Package: GeneGA 1.63.1

Zhenpeng Li

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

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.

Authors:Zhenpeng Li and Haixiu Huang

GeneGA_1.63.1.tar.gz
GeneGA_1.63.1.zip(r-4.7-any)GeneGA_1.63.1.zip(r-4.6-any)GeneGA_1.63.1.zip(r-4.5-any)
GeneGA_1.63.1.tgz(r-4.6-any)GeneGA_1.63.1.tgz(r-4.5-any)
GeneGA_1.63.1.tar.gz(r-4.7-any)GeneGA_1.63.1.tar.gz(r-4.6-any)
GeneGA_1.63.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GeneGA/json (API)

# Install 'GeneGA' in R:
install.packages('GeneGA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • wSet - Codon Adaptation Index (CAI) w tables

On BioConductor:GeneGA-1.63.1(bioc 3.24)GeneGA-1.62.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

geneexpression

2.48 score 10 scripts 400 downloads 5 exports 11 dependencies

Last updated from:9e9d8f2feb. Checks:9 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksERROR137
linux-develERROR232
source / vignettesERROR182
linux-releaseERROR221
macos-releaseERROR112
macos-oldrelERROR117
windows-develERROR68
windows-releaseERROR51
windows-oldrelERROR60
wasm-releaseOK79

Exports:GeneCodonGeneFoldGAGeneGAplotGeneGAshow

Dependencies:ade4hashlatticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp