Usage:
>>> import nebgb
>>> rec = nebgb.parse_file("./test/data/simple-1.gb").next()
>>> rec.locus["name"]
'NP_034640'
>>> rec.locus["length"]
182
>>> rec.keywords["source"]["name"]
'house mouse'
>>> rec.features[1]["properties"]["product"]
'interferon beta, fibroblast'
>>> for seq in rec.seqiter:
... print seq
mnnrwilhaafllcfsttalsinykqlqlqertnirkcqelleqlngkinltyradfkip
memtekmqksytafaiqemlqnvflvfrnnfsstgwnetivvrlldelhqqtvflktvle
ekqeerltwemsstalhlksyywrvqrylklmkynsyawmvvraeifrnfliirrltrnf
qn
Alternatively you can use nebgb.parse() to parse a string or iterator that yields lines of a Genbank file.
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