To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rMAT")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see rMAT.
Bioconductor version: 3.4
This package is an R version of the package MAT and contains functions to parse and merge Affymetrix BPMAP and CEL tiling array files (using C++ based Fusion SDK and Bioconductor package affxparser), normalize tiling arrays using sequence specific models, detect enriched regions from ChIP-chip experiments. Note: users should have GSL and GenomeGraphs installed. Windows users: 'consult the README file available in the inst directory of the source distribution for necessary configuration instructions'. Snow Leopard users can take advantage of increase speed with Grand Central Dispatch!
Author: Charles Cheung and Arnaud Droit and Raphael Gottardo
Maintainer: Arnaud Droit <arnaud.droit at crchuq.ulaval.ca> and Raphael Gottardo <rgottard at fhcrc.org>
Citation (from within R,
enter citation("rMAT")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("rMAT")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rMAT")
R Script | The rMAT users guide | |
Reference Manual |
biocViews | Microarray, Preprocessing, Software |
Version | 3.24.0 |
In Bioconductor since | BioC 2.4 (R-2.9) (8 years) |
License | Artistic-2.0 |
Depends | R (>= 2.9.0), BiocGenerics(>= 0.1.3), IRanges(>= 1.13.10), Biobase(>= 2.15.1), affxparser |
Imports | stats, methods, BiocGenerics, IRanges, Biobase, affxparser, stats4 |
LinkingTo | |
Suggests | GenomeGraphs, rtracklayer |
SystemRequirements | GSL (GNU Scientific Library) |
Enhances | |
URL | http://www.rglab.org |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | rMAT_3.24.0.tar.gz |
Windows Binary | |
Mac OS X 10.9 (Mavericks) | rMAT_3.24.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/rMAT/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/rMAT/ |
Package Downloads Report | Download Stats |
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