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.
Bioconductor version: Release (3.4)
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 | 2.38.0 |
In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 12 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 |
Follow Installation instructions to use this package in your R session.
Package Source | GLAD_2.38.0.tar.gz |
Windows Binary | GLAD_2.38.0.zip (32- & 64-bit) |
Mac OS X 10.9 (Mavericks) | GLAD_2.38.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GLAD/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/GLAD/ |
Package Downloads Report | Download Stats |
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