GeneGA
Design gene based on both mRNA secondary structure and codon usage bias using Genetic algorithm
Bioconductor version: 2.9
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
| 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 | 1.4.0 |
| Since | Bioconductor 2.7 (R-2.12) |
Package Downloads
| Package Source | GeneGA_1.4.0.tar.gz |
| Windows Binary | |
| MacOS 10.5 (Leopard) binary | GeneGA_1.4.0.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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