PySnpTools
====================
PySnpTools is a library for reading and manipulating genetic data.
Main Features:
* [SnpReader](http://fastlmm.github.io/PySnpTools): Efficiently read genetic PLINK formats including \*.bed/bim/fam files.
Also, efficiently read parts of files, read kernel data, and standardize data.
New features include multi-threaded BED reading, cluster-ready BED data, on-the-fly SNP generation,
and larger in-memory data.
* [DistReader](https://fastlmm.github.io/PySnpTools/#module-pysnptools.distreader): Efficiently work with
unphased BGEN format and other diploid, biallelic distribution data.
Also, efficiently read parts of files. See [Distribution IPython Notebook](https://nbviewer.jupyter.org/github/fastlmm/PySnpTools/blob/master/doc/ipynb/Dist.ipynb).
* [util](https://fastlmm.github.io/PySnpTools/#module-pysnptools.util): In one line, intersect and re-order IIDs from snpreader and other sources.
Also, efficiently extract a submatrix from an ndarray.
* [IntRangeSet](https://fastlmm.github.io/PySnpTools/#util-intrangeset): Efficiently manipulate ranges of integers - for example, genetic position - with set operators including union, intersection, and set difference.
* [mapreduce1](https://fastlmm.github.io/PySnpTools/#module-pysnptools.util.mapreduce1): Run loops locally, on multiple processors, or on any cluster.
* [filecache](https://fastlmm.github.io/PySnpTools/#module-pysnptools.util.filecache): Read and write files locally or from/to any remote storage.
Install
-------
pip install pysnptools
Documentation
-------------
* [Main Documentation](http://fastlmm.github.io/PySnpTools/) with examples. It includes links to tutorial slides, notebooks, and video.
* [Project Home and Full Annotated Bibliography](https://fastlmm.github.io/)
Code
----
* [PyPi](https://pypi.org/project/pysnptools/)
* [GitHub](https://github.com/fastlmm/PySnpTools)
* [Change Log](CHANGELOG.md)
Contacts
--------
* Email the developers at <fastlmm-dev@python.org>.
* [Join](mailto:fastlmm-user-join@python.org?subject=Subscribe) the user discussion and announcement list (or use [web sign up](https://mail.python.org/mailman3/lists/fastlmm-user.python.org)).
* [Open an issue](https://github.com/fastlmm/PySnpTools/issues) on GitHub.
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