DeepCNV: Exploiting Normal Contamination to Infer Copy Number from Deep Sequencing

This package provides a systematic Bayesian framework for inferring copy number from deep sequencing data of one or a few genes.

AuthorMark Zucker, Kevin R Coombes
Date of publication2015-06-17 14:39:24
MaintainerKevin Coombes <krc@silicovore.com>
LicenseApache License (== 2.0)
Version0.8.1
http://oompa.r-forge.r-project.org/

View on R-Forge

Functions

Files

DESCRIPTION
NAMESPACE
R
R/00-generics.R R/01-prior.R R/02-posterior.R R/03-multigeneCNV.R
build
build/vignette.rds
inst
inst/doc
inst/doc/01-theoryCNV.R
inst/doc/01-theoryCNV.Rnw
inst/doc/01-theoryCNV.pdf
inst/doc/03-multigeneSims.R
inst/doc/03-multigeneSims.Rnw
inst/doc/03-multigeneSims.pdf
inst/doc/oneGeneSims.R
inst/doc/oneGeneSims.Rnw
inst/doc/oneGeneSims.pdf
tests
tests/test01-Prior.R tests/test02-Normal.R tests/test03-Multi.R
vignettes
vignettes/01-theoryCNV.Rnw
vignettes/03-multigeneSims.Rnw
vignettes/oneGeneSims.Rnw

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