DOI: 10.18129/B9.bioc.VanillaICE    

This is the development version of VanillaICE; for the stable release version, see VanillaICE.

A Hidden Markov Model for high throughput genotyping arrays

Bioconductor version: Development (3.7)

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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biocViews CopyNumberVariation, Software
Version 1.41.2
In Bioconductor since BioC 2.1 (R-2.6) (10.5 years)
License LGPL-2
Depends R (>= 3.0.0), BiocGenerics(>= 0.13.6), GenomicRanges(>= 1.27.6), SummarizedExperiment(>= 1.5.3)
Imports Biobase, S4Vectors(>= 0.9.25), 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
Suggests RUnit, SNPchip, human610quadv1bCrlmm, ArrayTV
Enhances doMC, doMPI, doSNOW, doParallel, doRedis
Depends On Me MinimumDistance
Imports Me
Suggests Me oligoClasses
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