def contamination(args):
"""
%prog contamination folder Ecoli.fasta
Remove contaminated reads. The FASTQ files in the folder will automatically
pair and filtered against Ecoli.fasta to remove contaminants using BOWTIE2.
"""
from jcvi.apps.bowtie import align
p = OptionParser(contamination.__doc__)
p.add_option(
"--mapped",
default=False,
action="store_true",
help="Retain contaminated reads instead",
)
p.set_cutoff(cutoff=800)
p.set_mateorientation(mateorientation="+-")
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
folder, ecoli = args
ecoli = get_abs_path(ecoli)
tag = "--mapped" if opts.mapped else "--unmapped"
for p, pf in iter_project(folder):
align_opts = [ecoli] + p + [tag]
align_opts += ["--cutoff={0}".format(opts.cutoff), "--null"]
if opts.mateorientation:
align_opts += [
"--mateorientation={0}".format(opts.mateorientation)
]
align(align_opts)
def contamination(args):
"""
%prog contamination folder Ecoli.fasta
Remove contaminated reads. The FASTQ files in the folder will automatically
pair and filtered against Ecoli.fasta to remove contaminants using BOWTIE2.
"""
from jcvi.apps.bowtie import align
p = OptionParser(contamination.__doc__)
p.add_option("--mapped", default=False, action="store_true",
help="Retain contaminated reads instead [default: %default]")
p.set_cutoff(cutoff=800)
p.set_mateorientation(mateorientation="+-")
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
folder, ecoli = args
ecoli = get_abs_path(ecoli)
tag = "--mapped" if opts.mapped else "--unmapped"
for p, pf in iter_project(folder, 2):
align_opts = [ecoli] + p + [tag]
align_opts += ["--cutoff={0}".format(opts.cutoff), "--null"]
if opts.mateorientation:
align_opts += ["--mateorientation={0}".format(opts.mateorientation)]
samfile, logfile = align(align_opts)
def pairs(args):
"""
%prog pairs folder reference.fasta
Estimate insert size distribution. Compatible with a variety of aligners,
including CLC, BOWTIE and BWA.
"""
p = OptionParser(pairs.__doc__)
p.set_firstN()
p.set_mates()
p.set_aligner()
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
cwd = os.getcwd()
aligner = opts.aligner
work = "-".join(("pairs", aligner))
mkdir(work)
if aligner == "clc":
from jcvi.apps.clc import align
from jcvi.formats.cas import pairs as ps
else:
from jcvi.formats.sam import pairs as ps
if aligner == "bowtie":
from jcvi.apps.bowtie import align
elif aligner == "bwa":
from jcvi.apps.bwa import align
folder, ref = args
ref = get_abs_path(ref)
messages = []
for p, prefix in iter_project(folder, 2):
samplefq = op.join(work, prefix + ".first.fastq")
first([str(opts.firstN)] + p + ["-o", samplefq])
os.chdir(work)
align_args = [ref, op.basename(samplefq)]
outfile, logfile = align(align_args)
bedfile, stats = ps([outfile, "--rclip={0}".format(opts.rclip)])
os.chdir(cwd)
median = stats.median
tag = "MP" if median > 1000 else "PE"
median = str(median)
pf, sf = median[:2], median[2:]
if sf and int(sf) != 0:
pf = str(int(pf) + 1) # Get the first two effective digits
lib = "{0}-{1}".format(tag, pf + "0" * len(sf))
for i, xp in enumerate(p):
suffix = "fastq.gz" if xp.endswith(".gz") else "fastq"
link = "{0}-{1}.{2}.{3}".format(lib, prefix.replace("-", ""), i + 1, suffix)
m = "\t".join(str(x) for x in (xp, link))
messages.append(m)
messages = "\n".join(messages)
write_file("f.meta", messages, tee=True)
def pairs(args):
"""
%prog pairs folder reference.fasta
Estimate insert size distribution. Compatible with a variety of aligners,
including BOWTIE and BWA.
