Bioinformatics Advance Access published online on April 23, 2009
Bioinformatics, doi:10.1093/bioinformatics/btp272
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MetaTISA: Metagenomic Translation Initiation Site Annotator for improving gene start prediction



State Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering and Center for Theoretical Biology, Peking University, Beijing 100871, China
*To whom correspondence should be addressed. Prof. Huaiqiu Zhu, E-mail: hqzhu{at}pku.edu.cn, hqzhu{at}mech.pku.edu.cn
| Abstract |
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Summary: We proposed a tool named MetaTISA with an aim to improve TIS prediction of current gene-finders for metagenomes. The method employs a two-step strategy to predict TISs by first clustering metagenomic fragments into phylogenetic groups and then predicting TISs independently for each group in an unsupervised manner. As evaluated on experimentally verified TISs, MetaTISA greatly improves the accuracies of TIS prediction of current gene-finders.
Availability: The C++ source code is freely available under the GNU GPL license via http://mech.ctb.pku.edu.cn/MetaTISA/.
Contact: hqzhu{at}pku.edu.cn
Associate Editor: Dr. Limsoon Wong
The authors wish it to be known that, in their opinion, the first three authors should be regarded as joint First Authors.
Received on February 12, 2009; revised on April 17, 2009; accepted on April 17, 2009