def test_alignerrorregion():
ch = khmer.new_counting_hash(10, 1048576, 1)
read = "AAAAAGTTCGAAAAAGGCACG"
aligner = khmer.new_readaligner(ch, 1, 20, 11)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
ch.consume("ACTATTAAAAAAGTTCGAAAAAGGCACGGG")
graphAlign, readAlign = aligner.align(read)
assert readAlign == ''
assert graphAlign == ''
def test_alignnocov():
ch = khmer.new_counting_hash(10, 1048576, 1)
read = "ACCTAGGTTCGACATGTACC"
aligner = khmer.new_readaligner(ch)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
ch.consume("ACCTAGGTTCGACATGTACC")
graphAlign, readAlign = aligner.align(read)
# should be the same
assert readAlign == 'ACCTAGGTTCGACATGTACC'
assert graphAlign == 'ACCTAGGTTCGACATGTACC'
def test_alignnocov():
ch = khmer.new_counting_hash(10, 1048576, 1)
read = "ACCTAGGTTCGACATGTACC"
aligner = khmer.new_readaligner(ch, 0, 0)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
ch.consume("ACCTAGGTTCGACATGTACC")
score, graphAlign, readAlign, trunc = aligner.align(read)
# should be the same
eq_(readAlign, 'ACCTAGGTTCGACATGTACC')
eq_(graphAlign, 'ACCTAGGTTCGACATGTACC')
def test_alignnocov():
ch = khmer.new_counting_hash(10, 1048576, 1)
read = "ACCTAGGTTCGACATGTACC"
aligner = khmer.new_readaligner(ch, 0, 0)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
ch.consume("ACCTAGGTTCGACATGTACC")
score, graphAlign, readAlign, trunc = aligner.align(read)
# should be the same
eq_(readAlign, 'ACCTAGGTTCGACATGTACC')
eq_(graphAlign, 'ACCTAGGTTCGACATGTACC')
def test_readalign_new():
ch = khmer.new_counting_hash(32, 1048576, 1)
aligner = khmer.new_readaligner(ch, 1, 0)
for seq in ht_seqs:
ch.consume(seq)
for query in queries:
score, graphAlign, readAlign, trunc = aligner.align(query["seq"])
print graphAlign
print readAlign
eq_(graphAlign, query["graph_aln"])
eq_(readAlign, query["read_aln"])
eq_(trunc, query["truncated"])
def test_readalign_new():
ch = khmer.new_counting_hash(32, 1048576, 1)
aligner = khmer.new_readaligner(ch, 1, 0)
for seq in ht_seqs:
ch.consume(seq)
for query in queries:
score, graphAlign, readAlign, trunc = aligner.align(query["seq"])
print graphAlign
print readAlign
eq_(graphAlign, query["graph_aln"])
eq_(readAlign, query["read_aln"])
eq_(trunc, query["truncated"])
def test_readalign():
ch = khmer.new_counting_hash(10, 1048576, 1)
aligner = khmer.new_readaligner(ch, 1, 20)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
read = "ACCTAGGTTCGACATGTACC"
# ^^ ^ ^
ch.consume("GCTTTTAAAAAGGTTCGACAAAGGCCCGGG")
graphAlign, readAlign = aligner.align(read)
assert readAlign == 'ACCTAGGTTCGACATGTACC'
assert graphAlign == 'AGCTAGGTTCGACAAGT-CC', graphAlign
def test_readalign():
ch = khmer.new_counting_hash(10, 1048576, 1)
aligner = khmer.new_readaligner(ch, 1, 0)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
read = "ACCTAGGTTCGACATGTACC"
# ^^ ^ ^
ch.consume("GCTTTTAAAAAGGTTCGACAAAGGCCCGGG")
score, graphAlign, readAlign, trunc = aligner.align(read)
eq_(readAlign, 'ACCTAGGTTCGACATGTACc')
eq_(graphAlign, 'AGCTAGGTTCGACAAGTCC-')
def test_readalign():
ch = khmer.new_counting_hash(10, 1048576, 1)
aligner = khmer.new_readaligner(ch, 1, 0)
for i in range(20):
ch.consume("AGAGGGAAAGCTAGGTTCGACAAGTCCTTGACAGAT")
read = "ACCTAGGTTCGACATGTACC"
# ^^ ^ ^
ch.consume("GCTTTTAAAAAGGTTCGACAAAGGCCCGGG")
score, graphAlign, readAlign, trunc = aligner.align(read)
eq_(readAlign, 'ACCTAGGTTCGACATGTACc')
eq_(graphAlign, 'AGCTAGGTTCGACAAGTCC-')
def process_fn(record):
