rsbml

DOI: 10.18129/B9.bioc.rsbml    

R support for SBML, using libsbml

Bioconductor version: Release (3.14)

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 "4.1") 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")

 

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

Details

biocViews GraphAndNetwork, Network, Pathways, Software
Version 2.52.0
In Bioconductor since BioC 2.1 (R-2.6) (14.5 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_2.52.0.tar.gz
Windows Binary rsbml_2.52.0.zip
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 3.14 Source Archive

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