GLAD
This package is for version 3.16 of Bioconductor; for the stable, up-to-date release version, see GLAD.
Gain and Loss Analysis of DNA
Bioconductor version: 3.16
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 (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("GLAD")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GLAD")
Reference Manual
PDF
Details
Version
2.62.0
In Bioconductor since
BioC 1.6 (R-2.1) or earlier (> 19 years)
License
GPL-2
Depends
R (>= 2.10)
Imports
aws
System Requirements
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'.
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package
GLAD_2.62.0.tar.gz
Windows Binary
GLAD_2.62.0.zip
macOS Binary (x86_64)
GLAD_2.62.0.tgz
macOS Binary (arm64)
GLAD_2.62.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/GLAD
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/GLAD
Bioc Package Browser
https://code.bioconductor.org/browse/GLAD/
Package Short Url
https://bioconductor.org/packages/GLAD/
Package Downloads Report
Download Stats
Old Source Packages for BioC 3.16
Source Archive