SBMLR
SBML-R Interface and Analysis Tools
Bioconductor version: Release (3.17)
This package contains a systems biology markup language (SBML) interface to R.
Author: Tomas Radivoyevitch, Vishak Venkateswaran
Maintainer: Tomas Radivoyevitch <radivot at gmail.com>
Citation (from within R, enter
citation("SBMLR")):
Installation
To install this package, start R (version "4.3") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SBMLR")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("SBMLR")| Quick intro to SBMLR | R Script | |
| Reference Manual | ||
| NEWS | Text |
Details
| biocViews | GraphAndNetwork, Network, Pathways, Software |
| Version | 1.96.0 |
| In Bioconductor since | BioC 1.7 (R-2.2) (18 years) |
| License | GPL-2 |
| Depends | XML, deSolve |
| Imports | |
| Linking To | |
| Suggests | rsbml |
| System Requirements | |
| Enhances | |
| URL | http://epbi-radivot.cwru.edu/SBMLR/SBMLR.html |
See More
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Links To Me | |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Source Package | SBMLR_1.96.0.tar.gz |
| Windows Binary | SBMLR_1.96.0.zip (64-bit only) |
| macOS Binary (x86_64) | SBMLR_1.96.0.tgz |
| macOS Binary (arm64) | SBMLR_1.96.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/SBMLR |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SBMLR |
| Bioc Package Browser | https://code.bioconductor.org/browse/SBMLR/ |
| Package Short Url | https://bioconductor.org/packages/SBMLR/ |
| Package Downloads Report | Download Stats |