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.

rMAT

   

R implementation from MAT program to normalize and analyze tiling arrays and ChIP-chip data.

Bioconductor version: 3.2

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("rMAT")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("rMAT")

 

PDF The rMAT users guide
PDF   Reference Manual

Details

biocViews Microarray, Preprocessing, Software
Version 3.20.0
In Bioconductor since BioC 2.4 (R-2.9) (7 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
Enhances
URL http://www.rglab.org
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Package Source rMAT_3.20.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard) rMAT_3.20.0.tgz
Mac OS X 10.9 (Mavericks) rMAT_3.20.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/rMAT/tree/release-3.2
Package Short Url http://bioconductor.org/packages/rMAT/
Package Downloads Report Download Stats

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