To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mcaGUI")
In most cases, you don't need to download the package archive at all.
mcaGUI
Microbial Community Analysis GUI
Bioconductor version: 2.14
Microbial community analysis GUI for R using gWidgets.
Author: Wade K. Copeland, Vandhana Krishnan, Daniel Beck, Matt Settles, James Foster, Kyu-Chul Cho, Mitch Day, Roxana Hickey, Ursel M.E. Schutte, Xia Zhou, Chris Williams, Larry J. Forney, Zaid Abdo, Poor Man's GUI (PMG) base code by John Verzani with contributions by Yvonnick Noel
Maintainer: Wade K. Copeland <wade at kingcopeland.com>
Citation (from within R,
enter citation("mcaGUI")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("mcaGUI")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("mcaGUI")
| Reference Manual | ||
| Text | README |
Details
| biocViews | Clustering, GUI, Sequencing, Software, Visualization |
| Version | 1.12.0 |
| In Bioconductor since | BioC 2.8 (R-2.13) |
| License | GPL (>= 2) |
| Depends | lattice, MASS, proto, foreign, gWidgets (>= 0.0-36), gWidgetsRGtk2 (>= 0.0-53), OTUbase, vegan, bpca |
| Imports | |
| Suggests | |
| System Requirements | |
| URL | http://www.ibest.uidaho.edu/ibest/index.php |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | mcaGUI_1.12.0.tar.gz |
| Windows Binary | mcaGUI_1.12.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | mcaGUI_1.12.0.tgz |
| Mac OS X 10.9 (Mavericks) | mcaGUI_1.12.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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