To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("epivizr")

In most cases, you don't need to download the package archive at all.

epivizr

This package is for version 3.3 of Bioconductor; for the stable, up-to-date release version, see epivizr.

R Interface to epiviz web app

Bioconductor version: 3.3

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

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

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("epivizr")

Documentation

HTML	R Script	Introduction to epivizr
PDF		Reference Manual
Text		NEWS
Video		Epiviz quick tour

Details

biocViews	GUI, Infrastructure, Software, Visualization
Version	2.2.4
In Bioconductor since	BioC 2.13 (R-3.0) (3 years)
License	Artistic-2.0
Depends	R (>= 3.2.3), methods
Imports	epivizrServer(>= 1.0.1), epivizrData(>= 1.0.1), GenomicRanges, S4Vectors, IRanges
LinkingTo
Suggests	testthat, roxygen2, knitr, Biobase, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus
SystemRequirements
Enhances
URL
Depends On Me	epivizrStandalone
Imports Me
Suggests Me
Build Report

Package Archives

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

Package Source	epivizr_2.2.4.tar.gz
Windows Binary	epivizr_2.2.4.zip
Mac OS X 10.9 (Mavericks)	epivizr_2.2.4.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/epivizr/tree/release-3.3
Package Short Url	http://bioconductor.org/packages/epivizr/
Package Downloads Report	Download Stats

Documentation »

Bioconductor

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Course and conference material.
Videos.
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