def main():
parser = argparse.ArgumentParser(
description='Convert GenBank flat files to GFF3 format')
## output file to be written
parser.add_argument('-i',
'--input_file',
type=str,
required=True,
help='Path to an input GBK file')
parser.add_argument('-o',
'--output_file',
type=str,
required=False,
help='Path to an output GFF file to be created')
parser.add_argument(
'--with_fasta',
dest='fasta',
action='store_true',
help=
'Include the FASTA section with genomic sequence at end of file. (default)'
)
parser.add_argument('--no_fasta', dest='fasta', action='store_false')
parser.set_defaults(fasta=True)
args = parser.parse_args()
## output will either be a file or STDOUT
ofh = sys.stdout
if args.output_file is not None:
ofh = open(args.output_file, 'wt')
ofh.write("##gff-version 3\n")
assemblies = dict()
current_assembly = None
current_gene = None
current_RNA = None
rna_count_by_gene = defaultdict(int)
exon_count_by_RNA = defaultdict(int)
seqs_pending_writes = False
features_skipped_count = 0
# each gb_record is a SeqRecord object
for gb_record in SeqIO.parse(open(args.input_file, "r"), "genbank"):
mol_id = gb_record.name
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
if len(str(gb_record.seq)) > 0:
seqs_pending_writes = True
assemblies[mol_id].residues = str(gb_record.seq)
assemblies[mol_id].length = len(str(gb_record.seq))
current_assembly = assemblies[mol_id]
# each feat is a SeqFeature object
for feat in gb_record.features:
#print(feat)
fmin = int(feat.location.start)
fmax = int(feat.location.end)
if feat.location.strand == 1:
strand = '+'
elif feat.location.strand == -1:
strand = '-'
else:
raise Exception(
"ERROR: unstranded feature encountered: {0}".format(feat))
#print("{0} located at {1}-{2} strand:{3}".format( locus_tag, fmin, fmax, strand ) )
if feat.type == 'source':
continue
if feat.type == 'gene':
# print the previous gene (if there is one)
if current_gene is not None:
gene.print_as(fh=ofh, source='GenBank', format='gff3')
locus_tag = feat.qualifiers['locus_tag'][0]
gene = things.Gene(id=locus_tag, locus_tag=locus_tag)
gene.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
current_gene = gene
current_RNA = None
elif feat.type == 'mRNA':
locus_tag = feat.qualifiers['locus_tag'][0]
rna_count_by_gene[locus_tag] += 1
feat_id = "{0}.mRNA.{1}".format(locus_tag,
rna_count_by_gene[locus_tag])
mRNA = things.mRNA(id=feat_id,
parent=current_gene,
locus_tag=locus_tag)
mRNA.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
gene.add_mRNA(mRNA)
current_RNA = mRNA
if feat_id in exon_count_by_RNA:
raise Exception(
"ERROR: two different RNAs found with same ID: {0}".
format(feat_id))
else:
exon_count_by_RNA[feat_id] = 0
elif feat.type == 'tRNA':
locus_tag = feat.qualifiers['locus_tag'][0]
rna_count_by_gene[locus_tag] += 1
feat_id = "{0}.tRNA.{1}".format(locus_tag,
rna_count_by_gene[locus_tag])
if 'product' in feat.qualifiers:
anticodon = feat.qualifiers['product'][0]
else:
anticodon = None
tRNA = things.tRNA(id=feat_id,
parent=current_gene,
anticodon=anticodon)
tRNA.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
gene.add_tRNA(tRNA)
current_RNA = tRNA
if feat_id in exon_count_by_RNA:
raise Exception(
"ERROR: two different RNAs found with same ID: {0}".
format(feat_id))
else:
exon_count_by_RNA[feat_id] = 0
elif feat.type == 'rRNA':
locus_tag = feat.qualifiers['locus_tag'][0]
rna_count_by_gene[locus_tag] += 1
feat_id = "{0}.rRNA.{1}".format(locus_tag,
rna_count_by_gene[locus_tag])
if 'product' in feat.qualifiers:
product = feat.qualifiers['product'][0]
else:
product = None
annot = annotation.FunctionalAnnotation(product_name=product)
rRNA = things.rRNA(id=feat_id,
parent=current_gene,
annotation=annot)
rRNA.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
gene.add_rRNA(rRNA)
current_RNA = rRNA
if feat_id in exon_count_by_RNA:
raise Exception(
"ERROR: two different RNAs found with same ID: {0}".
