recipe bioconductor-gladiatox

R Package for Processing High Content Screening data






GladiaTOX R package is an open-source, flexible solution to high-content screening data processing and reporting in biomedical research. GladiaTOX takes advantage of the tcpl core functionalities and provides a number of extensions: it provides a web-service solution to fetch raw data; it computes severity scores and exports ToxPi formatted files; furthermore it contains a suite of functionalities to generate pdf reports for quality control and data processing.

package bioconductor-gladiatox

(downloads) docker_bioconductor-gladiatox



depends r-base:


depends r-brew:

depends r-data.table:


depends r-dbi:

depends r-ggplot2:

depends r-ggrepel:

depends r-numderiv:

depends r-rcolorbrewer:

depends r-rcurl:

depends r-rjsonio:

depends r-rmariadb:

depends r-rsqlite:

depends r-stringr:

depends r-tidyr:

depends r-xml:

depends r-xtable:



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-gladiatox

and update with::

   mamba update bioconductor-gladiatox

To create a new environment, run:

mamba create --name myenvname bioconductor-gladiatox

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

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