The structure of complex biological systems of microbial communities reflects not only their diversity or function but also the environments they live in. By using a graph-theory-based algorithm, the Reverse Ecology approach can analyze metabolic networks of all species in a microbial community, and predicting the metabolic interface between species and their environment. Here, we present RevEcoR, an R package and a shiny web application that implements Reverse Ecology algorithm, which can obtain large-scale ecological insights into species’ ecology directly from high-throughput metagenomic data. The software shows great potential in the study of microbiomes. http://yiluheihei.shinyapps.io/RevEcoR.

http://cran.r-project.org/web/packages/RevEcoR/

Academy of Military Medical Sciences (军事医学科学院)

Yang Cao (曹洋), Fei Li (李非), Xiaochen Bo(伯晓晨)

yiluheihei@gmail.com

BMC bioinformatics, 2016, 17: 294

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