Package: GeneGA 1.62.0

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_1.62.0.tar.gz
GeneGA_1.62.0.zip(r-4.7-any)GeneGA_1.62.0.zip(r-4.6-any)GeneGA_1.62.0.zip(r-4.5-any)
GeneGA_1.62.0.tgz(r-4.6-any)GeneGA_1.62.0.tgz(r-4.5-any)
GeneGA_1.62.0.tar.gz(r-4.7-any)GeneGA_1.62.0.tar.gz(r-4.6-any)
GeneGA_1.62.0.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-release.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

2.30 score 8 scripts 304 downloads 5 exports 11 dependencies

Last updated from:cc4a88f434 (on RELEASE_3_23). Checks:9 ERROR, 1 OK. Indexed: no.

TargetResultTimeFilesSyslog
bioc-checksERROR196
linux-devel-x86_64ERROR152
source / vignettesERROR164
linux-release-x86_64ERROR209
macos-release-arm64ERROR77
macos-oldrel-arm64ERROR75
windows-develERROR91
windows-releaseERROR64
windows-oldrelERROR78
wasm-releaseOK97

Exports:GeneCodonGeneFoldGAGeneGAplotGeneGAshow

Dependencies:ade4hashlatticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp