Metadata-Version: 2.1
Name: pyrepseq
Version: 1.4.1
Summary: Python library for immune repertoire analyses
Home-page: http://pyrepseq.readthedocs.io/
Download-URL: http://github.com/andim/pyrepseq
Author: Q-Immuno Lab (PI: Andreas Tiffeau-Mayer)
Author-email: qimmuno@gmail.com
Maintainer: Andreas Tiffeau-Mayer
Maintainer-email: andimscience@gmail.com
License: MIT
Platform: OS Independent
Classifier: Development Status :: 5 - Production/Stable
Classifier: Environment :: Console
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Topic :: Scientific/Engineering
License-File: LICENSE
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: pandas
Requires-Dist: rapidfuzz
Requires-Dist: Levenshtein
Requires-Dist: matplotlib
Requires-Dist: seaborn
Requires-Dist: igraph
Requires-Dist: scikit-learn
Requires-Dist: logomaker
Requires-Dist: biopython
Requires-Dist: tcrdist3
Requires-Dist: tidytcells~=2.0


Pyrepseq = scipy & seaborn for studying adaptive immunity: modular algorithms for fast analyses, and bespoke plotting functions for compelling visualizations.


## Documentation and examples

You can find API documentation on [readthedocs](https://pyrepseq.readthedocs.io/en/latest/?badge=latest)

There are also Jupyter notebooks illustrating some of the functionality in the 'examples' [folder](https://github.com/andim/pyrepseq/tree/main/examples).

You can also find usage examples in the repository accompanying our recent paper [Mayer Callan PNAS 2023](https://github.com/andim/paper_coincidences).

## Installation

The quickest way to install Pyrepseq is via pip:

`pip install pyrepseq`


Pyrepseq can also be installed from its [Github](https://github.com/andim/pyrepseq) source, by running `python setup.py install` in the main directory.

## Support and contributing

For bug reports and enhancement requests use the [Github issue tool](http://github.com/andim/pyrepseq/issues/new), or (even better!) open a [pull request](http://github.com/andim/pyrepseq/pulls) with relevant changes. If you have any questions don't hesitate to contact us by email (andimscience@gmail.com) or Twitter ([@andimscience](http://twitter.com/andimscience)).

You can run the testsuite by running `pytest` in the top-level directory.

You are cordially invited to [contribute](https://github.com/andim/pyrepseq/blob/master/CONTRIBUTING.md) to the further development of pyrepseq!
