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
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Design gene based on both mRNA secondary structure and codon usage bias using Genetic algorithm
Bioconductor version: Release (3.5)
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:
## 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")
| R Script | GeneGA | |
| Reference Manual |
Details
| biocViews | GeneExpression, Software |
| Version | 1.26.0 |
| In Bioconductor since | BioC 2.7 (R-2.12) (7 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.
| Source Package | GeneGA_1.26.0.tar.gz |
| Windows Binary | |
| Mac OS X 10.11 (El Capitan) | GeneGA_1.26.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/GeneGA |
| Package Short Url | http://bioconductor.org/packages/GeneGA/ |
| Package Downloads Report | Download Stats |
Documentation »
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