Suzuki Shuji, Ishida Takashi, Ohue Masahito, Kakuta Masanori, Akiyama Yutaka
Department of Computer Science, Graduate School of Information Science and Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, 152-8550, Tokyo, Japan.
Education Academy of Computational Life Sciences (ACLS), Tokyo Institute of Technology, 4259 Nagatsutacho, Midori-ku, Yokohama, 226-8501, Kanagawa, Japan.
Methods Mol Biol. 2017;1611:15-25. doi: 10.1007/978-1-4939-7015-5_2.
Metagenomic analysis based on whole genome shotgun sequencing data requires fast protein sequence homology searches for predicting the function of proteins coded on metagenome short reads. However, huge amounts of sequence data cause even general homology search analyses using BLASTX to become difficult in terms of computational cost. GHOSTX is a sequence homology search tool specifically developed for functional annotation of metagenome sequences. The tool is more than 160 times faster than BLASTX and has sufficient search sensitivity for metagenomic analysis. Using this tool, user can perform functional annotation of metagenomic data within a short time and infer metabolic pathways within an environment.
基于全基因组鸟枪法测序数据的宏基因组分析需要快速的蛋白质序列同源性搜索，以预测宏基因组短读段编码的蛋白质功能。然而，大量的序列数据使得即使使用BLASTX进行一般的同源性搜索分析在计算成本方面也变得困难。GHOSTX是专门为宏基因组序列的功能注释而开发的序列同源性搜索工具。该工具比BLASTX快160多倍，并且对宏基因组分析具有足够的搜索灵敏度。使用这个工具，用户可以在短时间内对宏基因组数据进行功能注释，并推断环境中的代谢途径。
