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
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 8 scripts 5 exports 11 dependencies

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

TargetResultTimeFilesSyslog
bioc-checksERROR143
linux-devel-x86_64ERROR174
source / vignettesERROR147
linux-release-x86_64ERROR140
macos-release-arm64ERROR75
macos-oldrel-arm64ERROR82
windows-develERROR73
windows-releaseERROR75
windows-oldrelERROR80
wasm-releaseOK133

Exports:GeneCodonGeneFoldGAGeneGAplotGeneGAshow

Dependencies:ade4hashlatticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp