def _convert_file(gff, args):
sep = "\t"
precursors = fasta.read_precursor(args.hairpin, args.sps)
matures = mapper.read_gtf_to_precursor(args.gtf)
variant_header = sep.join(['mism', 'add', 't5', 't3'])
gff_file = open(gff, 'r')
out_file = os.path.join(args.out, "%s_rawData.tsv" % os.path.splitext(os.path.basename(gff))[0])
missing_parent = 0
missing_mirna = 0
unvalid_uid = 0
with open(out_file, 'w') as outh:
for samples_line in gff_file:
if samples_line.startswith("## COLDATA:"):
samples = sep.join(samples_line.strip().split("COLDATA:")[1].strip().split(","))
header = sep.join(['seq', 'mir',
variant_header, samples])
print(header, file=outh)
break
for mirna_line in gff_file:
gff = feature(mirna_line)
attr = gff.attributes
UID = attr["UID"]
Read = attr["Read"]
mirna = attr["Name"]
parent = attr["Parent"]
variant = attr["Variant"]
try:
Read = read_id(UID)
except KeyError:
unvalid_uid += 1
continue
expression = sep.join(attr["Expression"].strip().split(","))
cols_variants = sep.join(_expand(variant))
logger.debug("COUNTS::Read:%s" % Read)
logger.debug("COUNTS::EXTRA:%s" % variant)
if parent not in precursors:
missing_parent += 1
continue
if mirna not in matures[parent]:
missing_mirna += 1
continue
extra = variant_with_nt(mirna_line, precursors, matures)
if extra == "Invalid":
continue
logger.debug("COUNTS::EXTRA:%s" % extra)
cols_variants = sep.join(_expand(extra, True))
summary = sep.join([Read, mirna,
cols_variants, expression])
logger.debug(summary)
print(summary, file=outh)
gff_file.close()
logger.info("Missing Parents in hairpin file: %s" % missing_parent)
logger.info("Missing MiRNAs in GFF file: %s" % missing_mirna)
logger.info("Non valid UID: %s" % unvalid_uid)
logger.info("Output file is at %s" % out_file)
def read_file(fn, args):
"""
Read OptimiR file and convert to mirtop GFF format.
Args:
*fn(str)*: file name with isomiR-SEA output information.
*database(str)*: database name.
*args(namedtuple)*: arguments from command line.
See *mirtop.libs.parse.add_subparser_gff()*.
Returns:
*reads (nested dicts)*:gff_list has the format as
defined in *mirtop.gff.body.read()*.
"""
database = args.database
gtf = args.gtf
sep = " " if args.out_format == "gtf" else "="
sample = read_samples(fn)
reads = defaultdict(dict)
logger.debug("OPTIMIR::SAMPLE::%s" % sample)
with open(fn) as handle:
for line in handle:
gff = feature(line)
fixed_line = line
if gff.columns:
if "Variant" not in gff.attributes:
gff.attributes["Variant"] = "NA"
logger.debug("OPTIMIR::Chrom update from %s to %s" %
(gff.columns["chrom"], gff.attributes["Parent"]))
gff.columns["chrom"] = gff.attributes["Parent"].split(",")[0]
fixed_line = gff.paste_columns(sep=sep)
if args.add_extra:
extra = variant_with_nt(fixed_line, args.precursors,
args.matures)
fixed_line = "%s Changes %s;" % (fixed_line, extra)
fixed_line = paste_columns(feature(fixed_line), sep=sep)
counts = gff.attributes["Expression"].split(",")
chrom = gff.columns["chrom"]
start = gff.columns["start"]
if start not in reads[chrom]:
reads[chrom][start] = []
reads[chrom][start].append([
gff.attributes["UID"], gff.columns["chrom"], counts,
sample, fixed_line
])
return reads
def read_file(fn, args):
"""
Read isomiR-SEA file and convert to mirtop GFF format.
Args:
*fn(str)*: file name with isomiR-SEA output information.
*database(str)*: database name.
*args(namedtuple)*: arguments from command line.
See *mirtop.libs.parse.add_subparser_gff()*.
Returns:
*reads (nested dicts)*:gff_list has the format as
defined in *mirtop.gff.body.read()*.