format(feat_id))
else:
exon_count_by_RNA[feat_id] = 0
elif feat.type == 'CDS':
locus_tag = feat.qualifiers['locus_tag'][0]
# If processing a prokaryotic GBK, we'll encounter CDS before mRNA, so we have to
# manually make one
if current_RNA is None:
feat_id = "{0}.mRNA.{1}".format(
locus_tag, rna_count_by_gene[locus_tag])
mRNA = things.mRNA(id=feat_id, parent=current_gene)
mRNA.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
gene.add_mRNA(mRNA)
current_RNA = mRNA
if 'product' in feat.qualifiers:
product = feat.qualifiers['product'][0]
else:
product = None
if 'gene' in feat.qualifiers:
gene_symbol = feat.qualifiers['gene'][0]
else:
gene_symbol = None
annot = annotation.FunctionalAnnotation(
product_name=product, gene_symbol=gene_symbol)
if 'db_xref' in feat.qualifiers:
for dbxref in feat.qualifiers['db_xref']:
annot.add_dbxref(dbxref)
polypeptide_id = "{0}.polypeptide.{1}".format(
locus_tag, rna_count_by_gene[locus_tag])
polypeptide = things.Polypeptide(id=polypeptide_id,
parent=mRNA,
annotation=annot)
mRNA.add_polypeptide(polypeptide)
exon_count_by_RNA[current_RNA.id] += 1
cds_id = "{0}.CDS.{1}".format(
current_RNA.id, exon_count_by_RNA[current_RNA.id])
current_CDS_phase = 0
for loc in feat.location.parts:
subfmin = int(loc.start)
subfmax = int(loc.end)
CDS = things.CDS(id=cds_id, parent=current_RNA)
CDS.locate_on(target=current_assembly,
fmin=subfmin,
fmax=subfmax,
strand=strand,
phase=current_CDS_phase)
current_RNA.add_CDS(CDS)
# calculate the starting phase for the next CDS feature (in case there is one)
# 0 + 6 = 0 TTGCAT
# 0 + 7 = 2 TTGCATG
# 1 + 6 = 1 TTGCAT
# 2 + 7 = 1 TTGCATG
# general: 3 - ((length - previous phase) % 3)
current_CDS_phase = 3 - ((
(subfmax - subfmin) - current_CDS_phase) % 3)
if current_CDS_phase == 3:
current_CDS_phase = 0
exon_id = "{0}.exon.{1}".format(
current_RNA.id, exon_count_by_RNA[current_RNA.id])
exon = things.Exon(id=exon_id, parent=current_RNA)
exon.locate_on(target=current_assembly,
fmin=subfmin,
fmax=subfmax,
strand=strand)
current_RNA.add_exon(exon)
exon_count_by_RNA[current_RNA.id] += 1
else:
print(
"WARNING: The following feature was skipped:\n{0}".format(
feat))
features_skipped_count += 1
# don't forget to do the last gene, if there were any
if current_gene is not None:
gene.print_as(fh=ofh, source='GenBank', format='gff3')
if args.fasta is True:
if seqs_pending_writes is True:
ofh.write("##FASTA\n")
for assembly_id in assemblies:
ofh.write(">{0}\n".format(assembly_id))
ofh.write("{0}\n".format(
utils.wrapped_fasta(assemblies[assembly_id].residues)))
if features_skipped_count > 0:
print("Warning: {0} unsupported feature types were skipped".format(
features_skipped_count))
def main():
parser = argparse.ArgumentParser(
description='Convert GFF output from Prodigal into GFF3 format')
## output file to be written
parser.add_argument('-i',
'--input',
type=str,
required=True,
help='Path to a GFF file created by Prodigal')
parser.add_argument('-o',
'--output',
type=str,
required=True,
help='Path to an output file to be created')
args = parser.parse_args()
assemblies = dict()
current_assembly = None
gene = None
mRNAs = dict()
in_sequence = False
current_sequence = None
current_gene_comment_lines = list()
## Used for tracking the exon count for each gene (for ID purposes)
exon_count_by_mRNA = dict()
