#!/usr/bin/env python
"""Convert a GFF and associated FASTA file into GenBank format.
    gff_to_genbank.py <GFF annotation file> <FASTA sequence file>
import sys
import os
from Bio import SeqIO
from Bio.Alphabet import generic_dna
from Bio import Seq
from BCBio import GFF
def main(gff_file, fasta_file):
    out_file = "%s.gb" % os.path.splitext(gff_file)[0]
    fasta_input = SeqIO.to_dict(SeqIO.parse(fasta_file, "fasta", generic_dna))
    gff_iter = GFF.parse(gff_file, fasta_input)
    SeqIO.write(_check_gff(_fix_ncbi_id(gff_iter)), out_file, "genbank")
def _fix_ncbi_id(fasta_iter):
    """GenBank identifiers can only be 16 characters; try to shorten NCBI.
    for rec in fasta_iter:
        if len(rec.name) > 16 and rec.name.find("|") > 0:
            new_id = [x for x in rec.name.split("|") if x][-1]
            print "Warning: shortening NCBI name %s to %s" % (rec.id, new_id)
            rec.id = new_id
            rec.name = new_id
        yield rec
def _check_gff(gff_iterator):
    """Check GFF files before feeding to SeqIO to be sure they have sequences.
    for rec in gff_iterator:
        if isinstance(rec.seq, Seq.UnknownSeq):
            print "Warning: FASTA sequence not found for '%s' in GFF file" % (
            rec.seq.alphabet = generic_dna
        yield _flatten_features(rec)
def _flatten_features(rec):
    """Make sub_features in an input rec flat for output.
    GenBank does not handle nested features, so we want to make
    everything top level.
    out = []
    for f in rec.features:
        cur = [f]
        while len(cur) > 0:
            nextf = []
            for curf in cur:
                if len(curf.sub_features) > 0:
            cur = nextf
    rec.features = out
    return rec
if __name__ == "__main__":