GLAD

Gain and Loss Analysis of DNA

Bioconductor version: Development (3.0)

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>

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("GLAD")

To cite this package in a publication, start R and enter:

    citation("GLAD")

Documentation

PDF R Script GLAD
PDF   Reference Manual

Details

biocViews CopyNumberVariation, Microarray, Software
Version 2.29.1
In Bioconductor since BioC 1.6 (R-2.1) or earlier
License GPL-2
Depends R (>= 2.10)
Imports
Suggests aws, tcltk
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
Depends On Me ITALICS, MANOR, seqCNA
Imports Me ADaCGH2, ITALICS, MANOR, snapCGH
Suggests Me

Package Downloads

Package Source GLAD_2.29.1.tar.gz
Windows Binary GLAD_2.29.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) GLAD_2.29.1.tgz
Mac OS X 10.9 (Mavericks)
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