To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SBMLR")
In most cases, you don't need to download the package archive at all.
SBMLR
SBML-R Interface and Analysis Tools
Bioconductor version: 2.14
This package contains a systems biology markup language (SBML) interface to R.
Author: Tomas Radivoyevitch, Vishak Venkateswaran
Maintainer: Tomas Radivoyevitch <txr24 at case.edu>
Citation (from within R,
enter citation("SBMLR")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("SBMLR")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SBMLR")
| R Script | Quick intro to SBMLR | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | GraphAndNetwork, Network, Pathways, Software |
| Version | 1.60.0 |
| In Bioconductor since | BioC 1.7 (R-2.2) |
| License | GPL-2 |
| Depends | XML, deSolve |
| Imports | |
| Suggests | rsbml |
| System Requirements | |
| URL | http://epbi-radivot.cwru.edu/SBMLR/SBMLR.html |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | SBMLR_1.60.0.tar.gz |
| Windows Binary | SBMLR_1.60.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | SBMLR_1.60.0.tgz |
| Mac OS X 10.9 (Mavericks) | SBMLR_1.60.0.tgz |
| Browse/checkout source | (username/password: readonly) |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Counting Reads for Differential Expression (parathyroideSE vignette)
- Annotation
- Annotating Variants
- Annotating Ranges
- Flow Cytometry and other assays
- Candidate Binding Sites for Known Transcription Factors
- Cloud-enabled cis-eQTL search and annotation
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