
Abstract Summary: 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.html Contact: wade@kingcopeland.com; zabdo@uidaho.edu Supplementary Information: Supplementary data and figures are available at Bioinformatics online.
Principal Component Analysis, User-Computer Interface, Multivariate Analysis, Computer Graphics, Cluster Analysis, Metagenome, Biodiversity, Sequence Analysis, Software
Principal Component Analysis, User-Computer Interface, Multivariate Analysis, Computer Graphics, Cluster Analysis, Metagenome, Biodiversity, Sequence Analysis, Software
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 5 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
