This is the development version of CNVMetrics; for the stable release version, see CNVMetrics.
Copy Number Variant MetricsBioconductor version: Development (3.22)
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 Deschênes [aut, cre] ORCID: 0000-0001-7846-6749 , Pascal Belleau [aut] ORCID: 0000-0002-0802-1071 , David A. Tuveson [aut] ORCID: 0000-0002-8017-2712 , Alexander Krasnitz [aut]
Maintainer: Astrid Deschênes <adeschen at hotmail.com>
Citation (from within R, entercitation("CNVMetrics")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("CNVMetrics")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("CNVMetrics")Follow Installation instructions to use this package in your R session.
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