def main():
# setup logging
logging.basicConfig(
level=logging.DEBUG,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
logging.info("AssemblyLine %s" % (assemblyline.__version__))
logging.info("----------------------------------")
# parse command line
parser = argparse.ArgumentParser()
parser.add_argument('--tmp-dir',
dest="tmp_dir",
default=None,
help="directory for sort to store temp files")
parser.add_argument("input_gtf_file")
parser.add_argument("output_gtf_file")
args = parser.parse_args()
# check command line
if not os.path.exists(args.input_gtf_file):
parser.error("input gtf file %s not found" % (args.input_gtf_file))
logging.info("Parameters:")
logging.info("input gtf file: %s" % (args.input_gtf_file))
logging.info("output gtf file: %s" % (args.output_gtf_file))
logging.info("Sorting")
sort_gtf(args.input_gtf_file, args.output_gtf_file, tmp_dir=args.tmp_dir)
logging.info("Done")
return 0
def main():
# parse command line
parser = argparse.ArgumentParser()
parser.add_argument("-v", "--verbose", action="store_true",
dest="verbose", default=False)
parser.add_argument("ref_gtf_file")
parser.add_argument("gtf_file")
args = parser.parse_args()
# set logging level
if args.verbose:
level = logging.DEBUG
else:
level = logging.INFO
logging.basicConfig(level=level,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
# check command line parameters
if not os.path.exists(args.ref_gtf_file):
parser.error("GTF file %s not found" % (args.ref_gtf_file))
if not os.path.exists(args.gtf_file):
parser.error("GTF file %s not found" % (args.gtf_file))
logging.info("AssemblyLine %s" % (assemblyline.__version__))
logging.info("----------------------------------")
# show parameters
logging.info("Parameters:")
logging.info("verbose logging: %s" % (args.verbose))
logging.info("ref gtf file: %s" % (args.ref_gtf_file))
logging.info("assembly gtf file: %s" % (args.gtf_file))
# find CDS regions
if not os.path.exists('tmp.srt.gtf'):
with open('tmp.gtf', 'w') as outfileh:
logging.info("Reading CDS regions from reference GTF")
for f in get_cds_features(args.ref_gtf_file):
print >>outfileh, str(f)
logging.info("Reading transcripts from assembly GTF")
i = 0
for f in GTFFeature.parse(open(args.gtf_file)):
print >>outfileh, str(f)
i += 1
if i % 100000 == 0:
logging.debug("Parsed %d transcripts" % (i))
logging.info("Sorting GTF file")
sort_gtf('tmp.gtf', 'tmp.srt.gtf')
for locus_transcripts in parse_gtf(open('tmp.srt.gtf')):
locus_chrom = locus_transcripts[0].chrom
locus_start = locus_transcripts[0].start
locus_end = max(t.end for t in locus_transcripts)
logging.debug("[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end,
len(locus_transcripts)))
for start, end, strand, m, t, c in categorize(locus_transcripts):
fields = [locus_chrom, str(start), str(end), '%s|%s|%s' % (m,t,c), '0', strand_int_to_str(strand)]
print '\t'.join(fields)
return 0
def compare_assembly(ref_gtf_file, test_gtf_file, output_dir,
gtf_score_attr, tmp_dir):
# output files
compare_file = os.path.join(output_dir, "compare_transcripts.txt")
global_stats_file = os.path.join(output_dir, "global_stats.txt")
tmp_gtf_file = os.path.join(output_dir, "tmp.gtf")
tmp_sorted_gtf_file = os.path.splitext(tmp_gtf_file)[0] + ".srt.gtf"
# merge and sort ref/test gtf files
logging.info("Merging reference and test GTF files")
# make temporary file to store merged ref/test gtf files
outfh = open(tmp_gtf_file, "w")
logging.info("Adding reference GTF file")
add_gtf_file(ref_gtf_file, outfh, is_ref=True, sample_id=None)
logging.info("Adding test GTF file")
add_gtf_file(test_gtf_file, outfh, is_ref=False, sample_id='assembly')
outfh.close()
logging.info("Sorting merged GTF file")
sort_gtf(tmp_gtf_file, tmp_sorted_gtf_file, tmp_dir=tmp_dir)
os.remove(tmp_gtf_file)
# compare assemblies
logging.info("Comparing assemblies")
cmp_fh = open(compare_file, "w")
print >>cmp_fh, '\t'.join(map(str, MatchStats.header_fields()))
stats_obj = GlobalStats()
for locus_transcripts in parse_gtf(open(tmp_sorted_gtf_file)):
locus_chrom = locus_transcripts[0].chrom
