recipe bioconductor-miaviz

Microbiome Analysis Plotting and Visualization



Artistic-2.0 | file LICENSE



The miaViz package implements functions to visualize TreeSummarizedExperiment objects especially in the context of microbiome analysis. Part of the mia family of R/Bioconductor packages.

package bioconductor-miaviz

(downloads) docker_bioconductor-miaviz



depends bioconductor-biocgenerics:


depends bioconductor-biocparallel:


depends bioconductor-delayedarray:


depends bioconductor-dirichletmultinomial:


depends bioconductor-ggtree:


depends bioconductor-mia:


depends bioconductor-s4vectors:


depends bioconductor-scater:


depends bioconductor-singlecellexperiment:


depends bioconductor-summarizedexperiment:


depends bioconductor-treesummarizedexperiment:


depends r-ape:

depends r-base:


depends r-dplyr:

depends r-ggnewscale:

depends r-ggplot2:

depends r-ggraph:


depends r-ggrepel:

depends r-purrr:

depends r-rlang:

depends r-tibble:

depends r-tidygraph:

depends r-tidyr:

depends r-tidytree:

depends r-viridis:



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-miaviz

and update with::

   mamba update bioconductor-miaviz

To create a new environment, run:

mamba create --name myenvname bioconductor-miaviz

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

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