| Literature DB >> 23978768 |
Bhusan K Kuntal1, Tarini Shankar Ghosh, Sharmila S Mande.
Abstract
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/.Entities:
Keywords: Algorithms; Metagenomics; Microbial interactions; Software
Mesh:
Year: 2013 PMID: 23978768 DOI: 10.1016/j.ygeno.2013.08.004
Source DB: PubMed Journal: Genomics ISSN: 0888-7543 Impact factor: 5.736