Detection of subclonal SNVs in deep sequencing experiments.

Bioconductor version: Release (2.11)

This package provides provides a quantitative variant caller for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. It assumes a comparative setup with a control experiment of the same loci and a beta-binomial model to discriminate sequencing errors and subclonal SNVs.

Author: Moritz Gerstung and Niko Beerenwinkel

Maintainer: Moritz Gerstung <moritz.gerstung at>

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PDF R Script An R package for detecting low frequency variants in deep sequencing experiments
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biocViews DataImport, GeneticVariability, Genetics, SNP, Sequencing, Software
Version 1.4.0
In Bioconductor since BioC 2.10 (R-2.15)
License GPL-3
Depends R (>= 2.13.0), Rsamtools(>= 1.4.3), GenomicRanges, IRanges, Biostrings, VGAM, methods, graphics
Imports Rsamtools
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Depends On Me
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Package Source deepSNV_1.4.0.tar.gz
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MacOS 10.5 (Leopard) deepSNV_1.4.0.tgz
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