def main(args):
bf = BAMFile(args.input)
chrlens = bf.get_header().get_sequence_lengths()
of_chrlens = open(args.output, 'w')
for qname in sorted(chrlens.keys()):
of_chrlens.write(qname + "\t" + str(chrlens[qname]) + "\n")
of_chrlens.close()
def main():
parser = argparse.ArgumentParser(
description="", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input', help="BAM file input")
parser.add_argument('--threads',
type=int,
default=cpu_count(),
help="Thread count")
parser.add_argument('--tempdir',
help="location of temporary directory to use")
parser.add_argument('-o', '--output', help="Output file name")
args = parser.parse_args()
if args.tempdir: args.tempdir = args.tempdir.rstrip('/')
bf = BAMFile(args.input)
seqs = bf.get_header().get_sequence_lengths()
f = tempfile.NamedTemporaryFile(delete=False)
for seq in seqs:
f.write(seq + "\t" + str(seqs[seq]) + "\n")
f.close()
bf.close()
fout = tempfile.NamedTemporaryFile(delete=False)
cmd = 'sort -k 1,1 -k2,2n -k3,3n -S4G --parallel=' + str(args.threads)
if args.tempdir: cmd += ' -T ' + args.tempdir
global ps
ps = Popen(cmd.split(), stdin=PIPE, stdout=fout)
if args.threads > 1:
poo = Pool(processes=args.threads)
for seq in seqs:
if args.threads > 1:
poo.apply_async(do_seq,
args=(seq, args, f.name),
callback=do_output)
else:
res = do_seq(seq, args, f.name)
do_output(res)
if args.threads > 1:
poo.close()
poo.join()
ps.communicate()
fout.close()
of = sys.stdout
if args.output:
if args.output[-3:] == '.gz':
of = gzip.open(args.output, 'w')
else:
of = open(args.output, 'w')
cmd = 'sort -k 1,1 -k2,2n -k3,3n -S4G --parallel=' + str(args.threads)
inf = open(fout.name)
p = Popen(cmd.split(), stdout=PIPE, stdin=inf)
for line in p.stdout:
of.write(line)
p.communicate()
inf.close()
of.close()
os.unlink(f.name)
os.unlink(fout.name)
def do_chunk(coords,ecount,args):
bf = BAMFile(args.input,blockStart=coords[0],innerStart=coords[1])
results = []
for i in range(0,ecount):
e = bf.read_entry()
if e.is_aligned():
rng = e.get_target_range()
results.append([rng.get_range_string(),e.get_aligned_bases_count()])
else:
results.append(['',0])
return results
def main():
parser = argparse.ArgumentParser(description="",formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input',help="BAM file input")
parser.add_argument('--threads',type=int,default=cpu_count(),help="Thread count")
parser.add_argument('--tempdir',help="location of temporary directory to use")
parser.add_argument('-o','--output',help="Output file name")
args = parser.parse_args()
if args.tempdir: args.tempdir = args.tempdir.rstrip('/')
bf = BAMFile(args.input)
seqs = bf.get_header().get_sequence_lengths()
f = tempfile.NamedTemporaryFile(delete=False)
for seq in seqs:
f.write(seq+"\t"+str(seqs[seq])+"\n")
f.close()
bf.close()
fout = tempfile.NamedTemporaryFile(delete=False)
cmd = 'sort -k 1,1 -k2,2n -k3,3n -S4G --parallel='+str(args.threads)
if args.tempdir: cmd += ' -T '+args.tempdir
global ps
ps = Popen(cmd.split(),stdin=PIPE,stdout=fout)
if args.threads > 1:
poo = Pool(processes=args.threads)
for seq in seqs:
if args.threads > 1:
poo.apply_async(do_seq,args=(seq,args,f.name),callback=do_output)
else:
res = do_seq(seq,args,f.name)
do_output(res)
if args.threads > 1:
poo.close()
poo.join()
ps.communicate()
fout.close()
of = sys.stdout
if args.output:
if args.output[-3:]=='.gz':
of = gzip.open(args.output,'w')
else:
of = open(args.output,'w')
cmd = 'sort -k 1,1 -k2,2n -k3,3n -S4G --parallel='+str(args.threads)
