To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("FGNet")
In most cases, you don't need to download the package archive at all.
FGNet
Functional gene networks derived from biological enrichment analyses
Bioconductor version: 2.14
Build and visualize functional gene networks from clustering of enrichment analyses in multiple annotation spaces. The package includes an interface to perform the analysis through David and GeneTerm Linker.
Author: Sara Aibar, Celia Fontanillo, Conrad Droste and Javier De Las Rivas. Bioinformatics and Functional Genomics Group. Cancer Research Center (CiC-IBMCC, CSIC/USAL). Salamanca. Spain.
Maintainer: Sara Aibar <saibar at usal.es>
Citation (from within R,
enter citation("FGNet")):
Installation
To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("FGNet")
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("FGNet")
| R Script | FGNet-vignette | |
| Reference Manual | ||
| Text | NEWS |
Details
| biocViews | Annotation, GO, GeneSetEnrichment, NetworkVisualization, Networks, Pathways, Software |
| Version | 2.0.0 |
| In Bioconductor since | BioC 2.13 (R-3.0) |
| License | GPL (>= 2) |
| Depends | R (>= 2.15) |
| Imports | igraph (>= 0.6), RCurl, hwriter, R.utils, XML |
| Suggests | RUnit, BiocGenerics, org.Sc.sgd.db |
| System Requirements | |
| URL | http://gtlinker.cnb.csic.es |
| Depends On Me | |
| Imports Me | |
| Suggests Me |
Package Archives
Follow Installation instructions to use this package in your R session.
| Package Source | FGNet_2.0.0.tar.gz |
| Windows Binary | FGNet_2.0.0.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | FGNet_2.0.0.tgz |
| Mac OS X 10.9 (Mavericks) | FGNet_2.0.0.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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