Bioscience Division, Los Alamos National Laboratory, MS-M888, Los Alamos, NM, 87545, USA.
Sci Rep. 2020 Feb 3;10(1):1723. doi: 10.1038/s41598-020-58356-1.
There is growing interest in reconstructing phylogenies from the copious amounts of genome sequencing projects that target related viral, bacterial or eukaryotic organisms. To facilitate the construction of standardized and robust phylogenies for disparate types of projects, we have developed a complete bioinformatic workflow, with a web-based component to perform phylogenetic and molecular evolutionary (PhaME) analysis from sequencing reads, draft assemblies or completed genomes of closely related organisms. Furthermore, the ability to incorporate raw data, including some metagenomic samples containing a target organism (e.g. from clinical samples with suspected infectious agents), shows promise for the rapid phylogenetic characterization of organisms within complex samples without the need for prior assembly.
人们对从大量针对相关病毒、细菌或真核生物的基因组测序项目中重建系统发育树越来越感兴趣。为了方便构建不同类型项目的标准化和稳健的系统发育树,我们开发了一个完整的生物信息学工作流程,其中包括一个基于网络的组件,用于从测序reads、草稿组装或密切相关的生物体的完整基因组中进行系统发育和分子进化(PhaME)分析。此外,能够整合原始数据,包括一些包含目标生物的宏基因组样本(例如,来自疑似传染病原体的临床样本),有望在无需预先组装的情况下,快速对复杂样本中的生物进行系统发育特征分析。