BGF: The Beijing Gene Finder (evaluation version 1.01)
Please report bugs to: Mirror site in Fudan University
BGF is written at the Beijing Genomics Institute (BGI). It is a hidden Markov model (HMM) and dynamic programming based ab initio gene prediction program. Input sequence length: [100, 500K].
It may accept multiple genomic sequences in FASTA format from a single file.
Input your sequence and get your result:       [Help]

File upload:

Heng Li, Jin-song Liu, Zhao Xu et al., Test data sets and evaluation of gene predictions on the rice genome, J. Computer Science and Technology, accepted for publication.
Test Data Sets:
A single-gene set OsSNG550 and a multi-gene set OsMTG62 as well as a README file are downloadable by clicking here.

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