To install this package, start R and enter:

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

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

rsbml

R support for SBML, using libsbml

Bioconductor version: 2.13

Links R to libsbml for SBML parsing, validating output, provides an S4 SBML DOM, converts SBML to R graph objects. Optionally links to the SBML ODE Solver Library (SOSLib) for simulating models.

Author: Michael Lawrence <michafla at gene.com>

Maintainer: Michael Lawrence <michafla at gene.com>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("rsbml")

 

PDF R Script Quick start for rsbml
PDF   Reference Manual
Text   NEWS

Details

biocViews GraphsAndNetworks, NetworkAnalysis, Pathways, Software
Version 2.20.1
In Bioconductor since BioC 2.1 (R-2.6)
License Artistic-2.0
Depends R (>= 2.6.0), BiocGenerics(>= 0.3.2), methods, utils
Imports BiocGenerics, graph, utils
Suggests
System Requirements libsbml (>=3.0.3)
URL http://www.sbml.org
Depends On Me BiGGR
Imports Me
Suggests Me piano, SBMLR

Package Archives

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

Package Source rsbml_2.20.1.tar.gz
Windows Binary rsbml_2.20.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) rsbml_2.20.1.tgz
Browse/checkout source (username/password: readonly)
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