Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("rsbml")
R Script | Quick start for rsbml | |
Reference Manual | ||
Text | NEWS | |
Text | INSTALL |
biocViews | GraphAndNetwork, Network, Pathways, Software |
Version | 2.56.0 |
In Bioconductor since | BioC 2.1 (R-2.6) (15.5 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 |
Follow Installation instructions to use this package in your R session.
Source Package | rsbml_2.56.0.tar.gz |
Windows Binary | rsbml_2.56.0.zip (64-bit only) |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
Source Repository | git clone https://git.bioconductor.org/packages/rsbml |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/rsbml |
Bioc Package Browser | https://code.bioconductor.org/browse/rsbml/ |
Package Short Url | https://bioconductor.org/packages/rsbml/ |
Package Downloads Report | Download Stats |
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