BGF: The Beijing Gene Finder (evaluation version 1.01)
|Please report bugs to: email@example.com||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]|
|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.|
This site is maximized to perform best with any latest browser set to 800 x 600.