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GLAD

This is the development version of GLAD; for the stable release version, see GLAD.

Gain and Loss Analysis of DNA

Bioconductor version: Development (3.18)

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 "4.3") and enter: 

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")
GLAD PDF R Script
Reference Manual PDF

Details

biocViews CopyNumberVariation, Microarray, Software
Version 2.65.0
In Bioconductor since BioC 1.6 (R-2.1) or earlier (> 18 years)
License GPL-2
Depends R (>= 2.10)
Imports aws
Linking To
Suggests
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'.
Enhances
URL http://bioinfo.curie.fr
See More
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_2.65.0.tar.gz
Windows Binary GLAD_2.65.0.zip
macOS Binary (x86_64)
macOS Binary (arm64) GLAD_2.65.0.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