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epivizrChart

This is the released version of epivizrChart; for the devel version, see epivizrChart.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6

R interface to epiviz web components


Bioconductor version: Release (3.23)

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")):

Brian Gottfried, Jayaram Kancherla, Hector Corrada Bravo. epivizrChart: R interface to epiviz web components. doi:10.18129/B9.bioc.epivizrChart, R package version 1.34.0, https://bioconductor.org/packages/epivizrChart.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("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")
Visualizing Files with epivizrChart HTML R Script
Visualizing genomic data in Shiny Apps using epivizrChart HTML R Script
Introduction to epivizrChart HTML R Script
Visualizing `RangeSummarizedExperiment` objects Shiny Apps using epivizrChart HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews GUI, Software, Visualization
Version1.34.0
In Bioconductor sinceBioC 3.6 (R-3.4) (9 years)
License Artistic-2.0
Depends R (>= 3.5.0)
Imports epivizrData (>= 1.5.1), epivizrServer, htmltools, rjson, methods, BiocGenerics
System Requirements
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Suggests testthat, roxygen2, knitr, Biobase, GenomicRanges, S4Vectors, IRanges, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus, BiocStyle, Homo.sapiens, shiny, minfi, Rsamtools, rtracklayer, RColorBrewer, magrittr, AnnotationHub
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Package Archives

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

Source Package epivizrChart_1.34.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64) epivizrChart_1.34.0.tgz
macOS Binary (sonoma-arm64) epivizrChart_1.34.0.tgz
Source Repositorygit 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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