"""
database = args.database
gtf = args.gtf
sep = " " if args.out_format == "gtf" else "="
map_mir = mapper.read_gtf_to_mirna(gtf)
reads = defaultdict(dict)
reads_in = 0
sample = os.path.splitext(os.path.basename(fn))[0]
hits = _get_hits(fn)
logger.debug("ISOMIRSEA::SAMPLE::%s" % sample)
with open(fn) as handle:
for line in handle:
cols = line.strip().split("\t")
attr = read_attributes(line, "=")
query_name = attr['TS']
query_sequence = attr['TS'].replace("U", "T")
start = int(cols[3])
end = int(cols[4])
isomirseq_iso = attr['ISO']
if query_name not in reads and query_sequence == None:
continue
if query_sequence and query_sequence.find("N") > -1:
continue
counts = attr["TC"]
chrom = cols[0]
# logger.debug("SEQBUSTER:: cigar {cigar}".format(**locals()))
cigar = attr['CI'].replace("U", "T")
idu = make_id(query_sequence)
isoformat = cigar2variants(cigar, query_sequence, attr['ISO'])
logger.debug("\nISOMIRSEA::NEW::query: {query_sequence}\n"
" precursor {chrom}\n"
" name: {query_name}\n"
" idu: {idu}\n"
" start: {start}\n"
" cigar: {cigar}\n"
" iso: {isoformat}\n"
" variant: {isoformat}".format(**locals()))
source = "isomiR" if isoformat != "NA" else "ref_miRNA"
strand = "+"
database = cols[1]
mirName = attr['MIN'].split()[0]
preName = attr['PIN'].split()[0]
score = "."
Filter = attr['FILTER']
isotag = attr['ISO']
tchrom, tstart = _genomic2transcript(map_mir[mirName], chrom,
start)
start = start if not tstart else tstart
chrom = chrom if not tstart else tchrom
end = start + len(query_sequence)
hit = hits[idu]
fields = {
'seq_name': query_sequence,
'idseq': idu,
'name': mirName,
'parent': preName,
'variant': isoformat,
'cigar': cigar,
'counts': counts,
'filter': Filter,
'hits': hit,
'chrom': chrom,
'start': start,
'end': end,
'database': database,
'source': source,
'score': score,
'strand': strand
}
# TODO: convert to genomic if args.out_genomic
line = feature(fields).line
if args.add_extra:
extra = variant_with_nt(line, args.precursors, args.matures)
line = "%s Changes %s;" % (line, extra)
line = paste_columns(feature(line), sep=sep)
if start not in reads[chrom]:
reads[chrom][start] = []
if Filter == "Pass":
reads_in += 1
reads[chrom][start].append([idu, chrom, counts, sample, line])
logger.info("Hits: %s" % reads_in)
return reads
def convert_gff_counts(args):
""" Reads a GFF file to produces output file containing Expression counts
Args:
*args(namedtuple)*: arguments parsed from command line with
*mirtop.libs.parse.add_subparser_counts()*.
Returns:
*file (file)*: with columns like:
UID miRNA Variant Sample1 Sample2 ... Sample N
"""
sep = "\t"
variant_header = sep.join(['iso_5p', 'iso_3p', 'iso_add3p', 'iso_snp'])
if args.add_extra:
precursors = fasta.read_precursor(args.hairpin, args.sps)
matures = mapper.read_gtf_to_precursor(args.gtf)
variant_header = sep.join([
variant_header, 'iso_5p_nt', 'iso_3p_nt', 'iso_add3p_nt',
'iso_snp_nt'
])
logger.info("INFO Reading GFF file %s", args.gff)
logger.info("INFO Writing TSV file to directory %s", args.out)
gff_file = open(args.gff, 'r')
out_file = op.join(args.out,
"%s.tsv" % op.splitext(op.basename(args.gff))[0])
missing_parent = 0
missing_mirna = 0
unvalid_uid = 0
with open(out_file, 'w') as outh:
for samples_line in gff_file:
if samples_line.startswith("## COLDATA:"):
samples = sep.join(samples_line.strip().split("COLDATA:")
[1].strip().split(","))
header = sep.join([
'UID', 'Read', 'miRNA', 'Variant', variant_header, samples
])
print(header, file=outh)
break
for mirna_line in gff_file:
gff = feature(mirna_line)
attr = gff.attributes
UID = attr["UID"]
Read = attr["Read"]
mirna = attr["Name"]
parent = attr["Parent"]
variant = attr["Variant"]
try:
read_id(UID)
except KeyError:
unvalid_uid += 1
continue
expression = sep.join(attr["Expression"].strip().split(","))
cols_variants = sep.join(_expand(variant))
logger.debug("COUNTS::Read:%s" % Read)
logger.debug("COUNTS::EXTRA:%s" % variant)
if args.add_extra:
if parent not in precursors:
missing_parent += 1
continue
if mirna not in matures[parent]:
missing_mirna += 1
continue
extra = variant_with_nt(mirna_line, precursors, matures)
if extra == "Invalid":
continue
logger.debug("COUNTS::EXTRA:%s" % extra)
cols_variants = sep.join([cols_variants] +
_expand(extra, True))
summary = sep.join(
[UID, Read, mirna, variant, cols_variants, expression])
logger.debug(summary)
print(summary, file=outh)
gff_file.close()
logger.info("Missing Parents in hairpin file: %s" % missing_parent)
logger.info("Missing MiRNAs in GFF file: %s" % missing_mirna)
logger.info("Non valid UID: %s" % unvalid_uid)
logger.info("Output file is at %s" % out_file)
def read_file(folder, args):
"""
Read sRNAbench file and convert to mirtop GFF format.
