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 is the development version of CNVtools; for the stable release version, see CNVtools.

A package to test genetic association with CNV data

Bioconductor version: Development (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")):

Installation

To install this package, start R and enter:

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

Documentation

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

Details

biocViews GeneticVariability, Software
Version 1.67.0
In Bioconductor since BioC 2.5 (R-2.10) (6.5 years)
License GPL-3
Depends R (>= 2.10), survival
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source CNVtools_1.67.0.tar.gz
Windows Binary CNVtools_1.67.0.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) CNVtools_1.67.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/CNVtools
Package Short Url http://bioconductor.org/packages/CNVtools/
Package Downloads Report Download Stats

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