recipe sequnwinder

SeqUnwinder is a framework for characterizing class-discriminative motifs in a collection of genomic loci that have several (overlapping) annotation labels.






package sequnwinder

(downloads) docker_sequnwinder



depends meme:


depends openjdk:




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 sequnwinder

and update with::

   mamba update sequnwinder

To create a new environment, run:

mamba create --name myenvname sequnwinder

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

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