To install this package, start R and enter:

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

In most cases, you don't need to download the package archive at all.

Vega

An R package for copy number data segmentation

Bioconductor version: 2.14

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>

Citation (from within R, enter citation("Vega")):

Installation

To install this package, start R and enter:

source("http://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	1.12.0
In Bioconductor since	BioC 2.8 (R-2.13)
License	GPL-2
Depends	R (>= 2.10)
Imports
Suggests
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source	Vega_1.12.0.tar.gz
Windows Binary	Vega_1.12.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	Vega_1.12.0.tgz
Mac OS X 10.9 (Mavericks)	Vega_1.12.0.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats

Workflows »

Common Bioconductor workflows include:

Oligonucleotide Arrays
High-throughput Sequencing
Counting Reads for Differential Expression (parathyroideSE vignette)
Annotation
Annotating Variants
Annotating Ranges
Flow Cytometry and other assays
Candidate Binding Sites for Known Transcription Factors
Cloud-enabled cis-eQTL search and annotation

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