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

Files in this package

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

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

All documentation is copyright its authors; we didn't write any of that.