# read_aligner is probably not threadsafe?
aligner = khmer.new_readaligner(ht, 1, C, max_error_region)
name = record['name']
seq = record['sequence']
seq = seq.replace('N', 'A')
grXreAlign, reXgrAlign = aligner.align(seq)
if len(reXgrAlign) > 0:
graph_seq = grXreAlign.replace('-', '')
seq = graph_seq
return name, seq
def process_fn(record):
# read_aligner is probably not threadsafe?
aligner = khmer.new_readaligner(ht, 1, C, max_error_region)
name = record["name"]
seq = record["sequence"]
seq = seq.replace("N", "A")
grXreAlign, reXgrAlign = aligner.align(seq)
if len(reXgrAlign) > 0:
graph_seq = grXreAlign.replace("-", "")
seq = graph_seq
return name, seq
def process_fn(record):
# read_aligner is probably not threadsafe?
aligner = khmer.new_readaligner(ht, 1, C, max_error_region)
name = record['name']
seq = record['sequence']
seq = seq.replace('N', 'A')
grXreAlign, reXgrAlign = aligner.align(seq)
if len(reXgrAlign) > 0:
graph_seq = grXreAlign.replace('-', '')
seq = graph_seq
return name, seq
def main():
parser = build_counting_args()
parser.add_argument("--trusted-cov",
dest="trusted_cov",
type=int,
default=2)
parser.add_argument("--theta", type=float, default=1.0)
parser.add_argument("input_table")
parser.add_argument("input_filenames", nargs="+")
add_loadhash_args(parser)
args = parser.parse_args()
counting_ht = args.input_table
infiles = args.input_filenames
print >> sys.stderr, 'file with ht: %s' % counting_ht
print >> sys.stderr, 'loading hashtable'
ht = khmer.load_counting_hash(counting_ht)
K = ht.ksize()
aligner = khmer.new_readaligner(
ht, args.trusted_cov, args.theta
) # counting hash, trusted kmer coverage cutoff, bits theta (threshold value for terminating unproductive alignemnts)
### the filtering loop
for infile in infiles:
print >> sys.stderr, 'aligning', infile
for n, record in enumerate(screed.open(infile)):
name = record['name']
seq = record['sequence'].upper()
print >> sys.stderr, name
print >> sys.stderr, seq
score, graph_alignment, read_alignment, truncated = aligner.align(
seq)
print >> sys.stderr, score
print >> sys.stderr, graph_alignment
print >> sys.stderr, read_alignment
print >> sys.stderr, truncated
print ">{0}\n{1}".format(name, graph_alignment)
def main():
hash_filename = sys.argv[1]
input_filename = sys.argv[2]
output_filename = sys.argv[3]
max_error_region = int(sys.argv[4])
C = 20 # 20
corrected = 0
uncorrected = 0
outfp = open(output_filename, 'w')
ht = khmer.load_counting_hash(hash_filename)
aligner = khmer.new_readaligner(ht, 1, C, max_error_region)
K = ht.ksize()
for n, record in enumerate(screed.open(input_filename)):
if n % 1000 == 0:
print n
seq = record.sequence
seq_name = record.name
seq = seq.replace('N', 'A')
grXreAlign, reXgrAlign = aligner.align(seq)
if len(reXgrAlign) > 0:
graph_seq = grXreAlign.replace('-', '')
corrected += 1
outfp.write('>%s\n%s\n' % (seq_name, graph_seq))
else:
uncorrected += 1
outfp.write('>%s\n%s\n' % (seq_name, seq))
print 'corrected', corrected
print 'uncorrected', uncorrected
outfp.close()
def main():
parser = build_counting_args()
parser.add_argument("--trusted-cov", dest="trusted_cov", type=int, default=2)
parser.add_argument("--theta", type=float, default=1.0)
parser.add_argument("input_table")
parser.add_argument("input_filenames", nargs="+")
add_loadhash_args(parser)
args = parser.parse_args()
counting_ht = args.input_table
infiles = args.input_filenames
print >>sys.stderr, 'file with ht: %s' % counting_ht
print >>sys.stderr, 'loading hashtable'
ht = khmer.load_counting_hash(counting_ht)
K = ht.ksize()
aligner = khmer.new_readaligner(ht, args.trusted_cov, args.theta) # counting hash, trusted kmer coverage cutoff, bits theta (threshold value for terminating unproductive alignemnts)
