PyPop 1.0.0 open-source population genomics software released

As part of the development team, Amber Biology is proud to announce the release of PyPop 1.0.0. PyPop (Python for Population Genomics) is an open-source (GPL-licensed) pipeline for large-scale population genomics analyses, such as tests for selection and estimates of haplotype frequencies used widely in both the biomedical and evolutionary and statistical genetics community, and has contributed to over 300 peer-reviewed scientific articles. PyPop 1.0.0 is the first official release of PyPop using Python 3, and the first release to be included in Python Package Index (PyPI).

The Amber Biology Partners are big supporters of open-source Python software in science, as well as open-science in general, and this release includes major contributions from both Alex Lancaster (as lead developer and author) and Gordon Webster. An associated software record with a citeable DOI has been published:

Zenodo: https://zenodo.org/records/10080668

We would also like to thank all contributors to the 1.0.0 release, which has been a few years in the making, including Richard Single, Owen Solberg, Steve Mack, Michael Mariani, Vanessa Sochat, Jurriaan H. Spaaks and Karl Kornel

Release notes: https://github.com/alexlancaster/pypop/releases/tag/v1.0.0

PyPI package: https://pypi.org/project/pypop-genomics/