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")

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)

Common Bioconductor workflows include:

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