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.

epivizrData

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

Data Management API for epiviz interactive visualization app

Bioconductor version: Development (3.18)

Serve data from Bioconductor Objects through a WebSocket connection.

Author: Hector Corrada Bravo [aut, cre], Florin Chelaru [aut]

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

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

Installation

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

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("epivizrData")

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("epivizrData")
epivizrData Usage HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Infrastructure, Software, Visualization
Version 1.29.0
In Bioconductor since BioC 3.3 (R-3.3) (7.5 years)
License MIT + file LICENSE
Depends R (>= 3.4), methods, epivizrServer(>= 1.1.1), Biobase
Imports S4Vectors, GenomicRanges, SummarizedExperiment(>= 0.2.0), OrganismDbi, GenomicFeatures, GenomeInfoDb, IRanges, ensembldb
Linking To
Suggests testthat, roxygen2, bumphunter, hgu133plus2.db, Mus.musculus, TxDb.Mmusculus.UCSC.mm10.knownGene, rjson, knitr, rmarkdown, BiocStyle, EnsDb.Mmusculus.v79, AnnotationHub, rtracklayer, utils, RMySQL, DBI, matrixStats
System Requirements
Enhances
URL http://epiviz.github.io
Bug Reports https://github.com/epiviz/epivizrData/issues
See More
Depends On Me
Imports Me epivizr, epivizrChart, scTreeViz
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package epivizrData_1.29.0.tar.gz
Windows Binary epivizrData_1.29.0.zip (64-bit only)
macOS Binary (x86_64) epivizrData_1.29.0.tgz
macOS Binary (arm64) epivizrData_1.29.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epivizrData
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epivizrData
Bioc Package Browser https://code.bioconductor.org/browse/epivizrData/
Package Short Url https://bioconductor.org/packages/epivizrData/
Package Downloads Report Download Stats