locus_start = locus_transcripts[0].start
locus_end = max(t.end for t in locus_transcripts)
logging.debug("[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end,
len(locus_transcripts)))
# score transcripts
for t in locus_transcripts:
if gtf_score_attr is None:
t.score = 0.0
else:
t.score = float(t.attrs.get(gtf_score_attr, 0.0))
# run comparison
for mobj in compare_locus(locus_transcripts):
print >>cmp_fh, str(mobj)
# measure global stats
locus_stats_obj = gather_global_stats(locus_transcripts)
stats_obj = stats_obj + locus_stats_obj
# cleanup
cmp_fh.close()
logging.info("Printing report")
f = open(global_stats_file, "w")
print >>f, stats_obj.report()
os.remove(tmp_sorted_gtf_file)
logging.info("Done")
def main():
# setup logging
logging.basicConfig(level=logging.DEBUG,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
logging.info("AssemblyLine %s" % (assemblyline.__version__))
logging.info("----------------------------------")
# parse command line
parser = argparse.ArgumentParser()
parser.add_argument('--tmp-dir', dest="tmp_dir", default=None,
help="directory for sort to store temp files")
parser.add_argument("input_gtf_file")
parser.add_argument("output_gtf_file")
args = parser.parse_args()
# check command line
if not os.path.exists(args.input_gtf_file):
parser.error("input gtf file %s not found" % (args.input_gtf_file))
logging.info("Parameters:")
logging.info("input gtf file: %s" % (args.input_gtf_file))
logging.info("output gtf file: %s" % (args.output_gtf_file))
logging.info("Sorting")
sort_gtf(args.input_gtf_file, args.output_gtf_file,
tmp_dir=args.tmp_dir)
logging.info("Done")
return 0
def main():
# parse command line
parser = argparse.ArgumentParser()
parser.add_argument("-v",
"--verbose",
action="store_true",
dest="verbose",
default=False)
parser.add_argument("ref_gtf_file")
parser.add_argument("gtf_file")
args = parser.parse_args()
# set logging level
if args.verbose:
level = logging.DEBUG
else:
level = logging.INFO
logging.basicConfig(
level=level,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
# check command line parameters
if not os.path.exists(args.ref_gtf_file):
parser.error("GTF file %s not found" % (args.ref_gtf_file))
if not os.path.exists(args.gtf_file):
parser.error("GTF file %s not found" % (args.gtf_file))
logging.info("AssemblyLine %s" % (assemblyline.__version__))
logging.info("----------------------------------")
# show parameters
logging.info("Parameters:")
logging.info("verbose logging: %s" % (args.verbose))
logging.info("ref gtf file: %s" % (args.ref_gtf_file))
logging.info("assembly gtf file: %s" % (args.gtf_file))
# find CDS regions
if not os.path.exists('tmp.srt.gtf'):
with open('tmp.gtf', 'w') as outfileh:
logging.info("Reading CDS regions from reference GTF")
for f in get_cds_features(args.ref_gtf_file):
print >> outfileh, str(f)
logging.info("Reading transcripts from assembly GTF")
i = 0
for f in GTFFeature.parse(open(args.gtf_file)):
print >> outfileh, str(f)
i += 1
if i % 100000 == 0:
logging.debug("Parsed %d transcripts" % (i))
logging.info("Sorting GTF file")
sort_gtf('tmp.gtf', 'tmp.srt.gtf')
for locus_transcripts in parse_gtf(open('tmp.srt.gtf')):
locus_chrom = locus_transcripts[0].chrom
locus_start = locus_transcripts[0].start
locus_end = max(t.end for t in locus_transcripts)
logging.debug(
"[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end, len(locus_transcripts)))
for start, end, strand, m, t, c in categorize(locus_transcripts):
fields = [
locus_chrom,
str(start),
str(end),
'%s|%s|%s' % (m, t, c), '0',
strand_int_to_str(strand)
]
print '\t'.join(fields)
return 0
def main():
# setup logging
logging.basicConfig(level=logging.DEBUG,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
logging.info("AssemblyLine %s" % (assemblyline.__version__))
logging.info("----------------------------------")
# parse command line
parser = argparse.ArgumentParser()
parser.add_argument('--min-transcript-length', type=int,
dest="min_transcript_length",
metavar="N",
default=config.MIN_TRANSCRIPT_LENGTH,
