Tithi Saima Sultana, Aylward Frank O, Jensen Roderick V, Zhang Liqing
Department of Computer Science, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA, United States of America.
Department of Biological Sciences, Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, VA, United States of America.
PeerJ. 2018 Jan 12;6:e4227. doi: 10.7717/peerj.4227. eCollection 2018.
With the increase in the availability of metagenomic data generated by next generation sequencing, there is an urgent need for fast and accurate tools for identifying viruses in host-associated and environmental samples. In this paper, we developed a stand-alone pipeline called FastViromeExplorer for the detection and abundance quantification of viruses and phages in large metagenomic datasets by performing rapid searches of virus and phage sequence databases. Both simulated and real data from human microbiome and ocean environmental samples are used to validate FastViromeExplorer as a reliable tool to quickly and accurately identify viruses and their abundances in large datasets.
随着下一代测序技术产生的宏基因组数据可用性的增加,迫切需要快速准确的工具来识别宿主相关和环境样本中的病毒。在本文中,我们开发了一个名为FastViromeExplorer的独立流程,通过对病毒和噬菌体序列数据库进行快速搜索,来检测和定量大型宏基因组数据集中病毒和噬菌体的丰度。来自人类微生物组和海洋环境样本的模拟数据和真实数据均用于验证FastViromeExplorer作为一种可靠工具,能够在大型数据集中快速准确地识别病毒及其丰度。