GLAD

DOI: 10.18129/B9.bioc.GLAD    

Gain and Loss Analysis of DNA

Bioconductor version: Release (3.6)

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>

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	2.42.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 13 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
Build Report

Package Archives

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

Source Package	GLAD_2.42.0.tar.gz
Windows Binary	GLAD_2.42.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	GLAD_2.42.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/GLAD
Package Short Url	http://bioconductor.org/packages/GLAD/
Package Downloads Report	Download Stats