epivizrChart

DOI: 10.18129/B9.bioc.epivizrChart    

This package is for version 3.11 of Bioconductor; for the stable, up-to-date release version, see epivizrChart.

R interface to epiviz web components

Bioconductor version: 3.11

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 "4.0") and enter:

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

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")

 

HTML R Script 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
PDF   Reference Manual
Text   NEWS

Details

biocViews GUI, Software, Visualization
Version 1.10.0
In Bioconductor since BioC 3.6 (R-3.4) (3 years)
License Artistic-2.0
Depends R (>= 3.4.0)
Imports epivizrData(>= 1.5.1), epivizrServer, htmltools, rjson, methods, BiocGenerics
LinkingTo
Suggests testthat, roxygen2, knitr, Biobase, GenomicRanges, S4Vectors, IRanges, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus, BiocStyle, Homo.sapiens, shiny, minfi, Rsamtools, rtracklayer, RColorBrewer, magrittr, AnnotationHub
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package epivizrChart_1.10.0.tar.gz
Windows Binary epivizrChart_1.10.0.zip
macOS 10.13 (High Sierra) epivizrChart_1.10.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/epivizrChart
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/epivizrChart
Package Short Url https://bioconductor.org/packages/epivizrChart/
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