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 package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see GLAD.
Gain and Loss Analysis of DNA
Bioconductor version: 3.3
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")
| R Script | GLAD | |
| Reference Manual |
Details
| biocViews | CopyNumberVariation, Microarray, Software |
| Version | 2.36.0 |
| 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_2.36.0.tar.gz |
| Windows Binary | GLAD_2.36.0.zip (32- & 64-bit) |
| Mac OS X 10.9 (Mavericks) | GLAD_2.36.0.tgz |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/GLAD/tree/release-3.3 |
| Package Short Url | http://bioconductor.org/packages/GLAD/ |
| Package Downloads Report | Download Stats |
Documentation »
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