To install this package, start R and enter:

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

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

GLAD

 

   

This is the development version of GLAD; for the stable release version, see GLAD.

Gain and Loss Analysis of DNA

Bioconductor version: Development (3.5)

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 2.39.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 11.5 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
Build Report  

Package Archives

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

Package Source GLAD_2.39.0.tar.gz
Windows Binary GLAD_2.39.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) GLAD_2.39.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GLAD
Package Short Url http://bioconductor.org/packages/GLAD/
Package Downloads Report Download Stats

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