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)GeneGA_1.63.1.zip(r-4.6)GeneGA_1.63.1.zip(r-4.5)
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
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-1.63.0(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 8 scripts 296 downloads 5 exports 11 dependencies

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

TargetResultTimeFilesSyslog
bioc-checksERROR256
linux-devel-x86_64ERROR170
source / vignettesERROR167
linux-release-x86_64ERROR129
macos-release-arm64ERROR93
macos-oldrel-arm64ERROR99
windows-develERROR87
windows-releaseERROR79
windows-oldrelERROR75
wasm-releaseOK97

Exports:GeneCodonGeneFoldGAGeneGAplotGeneGAshow

Dependencies:ade4hashlatticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp