A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: Release (2.11)

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

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

Maintainer: Robert Scharpf <rscharpf at>

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


biocViews Bioinformatics, CopyNumberVariants, GeneticVariability, SNP, Software, Visualization
Version 1.20.3
In Bioconductor since BioC 2.1 (R-2.6)
License LGPL-2
Depends R (>= 2.14.0)
Imports stats, utils, methods, Biobase, oligoClasses(>= 1.19.36),lattice, IRanges(>= 1.13.22), grid, msm, crlmm, foreach, GenomicRanges, matrixStats
Suggests genomewidesnp6Crlmm, hapmapsnp6, RColorBrewer, genefilter, RSQLite, foreach, RUnit, pd.mapping50k.hind240, SNPchip(>= 2.2.0)
System Requirements
Depends On Me
Imports Me MinimumDistance
Suggests Me oligoClasses

Package Downloads

Package Source VanillaICE_1.20.3.tar.gz
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MacOS 10.5 (Leopard) VanillaICE_1.20.3.tgz
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