To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("GeneGA")

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

GeneGA

   

This package is for version 2.8 of Bioconductor; for the stable, up-to-date release version, see GeneGA.

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

Bioconductor version: 2.8

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.

Author: Zhenpeng Li, Fei Li, Xiaochen Bo and Shengqi Wang

Maintainer: Zhenpeng Li <zpli21 at gmail.com>

Citation (from within R, enter citation("GeneGA")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://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 GeneGA.pdf
PDF   Reference Manual

Details

biocViews GeneExpression, Software
Version 1.2.0
In Bioconductor since BioC 2.7 (R-2.12) (5.5 years)
License GPL version 2
Depends GeneRfold, seqinr, hash, methods
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL
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_1.2.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/GeneGA/tree/release-2.8
Package Short Url http://bioconductor.org/packages/GeneGA/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center