"""
p = OptionParser(pairs.__doc__)
p.set_firstN()
p.set_mates()
p.set_aligner()
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
cwd = os.getcwd()
aligner = opts.aligner
work = "-".join(("pairs", aligner))
mkdir(work)
from jcvi.formats.sam import pairs as ps
if aligner == "bowtie":
from jcvi.apps.bowtie import align
elif aligner == "bwa":
from jcvi.apps.bwa import align
folder, ref = args
ref = get_abs_path(ref)
messages = []
for p, prefix in iter_project(folder):
samplefq = []
for i in range(2):
samplefq.append(
op.join(work, prefix + "_{0}.first.fastq".format(i + 1)))
first([str(opts.firstN)] + [p[i]] + ["-o", samplefq[i]])
os.chdir(work)
align_args = [ref] + [op.basename(fq) for fq in samplefq]
outfile, logfile = align(align_args)
bedfile, stats = ps([outfile, "--rclip={0}".format(opts.rclip)])
os.chdir(cwd)
median = stats.median
tag = "MP" if median > 1000 else "PE"
median = str(median)
pf, sf = median[:2], median[2:]
if sf and int(sf) != 0:
pf = str(int(pf) + 1) # Get the first two effective digits
lib = "{0}-{1}".format(tag, pf + "0" * len(sf))
for i, xp in enumerate(p):
suffix = "fastq.gz" if xp.endswith(".gz") else "fastq"
link = "{0}-{1}.{2}.{3}".format(lib, prefix.replace("-", ""),
i + 1, suffix)
m = "\t".join(str(x) for x in (xp, link))
messages.append(m)
messages = "\n".join(messages)
write_file("f.meta", messages, tee=True)
def contamination(args):
"""
%prog contamination Ecoli.fasta genome.fasta read.fastq
Check read contamination on a folder of paired reads. Use bowtie2 to compare
the reads against:
1. Ecoli.fsata - this will tell us the lower bound of contamination
2. genome.fasta - this will tell us the upper bound of contamination
"""
from jcvi.apps.bowtie import BowtieLogFile, align
p = OptionParser(contamination.__doc__)
p.set_firstN()
opts, args = p.parse_args(args)
if len(args) != 3:
sys.exit(not p.print_help())
ecoli, genome, fq = args
firstN_opt = "--firstN={0}".format(opts.firstN)
samfile, logfile = align([ecoli, fq, firstN_opt])
bl = BowtieLogFile(logfile)
lowerbound = bl.rate
samfile, logfile = align([genome, fq, firstN_opt])
bl = BowtieLogFile(logfile)
upperbound = 100 - bl.rate
median = (lowerbound + upperbound) / 2
clogfile = fq + ".Ecoli"
fw = open(clogfile, "w")
lowerbound = "{0:.1f}".format(lowerbound)
upperbound = "{0:.1f}".format(upperbound)
median = "{0:.1f}".format(median)
print >> fw, "\t".join((fq, lowerbound, median, upperbound))
print >> sys.stderr, "{0}: Ecoli contamination rate {1}-{2}".\
format(fq, lowerbound, upperbound)
fw.close()
def contamination(args):
"""
%prog contamination Ecoli.fasta genome.fasta read.fastq
Check read contamination on a folder of paired reads. Use bowtie2 to compare
the reads against:
1. Ecoli.fsata - this will tell us the lower bound of contamination
2. genome.fasta - this will tell us the upper bound of contamination
"""
from jcvi.apps.bowtie import BowtieLogFile, align
p = OptionParser(contamination.__doc__)
p.set_firstN()
opts, args = p.parse_args(args)
if len(args) != 3:
sys.exit(not p.print_help())
ecoli, genome, fq = args
firstN_opt = "--firstN={0}".format(opts.firstN)
samfile, logfile = align([ecoli, fq, firstN_opt])
bl = BowtieLogFile(logfile)
lowerbound = bl.rate
samfile, logfile = align([genome, fq, firstN_opt])
bl = BowtieLogFile(logfile)
upperbound = 100 - bl.rate
median = (lowerbound + upperbound) / 2
clogfile = fq + ".Ecoli"
fw = open(clogfile, "w")
lowerbound = "{0:.1f}".format(lowerbound)
upperbound = "{0:.1f}".format(upperbound)
median = "{0:.1f}".format(median)
print >> fw, "\t".join((fq, lowerbound, median, upperbound))
print >> sys.stderr, "{0}: Ecoli contamination rate {1}-{2}".\
format(fq, lowerbound, upperbound)
fw.close()
def expand(args):
"""
%prog expand bes.fasta reads.fastq
Expand sequences using short reads. Useful, for example for getting BAC-end
sequences. The template to use, in `bes.fasta` may just contain the junction
sequences, then align the reads to get the 'flanks' for such sequences.