fout = open(args.output, mode='wt', encoding='utf-8')
fout.write("##gff-version 3\n")
for line in open(args.input):
if line.startswith("#"):
pass
else:
##
gene = None
mRNAs = dict()
in_sequence = False
current_sequence = None
current_gene_comment_lines = list()
##
cols = line.split("\t")
if len(cols) != 9:
continue
mol_id = cols[0]
feat_type = cols[2]
feat_id = gff.column_9_value(cols[8], 'ID')
## initialize this assembly if we haven't seen it yet
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
current_assembly = assemblies[mol_id]
if feat_type == "CDS":
# gene
gene = things.Gene(id=feat_id)
gene.locate_on(target=current_assembly,
fmin=int(cols[3]) - 1,
fmax=int(cols[4]),
strand=cols[6])
# mRNA
mRNA = things.mRNA(id=feat_id + '.t1', parent=gene)
mRNA.locate_on(target=current_assembly,
fmin=int(cols[3]) - 1,
fmax=int(cols[4]),
strand=cols[6])
gene.add_mRNA(mRNA)
mRNAs[mRNA.id] = mRNA
if feat_id in exon_count_by_mRNA:
raise Exception(
"ERROR: two different mRNAs found with same ID: {0}".
format(feat_id))
else:
exon_count_by_mRNA[feat_id + '.t1'] = 0
# CDS / exons
parent_id = gff.column_9_value(cols[8], 'ID') + '.t1'
## sanity check that we've seen this parent
if parent_id not in mRNAs:
raise Exception(
"ERROR: Found CDS column with parent ({0}) mRNA not yet in the file"
.format(parent_id))
CDS = things.CDS(id=parent_id + '.cds',
parent=mRNAs[parent_id])
CDS.locate_on(target=current_assembly,
fmin=int(cols[3]) - 1,
fmax=int(cols[4]),
strand=cols[6],
phase=int(cols[7]))
mRNA.add_CDS(CDS)
# exons weren't explicitly defined in the input file, so we need to derive new IDs for them
exon_count_by_mRNA[parent_id] += 1
exon_id = "{0}.exon{1}".format(parent_id,
exon_count_by_mRNA[parent_id])
exon = things.Exon(id=exon_id, parent=mRNAs[parent_id])
exon.locate_on(target=current_assembly,
fmin=int(cols[3]) - 1,
fmax=int(cols[4]),
strand=cols[6])
mRNA.add_exon(exon)
##
gene.print_as(fh=fout, source='Prodigal_v2.6.3', format='gff3')
def main():
parser = argparse.ArgumentParser(
description='Converts CEGMA GFF output to spec-legal GFF3')
# output file to be written
parser.add_argument('-i',
'--input_file',
type=str,
required=True,
help='Path to an input file to parse')
parser.add_argument('-o',
'--output_file',
type=str,
required=True,
help='Path to an output file to be created')
args = parser.parse_args()
fout = open(args.output_file, 'w')
fout.write("##gff-version 3\n")
assemblies = dict()
current_assembly = None
current_gene = None
current_mRNA = None
current_gene_fmin = None
current_gene_fmax = None
current_gene_strand = None
next_id_nums = {'gene': 1, 'mRNA': 1, 'CDS': 1, 'exon': 1}
exon_column_types = ['First', 'Internal', 'Terminal', 'Single']
for line in open(args.input_file, 'r'):
if line.startswith('#'):
continue
cols = line.split("\t")
if len(cols) != 9:
continue
mol_id = cols[0]
feat_type = cols[2]
feat_fmin = int(cols[3]) - 1
feat_fmax = int(cols[4])
if feat_type == 'Single' or feat_type == 'First':
# If there's an existing gene already, print it out
if current_gene is not None:
current_gene.locate_on(target=current_assembly,
fmin=current_gene_fmin,
fmax=current_gene_fmax,
strand=current_gene_strand)
current_mRNA.locate_on(target=current_assembly,
fmin=current_gene_fmin,
