recipe bioconductor-macsquantifyr

Fast treatment of MACSQuantify FACS data






Automatically process the metadata of MACSQuantify FACS sorter. It runs multiple modules: i) imports of raw file and graphical selection of duplicates in well plate, ii) computes statistics on data and iii) can compute combination index.

package bioconductor-macsquantifyr

(downloads) docker_bioconductor-macsquantifyr



depends r-base:


depends r-ggplot2:

depends r-ggrepel:

depends r-gridextra:

depends r-lattice:

depends r-latticeextra:

depends r-png:

depends r-prettydoc:

depends r-readxl:

depends r-rmarkdown:

depends r-rvest:

depends r-xml2:



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-macsquantifyr

and update with::

   mamba update bioconductor-macsquantifyr

To create a new environment, run:

mamba create --name myenvname bioconductor-macsquantifyr

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

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