Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA.
Bioinformatics. 2012 Aug 15;28(16):2198-9. doi: 10.1093/bioinformatics/bts338. Epub 2012 Jun 12.
Microbial communities have an important role in natural ecosystems and have an impact on animal and human health. Intuitive graphic and analytical tools that can facilitate the study of these communities are in short supply. This article introduces Microbial Community Analysis GUI, a graphical user interface (GUI) for the R-programming language (R Development Core Team, 2010). With this application, researchers can input aligned and clustered sequence data to create custom abundance tables and perform analyses specific to their needs. This GUI provides a flexible modular platform, expandable to include other statistical tools for microbial community analysis in the future.
The mcaGUI package and source are freely available as part of Bionconductor at http://www.bioconductor.org/packages/release/bioc/html/mcaGUI.html
微生物群落在自然生态系统中具有重要作用,并对动物和人类健康产生影响。直观的图形和分析工具可以促进对这些群落的研究,但目前此类工具十分短缺。本文介绍了微生物群落分析 GUI,这是一个用于 R 编程语言(R Development Core Team,2010)的图形用户界面(GUI)。使用这个应用程序,研究人员可以输入对齐和聚类的序列数据,创建自定义丰度表,并根据需要执行特定的分析。这个 GUI 提供了一个灵活的模块化平台,可扩展到包括其他微生物群落分析的统计工具。
mcaGUI 包和源代码可作为 Bionconductor 的一部分免费获得,网址为 http://www.bioconductor.org/packages/release/bioc/html/mcaGUI.html