fmax=current_gene_fmax,
strand=current_gene_strand)
#current_gene.print_as(format='text')
current_gene.print_as(fh=fout, source='cegma', format='gff3')
# initialize this assembly if we haven't seen it yet
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
current_assembly = assemblies[mol_id]
feat_id = "cegma.gene.{0}".format(next_id_nums['gene'])
next_id_nums['gene'] += 1
gene = things.Gene(id=feat_id)
current_gene = gene
current_gene_strand = cols[6]
current_gene_fmin = feat_fmin
current_gene_fmax = feat_fmax
mRNA_id = "cegma.mRNA.{0}".format(next_id_nums['mRNA'])
next_id_nums['mRNA'] += 1
mRNA = things.mRNA(id=mRNA_id, parent=gene)
gene.add_mRNA(mRNA)
current_mRNA = mRNA
# CEGMA versions < 2.5 had two rows for each exon. We don't need to process both of them, so
# we skip the Exon one because its phase information is incorrect.
if feat_type in exon_column_types:
CDS_id = "cegma.CDS.{0}".format(next_id_nums['CDS'])
next_id_nums['CDS'] += 1
CDS = things.CDS(id=CDS_id, parent=current_mRNA)
CDS.locate_on(target=current_assembly,
fmin=feat_fmin,
fmax=feat_fmax,
strand=cols[6],
phase=cols[7])
current_mRNA.add_CDS(CDS)
exon_id = "cegma.exon.{0}".format(next_id_nums['exon'])
next_id_nums['exon'] += 1
exon = things.Exon(id=exon_id, parent=current_mRNA)
exon.locate_on(target=current_assembly,
fmin=feat_fmin,
fmax=feat_fmax,
strand=cols[6])
mRNA.add_exon(exon)
if feat_fmin < current_gene_fmin:
current_gene_fmin = feat_fmin
if feat_fmax > current_gene_fmax:
current_gene_fmax = feat_fmax
# don't forget the last gene
if current_gene is not None:
current_gene.locate_on(target=current_assembly,
fmin=current_gene_fmin,
fmax=current_gene_fmax,
strand=current_gene_strand)
current_mRNA.locate_on(target=current_assembly,
fmin=current_gene_fmin,
fmax=current_gene_fmax,
strand=current_gene_strand)
current_gene.print_as(fh=fout, source='cegma', format='gff3')
def main():
parser = argparse.ArgumentParser( description='Convert native (GTF) or GFF output from Augustus into GFF3 format')
## output file to be written
parser.add_argument('-i', '--input', type=str, required=True, help='Path to a GFF file created by Augustus' )
parser.add_argument('-o', '--output', type=str, required=True, help='Path to an output file to be created' )
args = parser.parse_args()
assemblies = dict()
current_assembly = None
gene = None
mRNAs = dict()
in_sequence = False
current_sequence = None
current_gene_comment_lines = list()
## Used for tracking the exon count for each gene (for ID purposes)
exon_count_by_mRNA = dict()
fout = open(args.output, mode='wt', encoding='utf-8')
fout.write("##gff-version 3\n")
for line in open(args.input):
if line.startswith("#"):
current_gene_comment_lines.append(line)
if line.startswith("# end gene "):
## purge the comments, then write the gene
fout.write( "".join(current_gene_comment_lines) )
gene.print_as(fh=fout, source='AUGUSTUS', format='gff3')
gene = None
mRNAs = dict()
in_sequence = False
current_sequence = None
current_gene_comment_lines = list()
elif line.startswith("# protein sequence = ["):
pass
elif in_sequence is True:
# build 'current_sequence'
pass
else:
cols = line.split("\t")
if len(cols) != 9:
continue
mol_id = cols[0]
feat_type = cols[2]
if feat_type not in ['gene', 'transcript', 'CDS']:
