Piyal Karunarathne, Qiujie Zhou, Klaus Schliep, and Pascal Milesi

rCNV was designed to identify duplicates (CNV) from SNPs data with ease.

For a comprehensive tutorial on the package, go to https://piyalkarum.github.io/rCNV/ and navigate to "Get started" where all the functions and usage are explained with ample examples.

rCNV is currently developing methods to detect multicopy regions from whole genome sequencing (WGS) data using maximum likelihood ratios. For a sneak peek, go to the section 2.4 at https://piyalkarum.github.io/rCNV/

• CRAN link https://cran.r-project.org/package=rCNV

install.packages("rCNV")

• You can install the development version of rCNV from GitHub with:

    if (!requireNamespace("devtools", quietly = TRUE)) 
        install.packages("devtools") 
    devtools::install_github("piyalkarum/rCNV", build_vignettes = TRUE)

Please don't forget to cite us if you use the package.

• Karunarathne P, Zhou Q, Schliep K, Milesi P. A comprehensive framework for detecting copy number variants from single nucleotide polymorphism data: 'rCNV', a versatile r package for paralogue and CNV detection. Mol Ecol Resour. 2023 Jul 29. doi:http://doi.org/10.1111/1755-0998.13843

• Karunarathne, P., Zhou, Q., Schliep, K., & Milesi, P. (2022). A new framework for detecting copy number variants from single nucleotide polymorphism data: ‘rCNV’, a versatile R package for paralogs and CNVs detection. BioRxiv, 2022.10.14.512217. doi:http://doi.org/10.1101/2022.10.14.512217