GeneGA
Design gene based on both mRNA secondary structure and codon usage bias using Genetic algorithm
Bioconductor version: 2.10
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, 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
| R Script | GeneGA | |
| Reference Manual |
Details
| biocViews | GeneExpression, Software |
| Depends | seqinr, hash, methods |
| Imports | |
| Suggests | |
| System Requirements | |
| License | GPL version 2 |
| URL | http://www.tbi.univie.ac.at/~ivo/RNA/ |
| Depends On Me | |
| Imports Me | |
| Suggests Me | |
| Version | 1.6.0 |
| Since | Bioconductor 2.7 (R-2.12) |
Package Downloads
| Package Source | GeneGA_1.6.0.tar.gz |
| Windows Binary | |
| MacOS 10.5 (Leopard) binary | GeneGA_1.6.0.tgz |
| Package Downloads Report | Download Stats |
Common Bioconductor workflows include:
- Oligonucleotide Arrays
- High-throughput Sequencing
- Annotation
- Variants
- Flow Cytometry and other assays
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