Vega
An R package for copy number data segmentation
Bioconductor version: 2.10
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 <morganellaalx at gmail.com>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("Vega")
To cite this package in a publication, start R and enter:
citation("Vega")
Documentation
| R Script | Vega | |
| Reference Manual |
Details
| biocViews | DNACopyNumber, Software, aCGH |
| Depends | R (>= 2.10) |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL-2 |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.4.0 |
| Since | Bioconductor 2.8 (R-2.13) |
Package Downloads
| Package Source | Vega_1.4.0.tar.gz |
| Windows Binary | Vega_1.4.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | Vega_1.4.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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