Bio-Sciences R&D Division, TCS Innovation Labs, Tata Research Development & Design Centre, Tata Consultancy Service Ltd., 54-B Hadapsar Industrial Estate, Pune 411 013, Maharashtra, India.
Genomics. 2013 Oct;102(4):409-18. doi: 10.1016/j.ygeno.2013.08.004. Epub 2013 Aug 24.
A key goal in comparative metagenomics is to identify microbial group(s) which are responsible for conferring specific characteristics to a given environment. These characteristics are the result of the inter-microbial interactions between the resident microbial groups. We present a new GUI-based comparative metagenomic analysis application called Community-Analyzer which implements a correlation-based graph layout algorithm that not only facilitates a quick visualization of the differences in the analyzed microbial communities (in terms of their taxonomic composition), but also provides insights into the inherent inter-microbial interactions occurring therein. Notably, this layout algorithm also enables grouping of the metagenomes based on the probable inter-microbial interaction patterns rather than simply comparing abundance values of various taxonomic groups. In addition, the tool implements several interactive GUI-based functionalities that enable users to perform standard comparative analyses across microbiomes. For academic and non-profit users, the Community-Analyzer is currently available for download from: http://metagenomics.atc.tcs.com/Community_Analyzer/.
比较宏基因组学的一个主要目标是确定微生物群(多个微生物种群),这些微生物群负责为特定环境赋予特定特征。这些特征是驻留微生物群之间的微生物相互作用的结果。我们提出了一种新的基于图形用户界面的比较宏基因组分析应用程序,称为 Community-Analyzer,它实现了基于相关性的图形布局算法,该算法不仅可以快速可视化分析微生物群落(就其分类组成而言)之间的差异,还可以深入了解其中发生的内在微生物相互作用。值得注意的是,该布局算法还可以根据可能的微生物相互作用模式对宏基因组进行分组,而不仅仅是比较各种分类群的丰度值。此外,该工具还实现了几个基于图形用户界面的交互式功能,使用户能够在微生物组之间执行标准的比较分析。对于学术和非营利用户,Community-Analyzer 目前可从以下网址下载:http://metagenomics.atc.tcs.com/Community_Analyzer/。