recipe bioconductor-flowai

Automatic and interactive quality control for flow cytometry data



GPL (>= 2)




biotools: flowai, doi: 10.1093/bioinformatics/btw191

The package is able to perform an automatic or interactive quality control on FCS data acquired using flow cytometry instruments. By evaluating three different properties: 1) flow rate, 2) signal acquisition, 3) dynamic range, the quality control enables the detection and removal of anomalies.

package bioconductor-flowai

(downloads) docker_bioconductor-flowai



depends bioconductor-flowcore:


depends r-base:


depends r-changepoint:

depends r-ggplot2:

depends r-knitr:

depends r-plyr:

depends r-rcolorbrewer:

depends r-reshape2:

depends r-rmarkdown:

depends r-scales:



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-flowai

and update with::

   mamba update bioconductor-flowai

To create a new environment, run:

mamba create --name myenvname bioconductor-flowai

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

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