inf = open(fout.name)
p = Popen(cmd.split(),stdout=PIPE,stdin=inf)
for line in p.stdout:
of.write(line)
p.communicate()
inf.close()
of.close()
os.unlink(f.name)
os.unlink(fout.name)
def main():
parser = argparse.ArgumentParser(
description="", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input', help="BAM file or Use - for STDIN for SAM")
parser.add_argument('--minimum_intron',
type=int,
default=68,
help="smallest intron")
parser.add_argument('-o', '--output', help="Output file, gzip is okay")
args = parser.parse_args()
of = sys.stdout
if args.output:
if args.output[-3:] == '.gz':
of = gzip.open(args.output, 'w')
else:
of = open(args.output, 'w')
if args.input == '-':
sh = SamStream(sys.stdin)
else:
sh = BAMFile(args.input)
for e in sh:
if not e.is_aligned(): continue
gpd_line = e.get_target_transcript(
min_intron=args.minimum_intron).get_gpd_line()
of.write(gpd_line + "\n")
sh.close()
of.close()
def main():
parser = argparse.ArgumentParser(
description=
'Based on Yunhaos ONT naming convention. i.e. BOWDEN04_20160603_FNFAD11879_MN16254_sequencing_run_R9_H1cDNA_SIRV_79593_ch49_read2100_strand_pass_2D or /^(\S+)_\d+_[^_]+_[^_]+[^_]+_[^_]+_[^_]+$/',
formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input', help="Input bam file")
parser.add_argument('-o',
'--output',
required=True,
help="output directory")
parser.add_argument(
'--suffix',
help="string to add before .bam: cellname.XXXXXX.sorted.bam")
args = parser.parse_args()
args.output = args.output.rstrip('/')
nameprog = re.compile('^(\S+)_\d+_[^_]+_[^_]+_[^_]+_[^_]+_[^_]+$')
if not os.path.exists(args.output): os.makedirs(args.output)
bf = BAMFile(args.input)
sorted_header_text = sort_header(bf.header_text)
fhs = {}
z = 0
for e in bf:
z += 1
if z % 1000 == 0:
sys.stderr.write(
str(z) + " reads " + str(len(fhs.keys())) + " cells \r")
m = nameprog.match(e.value('qname'))
mol = '_nonont'
if m:
mol = m.group(1)
ln = e.get_line()
if mol not in fhs:
fname = args.output + '/' + mol
if args.suffix:
fname += '.' + args.suffix
fname += '.gz'
of = gzip.open(fname, 'w')
fhs[mol] = [of, fname]
fhs[mol][0].write(sorted_header_text)
fhs[mol][0].write(ln + "\n")
sys.stderr.write("\n")
z = 0
for mol in fhs:
z += 1
fhs[mol][0].close()
ofname = fhs[mol][1][:-2] + 'sorted'
inf = gzip.open(fhs[mol][1])
cmd1 = 'samtools view -Sb -'
cmd2 = 'samtools sort - ' + ofname
p2 = Popen(cmd2.split(), stdin=PIPE)
p1 = Popen(cmd1.split(), stdin=inf, stdout=p2.stdin)
p2.communicate()
p1.communicate()
inf.close()
of.close()
os.remove(fhs[mol][1])
sys.stderr.write(
str(z) + '/' + str(len(fhs.keys())) + " finished \r")
sys.stderr.write("\n")
def main():
parser = argparse.ArgumentParser(
description="", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input', help="Input bam file")
parser.add_argument('-o',
'--output',
required=True,
help="output directory")
parser.add_argument(
'--suffix',
help="string to add before .bam: smrtcellname.XXXXXX.sorted.bam")
args = parser.parse_args()
args.output = args.output.rstrip('/')
nameprog = re.compile('^([^\/]+)\/\d+/')
if not os.path.exists(args.output): os.makedirs(args.output)
bf = BAMFile(args.input)
sorted_header_text = sort_header(bf.header_text)
fhs = {}
z = 0
for e in bf:
z += 1
if z % 1000 == 0:
sys.stderr.write(
str(z) + " reads " + str(len(fhs.keys())) + " cells \r")
m = nameprog.match(e.value('qname'))
mol = '_nonpacbio'
if m:
mol = m.group(1)
ln = e.get_line()
