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Integerated visualization of epigenomic data

Bioconductor version: Release (3.19)

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))


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 1.10.0
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_1.10.0.tar.gz
Windows Binary
macOS Binary (x86_64) rGenomeTracks_1.10.0.tgz
macOS Binary (arm64) rGenomeTracks_1.10.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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