mcaGUI: microbial community analysis R-Graphical User Interface (GUI).
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.


BACKGROUND
The mcaGUI package and source are freely available as part of Bionconductor at http://www.bioconductor.org/packages/release/bioc/html/mcaGUI.html
Department of Biological Sciences, University of Idaho, Moscow, ID 83844, USA. wade@kingcopeland.com
Wade K
WK
Copeland
Vandhana
V
Krishnan
Daniel
D
Beck
Matt
M
Settles
James A
JA
Foster
Kyu-Chul
KC
Cho
Mitch
M
Day
Roxana
R
Hickey
Ursel M E
UM
Schütte
Xia
X
Zhou
Christopher J
CJ
Williams
Larry J
LJ
Forney
Zaid
Z
Abdo
D044822:Biodiversity; D016000:Cluster Analysis; D003196:Computer Graphics; D054892:Metagenome; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D017421:Sequence Analysis / Q000379:methods; D012984:Software; D014584:User-Computer Interface