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To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("biocGraph")
In most cases, you don't need to download the package archive at all.
biocGraph
Graph examples and use cases in Bioinformatics
Bioconductor version: 2.14
This package provides examples and code that make use of the different graph related packages produced by Bioconductor.
Author: Li Long <li.long at isb-sib.ch>, Robert Gentleman <rgentlem at fhcrc.org>, Seth Falcon <sethf at fhcrc.org> Florian Hahne <fhahne at fhcrc.org>
Maintainer: Florian Hahne <florian.hahne at novartis.com>
Citation (from within R,
enter citation("biocGraph")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("biocGraph")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("biocGraph")
| R Script | Examples of plotting graphs Using Rgraphviz | |
| R Script | HOWTO layout pathways | |
| Reference Manual |
Details
| biocViews | GraphAndNetwork, Software, Visualization |
| Version | 1.26.0 |
| In Bioconductor since | BioC 2.1 (R-2.6) |
| License | Artistic-2.0 |
| Depends | Rgraphviz, graph |
| Imports | Rgraphviz, geneplotter, graph, BiocGenerics, methods |
| Suggests | fibroEset, geneplotter, hgu95av2.db |
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | |
| Suggests Me | BiocCaseStudies |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | biocGraph_1.26.0.tar.gz |
| Windows Binary | biocGraph_1.26.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | biocGraph_1.26.0.tgz |
| Mac OS X 10.9 (Mavericks) | biocGraph_1.26.0.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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