recipe bioconductor-cordon

Codon Usage Analysis and Prediction of Gene Expressivity






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.

package bioconductor-cordon

(downloads) docker_bioconductor-cordon



depends bioconductor-biobase:


depends bioconductor-biostrings:


depends r-base:


depends r-data.table:

depends r-dplyr:

depends r-ggplot2:

depends r-purrr:

depends r-stringr:



You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).

While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.

Given that you already have a conda environment in which you want to have this package, install with:

   mamba install bioconductor-cordon

and update with::

   mamba update bioconductor-cordon

To create a new environment, run:

mamba create --name myenvname bioconductor-cordon

with myenvname being a reasonable name for the environment (see e.g. the mamba docs for details and further options).

Alternatively, use the docker container:

   docker pull<tag>

(see `bioconductor-cordon/tags`_ for valid values for ``<tag>``)

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