Song Weizhi, Steensen Kerrin, Thomas Torsten
Centre for Marine Bio-Innovation, University of New South Wales, Sydney, Australia.
School of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, Australia.
PeerJ. 2017 Nov 8;5:e4015. doi: 10.7717/peerj.4015. eCollection 2017.
The development and application of metagenomic approaches have provided an opportunity to study and define horizontal gene transfer (HGT) on the level of microbial communities. However, no current metagenomic data simulation tools offers the option to introduce defined HGT within a microbial community. Here, we present HgtSIM, a pipeline to simulate HGT event among microbial community members with user-defined mutation levels. It was developed for testing and benchmarking pipelines for recovering HGTs from complex microbial datasets. HgtSIM is implemented in Python3 and is freely available at: https://github.com/songweizhi/HgtSIM.
宏基因组学方法的发展与应用为在微生物群落水平上研究和定义水平基因转移(HGT)提供了契机。然而,目前尚无宏基因组数据模拟工具能够在微生物群落中引入特定的水平基因转移。在此,我们展示了HgtSIM,这是一种可在具有用户定义突变水平的微生物群落成员之间模拟水平基因转移事件的流程。它是为测试和评估从复杂微生物数据集中恢复水平基因转移的流程而开发的。HgtSIM用Python3实现,可在以下网址免费获取:https://github.com/songweizhi/HgtSIM。