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SigTree: A Microbial Community Analysis Tool to Identify and Visualize Significantly Responsive Branches in a Phylogenetic Tree

机译:SigTree:一种微生物群落分析工具用于识别和可视化系统发育树中的显着响应性分支

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摘要

Microbial community analysis experiments to assess the effect of a treatment intervention (or environmental change) on the relative abundance levels of multiple related microbial species (or operational taxonomic units) simultaneously using high throughput genomics are becoming increasingly common. Within the framework of the evolutionary phylogeny of all species considered in the experiment, this translates to a statistical need to identify the phylogenetic branches that exhibit a significant consensus response (in terms of operational taxonomic unit abundance) to the intervention. We present the R software package SigTree, a collection of flexible tools that make use of meta-analysis methods and regular expressions to identify and visualize significantly responsive branches in a phylogenetic tree, while appropriately adjusting for multiple comparisons.
机译:同时使用高通量基因组学来评估治疗干预(或环境变化)对多种相关微生物物种(或操作生物分类单位)的相对丰度水平的影响的微生物群落分析实验变得越来越普遍。在实验中考虑的所有物种的进化系统发育的框架内,这转化为统计上的需求,以识别对干预措施表现出显着共识反应的系统发育分支(就操作分类单位丰度而言)。我们提出了R软件包SigTree,这是一组灵活的工具,利用元分析方法和正则表达式来识别和可视化系统树中反应显着的分支,同时适当地调整多个比较。

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