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

Wade K. Copeland | Zendy; Vandhana Krishnan | Zendy; Daniel Beck | Zendy; Matthew L. Settles | Zendy; James A. Foster | Zendy; Kyu-Chul Cho | Zendy; Mitch D. Day | Zendy; Roxana Hickey | Zendy; Ursel M. E. Schütte | Zendy; Xia Zhou | Zendy; Christopher J. Williams | Zendy; Larry J. Forney | Zendy; Zaid Abdo | Zendy

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

Author(s) -

Wade K. Copeland,

Vandhana Krishnan,

Daniel Beck,

Matthew L. Settles,

James A. Foster,

Kyu-Chul Cho,

Mitch D. Day,

Roxana Hickey,

Ursel M. E. Schütte,

Xia Zhou,

Christopher J. Williams,

Larry J. Forney,

Zaid Abdo

Publication year - 2012

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/bts338

Subject(s) - graphical user interface , computer science , modular design , bioconductor , user interface , interface (matter) , software engineering , world wide web , human–computer interaction , programming language , operating system , biochemistry , chemistry , bubble , maximum bubble pressure method , gene

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.

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