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


BACKGROUND
The C++ source code is freely available under the GNU GPL license via http://mech.ctb.pku.edu.cn/MetaTISA/.
Hu
Gang-Qing
GQ
State Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering and Center for Theoretical Biology, Peking University, Beijing 100871, China.
Guo
Jiang-Tao
JT
Liu
Yong-Chu
YC
Zhu
Huaiqiu
H
D005796:Genes; D023281:Genomics / Q000379:methods*; D010442:Peptide Chain Initiation, Translational; D010802:Phylogeny; D017422:Sequence Analysis, DNA / Q000379:methods; D012984:Software