recipe ashleys-qc

Automated Selection of High quality Libraries for the Extensive analYsis of Strandseq data (ASHLEYS).

Homepage:

https://github.com/friendsofstrandseq/ashleys-qc

License:

MIT / MIT License

Recipe:

/ashleys-qc/meta.yaml

package ashleys-qc

versions:

0.2.1-0,  0.2.0-0

depends matplotlib-base:

depends pandas:

depends pip:

depends pysam:

depends pytest:

depends python:

depends scikit-learn:

requirements:

additional platforms:

Installation

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 ashleys-qc

and update with::

   mamba update ashleys-qc

To create a new environment, run:

mamba create --name myenvname ashleys-qc

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 quay.io/biocontainers/ashleys-qc:<tag>

(see `ashleys-qc/tags`_ for valid values for ``<tag>``)

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