To install this package, start R and enter:

## try http:// if https:// URLs are not supported

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




This is the development version of BiRewire; for the stable release version, see BiRewire.

High-performing routines for the randomization of a bipartite graph (or a binary event matrix), undirected and directed signed graph preserving degree distribution (or marginal totals)

Bioconductor version: Development (3.6)

Fast functions for bipartite network rewiring through N consecutive switching steps (See References) and for the computation of the minimal number of switching steps to be performed in order to maximise the dissimilarity with respect to the original network. Includes functions for the analysis of the introduced randomness across the switching steps and several other routines to analyse the resulting networks and their natural projections. Extension to undirected networks and directed signed networks is also provided. Starting from version 1.9.7 a more precise bound (especially for small network) has been implemented. Starting from version 2.2.0 the analysis routine is more complete and a visual montioring of the underlying Markov Chain has been implemented. Starting from 3.6.0 the library can handle also matrices with NA (not for the directed signed graphs).

Author: Andrea Gobbi [aut], Francesco Iorio [aut], Giuseppe Jurman [cbt], Davide Albanese [cbt], Julio Saez-Rodriguez [cbt].

Maintainer: Andrea Gobbi <gobbi.andrea at>

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


To install this package, start R and enter:

## try http:// if https:// URLs are not supported


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



PDF R Script BiRewire
PDF   Reference Manual
Text   NEWS


biocViews Network, Software
Version 3.9.1
In Bioconductor since BioC 2.13 (R-3.0) (3.5 years)
License GPL-3
Depends igraph, slam, tsne, Matrix
Suggests RUnit, BiocGenerics
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source BiRewire_3.9.1.tar.gz
Windows Binary (32- & 64-bit)
Mac OS X 10.11 (El Capitan) BiRewire_3.9.1.tgz
Subversion source (username/password: readonly)
Git source
Package Short Url
Package Downloads Report Download Stats

Documentation »


R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: