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Updated: Jun 23, 2026

De novo Identification of Actively Translated Open Reading Frames with Ribosome Profiling Data
Published on: February 18, 2022
MetaTISA: Metagenomic Translation Initiation Site Annotator for improving gene start prediction
Gang-Qing Hu1, Jiang-Tao Guo, Yong-Chu Liu
1State Key Laboratory for Turbulence and Complex Systems, Department of Biomedical Engineering and Center for Theoretical Biology, Peking University, Beijing 100871, China.
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/.
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