To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("GeneGA")

In most cases, you don't need to download the package archive at all.

GeneGA

 

Design gene based on both mRNA secondary structure and codon usage bias using Genetic algorithm

Bioconductor version: Release (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")):

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("GeneGA")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GeneGA")

 

PDF R Script GeneGA
PDF   Reference Manual

Details

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  

Package Archives

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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