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.
|     | 
This package is for version 3.1 of Bioconductor; for the stable, up-to-date release version, see GLAD.
Bioconductor version: 3.1
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")):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GLAD")
    To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GLAD")
    
| R Script | GLAD | |
| Reference Manual | 
| biocViews | CopyNumberVariation, Microarray, Software | 
| Version | 2.32.0 | 
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 11 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 | ITALICS, MANOR, seqCNA | 
| Imports Me | ADaCGH2, ITALICS, MANOR, snapCGH | 
| Suggests Me | |
| Build Report | 
Follow Installation instructions to use this package in your R session.
| Package Source | GLAD_2.32.0.tar.gz | 
| Windows Binary | GLAD_2.32.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | GLAD_2.32.0.tgz | 
| Mac OS X 10.9 (Mavericks) | GLAD_2.32.0.tgz | 
| Subversion source | (username/password: readonly) | 
| Git source | https://github.com/Bioconductor-mirror/GLAD/tree/release-3.1 | 
| Package Short Url | http://bioconductor.org/packages/GLAD/ | 
| Package Downloads Report | Download Stats | 
 
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