### the filtering loop
for infile in infiles:
print >>sys.stderr, 'aligning', infile
for n, record in enumerate(screed.open(infile)):
name = record['name']
seq = record['sequence'].upper()
print >>sys.stderr, name
print >>sys.stderr, seq
score, graph_alignment, read_alignment, truncated = aligner.align(seq)
print >>sys.stderr, score
print >>sys.stderr, graph_alignment
print >>sys.stderr, read_alignment
print >>sys.stderr, truncated
print ">{0}\n{1}".format(name, graph_alignment)
def main():
parser = build_counting_args()
parser.add_argument("-t",
"--trusted-cutoff",
dest="trusted_cutoff",
type=int,
default=3)
parser.add_argument(
"--bits-theta",
help=
"Tuning parameter controlling trade off of speed vs alignment sensitivity",
default=1.0,
type=float,
dest="bits_theta")
parser.add_argument('-C',
'--cutoff',
type=int,
dest='cutoff',
default=DEFAULT_MINIMUM_COVERAGE)
parser.add_argument('-s', '--savehash', dest='savehash', default='')
parser.add_argument('-l', '--loadhash', dest='loadhash', default='')
parser.add_argument('--details-out', dest="details_out")
parser.add_argument('input_filenames', nargs='+')
args = parser.parse_args()
if not args.quiet:
print >> sys.stderr, '\nPARAMETERS:'
print >> sys.stderr, ' - kmer size = %d \t\t(-k)' % args.ksize
print >> sys.stderr, ' - n hashes = %d \t\t(-N)' % args.n_hashes
print >>sys.stderr, ' - min hashsize = %-5.2g \t(-x)' % \
args.min_hashsize
print >> sys.stderr, ''
print >>sys.stderr, 'Estimated memory usage is %.2g bytes ' \
'(n_hashes x min_hashsize)' % (
args.n_hashes * args.min_hashsize)
print >> sys.stderr, '-' * 8
K = args.ksize
HT_SIZE = args.min_hashsize
N_HT = args.n_hashes
DESIRED_COVERAGE = args.cutoff
filenames = args.input_filenames
if args.loadhash:
print 'loading hashtable from', args.loadhash
ht = khmer.load_counting_hash(args.loadhash)
else:
print 'making hashtable'
ht = khmer.new_counting_hash(K, HT_SIZE, N_HT)
aligner = khmer.new_readaligner(ht, args.trusted_cutoff, args.bits_theta)
if args.details_out != None:
details_out = open(args.details_out, "w")
else:
details_out = None
total = 0
discarded = 0
for input_filename in filenames:
output_name = os.path.basename(input_filename) + '.keepalign'
outfp = open(output_name, 'w')
for n, record in enumerate(screed.open(input_filename)):
if n > 0 and n % 10000 == 0:
print '... kept', total - discarded, 'of', total, ', or', \
int(100. - discarded / float(total) * 100.), '%'
print '... in file', input_filename
total += 1
if len(record.sequence) < K:
continue
seq = record.sequence.upper().replace('N', 'A')
##
score, graph_alignment, read_alignment, truncated = aligner.align(
record.sequence)
keep = False
if truncated:
keep = True
else:
if False:
graph_seq = graph_alignment.replace("-", "")
else:
graph_seq = ""
for i in range(len(graph_alignment)):
if graph_alignment[i] == "-":
graph_seq += read_alignment[i]
else:
graph_seq += graph_alignment[i]
mincount = ht.get_min_count(graph_seq)
keep = True
seq = graph_seq
#if mincount < DESIRED_COVERAGE:
# keep = True
# seq = graph_seq
#else:
# assert not keep
if details_out != None:
details_out.write(
"+{7}\t{0:0.2f}\t{3}\t{4}\nread: {6}\ngraph_aln: {1}\nread_aln: {2}\nstored_seq:{5}\n"
.format(score, graph_alignment, read_alignment, truncated,
keep, seq, record.sequence, record.name))
if keep:
ht.consume(seq)
outfp.write('>%s\n%s\n' % (record.name, seq))
else:
discarded += 1
print 'DONE with', input_filename, '; kept', total - discarded, 'of',\
total, 'or', int(100. - discarded / float(total) * 100.), '%'
print 'output in', output_name
if args.savehash:
print 'Saving hashfile through', input_filename
print '...saving to', args.savehash
ht.save(args.savehash)
