GLAD
This is the development version of GLAD; for the stable release version, see GLAD.
Gain and Loss Analysis of DNA
Bioconductor version: Development (3.22)
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("GLAD")):
      
    Installation
To install this package, start R (version "4.5") 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 | R Script | |
| Reference Manual | 
Details
| biocViews | CopyNumberVariation, Microarray, Software | 
| Version | 2.73.0 | 
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 20.5 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 | 
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | ITALICS | 
| Imports Me | ITALICS, MANOR | 
| 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_2.73.0.tar.gz | 
| Windows Binary (x86_64) | GLAD_2.73.0.zip | 
| macOS Binary (x86_64) | GLAD_2.73.0.tgz | 
| macOS Binary (arm64) | GLAD_2.73.0.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 |