recipe bioconductor-flowcore

flowCore: Basic structures for flow cytometry data







biotools: flowcore, doi: 10.1186/1471-2105-10-106

Provides S4 data structures and basic functions to deal with flow cytometry data.

package bioconductor-flowcore

(downloads) docker_bioconductor-flowcore



depends bioconductor-biobase:


depends bioconductor-biobase:


depends bioconductor-biocgenerics:


depends bioconductor-biocgenerics:


depends bioconductor-cytolib:


depends bioconductor-cytolib:


depends bioconductor-rprotobuflib:


depends bioconductor-rprotobuflib:


depends bioconductor-s4vectors:


depends bioconductor-s4vectors:


depends libblas:


depends libgcc-ng:


depends liblapack:


depends libstdcxx-ng:


depends r-base:


depends r-bh:


depends r-cpp11:

depends r-matrixstats:

depends r-rcpp:



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-flowcore

and update with::

   mamba update bioconductor-flowcore

To create a new environment, run:

mamba create --name myenvname bioconductor-flowcore

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

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