Args:
*fn(str)*: file name with sRNAbench output information.
*database(str)*: database name.
*args(namedtuple)*: arguments from command line.
See *mirtop.libs.parse.add_subparser_gff()*.
Returns:
*reads (nested dicts)*:gff_list has the format as
defined in *mirtop.gff.body.read()*.
"""
reads_anno = os.path.join(folder, "reads.annotation")
reads_iso = os.path.join(folder, "microRNAannotation.txt")
sep = " " if args.out_format == "gtf" else "="
sample = os.path.basename(folder)
database = args.database
precursors = args.precursors
matures = args.matures
n_out = 0
n_in = 0
n_ns = 0
n_notassign = 0
n_notindb = 0
reads = defaultdict(dict)
seen = set()
source_iso = _read_iso(reads_iso)
logger.info("Reads with isomiR information %s" % len(source_iso))
with open(reads_anno) as handle:
for sequence in handle:
cols = sequence.strip().split("\t")
query_name = cols[0]
query_sequence = cols[0]
if query_name not in reads and not query_sequence:
continue
if query_sequence and query_sequence.find("N") > -1:
n_ns += 1
continue
if cols[3].find("mature") == -1:
n_in += 1
continue
counts = int(cols[1])
hits = len(
set([mirna.split("#")[1] for mirna in cols[4].split("$")]))
for nhit in cols[4].split("$"):
logger.debug("SRNABENCH::line hit: %s" % nhit)
hit_info = nhit.split("#")
pos_info = hit_info[3].split(",")
start = int(pos_info[1]) - 1
end = start + len(query_sequence) # int(pos_info[2]) - 1
chrom = pos_info[0]
mirName = hit_info[1]
if chrom not in precursors or chrom not in matures:
n_notindb += 1
if mirName not in matures[chrom]:
n_notindb += 1
if (query_sequence, mirName) in seen:
continue
seen.add((query_sequence, mirName))
if (query_sequence, mirName) not in source_iso:
continue
isoformat = source_iso[(query_sequence, mirName)]
if isoformat == "mv":
n_notassign += 1
continue
source = "isomiR" if isoformat != "NA" else "ref_miRNA"
logger.debug("SRNABENCH::query: {query_sequence}\n"
" precursor {chrom}\n"
" name: {query_name}\n"
" start: {start}\n"
" external: {isoformat}\n"
" hit: {hits}".format(**locals()))
logger.debug("SRNABENCH:: start %s end %s" % (start, end))
if len(precursors[chrom]) < start + len(query_sequence):
n_out += 1
continue
Filter = "Pass"
cigar = make_cigar(query_sequence,
precursors[chrom][start:end])
preName = chrom
score = "."
