To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("epivizr")

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

epivizr

R Interface to epiviz web app

Bioconductor version: 2.13

This package provides Websocket communication 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 SummarizedExperiment objects), while providing an easy mechanism to support other data structures. Visualizations (using d3.js) can be easily added to the web app as well.

Author: Hector Corrada Bravo, Florin Chelaru, Llewellyn Smith, Naomi Goldstein

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

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

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("epivizr")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("epivizr")

 

HTML R Script Introduction to epivizr
PDF   Reference Manual

Details

biocViews Bioinformatics, GUI, Infrastructure, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 2.13 (R-3.0)
License GPL-3
Depends R (>= 3.0.1), methods, Biobase, GenomicRanges(>= 1.13.47)
Imports httpuv, rjson
Suggests testthat, roxygen2, knitr, antiProfilesData, hgu133plus2.db
System Requirements
URL
Depends On Me
Imports Me
Suggests Me

Package Archives

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

Package Source epivizr_1.0.0.tar.gz
Windows Binary epivizr_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) epivizr_1.0.0.tgz
Browse/checkout source (username/password: readonly)
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