recipe stoatydive

StoatyDive is a tool to evaluate and classify predicted peak profiles to assess the binding specificity of a protein to its targets.






package stoatydive

(downloads) docker_stoatydive



depends bedtools:


depends matplotlib-base:

depends numpy:

depends python:

depends r-base:

depends r-data.table:

depends r-umap:

depends r-zoo:

depends scipy:




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 stoatydive

and update with::

   mamba update stoatydive

To create a new environment, run:

mamba create --name myenvname stoatydive

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 `stoatydive/tags`_ for valid values for ``<tag>``)

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