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deepSNV

This is the released version of deepSNV; for the devel version, see deepSNV.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10

Detection of subclonal SNVs in deep sequencing data.


Bioconductor version: Release (3.23)

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.

Author: Niko Beerenwinkel [ths], Raul Alcantara [ctb], David Jones [ctb], John Marshall [ctb], Inigo Martincorena [ctb], Moritz Gerstung [aut, cre]

Maintainer: Moritz Gerstung <moritz.gerstung at ebi.ac.uk>

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

Moritz Gerstung. deepSNV: Detection of subclonal SNVs in deep sequencing data. doi:10.18129/B9.bioc.deepSNV, R package version 1.58.0, https://bioconductor.org/packages/deepSNV.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("deepSNV")

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

Documentation

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

browseVignettes("deepSNV")
An R package for detecting low frequency variants in deep sequencing experiments PDF R Script
Shearwater ML HTML R Script
Subclonal variant calling with multiple samples and prior knowledge using shearwater PDF R Script
Reference ManualPDF
NEWSText

Details

biocViews DataImport, GeneticVariability, Genetics, SNP, Sequencing, Software
Version1.58.0
In Bioconductor sinceBioC 2.10 (R-2.15) (14.5 years)
License GPL-3
Depends R (>= 2.13.0), methods, graphics, parallel, IRanges, GenomicRanges, SummarizedExperiment, Biostrings, VGAM, VariantAnnotation (>= 1.27.6)
Imports Rhtslib
System RequirementsGNU make
URL
See More
Suggests RColorBrewer, knitr, rmarkdown
Linking To Rhtslib (>= 1.13.1)
Enhances
Depends On Me
Imports Me mitoClone2
Suggests Me GenomicFiles
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package deepSNV_1.58.0.tar.gz
Windows Binary (x86_64) deepSNV_1.58.0.zip
macOS Binary (big-sur-x86_64) deepSNV_1.58.0.tgz
macOS Binary (sonoma-arm64) deepSNV_1.58.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/deepSNV
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/deepSNV
Package Short Url https://bioconductor.org/packages/deepSNV/
Package Downloads ReportDownload Stats