# Change 0.2 only if you really grok it. HINT: You don't.
fp_rate = khmer.calc_expected_collisions(ht)
print 'fp rate estimated to be %1.3f' % fp_rate
if fp_rate > 0.20:
print >> sys.stderr, "**"
print >> sys.stderr, "** ERROR: the counting hash is too small for"
print >> sys.stderr, "** this data set. Increase hashsize/num ht."
print >> sys.stderr, "**"
print >> sys.stderr, "** Do not use these results!!"
sys.exit(-1)
def main():
parser = argparse.ArgumentParser(description='XXX')
env_ksize = os.environ.get('KHMER_KSIZE', DEFAULT_K)
env_n_hashes = os.environ.get('KHMER_N_HASHES', DEFAULT_N_HT)
env_hashsize = os.environ.get('KHMER_MIN_HASHSIZE', DEFAULT_MIN_HASHSIZE)
parser.add_argument('--ksize',
'-k',
type=int,
dest='ksize',
default=env_ksize,
help='k-mer size to use')
parser.add_argument('--n_hashes',
'-N',
type=int,
dest='n_hashes',
default=env_n_hashes,
help='number of hash tables to use')
parser.add_argument('--hashsize',
'-x',
type=float,
dest='min_hashsize',
default=env_hashsize,
help='lower bound on hashsize to use')
parser.add_argument("--trusted-cov",
dest="trusted_cov",
type=int,
default=DEFAULT_CUTOFF)
parser.add_argument("--theta", dest="bits_theta", type=float, default=1.0)
parser.add_argument('--normalize-to',
'-Z',
type=int,
dest='normalize_to',
help='base cutoff on median k-mer abundance of this',
default=DEFAULT_NORMALIZE_LIMIT)
parser.add_argument('--tempdir',
'-T',
type=str,
dest='tempdir',
default='./')
parser.add_argument('input_filenames', nargs='+')
args = parser.parse_args()
K = args.ksize
HT_SIZE = args.min_hashsize
N_HT = args.n_hashes
NORMALIZE_LIMIT = args.normalize_to
print 'making hashtable'
ht = khmer.new_counting_hash(K, HT_SIZE, N_HT)
aligner = khmer.new_readaligner(ht, args.trusted_cov, args.bits_theta)
tempdir = tempfile.mkdtemp('khmer', 'tmp', args.tempdir)
print 'created temporary directory %s; use -T to change location' % tempdir
###
save_pass2 = 0
n_aligned = 0
n_corrected = 0
total_reads = 0
pass2list = []
for filename in args.input_filenames:
pass2filename = os.path.basename(filename) + '.pass2'
pass2filename = os.path.join(tempdir, pass2filename)
corrfilename = os.path.basename(filename) + '.corr'
pass2list.append((filename, pass2filename, corrfilename))
pass2fp = open(pass2filename, 'w')
corrfp = open(corrfilename, 'w')
for n, read in enumerate(screed.open(filename)):
total_reads += 1
if n % 10000 == 0:
print '...', n, filename, n_aligned, n_corrected, save_pass2, \
total_reads
seq = read.sequence.replace('N', 'A')
# build the alignment...
score, graph_alignment, read_alignment, truncated = \
aligner.align(read.sequence)
# next, decide whether or to keep it.
output_corrected = False
if not truncated:
n_aligned += 1
# build a better sequence -- this is the corrected one.
if True:
graph_seq = graph_alignment.replace("-", "")
else:
graph_seq = ""
for i in range(len(graph_alignment)):
if graph_alignment[i] == "-":
graph_seq += read_alignment[i]
else:
graph_seq += graph_alignment[i]
corrected = graph_seq
if graph_seq != read.sequence:
n_corrected += 1
# get the minimum count for this new sequence
mincount = ht.get_min_count(graph_seq)
if mincount < args.normalize_to:
output_corrected = True
# has this portion of the graph saturated? if not,
# consume & save => pass2.
if output_corrected:
corrfp.write(output_single(read, corrected))
else: # uncorrected...