strand = "+"
idu = make_id(query_sequence)
# attrb = ("Read {query_sequence}; UID {idu}; Name {mirName};"
# " Parent {preName}; Variant {isoformat};"
# " Cigar {cigar}; Expression {counts};"
# " Filter {Filter}; Hits {hits};").format(**locals())
# line = ("{chrom}\t{database}\t{source}\t{start}\t{end}\t"
# "{score}\t{strand}\t.\t{attrb}").format(**locals())
fields = {
'seq_name': query_sequence,
'idseq': idu,
'name': mirName,
'parent': preName,
'variant': isoformat,
'cigar': cigar,
'counts': counts,
'filter': Filter,
'hits': hits,
'chrom': chrom,
'start': start,
'end': end,
'database': database,
'source': source,
'score': score,
'strand': strand
}
# TODO: convert to genomic if args.out_genomic
line = feature(fields).line
if args.add_extra:
extra = variant_with_nt(line, args.precursors,
args.matures)
line = "%s Changes %s;" % (line, extra)
line = paste_columns(feature(line), sep=sep)
if start not in reads[chrom]:
reads[chrom][start] = []
if Filter == "Pass":
n_in += 1
reads[chrom][start].append(
[idu, chrom, counts, sample, line])
logger.info("Loaded %s reads with %s hits" % (len(reads), n_in))
logger.info("Reads without precursor information: %s" % n_notindb)
logger.info("Reads with MV as variant definition,"
" not supported by GFF: %s" % n_notassign)
logger.info("Hit Filtered by having > 3 changes: %s" % n_out)
return reads
def _analyze_line(line, precursors, database, sample, sep, args):
start_idx = 10
end_idx = 11
attr_idx = 15
query_name = line[3]
sequence = line[4]
if str(line).find(get_primary_transcript(guess_database(args))) < 0: # only working with mirbase
return None
logger.debug(("READ::line name:{0}").format(line))
if sequence and sequence.find("N") > -1:
return None
chrom = line[attr_idx].strip().split("Name=")[-1]
start = line[1]
end = line[2]
strand = line[5]
counts = float(line[6])
Filter = "Pass"
reads = dict()
if not start:
return None
if strand == "+":
start = int(start) - int(line[start_idx]) + 1
else:
start = int(line[end_idx]) - int(end)
iso = isomir()
iso.align = line
iso.set_pos(start, len(sequence))
logger.debug("READ::From BAM start %s end %s at chrom %s" % (iso.start, iso.end, chrom))
if len(precursors[chrom]) < start + len(sequence):
logger.debug("READ::%s start + %s sequence size are bigger than"
" size precursor %s" % (
chrom,
len(sequence),
len(precursors[chrom])))
iso.subs, iso.add, iso.cigar = filter.tune(
sequence, precursors[chrom],
start, None)
logger.debug("READ::After tune start %s end %s" % (iso.start, iso.end))
logger.debug("READ::iso add %s iso subs %s" % (iso.add, iso.subs))
idu = make_id(sequence)
reads[query_name] = hits()
reads[query_name].set_sequence(sequence)
reads[query_name].counts = counts
reads[query_name].sequence = sequence
reads[query_name].set_precursor(chrom, iso)
reads = annotate(reads, args.matures, args.precursors, quiet=True)
gff_line = body.create(reads, args.database, sample, args, quiet=True)
if start not in gff_line[chrom]:
return None
line = gff_line[chrom][start][0][4]
logger.debug("READ::line:%s" % line)
if args.add_extra:
extra = variant_with_nt(line, args.precursors,
args.matures)
line = "%s Changes %s;" % (line, extra)
line = paste_columns(feature(line), sep=sep)
return {'chrom': chrom,
'start': start,
'name': query_name,
'mirna': reads[query_name].precursors[chrom].mirna,
'line': [idu, chrom, counts, sample, line]}
def convert_gff_counts(args):
""" Reads a GFF file to produces output file containing Expression counts
Args:
*args(namedtuple)*: arguments parsed from command line with
*mirtop.libs.parse.add_subparser_counts()*.
