To install this package, start R and enter:

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

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

VanillaICE

   

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see VanillaICE.

A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: 2.8

Hidden Markov Models for characterizing chromosomal alterations in high throughput SNP arrays

Author: Robert Scharpf <rscharpf at jhsph.edu>, Kevin Scharpf, and Ingo Ruczinski <ingo at jhsph.edu>

Maintainer: Robert Scharpf <rscharpf at jhsph.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("VanillaICE")

 

PDF VanillaICE.pdf
PDF   Reference Manual

Details

biocViews Bioinformatics, CopyNumberVariants, GeneticVariability, SNP, Software, Visualization
Version 1.14.0
In Bioconductor since BioC 2.1 (R-2.6) (8.5 years)
License LGPL-2
Depends R (>= 2.10.0), IRanges, oligoClasses(>= 1.9.53), methods
Imports SNPchip(>= 1.11.2), stats
LinkingTo
Suggests genomewidesnp6Crlmm, hapmapsnp6, RColorBrewer, genefilter, RSQLite
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me SNPchip
Build Report  

Package Archives

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

Package Source VanillaICE_1.14.0.tar.gz
Windows Binary VanillaICE_1.14.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/VanillaICE/tree/release-2.8
Package Short Url http://bioconductor.org/packages/VanillaICE/
Package Downloads Report Download Stats

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