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23 changes: 12 additions & 11 deletions README.rst
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Scanpy – Single-Cell Analysis in Python
=======================================

.. raw:: html
.. image:: http://falexwolf.de/img/tsne_1.3M.png
:width: 90px
:align: left

<p>
<img src="http://falexwolf.de/img/tsne_1.3M.png" style="width: 90px; margin: 3px 10px 5px 5px" align="left">
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.
</p>
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.

Read the `documentation <https://scanpy.readthedocs.io>`__.
If Scanpy is useful for your research, consider citing `Genome Biology (2018) <https://doi.org/10.1186/s13059-017-1382-0>`__.
Read the documentation_.
If Scanpy is useful for your research, consider citing `Genome Biology (2018)`_.

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