help="Skip ab initio transcripts equal to or below "
"this length [default=%(default)s]")
parser.add_argument("--gtf-score-attr", dest="gtf_score_attr",
default="FPKM", metavar="ATTR",
help="GTF attribute field containing transcript "
"expression [default='%(default)s']")
parser.add_argument('-o', '--output-dir', dest="output_dir",
default="assemblyline_out",
help="directory to store assemblyline results and "
"intermediate files [default=%(default)s]")
parser.add_argument("--random-test-frac", dest="random_test_frac",
default=0.1, metavar="FRAC", type=float,
help="if no user-defined tests are specified "
"using '--tests' randomly designate a fraction "
"of reference transcripts as test data for use "
"in classification [default=%(default)s]")
parser.add_argument("--tests", dest="test_file", default=None,
help="(optional) text file containing "
"reference 'gene_id' attributes "
"(one per line) that define test cases "
"to use for validation purposes")
parser.add_argument('ref_gtf_file')
parser.add_argument('library_table_file')
args = parser.parse_args()
# check command line parameters
if not os.path.exists(args.library_table_file):
parser.error("library table file %s not found" % (args.library_table_file))
if args.min_transcript_length < 0:
parser.error("min_transcript_length < 0")
if not os.path.exists(args.ref_gtf_file):
parser.error("reference GTF file %s not found" % (args.ref_gtf_file))
if (args.test_file is not None) and (not os.path.exists(args.test_file)):
parser.error("test file %s not found" % (args.test_file))
if (args.random_test_frac < 0):
parser.error("cannot set --random-test-frac < 0")
# show parameters
logging.info("Parameters:")
logging.info("min transcript length: %d" % (args.min_transcript_length))
logging.info("gtf score attr: %s" % (args.gtf_score_attr))
logging.info("output directory: %s" % (args.output_dir))
logging.info("reference GTF file: %s" % (args.ref_gtf_file))
logging.info("test file: %s" % (args.test_file))
logging.info("library table file: %s" % (args.library_table_file))
logging.info("----------------------------------")
# setup results
results = config.AssemblylineResults(args.output_dir)
# create output directory
if not os.path.exists(results.run_dir):
logging.debug("Creating output directory '%s'" % (results.run_dir))
os.makedirs(results.run_dir)
if not os.path.exists(results.tmp_dir):
logging.info("Creating tmp directory '%s'" % (results.tmp_dir))
os.makedirs(results.tmp_dir)
# parse sample table
logging.info("Parsing library table")
libraries = []
valid = True
library_num = 1
sample_num = 1
sample_id_map = {}
library_map_fileh = open(results.library_id_map, 'w')
sample_map_fileh = open(results.sample_id_map, 'w')
for library in Library.from_file(args.library_table_file):
# exclude samples
if not os.path.exists(library.gtf_file):
logging.warning("Library '%s' GTF file not found" % (library.library_id))
continue
# rename library id
new_library_id = "L%d" % (library_num)
print >>library_map_fileh, '\t'.join([new_library_id, library.library_id])
library_num += 1
library.library_id = new_library_id
# rename sample id
if library.sample_id not in sample_id_map:
new_sample_id = "S%d" % (sample_num)
print >>sample_map_fileh, '\t'.join([new_sample_id, library.sample_id])
sample_id_map[library.sample_id] = new_sample_id
sample_num += 1
else:
new_sample_id = sample_id_map[library.sample_id]
library.sample_id = new_sample_id
libraries.append(library)
if not valid:
logging.warning("Invalid libraries in table file")
library_map_fileh.close()
sample_map_fileh.close()
# setup output files
tmp_file = os.path.join(results.tmp_dir, "transcripts.unsorted.gtf")
tmpfileh = open(tmp_file, "w")
dropfileh = open(results.transcripts_dropped_gtf_file, "w")
statsfileh = open(results.transcript_stats_file, 'w')
header_fields = ['#library_id']
header_fields.extend(config.TRANSCRIPT_STATS_FIELDS)
header_fields.extend([("failed_q%d" % x) for x in config.TRANSCRIPT_SCORE_QUANTILES])
header_fields.extend([("passed_q%d" % x) for x in config.TRANSCRIPT_SCORE_QUANTILES])