ht.consume(read.sequence)
pass2fp.write(output_single(read, read.sequence))
save_pass2 += 1
pass2fp.close()
corrfp.close()
print '%s: kept aside %d of %d from first pass, in %s' % \
(filename, save_pass2, n, filename)
print 'aligned %d of %d reads so far' % (n_aligned, total_reads)
print 'changed %d of %d reads so far' % (n_corrected, total_reads)
for orig_filename, pass2filename, corrfilename in pass2list:
print 'second pass: looking at sequences kept aside in %s' % \
pass2filename
for n, read in enumerate(screed.open(pass2filename)):
if n % 10000 == 0:
print '... x 2', n, pass2filename, n_aligned, n_corrected, \
total_reads
corrfp = open(corrfilename, 'a')
# build the alignment...
score, graph_alignment, read_alignment, truncated = \
aligner.align(read.sequence)
if truncated: # no good alignment; output original
corrected = read.sequence
else:
n_aligned += 1
# build a better sequence -- this is the corrected one.
if True:
graph_seq = graph_alignment.replace("-", "")
else:
graph_seq = ""
for i in range(len(graph_alignment)):
if graph_alignment[i] == "-":
graph_seq += read_alignment[i]
else:
graph_seq += graph_alignment[i]
corrected = graph_seq
if corrected != read.sequence:
n_corrected += 1
corrfp.write(output_single(read, corrected))
print 'removing %s' % pass2filename
os.unlink(pass2filename)
print 'removing temp directory & contents (%s)' % tempdir
shutil.rmtree(tempdir)
print 'Aligned %d of %d total' % (n_aligned, total_reads)
print 'Changed %d of %d total' % (n_corrected, total_reads)
def main():
parser = build_counting_args()
parser.add_argument("-t", "--trusted-cutoff", dest="trusted_cutoff", type=int, default=3)
parser.add_argument("--bits-theta", help="Tuning parameter controlling trade off of speed vs alignment sensitivity", default=1.0, type=float, dest="bits_theta")
parser.add_argument('-C', '--cutoff', type=int, dest='cutoff',
default=DEFAULT_MINIMUM_COVERAGE)
parser.add_argument('-s', '--savehash', dest='savehash', default='')
parser.add_argument('-l', '--loadhash', dest='loadhash',
default='')
parser.add_argument('--details-out', dest="details_out")
parser.add_argument('input_filenames', nargs='+')
args = parser.parse_args()
if not args.quiet:
print >>sys.stderr, '\nPARAMETERS:'
print >>sys.stderr, ' - kmer size = %d \t\t(-k)' % args.ksize
print >>sys.stderr, ' - n hashes = %d \t\t(-N)' % args.n_hashes
print >>sys.stderr, ' - min hashsize = %-5.2g \t(-x)' % \
args.min_hashsize
print >>sys.stderr, ''
print >>sys.stderr, 'Estimated memory usage is %.2g bytes ' \
'(n_hashes x min_hashsize)' % (
args.n_hashes * args.min_hashsize)
print >>sys.stderr, '-' * 8
K = args.ksize
HT_SIZE = args.min_hashsize
N_HT = args.n_hashes
DESIRED_COVERAGE = args.cutoff
filenames = args.input_filenames
if args.loadhash:
print 'loading hashtable from', args.loadhash
ht = khmer.load_counting_hash(args.loadhash)
else:
print 'making hashtable'
ht = khmer.new_counting_hash(K, HT_SIZE, N_HT)
aligner = khmer.new_readaligner(ht, args.trusted_cutoff, args.bits_theta)
if args.details_out != None:
details_out = open(args.details_out, "w")
else:
details_out = None
total = 0
discarded = 0
for input_filename in filenames:
output_name = os.path.basename(input_filename) + '.keepalign'
outfp = open(output_name, 'w')
for n, record in enumerate(screed.open(input_filename)):
if n > 0 and n % 10000 == 0:
print '... kept', total - discarded, 'of', total, ', or', \
int(100. - discarded / float(total) * 100.), '%'
print '... in file', input_filename
total += 1
if len(record.sequence) < K:
continue
seq = record.sequence.upper().replace('N', 'A')
