To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RBGL")
In most cases, you don't need to download the package archive at all.
RBGL
An interface to the BOOST graph library
Bioconductor version: 3.0
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: Bioconductor Package Maintainer <maintainer at bioconductor.org>
Citation (from within R,
enter citation("RBGL")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("RBGL")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("RBGL")
| R Script | RBGL Overview | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | GraphAndNetwork, Network, Software |
| Version | 1.42.0 |
| In Bioconductor since | BioC 1.6 (R-2.1) or earlier |
| License | Artistic-2.0 |
| Depends | graph, methods |
| Imports | methods |
| LinkingTo | |
| Suggests | Rgraphviz, XML, RUnit, BiocGenerics |
| SystemRequirements | |
| Enhances | |
| URL | http://www.bioconductor.org |
| Depends On Me | apComplex, BioNet, CellNOptR, flowClust, joda, pkgDepTools, RpsiXML |
| Imports Me | biocViews, CAMERA, Category, clipper, DEGraph, flowWorkspace, GeneAnswers, GOSim, GOstats, NCIgraph, nem, openCyto, OrganismDbi, pkgDepTools, predictionet, RDAVIDWebService, Streamer |
| Suggests Me | BiocCaseStudies, DEGraph, GeneNetworkBuilder, graph, KEGGgraph, keggorthology, rBiopaxParser, VariantTools, yeastExpData |
| Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | RBGL_1.42.0.tar.gz |
| Windows Binary | RBGL_1.42.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | RBGL_1.42.0.tgz |
| Mac OS X 10.9 (Mavericks) | RBGL_1.42.0.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
- RNA-Seq workflow: gene-level exploratory analysis and differential expression
- Changing genomic coordinate systems with rtracklayer::liftOver
- Mass spectrometry and proteomics data analysis
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