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rsbml

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

All versions 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: Development (3.24)

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")):

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.

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
INSTALLText

Details

biocViews GraphAndNetwork, Network, Pathways, Software
Version2.71.1
In Bioconductor sinceBioC 2.1 (R-2.6) (19 years)
License Artistic-2.0
Depends R (>= 2.6.0), BiocGenerics (>= 0.3.2), methods, utils
Imports BiocGenerics, graph, utils
System Requirementslibsbml (==5.10.2)
URLhttp://www.sbml.org
See More
Suggests
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me piano, SBMLR
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package rsbml_2.71.1.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit 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 ReportDownload Stats