epivizrChart

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

R interface to epiviz web components


Bioconductor version: Development (3.21)

This package provides an API for interactive visualization of genomic data using epiviz web components. Objects in R/BioConductor can be used to generate interactive R markdown/notebook documents or can be visualized in the R Studio's default viewer.

Author: Brian Gottfried [aut], Jayaram Kancherla [aut], Hector Corrada Bravo [aut, cre]

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

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

Installation

To install this package, start R (version "4.5") and enter:


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

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

BiocManager::install("epivizrChart")

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("epivizrChart")
Introduction to epivizrChart HTML R Script
Visualizing `RangeSummarizedExperiment` objects Shiny Apps using epivizrChart HTML R Script
Visualizing Files with epivizrChart HTML R Script
Visualizing genomic data in Shiny Apps using epivizrChart HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews GUI, Software, Visualization
Version 1.29.0
In Bioconductor since BioC 3.6 (R-3.4) (7 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports epivizrData(>= 1.5.1), epivizrServer, htmltools, rjson, methods, BiocGenerics
System Requirements
URL
See More
Suggests testthat, roxygen2, knitr, Biobase, GenomicRanges, S4Vectors, IRanges, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus, BiocStyle, Homo.sapiens, shiny, minfi, Rsamtools, rtracklayer, RColorBrewer, magrittr, AnnotationHub
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package epivizrChart_1.29.0.tar.gz
Windows Binary (x86_64) epivizrChart_1.29.0.zip (64-bit only)
macOS Binary (x86_64) epivizrChart_1.29.0.tgz
macOS Binary (arm64) epivizrChart_1.29.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epivizrChart
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epivizrChart
Bioc Package Browser https://code.bioconductor.org/browse/epivizrChart/
Package Short Url https://bioconductor.org/packages/epivizrChart/
Package Downloads Report Download Stats