To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R") biocLite("rsbml")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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 and enter:
source("http://bioconductor.org/biocLite.R") biocLite("rsbml")
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 |
biocViews | GraphsAndNetworks, NetworkAnalysis, Pathways, Software |
Version | 2.20.1 |
In Bioconductor since | BioC 2.1 (R-2.6) |
License | Artistic-2.0 |
Depends | R (>= 2.6.0), BiocGenerics(>= 0.3.2), methods, utils |
Imports | BiocGenerics, graph, utils |
Suggests | |
System Requirements | libsbml (>=3.0.3) |
URL | http://www.sbml.org |
Depends On Me | BiGGR |
Imports Me | |
Suggests Me | piano, SBMLR |
Follow Installation instructions to use this package in your R session.
Package Source | rsbml_2.20.1.tar.gz |
Windows Binary | rsbml_2.20.1.zip (32- & 64-bit) |
Mac OS X 10.6 (Snow Leopard) | rsbml_2.20.1.tgz |
Browse/checkout source | (username/password: readonly) |
Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
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