To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("GeneGA")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.1
R based Genetic algorithm for gene expression optimization by considering both mRNA secondary structure and codon usage bias, GeneGA includes the information of highly expressed genes of almost 200 genomes. Meanwhile, Vienna RNA Package is needed to ensure GeneGA to function properly.
Author: Zhenpeng Li and Haixiu Huang
Maintainer: Zhenpeng Li <zpli21 at gmail.com>
Citation (from within R,
enter citation("GeneGA")
):
To install this package, start R and enter:
## try http if https is not available source("https://bioconductor.org/biocLite.R") biocLite("GeneGA")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GeneGA")
R Script | GeneGA | |
Reference Manual |
biocViews | GeneExpression, Software |
Version | 1.18.0 |
In Bioconductor since | BioC 2.7 (R-2.12) (5 years) |
License | GPL version 2 |
Depends | seqinr, hash, methods |
Imports | |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | http://www.tbi.univie.ac.at/~ivo/RNA/ |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | GeneGA_1.18.0.tar.gz |
Windows Binary | |
Mac OS X 10.6 (Snow Leopard) | GeneGA_1.18.0.tgz |
Mac OS X 10.9 (Mavericks) | GeneGA_1.18.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/GeneGA/tree/release-3.1 |
Package Short Url | http://bioconductor.org/packages/GeneGA/ |
Package Downloads Report | Download Stats |
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