DOI: 10.18129/B9.bioc.epivizrStandalone    

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

Run Epiviz Interactive Genomic Data Visualization App within R

Bioconductor version: Development (3.17)

This package imports the epiviz visualization JavaScript app for genomic data interactive visualization. The 'epivizrServer' package is used to provide a web server running completely within R. This standalone version allows to browse arbitrary genomes through genome annotations provided by Bioconductor packages.

Author: Hector Corrada Bravo, Jayaram Kancherla

Maintainer: Hector Corrada Bravo <hcorrada at gmail.com>

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


To install this package, start R (version "4.3") 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:



HTML Introduction to epivizrStandalone
PDF   Reference Manual


biocViews GUI, Infrastructure, Software, Visualization
Version 1.27.0
In Bioconductor since BioC 3.3 (R-3.3) (6.5 years)
License MIT + file LICENSE
Depends R (>= 3.2.3), epivizr(>= 2.3.6), methods
Imports git2r, epivizrServer, GenomeInfoDb, BiocGenerics, GenomicFeatures, S4Vectors
Suggests testthat, knitr, rmarkdown, OrganismDbi(>= 1.13.9), Mus.musculus, Biobase, BiocStyle
Depends On Me
Imports Me metavizr
Suggests Me scTreeViz
Links To Me
Build Report  

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Follow Installation instructions to use this package in your R session.

Source Package epivizrStandalone_1.27.0.tar.gz
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/epivizrStandalone
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epivizrStandalone
Package Short Url https://bioconductor.org/packages/epivizrStandalone/
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