Returns:
*file (file)*: with columns like:
UID miRNA Variant Sample1 Sample2 ... Sample N
"""
sep = "\t"
variant_header = sep.join(['iso_5p', 'iso_3p',
'iso_add', 'iso_snp'])
if args.add_extra:
precursors = fasta.read_precursor(args.hairpin, args.sps)
matures = mapper.read_gtf_to_precursor(args.gtf)
variant_header = sep.join([variant_header,
'iso_5p_nt', 'iso_3p_nt',
'iso_add_nt', 'iso_snp_nt'])
logger.info("INFO Reading GFF file %s", args.gff)
logger.info("INFO Writing TSV file to directory %s", args.out)
gff_file = open(args.gff, 'r')
out_file = op.join(args.out, "expression_counts.tsv")
missing_parent = 0
missing_mirna = 0
unvalid_uid = 0
with open(out_file, 'w') as outh:
for samples_line in gff_file:
if samples_line.startswith("## COLDATA:"):
samples = sep.join(samples_line.strip().split("COLDATA:")[1].strip().split(","))
header = sep.join(['UID', 'Read', 'miRNA', 'Variant',
variant_header, samples])
print(header, file=outh)
break
for mirna_line in gff_file:
mirna_values = read_gff_line(mirna_line)
Read = mirna_values["attrb"]["Read"]
UID = mirna_values["attrb"]["UID"]
mirna = mirna_values["attrb"]["Name"]
parent = mirna_values["attrb"]["Parent"]
variant = mirna_values["attrb"]["Variant"]
try:
read_id(UID)
except KeyError:
unvalid_uid += 1
continue
expression = sep.join(mirna_values["attrb"]["Expression"].strip().split(","))
cols_variants = sep.join(_expand(variant))
logger.debug("COUNTS::Read:%s" % Read)
logger.debug("COUNTS::EXTRA:%s" % variant)
if args.add_extra:
if parent not in precursors:
missing_parent += 1
continue
if mirna not in matures[parent]:
missing_mirna += 1
continue
extra = variant_with_nt(mirna_line, precursors, matures)
if extra == "Invalid":
continue
logger.debug("COUNTS::EXTRA:%s" % extra)
cols_variants = sep.join([cols_variants] + _expand(extra, True))
summary = sep.join([UID, Read, mirna, variant,
cols_variants, expression])
logger.debug(summary)
print(summary, file=outh)
gff_file.close()
logger.info("Missing Parents in hairpin file: %s" % missing_parent)
logger.info("Missing MiRNAs in GFF file: %s" % missing_mirna)
logger.info("Non valid UID: %s" % unvalid_uid)
logger.info("Output file is at %s" % out_file)
def read_file(fn, args):
"""
Read isomiR-SEA file and convert to mirtop GFF format.
Args:
*fn(str)*: file name with isomiR-SEA output information.
*database(str)*: database name.
*args(namedtuple)*: arguments from command line.
See *mirtop.libs.parse.add_subparser_gff()*.
Returns:
*reads (nested dicts)*:gff_list has the format as
defined in *mirtop.gff.body.read()*.
"""
database = args.database
gtf = args.gtf
sep = " " if args.out_format == "gtf" else "="
map_mir = mapper.read_gtf_to_mirna(gtf)
reads = defaultdict(dict)
reads_in = 0
sample = os.path.splitext(os.path.basename(fn))[0]
hits = _get_hits(fn)
logger.debug("ISOMIRSEA::SAMPLE::%s" % sample)
with open(fn) as handle:
for line in handle:
cols = line.strip().split("\t")
attr = read_attributes(line, "=")
query_name = attr['TS']
query_sequence = attr['TS'].replace("U", "T")
start = int(cols[3])
end = int(cols[4])
isomirseq_iso = attr['ISO']
if query_name not in reads and query_sequence == None:
continue
if query_sequence and query_sequence.find("N") > -1:
continue
counts = attr["TC"]
chrom = cols[0]
# logger.debug("SEQBUSTER:: cigar {cigar}".format(**locals()))
cigar = attr['CI'].replace("U", "T")
idu = make_id(query_sequence)
isoformat = cigar2variants(cigar, query_sequence, attr['ISO'])
logger.debug("\nISOMIRSEA::NEW::query: {query_sequence}\n"
" precursor {chrom}\n"
" name: {query_name}\n"
" idu: {idu}\n"
" start: {start}\n"
" cigar: {cigar}\n"
" iso: {isoformat}\n"
" variant: {isoformat}".format(**locals()))
source = "isomiR" if isoformat != "NA" else "ref_miRNA"
strand = "+"
database = cols[1]
mirName = attr['MIN'].split()[0]
preName = attr['PIN'].split()[0]
score = "."
Filter = attr['FILTER']
isotag = attr['ISO']
tchrom, tstart = _genomic2transcript(map_mir[mirName],
chrom, start)
start = start if not tstart else tstart
chrom = chrom if not tstart else tchrom
end = start + len(query_sequence)
hit = hits[idu]
attrb = ("Read {query_sequence}; UID {idu}; Name {mirName};"
" Parent {preName}; Variant {isoformat};"
" Isocode {isotag}; Cigar {cigar}; Expression {counts};"
" Filter {Filter}; Hits {hit};").format(**locals())
line = ("{chrom}\t{database}\t{source}\t{start}\t{end}\t"
"{score}\t{strand}\t.\t{attrb}").format(**locals())
if args.add_extra:
extra = variant_with_nt(line, args.precursors, args.matures)
line = "%s Changes %s;" % (line, extra)
line = paste_columns(read_gff_line(line), sep=sep)
if start not in reads[chrom]:
reads[chrom][start] = []
if Filter == "Pass":
reads_in += 1
reads[chrom][start].append([idu, chrom, counts, sample, line])
logger.info("Hits: %s" % reads_in)
return reads
def read_file(folder, args):
"""
Read sRNAbench file and convert to mirtop GFF format.
