epivizr
This is the released version of epivizr; for the devel version, see epivizr.
All Bioconductor versions of epivizr
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, 3.2, 3.1, 3.0, 2.14, 2.13
R Interface to epiviz web app
Bioconductor version: 3.23 · Package version: 2.42.0
This package provides connections to the epiviz web app (http://epiviz.cbcb.umd.edu) for interactive visualization of genomic data. Objects in R/bioc interactive sessions can be displayed in genome browser tracks or plots to be explored by navigation through genomic regions. Fundamental Bioconductor data structures are supported (e.g., GenomicRanges and RangedSummarizedExperiment objects), while providing an easy mechanism to support other data structures (through package epivizrData). Visualizations (using d3.js) can be easily added to the web app as well.
Author: Hector Corrada Bravo, Florin Chelaru, Llewellyn Smith, Naomi Goldstein, Jayaram Kancherla, Morgan Walter, Brian Gottfried
Maintainer: Hector Corrada Bravo <hcorrada at gmail.com>
Citation
From within R, enter citation("epivizr"):
Hector Corrada Bravo, Florin Chelaru, Llewellyn Smith, Naomi Goldstein, Jayaram Kancherla, Morgan Walter, Brian Gottfried. epivizr: R Interface to epiviz web app. doi:10.18129/B9.bioc.epivizr, R package version 2.42.0, https://bioconductor.org/packages/epivizr.
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")
BiocManager::install("epivizr")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 2.42.0 |
| License | Artistic-2.0 |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 2.13 (R-3.0) (12 years) |
| Downloads rank | 504 of 2,418 |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | GUI, Infrastructure, Software, Visualization |
| Package Short Url | https://bioconductor.org/packages/epivizr/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("epivizr")| Introduction to epivizr: interactive visualization for genomic data | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | epivizr_2.42.0.tar.gz |
| Windows binary (x86_64) | epivizr_2.42.0.zip |
| macOS binary (arm64) | epivizr_2.42.0.tgz |
| macOS binary (x86_64) | epivizr_2.42.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/epivizr |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/epivizr |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.5.0), methods
Imports: epivizrServer (>= 1.1.1), epivizrData (>= 1.3.4), GenomicRanges, S4Vectors, IRanges, bumphunter, GenomeInfoDb
Suggests: testthat, roxygen2, knitr, Biobase, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus, BiocStyle, minfi, rmarkdown
Reverse dependencies
Depends On Me (2): epivizrStandalone, scTreeViz