GLAD

This package is for version 3.18 of Bioconductor; for the stable, up-to-date release version, see GLAD.

Gain and Loss Analysis of DNA

Bioconductor version: 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")
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

Need some help? Ask on the Bioconductor Support site!

Details

biocViews CopyNumberVariation, Microarray, Software

Version 2.66.0

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'.

URL http://bioinfo.curie.fr

Suggests

Linking To

Enhances

Depends On Me ADaCGH2, ITALICS, seqCNA

Imports Me ITALICS, MANOR, snapCGH

Suggests Me aroma.cn, aroma.core

Links To Me

Build Report Build Report

Package Archives

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

Source Package GLAD_2.66.0.tar.gz

Windows Binary GLAD_2.66.0.zip

macOS Binary (x86_64) GLAD_2.66.0.tgz

macOS Binary (arm64) GLAD_2.66.0.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/

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