rsbml
R support for SBML, using libsbml
Bioconductor version: 2.10
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>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("rsbml")
To cite this package in a publication, start R and enter:
citation("rsbml")
Documentation
| R Script | Quick start for rsbml | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | GraphsAndNetworks, Software |
| Depends | R (>= 2.6.0), methods, utils |
| Imports | graph, utils |
| Suggests | |
| System Requirements | libsbml (>=3.0.3) |
| License | Artistic-2.0 |
| URL | http://www.sbml.org |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 2.14.4 |
| Since | Bioconductor 2.1 (R-2.6) |
Package Downloads
| Package Source | rsbml_2.14.4.tar.gz |
| Windows Binary | rsbml_2.14.4.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | rsbml_2.14.4.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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