print >>statsfileh, '\t'.join(header_fields)
# read test transcripts
test_gene_ids = set()
if args.test_file is not None:
fileh = open(args.test_file)
test_gene_ids.update(line.strip() for line in fileh)
fileh.close()
logging.info("Read %d test genes" % len(test_gene_ids))
# read reference GTF file and aggregate
logging.info("Adding reference GTF file")
add_reference_gtf_file(args.ref_gtf_file, test_gene_ids,
args.random_test_frac, tmpfileh)
# parse sample table
logging.info("Adding libraries")
for library in libraries:
t_dict = read_gtf_file(library, args.gtf_score_attr)
logging.debug("Read %s transcripts from file %s" % (len(t_dict),
library.gtf_file))
if len(t_dict) == 0:
logging.warning("Library %s has no transcripts" %
(library.library_id))
else:
filter_transcripts(library.library_id, t_dict,
tmpfileh, dropfileh, statsfileh,
args.min_transcript_length)
statsfileh.close()
tmpfileh.close()
logging.info("Sorting GTF")
retcode = sort_gtf(tmp_file, results.transcripts_gtf_file, tmp_dir=results.tmp_dir)
if retcode != 0:
logging.error("sort GTF failed")
if os.path.exists(results.transcripts_gtf_file):
os.remove(results.transcripts_gtf_file)
os.remove(tmp_file)
logging.info("Done")
return retcode
def compare_assemblies(ref_gtf_file, test_gtf_file, output_dir):
# output files
if not os.path.exists(output_dir):
logging.info('Creating output dir: %s' % (output_dir))
os.makedirs(output_dir)
# merge step
merged_gtf_file = os.path.join(output_dir, "merged.gtf")
merged_sorted_gtf_file = os.path.splitext(merged_gtf_file)[0] + ".srt.gtf"
merge_done_file = os.path.join(output_dir, 'merged.done')
sort_done_file = os.path.join(output_dir, 'sort.done')
if not os.path.exists(merge_done_file):
# merge and sort ref/test gtf files
logging.info("Merging reference and test GTF files")
# make temporary file to store merged ref/test gtf files
with open(merged_gtf_file, "w") as fileh:
logging.info("Adding reference GTF file")
add_gtf_file(ref_gtf_file, fileh, is_ref=True)
logging.info("Adding test GTF file")
add_gtf_file(test_gtf_file, fileh, is_ref=False)
open(merge_done_file, 'w').close()
if not os.path.exists(sort_done_file):
logging.info("Sorting merged GTF file")
# create temp directory
tmp_dir = os.path.join(output_dir, 'tmp')
if not os.path.exists(tmp_dir):
logging.debug("Creating tmp directory '%s'" % (tmp_dir))
os.makedirs(tmp_dir)
sort_gtf(merged_gtf_file, merged_sorted_gtf_file, tmp_dir=tmp_dir)
# cleanup
shutil.rmtree(tmp_dir)
open(sort_done_file, 'w').close()
# compare assemblies
overlapping_gtf_file = os.path.join(output_dir, 'overlapping.gtf')
intergenic_tmp_gtf_file = os.path.join(output_dir, 'intergenic.tmp.gtf')
overlapping_file = os.path.join(output_dir, 'overlapping.tsv')
overlapping_consensus_file = os.path.join(output_dir,
'overlapping.consensus.tsv')
overlapping_done_file = os.path.join(output_dir, 'overlapping.done')
stats_file = os.path.join(output_dir, 'stats.txt')
stats_obj = GlobalStats()
num_intergenic = 0
if not os.path.exists(overlapping_done_file):
logging.info("Comparing assemblies")
gtf_fileh = open(overlapping_gtf_file, 'w')
tmp_gtf_fileh = open(intergenic_tmp_gtf_file, 'w')
overlapping_fileh = open(overlapping_file, 'w')
overlapping_consensus_fileh = open(overlapping_consensus_file, 'w')
for locus_transcripts in parse_gtf(open(merged_sorted_gtf_file)):
locus_chrom = locus_transcripts[0].chrom
locus_start = locus_transcripts[0].start
locus_end = max(t.end for t in locus_transcripts)
logging.debug(
"[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end, len(locus_transcripts)))
for t, match_stats in compare_locus(locus_transcripts):
if len(match_stats) == 0:
# write intergenic transcripts to analyze separately
t.attrs['category'] = Category.to_str(Category.INTERGENIC)
for f in t.to_gtf_features(source='assembly'):
print >> tmp_gtf_fileh, str(f)
num_intergenic += 1
else:
# get consensus match information
consensus_match = MatchStats.consensus(match_stats)
assert consensus_match is not None
t.attrs['category'] = consensus_match.category