##
score, graph_alignment, read_alignment, truncated = aligner.align(record.sequence)
keep = False
if truncated:
keep = True
else:
if False:
graph_seq = graph_alignment.replace("-", "")
else:
graph_seq = ""
for i in range(len(graph_alignment)):
if graph_alignment[i] == "-":
graph_seq += read_alignment[i]
else:
graph_seq += graph_alignment[i]
mincount = ht.get_min_count(graph_seq)
keep = True
seq = graph_seq
#if mincount < DESIRED_COVERAGE:
# keep = True
# seq = graph_seq
#else:
# assert not keep
if details_out != None:
details_out.write("+{7}\t{0:0.2f}\t{3}\t{4}\nread: {6}\ngraph_aln: {1}\nread_aln: {2}\nstored_seq:{5}\n".format(score, graph_alignment, read_alignment, truncated, keep, seq, record.sequence, record.name))
if keep:
ht.consume(seq)
outfp.write('>%s\n%s\n' % (record.name, seq))
else:
discarded += 1
print 'DONE with', input_filename, '; kept', total - discarded, 'of',\
total, 'or', int(100. - discarded / float(total) * 100.), '%'
print 'output in', output_name
if args.savehash:
print 'Saving hashfile through', input_filename
print '...saving to', args.savehash
ht.save(args.savehash)
# Change 0.2 only if you really grok it. HINT: You don't.
fp_rate = khmer.calc_expected_collisions(ht)
print 'fp rate estimated to be %1.3f' % fp_rate
if fp_rate > 0.20:
print >>sys.stderr, "**"
print >>sys.stderr, "** ERROR: the counting hash is too small for"
print >>sys.stderr, "** this data set. Increase hashsize/num ht."
print >>sys.stderr, "**"
print >>sys.stderr, "** Do not use these results!!"
sys.exit(-1)
def main():
parser = argparse.ArgumentParser(description='XXX')
env_ksize = os.environ.get('KHMER_KSIZE', DEFAULT_K)
env_n_hashes = os.environ.get('KHMER_N_HASHES', DEFAULT_N_HT)
env_hashsize = os.environ.get('KHMER_MIN_HASHSIZE', DEFAULT_MIN_HASHSIZE)
parser.add_argument('--ksize', '-k', type=int, dest='ksize',
default=env_ksize,
help='k-mer size to use')
parser.add_argument('--n_hashes', '-N', type=int, dest='n_hashes',
default=env_n_hashes,
help='number of hash tables to use')
parser.add_argument('--hashsize', '-x', type=float, dest='min_hashsize',
default=env_hashsize,
help='lower bound on hashsize to use')
parser.add_argument("--trusted-cov", dest="trusted_cov", type=int,
default=2)
parser.add_argument("--theta", dest="bits_theta", type=float, default=1.0)
parser.add_argument('--normalize-to', '-Z', type=int, dest='normalize_to',
help='base cutoff on median k-mer abundance of this',
default=DEFAULT_NORMALIZE_LIMIT)
parser.add_argument('--tempdir', '-T', type=str, dest='tempdir',
default='./')
parser.add_argument('input_filenames', nargs='+')
args = parser.parse_args()
K = args.ksize
HT_SIZE = args.min_hashsize
N_HT = args.n_hashes
NORMALIZE_LIMIT = args.normalize_to
print 'making hashtable'
ht = khmer.new_counting_hash(K, HT_SIZE, N_HT)
aligner = khmer.new_readaligner(ht, args.trusted_cov, args.bits_theta)
tempdir = tempfile.mkdtemp('khmer', 'tmp', args.tempdir)
print 'created temporary directory %s; use -T to change location' % tempdir
###
save_pass2 = 0
n_aligned = 0
n_corrected = 0
total_reads = 0
pass2list = []
for filename in args.input_filenames:
pass2filename = os.path.basename(filename) + '.pass2'
pass2filename = os.path.join(tempdir, pass2filename)
corrfilename = os.path.basename(filename) + '.corr'
pass2list.append((filename, pass2filename, corrfilename))
pass2fp = open(pass2filename, 'w')
corrfp = open(corrfilename, 'w')
for n, read in enumerate(screed.open(filename)):
total_reads += 1
if n % 10000 == 0:
print '...', n, filename, n_aligned, n_corrected, save_pass2, \
total_reads
seq = read.sequence.replace('N', 'A')
