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A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: Release (3.19)

Hidden Markov Models for characterizing chromosomal alteration in high throughput SNP arrays.

Author: Robert Scharpf [aut, cre]

Maintainer: Robert Scharpf <rscharpf at>

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


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if (!require("BiocManager", quietly = TRUE))


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Reference Manual PDF


biocViews CopyNumberVariation, Software
Version 1.66.0
In Bioconductor since BioC 2.1 (R-2.6) (17 years)
License LGPL-2
Depends R (>= 3.5.0), BiocGenerics(>= 0.13.6), GenomicRanges(>= 1.27.6), SummarizedExperiment(>= 1.5.3)
Imports MatrixGenerics, Biobase, S4Vectors(>= 0.23.18), IRanges(>= 1.14.0), oligoClasses(>= 1.31.1), foreach, matrixStats, data.table, grid, lattice, methods, GenomeInfoDb(>= 1.11.4), crlmm, tools, stats, utils, BSgenome.Hsapiens.UCSC.hg18
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Suggests RUnit, human610quadv1bCrlmm
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Enhances doMC, doMPI, doSNOW, doParallel, doRedis
Depends On Me MinimumDistance
Imports Me
Suggests Me oligoClasses
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