continue
## The output format is GTF by default and (mostly) GFF if the --gff option is used.
# If GTF is detected, let's start by transforming the 9th column into GFF so the
# libraries can use it
# g1 -> ID=g1
# g1.t1 -> ID=g1.t1;Parent=g1
# transcript_id "g1.t1"; gene_id "g1"; -> ID=g1.t1.cds;Parent=g1.t1
m_gene = re.match('(g\d+)', cols[8])
m_transcript = re.match('((g\d+).t\d+)', cols[8])
m_CDS = re.match('transcript_id "(g\d+.t\d+)"; gene_id "g\d+";', cols[8])
# the input can be in GTF or GFF. We need to reformat the 9th column for the GTF entries
if not cols[8].startswith('ID') and not cols[8].startswith('Parent'):
if feat_type == 'gene':
if m_gene:
cols[8] = "ID={0}".format(m_gene.group(1))
else:
raise Exception("ERROR: GTF detected but gene row has bad 9th column format: {0}".format(cols[8]))
elif feat_type == 'transcript':
if m_transcript:
cols[8] = "ID={0};Parent={1}".format(m_transcript.group(1), m_transcript.group(2))
else:
raise Exception("ERROR: GTF detected but transcript row has bad 9th column format: {0}".format(cols[8]))
elif feat_type == 'CDS':
if m_CDS:
cols[8] = "ID={0}.cds;Parent={0}".format(m_CDS.group(1))
else:
raise Exception("ERROR: GTF detected but CDS row has bad 9th column format: {0}".format(cols[8]))
feat_id = gff.column_9_value(cols[8], 'ID')
## initialize this assembly if we haven't seen it yet
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
current_assembly = assemblies[mol_id]
if feat_type == "gene":
gene = things.Gene(id=feat_id)
gene.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
elif feat_type == "transcript":
mRNA = things.mRNA(id=feat_id, parent=gene)
mRNA.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
gene.add_mRNA(mRNA)
mRNAs[mRNA.id] = mRNA
if feat_id in exon_count_by_mRNA:
raise Exception( "ERROR: two different mRNAs found with same ID: {0}".format(feat_id) )
else:
exon_count_by_mRNA[feat_id] = 0
elif feat_type == "CDS":
parent_id = gff.column_9_value(cols[8], 'Parent')
## sanity check that we've seen this parent
if parent_id not in mRNAs:
raise Exception("ERROR: Found CDS column with parent ({0}) mRNA not yet in the file".format(parent_id))
CDS = things.CDS(id=feat_id, parent=mRNAs[parent_id])
CDS.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6], phase=int(cols[7]) )
mRNA.add_CDS(CDS)
## exons weren't explicitly defined in the input file, so we need to derive new IDs for them
exon_count_by_mRNA[parent_id] += 1
exon_id = "{0}.exon{1}".format(parent_id, exon_count_by_mRNA[parent_id])
exon = things.Exon(id=exon_id, parent=mRNAs[parent_id])
exon.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
mRNA.add_exon(exon)
def main():
parser = argparse.ArgumentParser( description='A GTF -> GFF3 conversion script for StringTie output')
## output file to be written
parser.add_argument('-i', '--input_file', type=str, required=True, help='Path to an input GTF file' )
parser.add_argument('-o', '--output_file', type=str, required=False, help='Path to an output GFF file to be created' )
args = parser.parse_args()
## output will either be a file or STDOUT
ofh = sys.stdout
if args.output_file is not None:
ofh = open(args.output_file, 'wt')
ofh.write("##gff-version 3\n")
assemblies = dict()
current_assembly = None
current_gene = None
current_RNA = None
current_match = None
rna_count_by_gene = defaultdict(int)
exon_count_by_RNA = defaultdict(int)
for line in open(args.input_file, "r"):
cols = line.split("\t")
if len(cols) != 9:
print("SKIPPING: {0}".format(line))
continue
mol_id = cols[0]
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
current_assembly = assemblies[mol_id]
ftype = cols[2]
fmin = int(cols[3]) - 1
fmax = int(cols[4])
strand = cols[6]
col9 = cols[8]
