To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("netbiov")
In most cases, you don't need to download the package archive at all.
Bioconductor version: Release (3.5)
A package that provides an effective visualization of large biological networks
Author: Shailesh tripathi and Frank Emmert-Streib
Maintainer: Shailesh tripathi <shailesh.tripathy at gmail.com>
Citation (from within R,
enter citation("netbiov")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("netbiov")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("netbiov")
R Script | netbiov: An R package for visualizing biological networks | |
Reference Manual | ||
Text | NEWS |
biocViews | GraphAndNetwork, Network, Software, Visualization |
Version | 1.10.0 |
In Bioconductor since | BioC 3.0 (R-3.1) (3 years) |
License | GPL (>= 2) |
Depends | R (>= 3.1.0), igraph (>= 0.7.1) |
Imports | |
LinkingTo | |
Suggests | BiocStyle, RUnit, BiocGenerics, Matrix |
SystemRequirements | |
Enhances | |
URL | http://www.bio-complexity.com |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | netbiov_1.10.0.tar.gz |
Windows Binary | netbiov_1.10.0.zip |
Mac OS X 10.11 (El Capitan) | netbiov_1.10.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/netbiov |
Package Short Url | http://bioconductor.org/packages/netbiov/ |
Package Downloads Report | Download Stats |
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