Args:
*fn(str)*: file name with sRNAbench output information.
*database(str)*: database name.
*args(namedtuple)*: arguments from command line.
See *mirtop.libs.parse.add_subparser_gff()*.
Returns:
*reads (nested dicts)*:gff_list has the format as
defined in *mirtop.gff.body.read()*.
"""
reads_anno = os.path.join(folder, "reads.annotation")
reads_iso = os.path.join(folder, "microRNAannotation.txt")
sep = " " if args.out_format == "gtf" else "="
sample = os.path.basename(folder)
database = args.database
precursors = args.precursors
matures = args.matures
n_out = 0
n_in = 0
n_ns = 0
n_notassign = 0
n_notindb = 0
reads = defaultdict(dict)
seen = set()
source_iso = _read_iso(reads_iso)
logger.info("Reads with isomiR information %s" % len(source_iso))
with open(reads_anno) as handle:
for sequence in handle:
cols = sequence.strip().split("\t")
query_name = cols[0]
query_sequence = cols[0]
if query_name not in reads and not query_sequence:
continue
if query_sequence and query_sequence.find("N") > -1:
n_ns += 1
continue
if cols[3].find("mature") == -1:
n_in += 1
continue
counts = int(cols[1])
hit = len(set([mirna.split("#")[1] for mirna in cols[4].split("$")]))
for nhit in cols[4].split("$"):
logger.debug("SRNABENCH::line hit: %s" % nhit)
hit_info = nhit.split("#")
pos_info = hit_info[3].split(",")
start = int(pos_info[1]) - 1
end = start + len(query_sequence) # int(pos_info[2]) - 1
chrom = pos_info[0]
mirName = hit_info[1]
if chrom not in precursors or chrom not in matures:
n_notindb += 1
if mirName not in matures[chrom]:
n_notindb += 1
if (query_sequence, mirName) in seen:
continue
seen.add((query_sequence, mirName))
if (query_sequence, mirName) not in source_iso:
continue
isoformat = source_iso[(query_sequence, mirName)]
if isoformat == "mv":
n_notassign += 1
continue
source = "isomiR" if isoformat != "NA" else "ref_miRNA"
logger.debug("SRNABENCH::query: {query_sequence}\n"
" precursor {chrom}\n"
" name: {query_name}\n"
" start: {start}\n"
" external: {isoformat}\n"
" hit: {hit}".format(**locals()))
logger.debug("SRNABENCH:: start %s end %s" % (start, end))
if len(precursors[chrom]) < start + len(query_sequence):
n_out += 1
continue
Filter = "Pass"
cigar = make_cigar(query_sequence,
precursors[chrom][start:end])
preName = chrom
score = "."
strand = "+"
idu = make_id(query_sequence)
attrb = ("Read {query_sequence}; UID {idu}; Name {mirName};"
" Parent {preName}; Variant {isoformat};"
" Cigar {cigar}; Expression {counts};"
" Filter {Filter}; Hits {hit};").format(**locals())
line = ("{chrom}\t{database}\t{source}\t{start}\t{end}\t"
"{score}\t{strand}\t.\t{attrb}").format(**locals())
if args.add_extra:
extra = variant_with_nt(line, args.precursors,
args.matures)
line = "%s Changes %s;" % (line, extra)
line = paste_columns(read_gff_line(line), sep=sep)
if start not in reads[chrom]:
reads[chrom][start] = []
if Filter == "Pass":
n_in += 1
reads[chrom][start].append([idu, chrom, counts,
sample, line])
logger.info("Loaded %s reads with %s hits" % (len(reads), n_in))
logger.info("Reads without precursor information: %s" % n_notindb)
logger.info("Reads with MV as variant definition,"
" not supported by GFF: %s" % n_notassign)
logger.info("Hit Filtered by having > 3 changes: %s" % n_out)
return reads