rsbml
R support for SBML, using libsbml
Bioconductor version: Release (3.19)
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 "4.4") 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")| Quick start for rsbml | R Script | |
| Reference Manual | ||
| NEWS | Text | |
| INSTALL | Text |
Details
| biocViews | GraphAndNetwork, Network, Pathways, Software |
| Version | 2.62.0 |
| In Bioconductor since | BioC 2.1 (R-2.6) (17 years) |
| License | Artistic-2.0 |
| Depends | R (>= 2.6.0), BiocGenerics(>= 0.3.2), methods, utils |
| Imports | BiocGenerics, graph, utils |
| System Requirements | libsbml (==5.10.2) |
| URL | http://www.sbml.org |
See More
| Suggests | |
| Linking To | |
| Enhances | |
| Depends On Me | BiGGR |
| Imports Me | |
| Suggests Me | SBMLR, piano, seeds |
| Links To Me | |
| Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | rsbml_2.62.0.tar.gz |
| Windows Binary (x86_64) | rsbml_2.62.0.zip |
| macOS Binary (x86_64) | |
| macOS Binary (arm64) | |
| Source Repository | git clone https://git.bioconductor.org/packages/rsbml |
| Source Repository (Developer Access) | git clone [email protected]:packages/rsbml |
| Bioc Package Browser | https://code.bioconductor.org/browse/rsbml/ |
| Package Short Url | https://bioconductor.org/packages/rsbml/ |
| Package Downloads Report | Download Stats |