# add gtf attributes and write
for f in t.to_gtf_features(source='assembly'):
consensus_match.add_gtf_attributes(f)
print >> gtf_fileh, str(f)
# tab-delimited text output
print >> overlapping_consensus_fileh, str(consensus_match)
for ms in match_stats:
print >> overlapping_fileh, str(ms)
# compute global statistics
stats_obj.compute(locus_transcripts)
logging.info("Reporting global statistics")
with open(stats_file, 'w') as f:
print >> f, stats_obj.report()
gtf_fileh.close()
tmp_gtf_fileh.close()
overlapping_fileh.close()
overlapping_consensus_fileh.close()
open(overlapping_done_file, 'w').close()
# resolve intergenic transcripts
intergenic_gtf_file = os.path.join(output_dir, 'intergenic.gtf')
intergenic_file = os.path.join(output_dir, 'intergenic.tsv')
intergenic_best_file = os.path.join(output_dir, 'intergenic.best.tsv')
intergenic_done_file = os.path.join(output_dir, 'intergenic.done')
if not os.path.exists(intergenic_done_file):
logging.info("Building interval index")
locus_trees = build_locus_trees(merged_sorted_gtf_file)
logging.info('Finding nearest matches to intergenic transcripts')
gtf_fileh = open(intergenic_gtf_file, 'w')
intergenic_fileh = open(intergenic_file, 'w')
intergenic_best_fileh = open(intergenic_best_file, 'w')
for locus_transcripts in parse_gtf(open(intergenic_tmp_gtf_file)):
for t in locus_transcripts:
# find nearest transcripts
nearest_transcripts = find_nearest_transcripts(
t.chrom, t.start, t.end, t.strand, locus_trees)
match_stats = []
best_match = None
if len(nearest_transcripts) == 0:
best_match = MatchStats.from_transcript(t)
best_match.category = Category.to_str(Category.INTERGENIC)
match_stats.append(best_match)
else:
for ref, category, dist in nearest_transcripts:
# create a match object
ms = MatchStats.from_transcript(t, ref)
ms.shared_same_strand_bp = 0
ms.shared_opp_strand_bp = 0
ms.shared_introns = 0
ms.shared_splicing = False
ms.category = Category.to_str(category)
ms.distance = dist
match_stats.append(ms)
# choose the consensus match
best_match = MatchStats.choose_best(match_stats)
# add gtf attributes and write
for f in t.to_gtf_features(source='assembly'):
best_match.add_gtf_attributes(f)
print >> gtf_fileh, str(f)
# write tab-delimited data
print >> intergenic_best_fileh, str(best_match)
for ms in match_stats:
print >> intergenic_fileh, str(ms)
gtf_fileh.close()
intergenic_fileh.close()
intergenic_best_fileh.close()
open(intergenic_done_file, 'w').close()
# merge overlapping and intergenic results
logging.info('Merging results')
metadata_file = os.path.join(output_dir, 'metadata.txt')
metadata_consensus_file = os.path.join(output_dir,
'metadata.consensus.txt')
assembly_gtf_file = os.path.join(output_dir, 'assembly.cmp.gtf')
combine_done_file = os.path.join(output_dir, 'done')
if not os.path.exists(combine_done_file):
filenames = [overlapping_file, intergenic_file]
with open(metadata_file, 'w') as outfile:
print >> outfile, '\t'.join(MatchStats.header_fields())
for fname in filenames:
with open(fname) as infile:
for line in infile:
outfile.write(line)
filenames = [overlapping_consensus_file, intergenic_best_file]
with open(metadata_consensus_file, 'w') as outfile:
print >> outfile, '\t'.join(MatchStats.header_fields())
for fname in filenames:
with open(fname) as infile:
for line in infile:
outfile.write(line)
filenames = [intergenic_gtf_file, overlapping_gtf_file]
with open(assembly_gtf_file, 'w') as outfile:
for fname in filenames:
with open(fname) as infile:
for line in infile:
outfile.write(line)
open(combine_done_file, 'w').close()
# cleanup
logging.info("Done")
def main():
logging.basicConfig(level=logging.DEBUG,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
parser = argparse.ArgumentParser()
parser.add_argument('gtf_file')
parser.add_argument('excl_file')
parser.add_argument('chrom_sizes')
parser.add_argument("output_prefix")
args = parser.parse_args()
prefix = args.output_prefix
excl_file = args.excl_file
chrom_sizes_file = args.chrom_sizes
gtf_file = args.gtf_file
# check command line parameters
if which('bedtools') is None:
