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Bioinformatics. 2009 Jul 15;25(14):1843-5. doi: 10.1093/bioinformatics/btp272. Epub 2009 Apr 23.

MetaTISA: Metagenomic Translation Initiation Site Annotator for improving gene start prediction.

Author information

  • 1State Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering and Center for Theoretical Biology, Peking University, Beijing 100871, China.

Abstract

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 translation initiation sites (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/.

PMID:
19389734
DOI:
10.1093/bioinformatics/btp272
[PubMed - indexed for MEDLINE]
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