if mol not in fhs:
fname = args.output + '/' + mol
if args.suffix:
fname += '.' + args.suffix
fname += '.gz'
of = gzip.open(fname, 'w')
fhs[mol] = [of, fname]
fhs[mol][0].write(sorted_header_text)
fhs[mol][0].write(ln + "\n")
sys.stderr.write("\n")
z = 0
for mol in fhs:
z += 1
fhs[mol][0].close()
ofname = fhs[mol][1][:-2] + 'sorted'
inf = gzip.open(fhs[mol][1])
cmd1 = 'samtools view -Sb -'
cmd2 = 'samtools sort - ' + ofname
p2 = Popen(cmd2.split(), stdin=PIPE)
p1 = Popen(cmd1.split(), stdin=inf, stdout=p2.stdin)
p2.communicate()
p1.communicate()
inf.close()
of.close()
os.remove(fhs[mol][1])
sys.stderr.write(
str(z) + '/' + str(len(fhs.keys())) + " finished \r")
sys.stderr.write("\n")
def do_chunk(ilines, infile, args):
ilines = [x.rstrip().split("\t") for x in ilines]
coord = [int(x) for x in ilines[0][2:4]]
bf = BAMFile(infile, blockStart=coord[0], innerStart=coord[1])
results = []
for i in range(0, len(ilines)):
flag = int(ilines[i][5])
e = bf.read_entry()
#if not e: break
#print {'qlen':e.get_original_query_length(),'alen':e.get_aligned_bases_count()}
value = None
if e.is_aligned():
tx = e.get_target_transcript(args.minimum_intron_size)
value = {
'qrng': e.get_actual_original_query_range().get_range_string(),
'tx': tx.get_gpd_line(),
'flag': flag,
'qlen': e.get_original_query_length(),
'aligned_bases': e.get_aligned_bases_count()
}
results.append(
e.value('qname') + "\t" +
base64.b64encode(zlib.compress(pickle.dumps(value))))
#results.append([e.value('qname'),zlib.compress(pickle.dumps(value))])
else:
value = {
'qrng': '',
'tx': '',
'flag': flag,
'qlen': e.get_original_query_length(),
'aligned_bases': 0
}
results.append(
e.value('qname') + "\t" +
base64.b64encode(zlib.compress(pickle.dumps(value))))
#results.append([e.value('qname'),zlib.compress(pickle.dumps(value))])
return results
def main():
parser = argparse.ArgumentParser(
description="", formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.add_argument('input', help="Use - for STDIN or specify a BAM file")
parser.add_argument('-r',
'--reference',
help="Reference fasta",
required=True)
args = parser.parse_args()
ref = None
if args.reference:
ref = FastaData(open(args.reference, 'rb').read())
if args.input == '-':
args.input = SamStream(sys.stdin, reference=ref)
else:
args.input = BAMFile(args.input, reference=ref)
for e in args.input:
if e.is_aligned():
print e.get_PSL()
def main():
#do our inputs
args = do_inputs()
bf = BAMFile(args.input)
if not args.all_alignments:
if args.index_path:
bf.read_index(args.index_path)
else:
bf.read_index(args.index_path)
ls = LocusStream(bf)
if args.output:
args.output = open(args.output,'w')
else:
args.output = sys.stdout
global of
of = args.output
z = 0
if args.threads > 1:
p = Pool(processes=args.threads)
for entries in ls:
bedarray = []
#print len(entries.get_payload())
for e in entries.get_payload():
if not args.all_alignments and not e.indexed_as_primary_alignment(): continue
if not e.is_aligned(): continue
tx = e.get_target_transcript(min_intron=args.minimum_intron_size)
for exon in tx.exons:
bedarray.append(exon.rng.copy())
#print exon.rng.get_range_string()
if len(bedarray) == 0: continue
if args.threads > 1:
p.apply_async(get_output,args=(bedarray,z,),callback=do_output)
else:
r = get_output(bedarray,z)
do_output(r)
z += 1
if args.threads > 1:
p.close()
p.join()
# Temporary working directory step 3 of 3 - Cleanup
if not args.specific_tempdir:
