rsbml

This is the released version of rsbml; for the devel version, see rsbml.

R support for SBML, using libsbml


Bioconductor version: Release (3.20)

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 (version "4.4") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("rsbml")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

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

browseVignettes("rsbml")
Quick start for rsbml PDF R Script
Reference Manual PDF
NEWS Text
INSTALL Text

Details

biocViews GraphAndNetwork, Network, Pathways, Software
Version 2.64.0
In Bioconductor since BioC 2.1 (R-2.6) (17 years)
License Artistic-2.0
Depends R (>= 2.6.0), BiocGenerics(>= 0.3.2), methods, utils
Imports BiocGenerics, graph, utils
System Requirements libsbml (==5.10.2)
URL http://www.sbml.org
See More
Suggests
Linking To
Enhances
Depends On Me BiGGR
Imports Me
Suggests Me piano, SBMLR, seeds
Links To Me
Build Report Build Report

Package Archives

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

Source Package rsbml_2.64.0.tar.gz
Windows Binary (x86_64) rsbml_2.64.0.zip
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/rsbml
Source Repository (Developer Access) git clone [email protected]:packages/rsbml
Bioc Package Browser https://code.bioconductor.org/browse/rsbml/
Package Short Url https://bioconductor.org/packages/rsbml/
Package Downloads Report Download Stats