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>

To install this package, start R and enter:

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

To cite this package in a publication, start R and enter:

    citation("GeneGA")

Documentation

PDF R Script GeneGA
PDF   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 1.2.0
Since Bioconductor 2.7 (R-2.12)

Package Downloads

Package Source GeneGA_1.2.0.tar.gz
Windows Binary
MacOS 10.5 (Leopard) binary GeneGA_1.2.0.tgz
Package Downloads Report Download Stats

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