This is the development version of epivizrChart; for the stable release version, see epivizrChart.
R interface to epiviz web componentsBioconductor version: Development (3.22)
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, entercitation("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.
DocumentationTo 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 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.
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