GLAD

Gain and Loss Analysis of DNA

Bioconductor version: Release (2.7)

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

Author: Philippe Hupe

Maintainer: Philippe Hupe

To install this package, start R and enter:

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

Documentation

PDF

R Script

GLAD

Reference Manual

Details

biocViews	Microarray, CopyNumberVariants
Depends	R
Imports
Suggests	aws, tcltk
System Requirements	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'.
License	GPL
URL	http://bioinfo.curie.fr
Depends On Me	ITALICS, MANOR
Imports Me	ITALICS, MANOR, snapCGH
Suggests Me	ADaCGH2
Version	2.12.0

Package Downloads

Package Source	GLAD_2.12.0.tar.gz
Windows Binary	GLAD_2.12.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	GLAD_2.12.0.tgz
Package Downloads Report	Download Stats