# this makes it look like GFF column 9 so I can use biocodeutils.column_9_value(str, key)
col9 = col9.replace(' "', '="')
gene_id = gff.column_9_value(col9, 'gene_id').replace('"', '')
transcript_id = gff.column_9_value(col9, 'transcript_id').replace('"', '')
cov = gff.column_9_value(col9, 'cov').replace('"', '')
if ftype == 'transcript':
if current_gene is not None and current_gene.id != gene_id:
gene.print_as(fh=ofh, source='StringTie', format='gff3')
if current_gene is None or current_gene.id != gene_id:
gene = things.Gene(id=gene_id)
gene.locate_on( target=current_assembly, fmin=fmin, fmax=fmax, strand=strand )
current_gene = gene
mRNA = things.mRNA(id=transcript_id, parent=current_gene)
mRNA.locate_on( target=current_assembly, fmin=fmin, fmax=fmax, strand=strand )
gene.add_mRNA(mRNA)
current_RNA = mRNA
exon_count_by_RNA[transcript_id] = 0
current_CDS_phase = 0
elif ftype == 'exon':
exon_number = gff.column_9_value(col9, 'exon_number').replace('"', '')
exon_count_by_RNA[transcript_id] += 1
cds_id = "{0}.CDS.{1}".format( current_RNA.id, exon_count_by_RNA[current_RNA.id] )
CDS = things.CDS(id=cds_id, parent=current_RNA)
CDS.locate_on( target=current_assembly, fmin=fmin, fmax=fmax, strand=strand, phase=current_CDS_phase )
current_RNA.add_CDS(CDS)
# calculate the starting phase for the next CDS feature (in case there is one)
current_CDS_phase = 3 - (((fmax - fmin) - current_CDS_phase) % 3)
if current_CDS_phase == 3:
current_CDS_phase = 0
exon_id = "{0}.exon.{1}".format( current_RNA.id, exon_count_by_RNA[current_RNA.id] )
exon = things.Exon(id=exon_id, parent=current_RNA)
exon.locate_on( target=current_assembly, fmin=fmin, fmax=fmax, strand=strand )
current_RNA.add_exon(exon)
# don't forget to do the last gene, if there were any
if current_gene is not None:
gene.print_as(fh=ofh, source='StringTie', format='gff3')
def main():
parser = argparse.ArgumentParser( description='Metagenemark GFF -> GFF3 conversion script')
## output file to be written
parser.add_argument('-i', '--input', type=str, required=True, help='Path to a GFF file created by Metagenemark' )
parser.add_argument('-o', '--output', type=str, required=True, help='Path to an output file to be created' )
parser.add_argument('-p', '--prefix', type=str, required=True, help='Prefix to use in ID generation')
parser.add_argument('-pf', '--protein_fasta', type=str, required=False, help='Optional protein FASTA to be written')
args = parser.parse_args()
assemblies = dict()
current_assembly = None
# key like 2 = SRS014890.polypeptide.2
polypeptide_lookup = dict()
writing_protein = False
gene = None
mRNAs = dict()
current_sequence = None
current_gene_comment_lines = list()
fout = open(args.output, mode='wt', encoding='utf-8')
fout.write("##gff-version 3\n")
if args.protein_fasta is not None:
protein_out = open(args.protein_fasta, mode='wt', encoding='utf-8')
for line in open(args.input):
if line.startswith("#"):
if line.startswith("##FASTA"):
current_gene_comment_lines.append("#{0}".format(line))
elif line.startswith("##end-Protein"):
writing_protein = False
current_gene_comment_lines.append(line)
# since we're already doing our own header, don't duplicate the old one
elif line.startswith("##gff-version"):
continue
else:
if line.startswith("##Protein "):
m = re.match("##Protein (\d+)", line)
if m:
writing_protein = True
protein_out.write(">{0}\n".format(polypeptide_lookup[m.group(1)]))
else:
raise Exception("ERROR: Expected line to match: ##Protein N")
elif writing_protein == True:
protein_out.write(line[2:])
current_gene_comment_lines.append(line)
else:
cols = line.split("\t")
if len(cols) != 9:
continue
mol_id = cols[0]
mol_id_m = re.match('^(\S+) ', mol_id)
if mol_id_m:
print("MATCH!")