parser.error('bedtools binary not found in PATH')
if not os.path.exists(chrom_sizes_file):
parser.error('chrom sizes file %s not found' % (chrom_sizes_file))
gene_intervals_file = prefix + '.gene_intervals.bed'
gene_intervals_shuffled_file = prefix + '.gene_intervals.shuffle.bed'
shuffled_gtf_file = prefix + '.shuffle.gtf'
sorted_shuffled_gtf_file = prefix + '.shuffle.srt.gtf'
logging.info('Parsing GTF file')
with open(gene_intervals_file, 'w') as f:
for locus_transcripts in parse_gtf(open(gtf_file)):
# find borders of locus
locus_chrom = locus_transcripts[0].chrom
locus_start = min(t.start for t in locus_transcripts)
locus_end = max(t.end for t in locus_transcripts)
logging.debug("[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end,
len(locus_transcripts)))
for g in get_gene_intervals(locus_transcripts):
print >>f, '\t'.join(map(str, [g.chrom, g.start, g.end, g.gene_id]))
# randomly shuffle genes
logging.info("Shuffling genes")
args = ['bedtools', 'shuffle',
'-excl', excl_file,
'-i', gene_intervals_file,
'-g', args.chrom_sizes]
with open(gene_intervals_shuffled_file, 'w') as fileh:
subprocess.call(args, stdout=fileh)
# read new gene positions
logging.info("Reading shuffled gene intervals")
shuffle_gene_map = {}
with open(gene_intervals_shuffled_file) as fileh:
for line in fileh:
fields = line.strip().split('\t')
chrom = fields[0]
start = int(fields[1])
end = int(fields[2])
gene_id = fields[3]
shuffle_gene_map[gene_id] = (chrom, start, end)
# reposition transcripts
logging.info("Repositioning transcripts")
with open(shuffled_gtf_file, 'w') as fileh:
for locus_transcripts in parse_gtf(open(gtf_file)):
# get original positions
orig_gene_map = {}
for g in get_gene_intervals(locus_transcripts):
orig_gene_map[g.gene_id] = (g.chrom, g.start, g.end)
for t in locus_transcripts:
gene_id = t.attrs['gene_id']
orig_chrom, orig_start, orig_end = orig_gene_map[gene_id]
if gene_id not in shuffle_gene_map:
logging.warning('Gene %s [%s:%d-%d] could not be shuffled' % (gene_id, orig_chrom, orig_start, orig_end))
continue
new_chrom, new_start, new_end = shuffle_gene_map[gene_id]
# reposition transcript
t.chrom = new_chrom
t.start = new_start + (t.start - orig_start)
t.end = new_start + (t.end - orig_start)
for e in t.exons:
e.start = new_start + (e.start - orig_start)
e.end = new_start + (e.end - orig_start)
fields = write_bed(t.chrom, t.attrs['transcript_id'], t.strand, 1000, t.exons)
print '\t'.join(fields)
#for f in t.to_gtf_features(source='shuffle'):
# print >>fileh, str(f)
logging.info("Sorting GTF file")
sort_gtf(shuffled_gtf_file, sorted_shuffled_gtf_file)
def main():
logging.basicConfig(
level=logging.DEBUG,
format="%(asctime)s - %(name)s - %(levelname)s - %(message)s")
parser = argparse.ArgumentParser()
parser.add_argument('gtf_file')
parser.add_argument('excl_file')
parser.add_argument('chrom_sizes')
parser.add_argument("output_prefix")
args = parser.parse_args()
prefix = args.output_prefix
excl_file = args.excl_file
chrom_sizes_file = args.chrom_sizes
gtf_file = args.gtf_file
# check command line parameters
if which('bedtools') is None:
parser.error('bedtools binary not found in PATH')
if not os.path.exists(chrom_sizes_file):
parser.error('chrom sizes file %s not found' % (chrom_sizes_file))
gene_intervals_file = prefix + '.gene_intervals.bed'
gene_intervals_shuffled_file = prefix + '.gene_intervals.shuffle.bed'
shuffled_gtf_file = prefix + '.shuffle.gtf'
sorted_shuffled_gtf_file = prefix + '.shuffle.srt.gtf'
logging.info('Parsing GTF file')
with open(gene_intervals_file, 'w') as f:
for locus_transcripts in parse_gtf(open(gtf_file)):
# find borders of locus
locus_chrom = locus_transcripts[0].chrom
locus_start = min(t.start for t in locus_transcripts)
locus_end = max(t.end for t in locus_transcripts)
logging.debug(
"[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end, len(locus_transcripts)))
for g in get_gene_intervals(locus_transcripts):
print >> f, '\t'.join(
map(str, [g.chrom, g.start, g.end, g.gene_id]))
