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Copy Number Variant Metrics

Bioconductor version: Release (3.19)

The CNVMetrics package calculates similarity metrics to facilitate copy number variant comparison among samples and/or methods. Similarity metrics can be employed to compare CNV profiles of genetically unrelated samples as well as those with a common genetic background. Some metrics are based on the shared amplified/deleted regions while other metrics rely on the level of amplification/deletion. The data type used as input is a plain text file containing the genomic position of the copy number variations, as well as the status and/or the log2 ratio values. Finally, a visualization tool is provided to explore resulting metrics.

Author: Astrid DeschĂȘnes [aut, cre] , Pascal Belleau [aut] , David A. Tuveson [aut] , Alexander Krasnitz [aut]

Maintainer: Astrid DeschĂȘnes <adeschen at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

Copy number variant metrics HTML R Script
Reference Manual PDF


biocViews BiologicalQuestion, CopyNumberVariation, Software
Version 1.8.0
In Bioconductor since BioC 3.15 (R-4.2) (2 years)
License Artistic-2.0
Depends R (>= 4.0)
Imports GenomicRanges, IRanges, S4Vectors, BiocParallel, methods, magrittr, stats, pheatmap, gridExtra, grDevices, rBeta2009
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Follow Installation instructions to use this package in your R session.

Source Package CNVMetrics_1.8.0.tar.gz
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macOS Binary (x86_64) CNVMetrics_1.8.0.tgz
macOS Binary (arm64) CNVMetrics_1.8.0.tgz
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Source Repository (Developer Access) git clone
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