Bioc2026 Registration Open!

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 (3.24)

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")):
Seminal Bioconductor project articles:

Huber W, Carey VJ, Gentleman R, Anders S, Carlson M, Carvalho BS, Bravo HC, Davis S, Gatto L, Girke T, Gottardo R, Hahne F, Hansen KD, Irizarry RA, Lawrence M, Love MI, MacDonald J, Obenchain V, Oleś AK, Pagès H, Reyes A, Shannon P, Smyth GK, Tenenbaum D, Waldron L, Morgan M (2015). "Orchestrating high-throughput genomic analysis with Bioconductor." Nature Methods, 12(2), 115–121. doi:10.1038/nmeth.3252.

Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, Hornik K, Hothorn T, Huber W, Iacus S, Irizarry R, Leisch F, Li C, Maechler M, Rossini AJ, Sawitzki G, Smith C, Smyth G, Tierney L, Yang JYH, Zhang J (2004). "Bioconductor: open software development for computational biology and bioinformatics." Genome Biology, 5(10), R80. doi:10.1186/gb-2004-5-10-r80.

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.

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 PDF
NEWS Text
LICENSE Text

Details

biocViews GUI, Infrastructure, Software, Visualization
Version 1.41.0
In Bioconductor since BioC 3.3 (R-3.3) (10.5 years)
License MIT + file LICENSE
Depends R (>= 3.2.3), epivizr(>= 2.3.6), methods
Imports git2r, epivizrServer, Seqinfo, BiocGenerics, GenomicFeatures, S4Vectors
System Requirements
URL
See More
Suggests testthat, knitr, rmarkdown, OrganismDbi(>= 1.13.9), Mus.musculus, Biobase, BiocStyle
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me scTreeViz
Links To Me
Build Report Build Report

Package Archives

Follow 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 (64-bit only)
macOS Binary (big-sur-x86_64) epivizrStandalone_1.41.0.tgz
macOS Binary (sonoma-arm64) 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
Bioc Package Browser https://code.bioconductor.org/browse/epivizrStandalone/
Package Short Url https://bioconductor.org/packages/epivizrStandalone/
Package Downloads Report Download Stats