Literature DB >> 22692220

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

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.html

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Year:  2012        PMID: 22692220      PMCID: PMC3413388          DOI: 10.1093/bioinformatics/bts338

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  3 in total

1.  Microbial diversity in the deep sea and the underexplored "rare biosphere".

Authors:  Mitchell L Sogin; Hilary G Morrison; Julie A Huber; David Mark Welch; Susan M Huse; Phillip R Neal; Jesus M Arrieta; Gerhard J Herndl
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-31       Impact factor: 11.205

2.  OTUbase: an R infrastructure package for operational taxonomic unit data.

Authors:  Daniel Beck; Matt Settles; James A Foster
Journal:  Bioinformatics       Date:  2011-04-15       Impact factor: 6.937

3.  UniFrac--an online tool for comparing microbial community diversity in a phylogenetic context.

Authors:  Catherine Lozupone; Micah Hamady; Rob Knight
Journal:  BMC Bioinformatics       Date:  2006-08-07       Impact factor: 3.169

  3 in total
  4 in total

1.  SEED 2: a user-friendly platform for amplicon high-throughput sequencing data analyses.

Authors:  Tomáš Vetrovský; Petr Baldrian; Daniel Morais
Journal:  Bioinformatics       Date:  2018-07-01       Impact factor: 6.937

2.  The urinary microbiome shows different bacterial genera in renal transplant recipients and non-transplant patients at time of acute kidney injury - a pilot study.

Authors:  Daniela Gerges-Knafl; Peter Pichler; Alexander Zimprich; Christoph Hotzy; Wolfgang Barousch; Rita M Lang; Elisabeth Lobmeyr; Sabina Baumgartner-Parzer; Ludwig Wagner; Wolfgang Winnicki
Journal:  BMC Nephrol       Date:  2020-04-06       Impact factor: 2.388

3.  phyloseq: an R package for reproducible interactive analysis and graphics of microbiome census data.

Authors:  Paul J McMurdie; Susan Holmes
Journal:  PLoS One       Date:  2013-04-22       Impact factor: 3.240

Review 4.  Considerations for estimating microbial environmental data concentrations collected from a field setting.

Authors:  Erin E Silvestri; Cynthia Yund; Sarah Taft; Charlena Yoder Bowling; Daniel Chappie; Kevin Garrahan; Eletha Brady-Roberts; Harry Stone; Tonya L Nichols
Journal:  J Expo Sci Environ Epidemiol       Date:  2016-02-17       Impact factor: 5.563

  4 in total

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