recipe bioconductor-ggkegg

KEGG pathway visualization by ggplot2






This package aims to import, parse, and analyze KEGG data such as KEGG PATHWAY and KEGG MODULE. The package supports visualizing KEGG information using ggplot2 and ggraph through using the grammar of graphics. The package enables the direct visualization of the results from various omics analysis packages.

package bioconductor-ggkegg

(downloads) docker_bioconductor-ggkegg



depends bioconductor-annotationdbi:


depends bioconductor-biocfilecache:




depends r-base:


depends r-cairo:

depends r-data.table:

depends r-dplyr:

depends r-getoptlong:

depends r-ggplot2:

depends r-ggraph:

depends r-igraph:

depends r-magick:

depends r-patchwork:

depends r-shadowtext:

depends r-stringr:

depends r-tibble:

depends r-tidygraph:

depends r-xml:



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-ggkegg

and update with::

   mamba update bioconductor-ggkegg

To create a new environment, run:

mamba create --name myenvname bioconductor-ggkegg

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-ggkegg/tags`_ for valid values for ``<tag>``)

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