Metadata-Version: 2.1
Name: scanpy
Version: 1.4.4.post1
Summary: Single-Cell Analysis in Python.
Home-page: http://github.com/theislab/scanpy
Author: Alex Wolf, Philipp Angerer, Fidel Ramirez, Isaac Virshup, Sergei Rybakov, Gokcen Eraslan, Tom White, Malte Luecken, Davide Cittaro, Tobias Callies, Marius Lange, Andrés R. Muñoz-Rojas
Author-email: f.alex.wolf@gmx.de, philipp.angerer@helmholtz-muenchen.de
License: BSD
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Framework :: Jupyter
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX :: Linux
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Scientific/Engineering :: Visualization
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|PyPI| |bioconda| |Docs| |Build Status|

.. |PyPI| image:: https://img.shields.io/pypi/v/scanpy.svg
   :target: https://pypi.org/project/scanpy
.. |bioconda| image:: https://img.shields.io/badge/bioconda-🐍-blue.svg
   :target: http://bioconda.github.io/recipes/scanpy/README.html
.. |Docs| image:: https://readthedocs.com/projects/icb-scanpy/badge/?version=latest
   :target: https://scanpy.readthedocs.io
.. |Build Status| image:: https://travis-ci.org/theislab/scanpy.svg?branch=master
   :target: https://travis-ci.org/theislab/scanpy
..
   .. |Coverage| image:: https://codecov.io/gh/theislab/scanpy/branch/master/graph/badge.svg
      :target: https://codecov.io/gh/theislab/scanpy

Scanpy – Single-Cell Analysis in Python
=======================================

Scanpy is a scalable toolkit for analyzing single-cell gene expression data.
It includes preprocessing, visualization, clustering, pseudotime and trajectory
inference and differential expression testing. The Python-based implementation
efficiently deals with datasets of more than one million cells.

Discuss usage on `Discourse <https://scanpy.discourse.group/>`__.
Read the documentation_.
If you'd like to contribute by opening an issue or creating a pull request, please take a look at our `contributing guide`_.
If Scanpy is useful for your research, consider citing `Genome Biology (2018)`_.

.. _documentation: https://scanpy.readthedocs.io
.. _contributing guide: CONTRIBUTING.md
.. _Genome Biology (2018): https://doi.org/10.1186/s13059-017-1382-0


