deepSNV : Detection of subclonal SNVs in deep sequencing data.

Package: deepSNV
Maintainer: Moritz Gerstung <mg14@sanger.ac.uk>
License: GPL-3
Title: Detection of subclonal SNVs in deep sequencing data.
biocViews: GeneticVariability, SNP, Sequencing, Genetics, DataImport
LinkingTo: Rhtslib
Type: Package
LazyLoad: yes
Authors@R: c( person("Niko","Beerenwinkel", role="ths"),
person("David", "Jones", role = "ctb"),
person("Inigo", "Martincorena", role = "ctb"),
person("Moritz","Gerstung",
email = "mg14@sanger.ac.uk", role= c("aut","cre")) )
Description: This package provides provides quantitative variant callers for
detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing
experiments. The deepSNV algorithm is used for a comparative setup with a
control experiment of the same loci and uses a beta-binomial model and a
likelihood ratio test to discriminate sequencing errors and subclonal SNVs.
The shearwater algorithm computes a Bayes classifier based on a
beta-binomial model for variant calling with multiple samples for
precisely estimating model parameters such as local error rates and
dispersion and prior knowledge, e.g. from variation data bases such as
COSMIC.
Version: 1.18.1
URL: http://github.com/mg14/deepSNV
Depends: R (>= 2.13.0), methods, graphics, parallel, Rhtslib, IRanges,
GenomicRanges, SummarizedExperiment, Biostrings, VGAM,
VariantAnnotation (>= 1.13.44),
Imports: Rhtslib
Suggests: RColorBrewer, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2016-05-12 03:17:01 UTC; biocbuild
Author: Niko Beerenwinkel [ths],
David Jones [ctb],
Inigo Martincorena [ctb],
Moritz Gerstung [aut, cre]