RBGL
An interface to the BOOST graph library
Bioconductor version: 2.6
A fairly extensive and comprehensive interface to the graph algorithms contained in the BOOST library.
Author: Vince Carey <stvjc at channing.harvard.edu>, Li Long <li.long at isb-sib.ch>, R. Gentleman
Maintainer: Li Long <li.long at isb-sib.ch>
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RBGL")
To cite this package in a publication, start R and enter:
citation("RBGL")
Documentation
| filedep.pdf | ||
| R Script | RBGL Overview | |
| Reference Manual |
Details
| biocViews | GraphsAndNetworks |
| Depends | graph, methods |
| Imports | methods |
| Suggests | |
| System Requirements | |
| License | Artistic-2.0 |
| URL | http://www.bioconductor.org |
| Depends On Me | apComplex, gene2pathway, pkgDepTools, RpsiXML |
| Imports Me | biocViews, CAMERA, Category, GOstats, nem, pkgDepTools |
| Suggests Me | BiocCaseStudies, graph, KEGGgraph, keggorthology, yeastExpData |
| Version | 1.24.0 |
| Since | Bioconductor 1.6 (R-2.1) or earlier |
Package Downloads
| Package Source | RBGL_1.24.0.tar.gz |
| Windows Binary | RBGL_1.24.0.zip (32- & 64-bit) |
| MacOS 10.5 (Leopard) binary | RBGL_1.24.0.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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