This is the development version of epivizr; for the stable release version, see epivizr.
R Interface to epiviz web appBioconductor version: Development (3.22)
This package provides connections to the epiviz web app (http://epiviz.cbcb.umd.edu) for interactive visualization of genomic data. Objects in R/bioc interactive sessions can be displayed in genome browser tracks or plots to be explored by navigation through genomic regions. Fundamental Bioconductor data structures are supported (e.g., GenomicRanges and RangedSummarizedExperiment objects), while providing an easy mechanism to support other data structures (through package epivizrData). Visualizations (using d3.js) can be easily added to the web app as well.
Author: Hector Corrada Bravo, Florin Chelaru, Llewellyn Smith, Naomi Goldstein, Jayaram Kancherla, Morgan Walter, Brian Gottfried
Maintainer: Hector Corrada Bravo <hcorrada at gmail.com>
Citation (from within R, entercitation("epivizr")
): 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("epivizr")
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("epivizr")
Details biocViews GUI, Infrastructure, Software, Visualization Version 2.39.0 In Bioconductor since BioC 2.13 (R-3.0) (11.5 years) License Artistic-2.0 Depends R (>= 3.5.0), methods Imports epivizrServer(>= 1.1.1), epivizrData(>= 1.3.4), GenomicRanges, S4Vectors, IRanges, bumphunter, GenomeInfoDb System Requirements URL See More Suggests testthat, roxygen2, knitr, Biobase, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus, BiocStyle, minfi, rmarkdown Linking To Enhances Depends On Me epivizrStandalone, scTreeViz 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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