epivizrStandalone
This is the development version of epivizrStandalone; for the stable release version, see epivizrStandalone.
All Bioconductor versions of epivizrStandalone
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3
Run Epiviz Interactive Genomic Data Visualization App within R
Bioconductor version: 3.24 · Package version: 1.41.0
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"):
Hector Corrada Bravo, Jayaram Kancherla. epivizrStandalone: Run Epiviz Interactive Genomic Data Visualization App within R. doi:10.18129/B9.bioc.epivizrStandalone, R package version 1.41.0, https://bioconductor.org/packages/epivizrStandalone.
Generated from the package metadata; it may differ from the package's own citation.
Installation
To install this package, start R (version "4.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("epivizrStandalone")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.41.0 |
| License | MIT + file LICENSE |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.3 (R-3.3) (10 years) |
| Downloads rank | 1128 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | GUI, Infrastructure, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/epivizrStandalone/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epivizrStandalone")| Introduction to epivizrStandalone | HTML |
| Reference Manual | |
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | epivizrStandalone_1.41.0.tar.gz |
| Windows binary (x86_64) | epivizrStandalone_1.41.0.zip |
| macOS binary (arm64) | epivizrStandalone_1.41.0.tgz |
| macOS binary (x86_64) | epivizrStandalone_1.41.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/epivizrStandalone |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/epivizrStandalone |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.2.3), epivizr (>= 2.3.6), methods
Imports: git2r, epivizrServer, Seqinfo, BiocGenerics, GenomicFeatures, S4Vectors
Suggests: testthat, knitr, rmarkdown, OrganismDbi (>= 1.13.9), Mus.musculus, Biobase, BiocStyle
Reverse dependencies
Suggests Me (1): scTreeViz