This site is a development preview. As such the content and styling may not be final and is subject to change before going into production. To see more information about the redesign click here.

Menu

Documentation:

R / CRAN packages and documentation

Support

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

epivizrStandalone

Run Epiviz Interactive Genomic Data Visualization App within R

Bioconductor version: Release (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")):

Installation

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

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

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 1.28.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License MIT + file LICENSE
Depends R (>= 3.2.3), epivizr(>= 2.3.6), methods
Imports git2r, epivizrServer, GenomeInfoDb, BiocGenerics, GenomicFeatures, S4Vectors
Linking To
Suggests testthat, knitr, rmarkdown, OrganismDbi(>= 1.13.9), Mus.musculus, Biobase, BiocStyle
System Requirements
Enhances
URL
See More
Depends On Me
Imports Me metavizr
Suggests Me scTreeViz
Links To Me
Build Report  

Package Archives

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

Source Package epivizrStandalone_1.28.0.tar.gz
Windows Binary epivizrStandalone_1.28.0.zip
macOS Binary (x86_64) epivizrStandalone_1.28.0.tgz
macOS Binary (arm64) epivizrStandalone_1.28.0.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