recipe bioconductor-flowcut

Automated Removal of Outlier Events and Flagging of Files Based on Time Versus Fluorescence Analysis






Common techinical complications such as clogging can result in spurious events and fluorescence intensity shifting, flowCut is designed to detect and remove technical artifacts from your data by removing segments that show statistical differences from other segments.

package bioconductor-flowcut

(downloads) docker_bioconductor-flowcut



depends bioconductor-flowcore:


depends bioconductor-flowdensity:


depends r-base:


depends r-cairo:

depends r-e1071:



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-flowcut

and update with::

   mamba update bioconductor-flowcut

To create a new environment, run:

mamba create --name myenvname bioconductor-flowcut

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

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