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rsbml

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

All Bioconductor versions of rsbml

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9, 2.8, 2.7, 2.6, 2.5

R support for SBML, using libsbml

Bioconductor version: 3.24 · Package version: 2.71.1

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>

DOI: 10.18129/B9.bioc.rsbml

Citation

From within R, enter citation("rsbml"):

Michael Lawrence. rsbml: R support for SBML, using libsbml. doi:10.18129/B9.bioc.rsbml, R package version 2.71.1, https://bioconductor.org/packages/rsbml.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("rsbml")

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

Details

Version2.71.1
LicenseArtistic-2.0
URLhttp://www.sbml.org
System Requirementslibsbml (==5.10.2)
Last updated2026-05-29
In Bioconductor sinceBioC 2.5 or earlier (R-2.10) (16 years)
Downloads rank1514 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsGraphAndNetwork, Network, Pathways, Software
Package Short Url https://bioconductor.org/packages/rsbml/

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 ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packagersbml_2.71.1.tar.gz
Source Repositorygit clone https://git.bioconductor.org/packages/rsbml
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/rsbml
Package Downloads ReportDownload Stats
Dependencies

Depends: R (>= 2.6.0), BiocGenerics (>= 0.3.2), methods, utils

Imports: BiocGenerics, graph, utils

Reverse dependencies

Suggests Me (2): piano, SBMLR