recipe bioconductor-flowclust

Clustering for Flow Cytometry







biotools: flowclust

Robust model-based clustering using a t-mixture model with Box-Cox transformation. Note: users should have GSL installed. Windows users: 'consult the README file available in the inst directory of the source distribution for necessary configuration instructions'.

package bioconductor-flowclust

(downloads) docker_bioconductor-flowclust



depends bioconductor-biobase:


depends bioconductor-biobase:


depends bioconductor-biocgenerics:


depends bioconductor-biocgenerics:


depends bioconductor-flowcore:


depends bioconductor-flowcore:


depends bioconductor-graph:


depends bioconductor-graph:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends r-base:




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-flowclust

and update with::

   mamba update bioconductor-flowclust

To create a new environment, run:

mamba create --name myenvname bioconductor-flowclust

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

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