GLAD

DOI: 10.18129/B9.bioc.GLAD    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see GLAD.

Gain and Loss Analysis of DNA

Bioconductor version: 3.15

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")

 

PDF R Script GLAD
PDF   Reference Manual

Details

biocViews CopyNumberVariation, Microarray, Software
Version 2.60.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 17.5 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 RnBeads
Links To Me
Build Report  

Package Archives

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

Source Package GLAD_2.60.0.tar.gz
Windows Binary GLAD_2.60.0.zip
macOS Binary (x86_64) GLAD_2.60.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GLAD
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GLAD
Package Short Url https://bioconductor.org/packages/GLAD/
Package Downloads Report Download Stats

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