The epivizr
Bioconductor package implements two-way communication between the R/Bioconductor environment and the epiviz web app for interactive data visualization. Objects in the R environment can be displayed as tracks or plots on Epiviz. Epivizr uses Websockets for communication between the browser Javascript client and the R environment using the same technology underlying the popular Shiny system for authoring interactive web-based reports in R.
Epivizr is available as part of the Bioconductor project as of version 2.13. To install the release version of epivizr
:
if (!requireNamespace("BiocManager", quietly=TRUE))
install.packages("BiocManager")
BiocManager::install("epivizr")
This github repository contains the latest and greatest version of epivizr
and is tracked by the devel version in Bioconductor (see
http://bioconductor.org/developers/how-to/useDevel/ for more info.
The easiest way to try epivizr
out is to follow the package vignette:
require(epivizr)
browseVignettes("epivizr")
You can get a quick tour of epiviz here: http://youtu.be/099c4wUxozA
As of version 1.3, Epivizr supports a non-blocking workflow on both UNIX-like and Windows systems where data is served to the webapp without blocking the R/bioc interactive session. Make sure you are using the latest version of the httpuv package to use this. (Thanks to the Rstudio folks for folding our daemonizing code into the main httpuv release).
Check out the epiviz
project page on github, and the
documentation page.