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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
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R Interface to epiviz web app
Bioconductor version: Release (3.5)
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,
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 |
| Reference Manual | ||
| Text | NEWS | |
| Video | Epiviz quick tour |
Details
| biocViews | GUI, Infrastructure, Software, Visualization |
| Version | 2.6.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) (4 years) |
| License | Artistic-2.0 |
| Depends | R (>= 3.0), methods |
| Imports | epivizrServer(>= 1.1.1), epivizrData(>= 1.3.4), GenomicRanges, S4Vectors, IRanges |
| LinkingTo | |
| Suggests | testthat, roxygen2, knitr, Biobase, SummarizedExperiment, antiProfilesData, hgu133plus2.db, Mus.musculus, BiocStyle |
| SystemRequirements | |
| Enhances | |
| URL | |
| Depends On Me | epivizrStandalone |
| Imports Me | metavizr |
| Suggests Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | epivizr_2.6.0.tar.gz |
| Windows Binary | epivizr_2.6.0.zip |
| Mac OS X 10.11 (El Capitan) | epivizr_2.6.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/epivizr |
| Package Short Url | http://bioconductor.org/packages/epivizr/ |
| Package Downloads Report | Download Stats |
Documentation »
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