VanillaICE

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 jhu.edu>

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

To install this package, start R (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("VanillaICE")

For older versions of R, please refer to the appropriate Bioconductor release.

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("VanillaICE")

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
System Requirements
URL

Suggests	RUnit, human610quadv1bCrlmm
Linking To
Enhances	doMC, doMPI, doSNOW, doParallel, doRedis
Depends On Me	MinimumDistance
Imports Me
Suggests Me	oligoClasses
Links To Me
Build Report	Build Report

Follow Installation instructions to use this package in your R session.

Source Package	VanillaICE_1.66.0.tar.gz
Windows Binary (x86_64)	VanillaICE_1.66.0.zip
macOS Binary (x86_64)	VanillaICE_1.66.0.tgz
macOS Binary (arm64)	VanillaICE_1.66.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/VanillaICE
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/VanillaICE
Bioc Package Browser	https://code.bioconductor.org/browse/VanillaICE/
Package Short Url	https://bioconductor.org/packages/VanillaICE/
Package Downloads Report	Download Stats