Package: GeneGA 1.57.0

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_1.57.0.tar.gz
GeneGA_1.57.0.zip(r-4.5)GeneGA_1.57.0.zip(r-4.4)GeneGA_1.57.0.zip(r-4.3)
GeneGA_1.57.0.tgz(r-4.4-any)GeneGA_1.57.0.tgz(r-4.3-any)
GeneGA_1.57.0.tar.gz(r-4.5-noble)GeneGA_1.57.0.tar.gz(r-4.4-noble)
GeneGA_1.57.0.tgz(r-4.4-emscripten)GeneGA_1.57.0.tgz(r-4.3-emscripten)
GeneGA.pdf |GeneGA.html
GeneGA/json (API)

# Install 'GeneGA' in R:
install.packages('GeneGA', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • wSet - Codon Adaptation Index (CAI) w tables

On BioConductor:GeneGA-1.55.0(bioc 3.20)GeneGA-1.54.0(bioc 3.19)

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

geneexpression

2.30 score 6 scripts 164 downloads 5 exports 11 dependencies

Last updated 26 days agofrom:29ef0d44e5. Checks:ERROR: 7. Indexed: yes.

TargetResultDate
Doc / VignettesFAILOct 30 2024
R-4.5-winERROROct 30 2024
R-4.5-linuxERROROct 30 2024
R-4.4-winERROROct 30 2024
R-4.4-macERROROct 30 2024
R-4.3-winERROROct 30 2024
R-4.3-macERROROct 30 2024

Exports:GeneCodonGeneFoldGAGeneGAplotGeneGAshow

Dependencies:ade4hashlatticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp