| Literature DB >> 22692220 |
Wade K Copeland1, Vandhana Krishnan, Daniel Beck, Matt Settles, James A Foster, Kyu-Chul Cho, Mitch Day, Roxana Hickey, Ursel M E Schütte, Xia Zhou, Christopher J Williams, Larry J Forney, Zaid Abdo.
Abstract
UNLABELLED: 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. AVAILABILITY: The mcaGUI package and source are freely available as part of Bionconductor at http://www.bioconductor.org/packages/release/bioc/html/mcaGUI.htmlEntities:
Mesh:
Year: 2012 PMID: 22692220 PMCID: PMC3413388 DOI: 10.1093/bioinformatics/bts338
Source DB: PubMed Journal: Bioinformatics ISSN: 1367-4803 Impact factor: 6.937