To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("GLAD")

In most cases, you don't need to download the package archive at all.

GLAD

Gain and Loss Analysis of DNA

Bioconductor version: 3.0

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:

source("http://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	2.30.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier
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	ITALICS, MANOR, seqCNA
Imports Me	ADaCGH2, ITALICS, MANOR, snapCGH
Suggests Me
Build Report

Package Archives

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

Package Source	GLAD_2.30.0.tar.gz
Windows Binary	GLAD_2.30.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	GLAD_2.30.0.tgz
Mac OS X 10.9 (Mavericks)	GLAD_2.30.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats

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