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This is the development version of rGenomeTracks; for the stable release version, see rGenomeTracks.

Integerated visualization of epigenomic data

Bioconductor version: Development (3.20)

rGenomeTracks package leverages the power of pyGenomeTracks software with the interactivity of R. pyGenomeTracks is a python software that offers robust method for visualizing epigenetic data files like narrowPeak, Hic matrix, TADs and arcs, however though, here is no way currently to use it within R interactive session. rGenomeTracks wrapped the whole functionality of pyGenomeTracks with additional utilites to make to more pleasant for R users.

Author: Omar Elashkar [aut, cre]

Maintainer: Omar Elashkar <omar.i.elashkar at>

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


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

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

# The following initializes usage of Bioc devel


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:

rGenomeTracks HTML R Script
Reference Manual PDF


biocViews HiC, Software, Visualization
Version 1.11.0
In Bioconductor since BioC 3.14 (R-4.1) (2.5 years)
License GPL-3
Depends R (>= 4.1.0)
Imports imager, reticulate, methods, rGenomeTracksData
System Requirements pyGenomeTracks (prefered to use install_pyGenomeTracks())
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Suggests rmarkdown, knitr, testthat (>= 3.0.0)
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Follow Installation instructions to use this package in your R session.

Source Package rGenomeTracks_1.11.0.tar.gz
Windows Binary
macOS Binary (x86_64) rGenomeTracks_1.11.0.tgz
macOS Binary (arm64) rGenomeTracks_1.11.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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