Bridging the gap between hierarchical network representation and functional analysis.

Bioconductor version: 2.9

RedeR is an R-based package combined with a stand-alone Java application for dynamic network visualization and manipulation. It implements a callback engine by using a low-level R-to-Java interface to build and run common plugins. In this sense, RedeR takes advantage of R to run robust statistics, while the R-to-Java interface bridges the gap between network analysis and visualization: for R Developers, it allows the development of Java plug-ins exclusively using R codes; for Java Users, it runs R methods implemented in a stand-alone application, and for R Users RedeR interactively displays R graphs using a robust Java graphic engine embedded in this package.

Author: Mauro Castro, Xin Wang, Florian Markowetz

Maintainer: Mauro Castro <mauro.a.castro at>

To install this package, start R and enter:


To cite this package in a publication, start R and enter:



PDF fig1.pdf
PDF fig2.pdf
PDF fig3.pdf
PDF fig4.pdf
PDF fig5a.pdf
PDF fig5b.pdf
PDF fig5c.pdf
PDF fig6.pdf
PDF R Script Main vignette: RedeR Overview
PDF   Reference Manual
Text   NEWS


biocViews GraphsAndNetworks, Visualization, GUI
Depends R (>= 2.12.0), igraph(>= 0.5.5), RCurl(>= 1.6-0), XML (>= 3.4-0), XMLRPC (>= 0.2.2)
Imports rJava, methods
Suggests PANR, HTSanalyzeR, pvclust, graph
System Requirements
License GPL (>= 2)
Depends On Me
Imports Me
Suggests Me PANR
Version 1.0.14
Since Bioconductor 2.9 (R-2.14)

Package Downloads

Package Source RedeR_1.0.14.tar.gz
Windows Binary (32- & 64-bit)
MacOS 10.5 (Leopard) binary RedeR_1.0.14.tgz
Package Downloads Report Download Stats

Workflows »

Common Bioconductor workflows include:


Mailing Lists »

Post questions about Bioconductor packages to our mailing lists. Read the posting guide before posting!

Fred Hutchinson Cancer Research Center