# build the alignment...
score, graph_alignment, read_alignment, truncated = \
aligner.align(read.sequence)
# next, decide whether or to keep it.
output_corrected = False
if not truncated:
n_aligned += 1
# build a better sequence -- this is the corrected one.
if True:
graph_seq = graph_alignment.replace("-", "")
else:
graph_seq = ""
for i in range(len(graph_alignment)):
if graph_alignment[i] == "-":
graph_seq += read_alignment[i]
else:
graph_seq += graph_alignment[i]
corrected = graph_seq
if graph_seq != read.sequence:
n_corrected += 1
# get the minimum count for this new sequence
mincount = ht.get_min_count(graph_seq)
if mincount < args.normalize_to:
output_corrected = True
# has this portion of the graph saturated? if not,
# consume & save => pass2.
if output_corrected:
corrfp.write(output_single(read, corrected))
else: # uncorrected...
ht.consume(read.sequence)
pass2fp.write(output_single(read, read.sequence))
save_pass2 += 1
pass2fp.close()
corrfp.close()
print '%s: kept aside %d of %d from first pass, in %s' % \
(filename, save_pass2, n, filename)
print 'aligned %d of %d reads so far' % (n_aligned, total_reads)
print 'changed %d of %d reads so far' % (n_corrected, total_reads)
for orig_filename, pass2filename, corrfilename in pass2list:
print 'second pass: looking at sequences kept aside in %s' % \
pass2filename
for n, read in enumerate(screed.open(pass2filename)):
if n % 10000 == 0:
print '... x 2', n, pass2filename, n_aligned, n_corrected, \
total_reads
corrfp = open(corrfilename, 'a')
# build the alignment...
score, graph_alignment, read_alignment, truncated = \
aligner.align(read.sequence)
if truncated: # no good alignment; output original
corrected = read.sequence
else:
n_aligned += 1
# build a better sequence -- this is the corrected one.
if True:
graph_seq = graph_alignment.replace("-", "")
else:
graph_seq = ""
for i in range(len(graph_alignment)):
if graph_alignment[i] == "-":
graph_seq += read_alignment[i]
else:
graph_seq += graph_alignment[i]
corrected = graph_seq
if corrected != read.sequence:
n_corrected += 1
corrfp.write(output_single(read, corrected))
print 'removing %s' % pass2filename
os.unlink(pass2filename)
print 'removing temp directory & contents (%s)' % tempdir
shutil.rmtree(tempdir)
print 'Aligned %d of %d total' % (n_aligned, total_reads)
print 'Changed %d of %d total' % (n_corrected, total_reads)
import math
hash_filename = sys.argv[1]
input_filename = sys.argv[2]
output_filename = sys.argv[3]
max_error_region = int(sys.argv[4])
C = 20 # 20
corrected = 0
uncorrected = 0
outfp = open(output_filename, 'w')
ht = khmer.load_counting_hash(hash_filename)
aligner = khmer.new_readaligner(ht, 1, C, max_error_region)
K = ht.ksize()
for n, record in enumerate(screed.open(input_filename)):
if n % 1000 == 0:
print n
seq = record.sequence
seq_name = record.name
seq = seq.replace('N', 'A')
grXreAlign, reXgrAlign = aligner.align(seq)
if len(reXgrAlign) > 0:
import math
hash_filename = sys.argv[1]
input_filename = sys.argv[2]
output_filename = sys.argv[3]
max_error_region = int(sys.argv[4])
C = 20 # 20
corrected = 0
uncorrected = 0
outfp = open(output_filename, "w")
ht = khmer.load_counting_hash(hash_filename)
aligner = khmer.new_readaligner(ht, 1, C, max_error_region)
K = ht.ksize()
for n, record in enumerate(screed.open(input_filename)):
if n % 1000 == 0:
print n
seq = record.sequence
seq_name = record.name
seq = seq.replace("N", "A")
grXreAlign, reXgrAlign = aligner.align(seq)
if len(reXgrAlign) > 0: