_artifact_power_threshold 0 -log ' + log_file \
+ ' >> ' + log_file + ' 2>> ' + log_file + '; cat ' + output_file \
+ ' | grep -v REJECT > ' + output_file + '.keep; cat ' + vcf_file \
+ ' | grep -v REJECT > ' + vcf_file + '.keep '
cmd_list.append(cur)
i += 1
# fix encode flag won't work if already phred 33, if a job fails try without
try:
job_manager(cmd_list, max_t)
except:
for i in range(0, len(cmd_list), 1):
cmd_list[i] = cmd_list[i].replace('-fixMisencodedQuals ', '')
job_manager(cmd_list, max_t)
cleanup_temp_dirs = 'rm -rf temp bed'
sys.stderr.write('Cleaning up temp dirs ' + cleanup_temp_dirs + '\n')
subprocess.call(cleanup_temp_dirs, shell=True)
sys.stderr.write(date_time() + 'SNV calling completed for ' + out + '\n')
return 0
def mutect_pipe(config_file, sample_pairs, ref_mnt):
(java, mutect, intervals, fa_ordered, max_t, ram) = parse_config(config_file)
intervals = ref_mnt + "/" + intervals
# break up intervals into max threads junks to run all in parallel
int_fh = open(intervals, "r")
int_dict = {}
i = 0
# create temp directory
tmp_cmd = "mkdir temp"
subprocess.call(tmp_cmd, shell=True)
# create sub-interval files - split by chromosome
mk_dir_bed = "mkdir bed"
subprocess.call(mk_dir_bed, shell=True)
for interval in int_fh:
(chrom, start, end) = interval.split("\t")
intvl = start + "-" + end # normally not need if using normal interval file
try:
int_dict[chrom]["fh"].write(interval)
except:
int_dict[chrom] = {}
int_dict[chrom]["fn"] = "bed/intervals_" + chrom + ".bed"
int_dict[chrom]["fh"] = open(int_dict[chrom]["fn"], "w")
int_dict[chrom]["fh"].write(interval)
i += 1
fa_ordered = ref_mnt + "/" + fa_ordered
fh = open(sample_pairs)
job_ram = int(ram) / int(max_t)
run_mut = java + " -Djava.io.tmpdir=./temp -Xmx" + str(job_ram) + "g -jar " + mutect
mk_log_dir = "mkdir LOGS"
subprocess.call(mk_log_dir, shell=True)
for line in fh:
# array will store commands to run, next def will take care of job management using popen
cmd_list = []
line = line.rstrip("\n")
(sample, tumor_id, normal_id) = line.split("\t")
tumor_bam = tumor_id + ".merged.final.bam"
normal_bam = normal_id + ".merged.final.bam"
sys.stderr.write(date_time() + "Processing pair T: " + tumor_bam + " N: " + normal_bam + "\n")
out = tumor_id + "_" + normal_id
# make result directory for current pair
mk_res = "mkdir " + out
subprocess.call(mk_res, shell=True)
i = 1
for intvl in sorted(int_dict):
int_dict[intvl]["fh"].close()
cur = run_mut
output_file = out + "." + intvl + ".out"
vcf_file = out + "." + intvl + ".vcf"
log_file = "LOGS/" + out + ".mut." + intvl + ".log"
cur = (
cur
+ " -T MuTect -fixMisencodedQuals -R "
+ fa_ordered
+ " --intervals "
+ int_dict[intvl]["fn"]
+ " --input_file:normal "
+ normal_bam
+ " --input_file:tumor "
+ tumor_bam
+ " --max_alt_alleles_in_normal_count 1000 --max_alt_alleles_in_normal_qscore_sum 37 "
"--max_alt_allele_in_normal_fraction 0.05 --out "
+ out
+ "/"
+ output_file
+ " -vcf "
+ out
+ "/"
+ vcf_file
+ " --enable_extended_output --strand_artifact_power_threshold 0 -log "
+ log_file
+ " >> "
+ log_file
+ " 2>> "
+ log_file
+ "; cat "
+ out
+ "/"
+ output_file
+ " | grep -v REJECT > "
+ out
+ "/"
+ output_file
+ ".keep; cat "
+ out
+ "/"
+ vcf_file
+ " | grep -v REJECT > "
+ out
+ "/"
+ vcf_file
+ ".keep "
)
cmd_list.append(cur)
i += 1
# fix encode flag won't work if alread phred 33, if a job fails try without
try:
job_manager(cmd_list, max_t)
except:
for i in xrange(0, len(cmd_list), 1):
cmd_list[i] = cmd_list[i].replace("-fixMisencodedQuals ", "")
job_manager(cmd_list, max_t)
sys.stderr.write(date_time() + "Variant calling completed!\n")
return 0
