VanillaICE

A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: 2.10

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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("VanillaICE")

Documentation

PDF R Script crlmmDownstream
PDF R Script VanillaICE Vignette
PDF   Reference Manual

Details

biocViews Bioinformatics, CopyNumberVariants, GeneticVariability, SNP, Software, Visualization
Depends R (>= 2.14.0)
Imports stats, utils, methods, Biobase, oligoClasses(>= 1.17.36), lattice, IRanges(>= 1.13.22), grid, msm, crlmm(>= 1.13.12), foreach
Suggests genomewidesnp6Crlmm, hapmapsnp6, RColorBrewer, genefilter, RSQLite, foreach, RUnit, pd.mapping50k.hind240, SNPchip(>= 2.0.3)
System Requirements
License LGPL-2
URL
Depends On Me
Imports Me MinimumDistance
Suggests Me oligoClasses
Version 1.18.0
Since Bioconductor 2.1 (R-2.6)

Package Downloads

Package Source VanillaICE_1.18.0.tar.gz
Windows Binary VanillaICE_1.18.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary VanillaICE_1.18.0.tgz
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