GLAD

DOI: 10.18129/B9.bioc.GLAD  

Gain and Loss Analysis of DNA

Bioconductor version: Release (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>

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")

 

PDF	R Script	GLAD
PDF		Reference Manual

Details

biocViews	CopyNumberVariation, Microarray, Software
Version	2.62.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 18 years)
License	GPL-2
Depends	R (>= 2.10)
Imports	aws
LinkingTo
Suggests
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, seqCNA
Imports Me	ITALICS, MANOR, snapCGH
Suggests Me	RnBeads
Links To Me
Build Report

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