GLAD

DOI: 10.18129/B9.bioc.GLAD    

Gain and Loss Analysis of DNA

Bioconductor version: Release (3.7)

Analysis of array CGH data : detection of breakpoints in genomic profiles and assignment of a status (gain, normal or loss) to each chromosomal regions identified.

Author: Philippe Hupe

Maintainer: Philippe Hupe <glad at curie.fr>

Citation (from within R, enter citation("GLAD")):

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("GLAD")

 

PDF R Script GLAD
PDF   Reference Manual

Details

biocViews CopyNumberVariation, Microarray, Software
Version 2.44.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 13.5 years)
License GPL-2
Depends R (>= 2.10)
Imports
LinkingTo
Suggests aws, tcltk
SystemRequirements gsl. Note: users should have GSL installed. Windows users: 'consult the README file available in the inst directory of the source distribution for necessary configuration instructions'.
Enhances
URL http://bioinfo.curie.fr
Depends On Me ADaCGH2, ITALICS, MANOR, seqCNA
Imports Me ITALICS, MANOR, snapCGH
Suggests Me RnBeads
Links To Me
Build Report  

Package Archives

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

Source Package GLAD_2.44.0.tar.gz
Windows Binary GLAD_2.44.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) GLAD_2.44.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GLAD
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GLAD
Package Short Url http://bioconductor.org/packages/GLAD/
Package Downloads Report Download Stats

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