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GLAD

This is the released version of GLAD; for the devel version, see GLAD.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

Gain and Loss Analysis of DNA


Bioconductor version: Release (3.23)

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")):

Philippe Hupe. GLAD: Gain and Loss Analysis of DNA. doi:10.18129/B9.bioc.GLAD, R package version 2.76.0, https://bioconductor.org/packages/GLAD.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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 ManualPDF

Details

biocViews CopyNumberVariation, Microarray, Software
Version2.76.0
In Bioconductor sinceBioC 1.6 (R-2.1) or earlier (> 21.5 years)
License GPL-2
Depends R (>= 2.10)
Imports aws
System Requirementsgsl. 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'.
URLhttp://bioinfo.curie.fr
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Imports Me ITALICS, MANOR
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Package Archives

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

Source Package GLAD_2.76.0.tar.gz
Windows Binary (x86_64) GLAD_2.76.0.zip
macOS Binary (big-sur-x86_64) GLAD_2.76.0.tgz
macOS Binary (sonoma-arm64) GLAD_2.76.0.tgz
Source Repositorygit 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/
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