GLAD
This is the released version of GLAD; for the devel version, see GLAD.
Gain and Loss Analysis of DNA
Bioconductor version: Release (3.20)
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 "4.4") 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 | R Script | |
| Reference Manual |
Details
| biocViews | CopyNumberVariation, Microarray, Software |
| Version | 2.70.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier (> 19.5 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 | ADaCGH2, 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_2.70.0.tar.gz |
| Windows Binary (x86_64) | GLAD_2.70.0.zip |
| macOS Binary (x86_64) | GLAD_2.70.0.tgz |
| macOS Binary (arm64) | GLAD_2.70.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/GLAD |
| Source Repository (Developer Access) | git clone [email protected]:packages/GLAD |
| Bioc Package Browser | https://code.bioconductor.org/browse/GLAD/ |
| Package Short Url | https://bioconductor.org/packages/GLAD/ |
| Package Downloads Report | Download Stats |