Vega

DOI: 10.18129/B9.bioc.Vega    

An R package for copy number data segmentation

Bioconductor version: Release (3.6)

Vega (Variational Estimator for Genomic Aberrations) is an algorithm that adapts a very popular variational model (Mumford and Shah) used in image segmentation so that chromosomal aberrant regions can be efficiently detected.

Author: Sandro Morganella

Maintainer: Sandro Morganella <sandro at ebi.ac.uk>

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("Vega")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("Vega")

 

PDF	R Script	Vega
PDF		Reference Manual

Details

biocViews	CopyNumberVariation, Software, aCGH
Version	1.26.0
In Bioconductor since	BioC 2.8 (R-2.13) (7 years)
License	GPL-2
Depends	R (>= 2.10)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
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Build Report

Package Archives

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

Source Package	Vega_1.26.0.tar.gz
Windows Binary	Vega_1.26.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan)	Vega_1.26.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/Vega
Package Short Url	http://bioconductor.org/packages/Vega/
Package Downloads Report	Download Stats