mol_id = mol_id_m.group(1)
feat_type = cols[2]
## we expect only gene types here
if feat_type not in ['gene', 'CDS']:
raise Exception("ERROR: expected only 'gene' or 'CDS' feature types as input (depending on metagenemark version).")
m_gene = re.match('gene_id[ =](\d+)', cols[8])
if m_gene:
gene_num = m_gene.group(1)
else:
raise Exception("ERROR: expected 9th column to have gene ids like: gene_id 5")
## initialize this assembly if we haven't seen it yet
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
current_assembly = assemblies[mol_id]
gene = things.Gene(id="{0}.gene.{1}".format(args.prefix, gene_num))
gene.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
mRNA = things.mRNA(id="{0}.mRNA.{1}".format(args.prefix, gene_num), parent=gene.id)
mRNA.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
gene.add_mRNA(mRNA)
CDS = things.CDS(id="{0}.CDS.{1}".format(args.prefix, gene_num), parent=mRNA.id)
CDS.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6], phase=int(cols[7]) )
mRNA.add_CDS(CDS)
exon = things.Exon(id="{0}.exon.{1}".format(args.prefix, gene_num), parent=mRNA.id)
exon.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
mRNA.add_exon(exon)
polypeptide_id = "{0}.polypeptide.{1}".format(args.prefix, gene_num)
polypeptide = things.Polypeptide(id=polypeptide_id, parent=mRNA.id)
polypeptide.locate_on( target=current_assembly, fmin=int(cols[3]) - 1, fmax=int(cols[4]), strand=cols[6] )
mRNA.add_polypeptide(polypeptide)
polypeptide_lookup[gene_num] = polypeptide_id
gene.print_as(fh=fout, source='GeneMark.hmm', format='gff3')
fout.write( "".join(current_gene_comment_lines) )
current_gene_comment_lines = list()
def parse_annotation_line(line, genes, molecules):
cols = line.split("\t")
if len(cols) != 10:
print(
"WARNING: Ignoring the following line because I expected 10 columns:\n{0}"
.format(line))
return False
cols[9] = cols[9].rstrip()
transcript_id = cols[0]
CDS_id = cols[1]
gene_id = get_gene_id_from_transcript(transcript_id)
if cols[5] is None:
gene_product_name = cols[3]
else:
gene_product_name = cols[5]
if transcript_id not in molecules:
raise Exception(
"ERROR: found molecule {0} in referenced in annotation tab file but not in genomic_fasta file"
.format(transcript_id))
if gene_id in genes:
gene = genes[gene_id]
else:
gene = things.Gene(id=gene_id)
genes[gene_id] = gene
mRNA = things.mRNA(id=transcript_id)
gene.add_mRNA(mRNA)
annotation = annotation.FunctionalAnnotation(
product_name=gene_product_name)
ec_num_pattern = re.compile('\d+.')
