recipe scatac-fragment-tools

Tools for working with scATAC-seq fragment files.

Homepage:

https://github.com/aertslab/scatac_fragment_tools/

Documentation:

https://aertslab.github.io/scatac_fragment_tools/

License:

MIT

Recipe:

/scatac-fragment-tools/meta.yaml

package scatac-fragment-tools

versions:

0.1.4-0

depends joblib:

depends libgcc:

>=13

depends numba:

depends numpy:

<2

depends polars:

>=1.0.0

depends pyarrow:

depends pybigtools:

>=0.2.0

depends pybigwig:

depends python:

>=3.10,<3.11.0a0

depends python_abi:

3.10.* *_cp310

depends rich-argparse:

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 scatac-fragment-tools

and update with::

   mamba update scatac-fragment-tools

To create a new environment, run:

mamba create --name myenvname scatac-fragment-tools

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/scatac-fragment-tools:<tag>

(see `scatac-fragment-tools/tags`_ for valid values for ``<tag>``)

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Link to this page

Render an badge with the following MarkDown:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/scatac-fragment-tools/README.html)