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coRdon

This is the released version of coRdon; for the devel version, see coRdon.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

Codon Usage Analysis and Prediction of Gene Expressivity


Bioconductor version: Release (3.23)

Tool for analysis of codon usage in various unannotated or KEGG/COG annotated DNA sequences. Calculates different measures of CU bias and CU-based predictors of gene expressivity, and performs gene set enrichment analysis for annotated sequences. Implements several methods for visualization of CU and enrichment analysis results.

Author: Anamaria Elek [cre, aut], Maja Kuzman [aut], Kristian Vlahovicek [aut]

Maintainer: Anamaria Elek <anamariaelek at gmail.com>

Citation (from within R, enter citation("coRdon")):

Anamaria Elek, Maja Kuzman, Kristian Vlahovicek. coRdon: Codon Usage Analysis and Prediction of Gene Expressivity. doi:10.18129/B9.bioc.coRdon, R package version 1.30.0, https://bioconductor.org/packages/coRdon.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("coRdon")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("coRdon")
coRdon HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews BiomedicalInformatics, GeneExpression, GenePrediction, GeneSetEnrichment, Genetics CellBiology, ImmunoOncology, KEGG, Metagenomics, Pathways, Software, Visualization
Version1.30.0
In Bioconductor sinceBioC 3.8 (R-3.5) (8 years)
License Artistic-2.0
Depends R (>= 3.5)
Imports methods, stats, utils, Biostrings, Biobase, dplyr, stringr, purrr, ggplot2, data.table
System Requirements
URLhttps://github.com/BioinfoHR/coRdon
Bug Reportshttps://github.com/BioinfoHR/coRdon/issues
See More
Suggests BiocStyle, testthat, knitr, rmarkdown
Linking To
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Depends On Me
Imports Me vhcub
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package coRdon_1.30.0.tar.gz
Windows Binary (x86_64) coRdon_1.30.0.zip
macOS Binary (big-sur-x86_64) coRdon_1.30.0.tgz
macOS Binary (sonoma-arm64) coRdon_1.30.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/coRdon
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/coRdon
Package Short Url https://bioconductor.org/packages/coRdon/
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