# randomly shuffle genes
logging.info("Shuffling genes")
args = [
'bedtools', 'shuffle', '-excl', excl_file, '-i', gene_intervals_file,
'-g', args.chrom_sizes
]
with open(gene_intervals_shuffled_file, 'w') as fileh:
subprocess.call(args, stdout=fileh)
# read new gene positions
logging.info("Reading shuffled gene intervals")
shuffle_gene_map = {}
with open(gene_intervals_shuffled_file) as fileh:
for line in fileh:
fields = line.strip().split('\t')
chrom = fields[0]
start = int(fields[1])
end = int(fields[2])
gene_id = fields[3]
shuffle_gene_map[gene_id] = (chrom, start, end)
# reposition transcripts
logging.info("Repositioning transcripts")
with open(shuffled_gtf_file, 'w') as fileh:
for locus_transcripts in parse_gtf(open(gtf_file)):
# get original positions
orig_gene_map = {}
for g in get_gene_intervals(locus_transcripts):
orig_gene_map[g.gene_id] = (g.chrom, g.start, g.end)
for t in locus_transcripts:
gene_id = t.attrs['gene_id']
orig_chrom, orig_start, orig_end = orig_gene_map[gene_id]
if gene_id not in shuffle_gene_map:
logging.warning(
'Gene %s [%s:%d-%d] could not be shuffled' %
(gene_id, orig_chrom, orig_start, orig_end))
continue
new_chrom, new_start, new_end = shuffle_gene_map[gene_id]
# reposition transcript
t.chrom = new_chrom
t.start = new_start + (t.start - orig_start)
t.end = new_start + (t.end - orig_start)
for e in t.exons:
e.start = new_start + (e.start - orig_start)
e.end = new_start + (e.end - orig_start)
fields = write_bed(t.chrom, t.attrs['transcript_id'], t.strand,
1000, t.exons)
print '\t'.join(fields)
#for f in t.to_gtf_features(source='shuffle'):
# print >>fileh, str(f)
logging.info("Sorting GTF file")
sort_gtf(shuffled_gtf_file, sorted_shuffled_gtf_file)
def compare_assemblies(ref_gtf_file, test_gtf_file, output_dir):
# output files
if not os.path.exists(output_dir):
logging.info('Creating output dir: %s' % (output_dir))
os.makedirs(output_dir)
# merge step
merged_gtf_file = os.path.join(output_dir, "merged.gtf")
merged_sorted_gtf_file = os.path.splitext(merged_gtf_file)[0] + ".srt.gtf"
merge_done_file = os.path.join(output_dir, 'merged.done')
sort_done_file = os.path.join(output_dir, 'sort.done')
if not os.path.exists(merge_done_file):
# merge and sort ref/test gtf files
logging.info("Merging reference and test GTF files")
# make temporary file to store merged ref/test gtf files
with open(merged_gtf_file, "w") as fileh:
logging.info("Adding reference GTF file")
add_gtf_file(ref_gtf_file, fileh, is_ref=True)
logging.info("Adding test GTF file")
add_gtf_file(test_gtf_file, fileh, is_ref=False)
open(merge_done_file, 'w').close()
if not os.path.exists(sort_done_file):
logging.info("Sorting merged GTF file")
# create temp directory
tmp_dir = os.path.join(output_dir, 'tmp')
if not os.path.exists(tmp_dir):
logging.debug("Creating tmp directory '%s'" % (tmp_dir))
os.makedirs(tmp_dir)
sort_gtf(merged_gtf_file, merged_sorted_gtf_file, tmp_dir=tmp_dir)
# cleanup
shutil.rmtree(tmp_dir)
open(sort_done_file, 'w').close()
# compare assemblies
overlapping_gtf_file = os.path.join(output_dir, 'overlapping.gtf')
intergenic_tmp_gtf_file = os.path.join(output_dir, 'intergenic.tmp.gtf')
overlapping_file = os.path.join(output_dir, 'overlapping.tsv')
overlapping_consensus_file = os.path.join(output_dir, 'overlapping.consensus.tsv')
overlapping_done_file = os.path.join(output_dir, 'overlapping.done')
stats_file = os.path.join(output_dir, 'stats.txt')
stats_obj = GlobalStats()
num_intergenic = 0
if not os.path.exists(overlapping_done_file):
logging.info("Comparing assemblies")
gtf_fileh = open(overlapping_gtf_file, 'w')
tmp_gtf_fileh = open(intergenic_tmp_gtf_file, 'w')
overlapping_fileh = open(overlapping_file, 'w')
overlapping_consensus_fileh = open(overlapping_consensus_file, 'w')
for locus_transcripts in parse_gtf(open(merged_sorted_gtf_file)):
locus_chrom = locus_transcripts[0].chrom
locus_start = locus_transcripts[0].start
locus_end = max(t.end for t in locus_transcripts)
logging.debug("[LOCUS] %s:%d-%d %d transcripts" %
(locus_chrom, locus_start, locus_end,
len(locus_transcripts)))