"""
import math
from jcvi.formats.fasta import Fasta, SeqIO
from jcvi.formats.fastq import readlen, first, fasta
from jcvi.formats.blast import Blast
from jcvi.formats.base import FileShredder
from jcvi.apps.bowtie import align, get_samfile
from jcvi.apps.align import blast
p = OptionParser(expand.__doc__)
p.set_depth(depth=200)
p.set_firstN()
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
bes, reads = args
size = Fasta(bes).totalsize
rl = readlen([reads])
expected_size = size + 2 * rl
nreads = expected_size * opts.depth / rl
nreads = int(math.ceil(nreads / 1000.)) * 1000
# Attract reads
samfile, logfile = align([bes, reads, "--reorder", "--mapped",
"--firstN={0}".format(opts.firstN)])
samfile, mapped, _ = get_samfile(reads, bes, bowtie=True, mapped=True)
logging.debug("Extract first {0} reads from `{1}`.".format(nreads, mapped))
pf = mapped.split(".")[0]
pf = pf.split("-")[0]
bespf = bes.split(".")[0]
reads = pf + ".expand.fastq"
first([str(nreads), mapped, "-o", reads])
# Perform mini-assembly
fastafile = reads.rsplit(".", 1)[0] + ".fasta"
qualfile = ""
if need_update(reads, fastafile):
fastafile, qualfile = fasta([reads])
contigs = op.join(pf, "454LargeContigs.fna")
if need_update(fastafile, contigs):
cmd = "runAssembly -o {0} -cpu 8 {1}".format(pf, fastafile)
sh(cmd)
assert op.exists(contigs)
# Annotate contigs
blastfile = blast([bes, contigs])
mapping = {}
for query, b in Blast(blastfile).iter_best_hit():
mapping[query] = b
f = Fasta(contigs, lazy=True)
annotatedfasta = ".".join((pf, bespf, "fasta"))
fw = open(annotatedfasta, "w")
keys = list(Fasta(bes).iterkeys_ordered()) # keep an ordered list
recs = []
for key, v in f.iteritems_ordered():
vid = v.id
if vid not in mapping:
continue
b = mapping[vid]
subject = b.subject
rec = v.reverse_complement() if b.orientation == '-' else v
rec.id = rid = "_".join((pf, vid, subject))
rec.description = ""
recs.append((keys.index(subject), rid, rec))
recs = [x[-1] for x in sorted(recs)]
SeqIO.write(recs, fw, "fasta")
fw.close()
FileShredder([samfile, logfile, mapped, reads, fastafile, qualfile, blastfile, pf])
logging.debug("Annotated seqs (n={0}) written to `{1}`.".\
format(len(recs), annotatedfasta))
return annotatedfasta
def expand(args):
"""
%prog expand bes.fasta reads.fastq
Expand sequences using short reads. Useful, for example for getting BAC-end
sequences. The template to use, in `bes.fasta` may just contain the junction
sequences, then align the reads to get the 'flanks' for such sequences.
"""
import math
from jcvi.formats.fasta import Fasta, SeqIO
from jcvi.formats.fastq import readlen, first, fasta
from jcvi.formats.blast import Blast
from jcvi.formats.base import FileShredder
from jcvi.apps.bowtie import align, get_samfile
from jcvi.apps.align import blast
p = OptionParser(expand.__doc__)
p.set_depth(depth=200)
p.set_firstN()
opts, args = p.parse_args(args)
if len(args) != 2:
sys.exit(not p.print_help())
bes, reads = args
size = Fasta(bes).totalsize
rl = readlen([reads])
expected_size = size + 2 * rl
nreads = expected_size * opts.depth / rl
nreads = int(math.ceil(nreads / 1000.)) * 1000
# Attract reads
samfile, logfile = align([bes, reads, "--reorder", "--mapped",
"--firstN={0}".format(opts.firstN)])
samfile, mapped, _ = get_samfile(reads, bes, bowtie=True, mapped=True)
logging.debug("Extract first {0} reads from `{1}`.".format(nreads, mapped))
pf = mapped.split(".")[0]
pf = pf.split("-")[0]
bespf = bes.split(".")[0]
reads = pf + ".expand.fastq"
first([str(nreads), mapped, "-o", reads])
# Perform mini-assembly
fastafile = reads.rsplit(".", 1)[0] + ".fasta"
qualfile = ""
if need_update(reads, fastafile):
fastafile, qualfile = fasta([reads])
contigs = op.join(pf, "454LargeContigs.fna")
if need_update(fastafile, contigs):
cmd = "runAssembly -o {0} -cpu 8 {1}".format(pf, fastafile)
sh(cmd)
assert op.exists(contigs)
# Annotate contigs
blastfile = blast([bes, contigs])
mapping = {}
for query, b in Blast(blastfile).iter_best_hit():
mapping[query] = b
f = Fasta(contigs, lazy=True)
annotatedfasta = ".".join((pf, bespf, "fasta"))
fw = open(annotatedfasta, "w")
keys = list(Fasta(bes).iterkeys_ordered()) # keep an ordered list
recs = []
for key, v in f.iteritems_ordered():
vid = v.id
if vid not in mapping:
continue
b = mapping[vid]
subject = b.subject
rec = v.reverse_complement() if b.orientation == '-' else v
rec.id = rid = "_".join((pf, vid, subject))
rec.description = ""
recs.append((keys.index(subject), rid, rec))
recs = [x[-1] for x in sorted(recs)]
SeqIO.write(recs, fw, "fasta")
fw.close()
FileShredder([samfile, logfile, mapped, reads, fastafile, qualfile, blastfile, pf])
logging.debug("Annotated seqs (n={0}) written to `{1}`.".\
format(len(recs), annotatedfasta))
return annotatedfasta
