To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CNVtools")

In most cases, you don't need to download the package archive at all.

CNVtools

This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see CNVtools.

A package to test genetic association with CNV data

Bioconductor version: 3.4

This package is meant to facilitate the testing of Copy Number Variant data for genetic association, typically in case-control studies.

Author: Chris Barnes <christopher.barnes at imperial.ac.uk> and Vincent Plagnol <vincent.plagnol at cimr.cam.ac.uk>

Maintainer: Chris Barnes <christopher.barnes at imperial.ac.uk>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("CNVtools")

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

browseVignettes("CNVtools")

PDF	R Script	Copy Number Variation Tools
PDF		Reference Manual

biocViews	GeneticVariability, Software
Version	1.68.0
In Bioconductor since	BioC 2.5 (R-2.10) (7.5 years)
License	GPL-3
Depends	R (>= 2.10), survival
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

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

Package Source	CNVtools_1.68.0.tar.gz
Windows Binary	CNVtools_1.68.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks)	CNVtools_1.68.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/CNVtools/tree/release-3.4
Package Short Url	http://bioconductor.org/packages/CNVtools/
Package Downloads Report	Download Stats

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