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-1.57.0(bioc 3.21)GeneGA-1.56.0(bioc 3.20)

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 169 downloads 5 exports 11 dependencies

Last updated 2 months agofrom:29ef0d44e5. Checks:ERROR: 7. Indexed: yes.

TargetResultDate
Doc / VignettesFAILDec 29 2024
R-4.5-winERRORDec 29 2024
R-4.5-linuxERRORDec 29 2024
R-4.4-winERRORDec 29 2024
R-4.4-macERRORDec 29 2024
R-4.3-winERRORDec 29 2024
R-4.3-macERRORDec 29 2024

Exports:GeneCodonGeneFoldGAGeneGAplotGeneGAshow

Dependencies:ade4hashlatticeMASSnlmepixmapRcppRcppArmadillosegmentedseqinrsp