for t, match_stats in compare_locus(locus_transcripts):
if len(match_stats) == 0:
# write intergenic transcripts to analyze separately
t.attrs['category'] = Category.to_str(Category.INTERGENIC)
for f in t.to_gtf_features(source='assembly'):
print >>tmp_gtf_fileh, str(f)
num_intergenic += 1
else:
# get consensus match information
consensus_match = MatchStats.consensus(match_stats)
assert consensus_match is not None
t.attrs['category'] = consensus_match.category
# add gtf attributes and write
for f in t.to_gtf_features(source='assembly'):
consensus_match.add_gtf_attributes(f)
print >>gtf_fileh, str(f)
# tab-delimited text output
print >>overlapping_consensus_fileh, str(consensus_match)
for ms in match_stats:
print >>overlapping_fileh, str(ms)
# compute global statistics
stats_obj.compute(locus_transcripts)
logging.info("Reporting global statistics")
with open(stats_file, 'w') as f:
print >>f, stats_obj.report()
gtf_fileh.close()
tmp_gtf_fileh.close()
overlapping_fileh.close()
overlapping_consensus_fileh.close()
open(overlapping_done_file, 'w').close()
# resolve intergenic transcripts
intergenic_gtf_file = os.path.join(output_dir, 'intergenic.gtf')
intergenic_file = os.path.join(output_dir, 'intergenic.tsv')
intergenic_best_file = os.path.join(output_dir, 'intergenic.best.tsv')
intergenic_done_file = os.path.join(output_dir, 'intergenic.done')
if not os.path.exists(intergenic_done_file):
logging.info("Building interval index")
locus_trees = build_locus_trees(merged_sorted_gtf_file)
logging.info('Finding nearest matches to intergenic transcripts')
gtf_fileh = open(intergenic_gtf_file, 'w')
intergenic_fileh = open(intergenic_file, 'w')
intergenic_best_fileh = open(intergenic_best_file, 'w')
for locus_transcripts in parse_gtf(open(intergenic_tmp_gtf_file)):
for t in locus_transcripts:
# find nearest transcripts
nearest_transcripts = find_nearest_transcripts(t.chrom, t.start, t.end, t.strand, locus_trees)
match_stats = []
best_match = None
if len(nearest_transcripts) == 0:
best_match = MatchStats.from_transcript(t)
best_match.category = Category.to_str(Category.INTERGENIC)
match_stats.append(best_match)
else:
for ref,category,dist in nearest_transcripts:
# create a match object
ms = MatchStats.from_transcript(t, ref)
ms.shared_same_strand_bp = 0
ms.shared_opp_strand_bp = 0
ms.shared_introns = 0
ms.shared_splicing = False
ms.category = Category.to_str(category)
ms.distance = dist
match_stats.append(ms)
# choose the consensus match
best_match = MatchStats.choose_best(match_stats)
# add gtf attributes and write
for f in t.to_gtf_features(source='assembly'):
best_match.add_gtf_attributes(f)
print >>gtf_fileh, str(f)
# write tab-delimited data
print >>intergenic_best_fileh, str(best_match)
for ms in match_stats:
print >>intergenic_fileh, str(ms)
gtf_fileh.close()
intergenic_fileh.close()
intergenic_best_fileh.close()
open(intergenic_done_file, 'w').close()
# merge overlapping and intergenic results
logging.info('Merging results')
metadata_file = os.path.join(output_dir, 'metadata.txt')
metadata_consensus_file = os.path.join(output_dir, 'metadata.consensus.txt')
assembly_gtf_file = os.path.join(output_dir, 'assembly.cmp.gtf')
combine_done_file = os.path.join(output_dir, 'done')
if not os.path.exists(combine_done_file):
filenames = [overlapping_file, intergenic_file]
with open(metadata_file, 'w') as outfile:
print >>outfile, '\t'.join(MatchStats.header_fields())
for fname in filenames:
with open(fname) as infile:
for line in infile:
outfile.write(line)
filenames = [overlapping_consensus_file, intergenic_best_file]
with open(metadata_consensus_file, 'w') as outfile:
print >>outfile, '\t'.join(MatchStats.header_fields())
for fname in filenames:
with open(fname) as infile:
for line in infile:
outfile.write(line)
filenames = [intergenic_gtf_file, overlapping_gtf_file]
with open(assembly_gtf_file, 'w') as outfile:
for fname in filenames:
with open(fname) as infile:
for line in infile:
outfile.write(line)
open(combine_done_file, 'w').close()
# cleanup
logging.info("Done")
