Prediction of translation initiation site for microbial genomes with TriTISA
Prediction of translation initiation site for microbial genomes with TriTISA
复制标题
使用 TriTISA 预测微生物基因组的翻译起始位点
DOI：
10.1093/bioinformatics/btn576
复制
发表时间：
2009-01-01
期刊：
影响因子：
5.8
通讯作者：
She, Zhen-Su
中科院分区：
文献类型：
--
作者：
Hu, Gang-Qing;Zheng, Xiaobin;She, Zhen-Su
我们报道了一种新的、简单的方法，TriTISA，用于准确预测微生物基因组的翻译起始点(TIS)。TriTISA根据进化特性将所有候选TIE分为三类，并用马尔可夫模型来描述它们。然后，它使用贝叶斯方法来选择真正的TIS，并采用无监督的迭代程序。对实验验证的TIS数据的评估表明，对于微生物基因组TIS预测，TriTISA总体上比所有其他最先进的方法都要好。特别是，TriTISA被证明具有稳健的准确性，与初始标注的质量无关。
We report a new and simple method, TriTISA, for accurate prediction of translation initiation site (TIS) of microbial genomes. TriTISA classifies all candidate TISs into three categories based on evolutionary properties, and characterizes them in terms of Markov models. Then, it employs a Bayesian methodology for the selection of true TIS with a non-supervised, iterative procedure. Assessment on experimentally verified TIS data shows that TriTISA is overall better than all other methods of the state-of-the-art for microbial genome TIS prediction. In particular, TriTISA is shown to have a robust accuracy independent of the quality of initial annotation.