Package: deepSNV
Maintainer: Moritz Gerstung <moritz.gerstung@ebi.ac.uk>
License: GPL-3
Title: Detection of subclonal SNVs in deep sequencing data.
biocViews: GeneticVariability, SNP, Sequencing, Genetics, DataImport
LinkingTo: Rhtslib (>= 1.13.1)
Type: Package
LazyLoad: yes
Authors@R: c( person("Niko","Beerenwinkel", role="ths"),
    person("Raul", "Alcantara", role="ctb"),
    person("David", "Jones", role = "ctb"),
    person("John", "Marshall", role = "ctb"),
    person("Inigo", "Martincorena", role = "ctb"),
    person("Moritz","Gerstung",
    email = "moritz.gerstung@ebi.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: 1.54.0
Depends: R (>= 2.13.0), methods, graphics, parallel, IRanges,
        GenomicRanges, SummarizedExperiment, Biostrings, VGAM,
        VariantAnnotation (>= 1.27.6),
Imports: Rhtslib
Suggests: RColorBrewer, knitr, rmarkdown
VignetteBuilder: knitr
SystemRequirements: GNU make
RoxygenNote: 7.0.2
git_url: https://git.bioconductor.org/packages/deepSNV
git_branch: RELEASE_3_21
git_last_commit: 0c0cbd6
git_last_commit_date: 2025-04-15
Repository: Bioconductor 3.21
Date/Publication: 2025-04-15
NeedsCompilation: yes
Packaged: 2025-04-16 00:07:55 UTC; biocbuild
Author: Niko Beerenwinkel [ths],
  Raul Alcantara [ctb],
  David Jones [ctb],
  John Marshall [ctb],
  Inigo Martincorena [ctb],
  Moritz Gerstung [aut, cre]
Built: R 4.5.0; x86_64-w64-mingw32; 2025-04-16 14:17:23 UTC; windows
Archs: x64
