rsbml

DOI: 10.18129/B9.bioc.rsbml    

R support for SBML, using libsbml

Bioconductor version: Release (3.11)

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>

Installation

To install this package, start R (version "4.0") and enter:

if (!requireNamespace("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")

 

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

Details

biocViews	GraphAndNetwork, Network, Pathways, Software
Version	2.46.0
In Bioconductor since	BioC 2.1 (R-2.6) (13 years)
License	Artistic-2.0
Depends	R (>= 2.6.0), BiocGenerics(>= 0.3.2), methods, utils
Imports	BiocGenerics, graph, utils
LinkingTo
Suggests
SystemRequirements	libsbml (==5.10.2)
Enhances
URL	http://www.sbml.org
Depends On Me	BiGGR
Imports Me
Suggests Me	piano, SBMLR
Links To Me
Build Report

Package Archives

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

Source Package	rsbml_2.46.0.tar.gz
Windows Binary	rsbml_2.46.0.zip (32- & 64-bit)
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/rsbml
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/rsbml
Package Short Url	https://bioconductor.org/packages/rsbml/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.11	Source Archive