| Literature DB >> 19389734 |
Gang-Qing Hu1, Jiang-Tao Guo, Yong-Chu Liu, Huaiqiu Zhu.
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/.Entities:
Mesh:
Year: 2009 PMID: 19389734 DOI: 10.1093/bioinformatics/btp272
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937