GeneGA

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

Bioconductor version: Release (2.7)

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

To install this package, start R and enter:

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

Documentation

PDF

R Script

GeneGA

Reference Manual

Details

biocViews	GeneExpression
Depends	GeneRfold, seqinr, hash, methods
Imports
Suggests
System Requirements
License	GPL version 2
URL
Depends On Me
Imports Me
Suggests Me
Version	1.0.0

Package Downloads

Package Source	GeneGA_1.0.0.tar.gz
Windows Binary
MacOS 10.5 (Leopard) binary	GeneGA_1.0.0.tgz
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