rmtree(args.tempdir)
args.output.close()
def main(args):
# make our error profile report
sys.stderr.write("Reading reference fasta\n")
ref = FastaData(open(args.reference).read())
sys.stderr.write("Reading alignments\n")
epf = ErrorProfileFactory()
if args.random:
bf = None
if args.input_index:
bf = BAMFile(args.input,
reference=ref,
index_file=args.input_index)
bf.read_index(index_file=args.input_index)
else:
bf = BAMFile(args.input, reference=ref)
bf.read_index()
if not bf.has_index():
sys.stderr.write("Random access requires an index be set\n")
z = 0
strand = 'target'
if args.query: strand = 'query'
con = 0
while True:
rname = random.choice(bf.index.get_names())
#print rname
coord = bf.index.get_longest_target_alignment_coords_by_name(rname)
#print coord
if not coord: continue
e = bf.fetch_by_coord(coord)
if e.is_aligned():
epf.add_alignment(e)
z += 1
if z % 100 == 1:
con = epf.get_min_context_count(strand)
sys.stderr.write(
str(z) + " alignments, " + str(con) +
" min context coverage\r")
if args.max_alignments <= z: break
if args.stopping_point <= con: break
else:
bf = BAMFile(args.input, reference=ref)
z = 0
strand = 'target'
if args.query: strand = 'query'
con = 0
for e in bf:
if e.is_aligned():
epf.add_alignment(e)
z += 1
if z % 100 == 1:
con = epf.get_min_context_count(strand)
sys.stderr.write(
str(z) + " alignments, " + str(con) +
" min context coverage\r")
if args.max_alignments <= z: break
if args.stopping_point <= con: break
sys.stderr.write("\n")
sys.stderr.write('working with:' + "\n")
sys.stderr.write(
str(z) + " alignments, " + str(con) + " min context coverage" + "\n")
epf.write_context_error_report(args.tempdir + '/err.txt', strand)
for ofile in args.output:
cmd = args.rscript_path + ' ' + os.path.dirname(
os.path.realpath(__file__)
) + '/plot_base_error_context.r ' + args.tempdir + '/err.txt ' + ofile + ' '
if args.scale:
cmd += ' '.join([str(x) for x in args.scale])
sys.stderr.write(cmd + "\n")
call(cmd.split())
sys.stderr.write("finished\n")
if args.output_raw:
of = open(args.output_raw, 'w')
with open(args.tempdir + "/err.txt") as inf:
for line in inf:
of.write(line)
# Temporary working directory step 3 of 3 - Cleanup
if not args.specific_tempdir:
rmtree(args.tempdir)
def main(args):
sys.stderr.write("Read reference fasta\n")
fasta = FastaData(open(args.reference_fasta).read())
sys.stderr.write("Read alignment file\n")
bf = BAMFile(args.bam_input,reference=fasta)
bf.read_index()
total_qualities = []
for j in range(0,100):
total_qualities.append([])
ef = ErrorProfileFactory()
mincontext = 0
alignments = 0
for i in range(0,args.max_alignments):
rname = random.choice(bf.index.get_names())
coord = bf.index.get_longest_target_alignment_coords_by_name(rname)
if not coord: continue
bam = bf.fetch_by_coord(coord)
qual = bam.value('qual')
do_qualities(total_qualities,qual)
if not bam.is_aligned(): continue
alignments += 1
ef.add_alignment(bam)
if i%100 == 0:
mincontext = ef.get_min_context_count('target')
if mincontext:
if mincontext >= args.min_context and alignments >= args.min_alignments: break
sys.stderr.write(str(i+1)+" lines "+str(alignments)+"/"+str(args.min_alignments)+" alignments "+str(mincontext)+"/"+str(args.min_context)+" mincontext \r")
sys.stderr.write("\n")
sys.stderr.write(str(mincontext)+" minimum contexts observed\n")
target_context = ef.get_target_context_error_report()
general_error_stats = ef.get_alignment_errors().get_stats()
