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TheCNVMetrics package offers multiple quantitative metrics of similarity between copy number profiles.Among these are metrics based on CNV status calls only (amplification/deletion status) or on the level of amplification/deletion. In addition, a visualization tool is provided to explore resulting metrics.

If you use this package for a publication, we would ask you to cite the following:

Belleau P, Deschênes A, Beyaz S et al. CNVMetrics package: Quantifying similarity between copy number profiles [version 1; not peer reviewed]. F1000Research 2021, 10:737 (slides) (doi: 10.7490/f1000research.1118704.1)

F1000Research poster

Astrid Deschênes,Pascal Belleau,David A. Tuveson andAlexander Krasnitz

TheCNVMetrics package is now an official package ofBioconductor.

The current release can be directly downloaded from their website:Current release

However, all official releases can be downloaded from this site:All releases

CNVMetrics Website

CNVMetrics Get Started

To install this package fromBioconductor, start R (version "4.2") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))    install.packages("BiocManager")# The following initializes usage of Bioc develBiocManager::install(version='devel')BiocManager::install("CNVMetrics")

To install the latest version accessible using thedevtoolspackage:

 ## Load required package library(devtools) ## Install the latest version of CNVMetrics devtools::install_github('KrasnitzLab/CNVMetrics')

This package and the underlyingCNVMetrics code are distributed underthe Artistic license 2.0. You are free to use and redistribute this software.

For more information on Artistic 2.0 License seehttp://opensource.org/licenses/Artistic-2.0

Please contact us for bug fixes or with feature requests.

Thanks!