GLAD

DOI: 10.18129/B9.bioc.GLAD  

This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see GLAD.

Gain and Loss Analysis of DNA

Bioconductor version: 3.17

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 "4.3") 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	2.64.0
In Bioconductor since	BioC 1.6 (R-2.1) or earlier (> 18.5 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	aroma.cn, aroma.core
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	GLAD_2.64.0.tar.gz
Windows Binary	GLAD_2.64.0.zip
macOS Binary (x86_64)	GLAD_2.64.0.tgz
macOS Binary (arm64)	GLAD_2.64.0.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