general_error_report = ef.get_alignment_errors().get_report()
# convert report to table
general_all = [x.split("\t") for x in general_error_report.rstrip().split("\n")]
general_head = general_all[0]
#print [y for y in general_all[1:]]
general_data = [[y[0],y[1],int(y[2]),int(y[3])] for y in general_all[1:]]
general_error_report = {'head':general_head,'data':general_data}
quality_counts = []
for vals in total_qualities:
garr = []
grp = {}
for v in vals:
if v[0] not in grp: grp[v[0]] = {}# check ordinal
if v[1] not in grp[v[0]]: grp[v[0]][v[1]] = 0 # run length
grp[v[0]][v[1]]+=1
for ordval in sorted(grp.keys()):
for runlen in sorted(grp[ordval].keys()):
garr.append([ordval,runlen,grp[ordval][runlen]])
quality_counts.append(garr)
#Quailty counts now has 100 bins, each has an ordered array of
# [ordinal_quality, run_length, observation_count]
# Can prepare an output
output = {}
output['quality_counts'] = quality_counts
output['context_error'] = target_context
output['alignment_error'] = general_error_report
output['error_stats'] = general_error_stats
of = None
if args.output[-3:]=='.gz':
of = gzip.open(args.output,'w')
else: of = open(args.output,'w')
of.write(base64.b64encode(zlib.compress(json.dumps(output)))+"\n")
of.close()
# Temporary working directory step 3 of 3 - Cleanup
if not args.specific_tempdir:
rmtree(args.tempdir)
def main(args):
sys.stderr.write("Reading our reference Fasta\n")
ref = FastaData(open(args.reference, 'rb').read())
sys.stderr.write("Finished reading our reference Fasta\n")
bf = None
if args.input_index:
bf = BAMFile(args.input, reference=ref, index_file=args.input_index)
bf.read_index(index_file=args.input_index)
else:
bf = BAMFile(args.input, reference=ref)
bf.read_index()
epf = ErrorProfileFactory()
if args.random:
if not bf.has_index():
sys.stderr.write(
"Random access requires our format of index bgi to be set\n")
sys.exit()
z = 0
while True:
rname = random.choice(bf.index.get_names())
coord = bf.index.get_longest_target_alignment_coords_by_name(rname)
if not coord: continue
e = bf.fetch_by_coord(coord)
if e.is_aligned():
epf.add_alignment(e)
z += 1
#print z
if z % 100 == 1:
con = epf.get_alignment_errors().alignment_length
if args.max_length <= con: break
sys.stderr.write(
str(con) + "/" + str(args.max_length) +
" bases from " + str(z) + " alignments\r")
sys.stderr.write("\n")
else:
z = 0
for e in bf:
if e.is_aligned():
epf.add_alignment(e)
z += 1
#print z
if z % 100 == 1:
con = epf.get_alignment_errors().alignment_length
if args.max_length <= con: break
sys.stderr.write(
str(con) + "/" + str(args.max_length) +
" bases from " + str(z) + " alignments\r")
sys.stderr.write("\n")
of = open(args.tempdir + '/report.txt', 'w')
of.write(epf.get_alignment_errors().get_report())
of.close()
for ofile in args.output:
cmd = args.rscript_path + ' ' + os.path.dirname(
os.path.realpath(__file__)
) + '/plot_alignment_errors.r ' + args.tempdir + '/report.txt ' + ofile + ' '
if args.scale:
cmd += ' '.join([str(x) for x in args.scale])
sys.stderr.write(cmd + "\n")
call(cmd.split())
if args.output_raw:
of = open(args.output_raw, 'w')
with open(args.tempdir + "/report.txt") as inf:
for line in inf:
of.write(line)
of.close()
if args.output_stats:
of = open(args.output_stats, 'w')
of.write(epf.get_alignment_errors().get_stats())
of.close()
sys.stderr.write("finished\n")
# Temporary working directory step 3 of 3 - Cleanup
if not args.specific_tempdir:
rmtree(args.tempdir)
