Metadata-Version: 2.1
Name: dms-variants
Version: 1.6.0
Summary: Analyze deep mutational scanning of barcoded variants.
Home-page: https://github.com/jbloomlab/dms_variants
Download-URL: https://github.com/jbloomlab/dms_variants/tarball/1.6.0
Author: `the Bloom lab <https://research.fhcrc.org/bloom/en.html>`_
Author-email: jbloom@fredhutch.org
License: GPLv3
Platform: Linux and Mac OS X.
License-File: LICENSE.txt
Requires-Dist: binarymap>=0.1
Requires-Dist: biopython>=1.73
Requires-Dist: matplotlib>=3.1
Requires-Dist: pandas>=1.2
Requires-Dist: pyarrow
Requires-Dist: plotnine>0.7.0
Requires-Dist: regex>=2.4.153
Requires-Dist: requests
Requires-Dist: scipy>=1.1.0

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dms_variants
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.. image:: https://img.shields.io/pypi/v/dms_variants.svg
        :target: https://pypi.python.org/pypi/dms_variants

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        :target: https://github.com/jbloomlab/dms_variants/actions/workflows/test.yaml

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.. image:: https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/charliermarsh/ruff/main/assets/badge/v2.json
        :target: https://github.com/astral-sh/ruff

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        :target: https://mybinder.org/v2/gh/jbloomlab/dms_variants/master?filepath=notebooks

Analyze deep mutational scanning of barcoded variants and fit global epistasis models.

``dms_variants`` is a Python package written by `the Bloom lab <https://research.fhcrc.org/bloom/en.html>`_.

The source code is `on GitHub <https://github.com/jbloomlab/dms_variants>`_.

See the `dms_variants documentation <https://jbloomlab.github.io/dms_variants>`_ for details on how to install and use ``dms_variants``.

To contribute to this package, read the instructions in `CONTRIBUTING.rst <CONTRIBUTING.rst>`_.
