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README.md
[![Project Status: Active – The project has reached a stable, usable state and is being actively developed.](https://www.repostatus.org/badges/latest/active.svg)](https://www.repostatus.org/#active) # CopyNumberPlots: create copy-number plots using karyoploteR ## Introduction Data visualisation is a powerful tool used for data analysis and exploration in many fields. Genomics data analysis is one of these fields where good visualisation tools can be of great help. The aim of [CopyNumberPlots](http://bioconductor.org/packages/CopyNumberPlots/) is to offer the user an easy way to create copy-number related plots using the infrastructure provided by the R/Bioconductor package [karyoploteR](http://bioconductor.org/packages/karyoploteR/) In addition to a set of specialized plotting functions for copy-number analysis data and results (`plotBAF`, `plotCopyNumberCalls`, ...), CopyNumberPlots contains a number of data loading functions to help parsing and loading the results of widely used copy-number calling software such as [DNAcopy]( http://bioconductor.org/packages/DNAcopy/), [DECoN](https://wellcomeopenresearch.org/articles/1-20/v1) or [CNVkit](https://cnvkit.readthedocs.io/en/stable/). Finally, since CopyNumberPlots extends the functionality of karyoploteR, it is possible to combine the plotting functions of both packages to get the perfect figure for your data. ## Installation CopyNumberPlots is a [Bioconductor](http://bioconductor.org) package and to install it we have to use [BiocManager](https://cran.r-project.org/web/packages/BiocManager/vignettes/BiocManager.html) ```{r getPackage, eval=FALSE} if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("CopyNumberPlots") ``` ## More information You can find more information on CopyNumberPlots in [its Bioconductor page](http://bioconductor.org/packages/CopyNumberPlots/) and specially in the [CopyNumberPlots vignette](https://bioconductor.org/packages/release/bioc/vignettes/CopyNumberPlots/inst/doc/CopyNumberPlots.html). You can find more information on how to use karyoploteR in the [karyoploteR tutorial](https://bernatgel.github.io/karyoploter_tutorial/).