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

Bioconductor version: Release (3.18)

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 (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


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

GeneGA PDF R Script
Reference Manual PDF


biocViews GeneExpression, Software
Version 1.52.0
In Bioconductor since BioC 2.7 (R-2.12) (13.5 years)
License GPL version 2
Depends seqinr, hash, methods
System Requirements
URL http://www.tbi.univie.ac.at/~ivo/RNA/
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Follow Installation instructions to use this package in your R session.

Source Package GeneGA_1.52.0.tar.gz
Windows Binary
macOS Binary (x86_64) GeneGA_1.52.0.tgz
macOS Binary (arm64) GeneGA_1.52.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/GeneGA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/GeneGA
Bioc Package Browser https://code.bioconductor.org/browse/GeneGA/
Package Short Url https://bioconductor.org/packages/GeneGA/
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