if cols[9] is not None:
ec_nums = cols[9].split(',')
for ec_num in ec_nums:
m = ec_num_pattern.search(ec_num)
if m:
ec = annotation.ECAnnotation(number=ec_num)
annotation.add_ec_number(ec)
go_pattern = re.compile('(\d+)')
if cols[8] is not None:
go_terms = cols[8].split(',')
for go_term in go_terms:
m = go_pattern.search(go_term)
if m:
go = annotation.GOAnnotation(go_id=go_term)
annotation.add_go_annotation(go)
CDS = things.CDS(id=CDS_id, annotation=annotation)
mRNA.add_CDS(CDS)
def main():
parser = argparse.ArgumentParser(
description='A GTF -> GFF3 conversion script for Cufflinks output')
## output file to be written
parser.add_argument('-i',
'--input_file',
type=str,
required=True,
help='Path to an input GTF file')
parser.add_argument('-o',
'--output_file',
type=str,
required=False,
help='Path to an output GFF file to be created')
parser.add_argument('-e',
'--export_mode',
type=str,
required=False,
default='model',
help='Export mode for results (model or cDNA_match)')
args = parser.parse_args()
if args.export_mode not in ['model', 'cDNA_match']:
raise Exception(
"ERROR: the only valid values for --export_mode are 'model' or 'cDNA_match'"
)
## output will either be a file or STDOUT
ofh = sys.stdout
if args.output_file is not None:
ofh = open(args.output_file, 'wt')
ofh.write("##gff-version 3\n")
assemblies = dict()
current_assembly = None
current_gene = None
current_RNA = None
current_match = None
rna_count_by_gene = defaultdict(int)
exon_count_by_RNA = defaultdict(int)
# each gb_record is a SeqRecord object
for line in open(args.input_file, "r"):
cols = line.split("\t")
if len(cols) != 9:
print("SKIPPING: {0}".format(line))
continue
mol_id = cols[0]
if mol_id not in assemblies:
assemblies[mol_id] = things.Assembly(id=mol_id)
current_assembly = assemblies[mol_id]
ftype = cols[2]
fmin = int(cols[3]) - 1
fmax = int(cols[4])
strand = cols[6]
col9 = cols[8]
# this makes it look like GFF column 9 so I can use biocodeutils.column_9_value(str, key)
col9 = col9.replace(' "', '="')
gene_id = gff.column_9_value(col9, 'gene_id').replace('"', '')
transcript_id = gff.column_9_value(col9,
'transcript_id').replace('"', '')
if ftype == 'transcript':
if args.export_mode == 'model':
if current_gene is not None and current_gene.id != gene_id:
gene.print_as(fh=ofh, source='Cufflinks', format='gff3')
if current_gene is None or current_gene.id != gene_id:
gene = things.Gene(id=gene_id)
gene.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
current_gene = gene
mRNA = things.mRNA(id=transcript_id, parent=current_gene)
mRNA.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
gene.add_mRNA(mRNA)
current_RNA = mRNA
exon_count_by_RNA[transcript_id] = 0
current_CDS_phase = 0
elif args.export_mode == 'cDNA_match':
if current_match is not None and current_match.id != transcript_id:
match.print_as(fh=ofh, source='Cufflinks', format='gff3')
match = things.Match(id=transcript_id,
subclass='cDNA_match',
length=fmax - fmin)
match.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
current_match = match
elif ftype == 'exon':
exon_number = gff.column_9_value(col9,
'exon_number').replace('"', '')
if args.export_mode == 'model':
exon_count_by_RNA[transcript_id] += 1
cds_id = "{0}.CDS.{1}".format(
current_RNA.id, exon_count_by_RNA[current_RNA.id])
CDS = things.CDS(id=cds_id, parent=current_RNA)
CDS.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand,
phase=current_CDS_phase)
current_RNA.add_CDS(CDS)
# calculate the starting phase for the next CDS feature (in case there is one)
current_CDS_phase = 3 - ((
(fmax - fmin) - current_CDS_phase) % 3)
if current_CDS_phase == 3:
current_CDS_phase = 0
exon_id = "{0}.exon.{1}".format(
current_RNA.id, exon_count_by_RNA[current_RNA.id])
exon = things.Exon(id=exon_id, parent=current_RNA)
exon.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
current_RNA.add_exon(exon)
elif args.export_mode == 'cDNA_match':
mp_id = "{0}.match_part.{1}".format(transcript_id, exon_number)
mp = things.MatchPart(id=mp_id,
parent=current_match,
length=fmax - fmin)
mp.locate_on(target=current_assembly,
fmin=fmin,
fmax=fmax,
strand=strand)
current_match.add_part(mp)
# don't forget to do the last gene, if there were any
if args.export_mode == 'model':
if current_gene is not None:
gene.print_as(fh=ofh, source='GenBank', format='gff3')
elif args.export_mode == 'cDNA_match':
if current_match is not None:
match.print_as(fh=ofh, source='Cufflinks', format='gff3')