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About

DOI

Developers

Bjoern O. Forsberg


Pranav Shah


Alister Burt


Primary citation

If you find OccuPy useful for any purpose, please refer to it and formally cite the paper:

@article{Forbserg2023,
author = {Forsberg, Bjoern O and Shah, Pranav NM and Burt, Alister},
doi = {https://doi.org/10.1038/s41467-023-41478-1},
journal = {Nature Communications},
title = {A robust normalized local filter to estimate compositional heterogeneity directly from cryo-EM maps},
year = {2023}
}
And do please read the paper in Nature Communications.


Acknowledgements

OccuPy is deployed to PyPi using github and github workflows.

The sigmoid function originates from Prof. Werner Antweiler.

The documentation format is readthedocs, using MkDocs-material, based on a configuration by Talley Lambert.

OccuPy is built purely in python. At it's core, it uses numpy, scipy and matplotlib.

Additional features utilize scikit-image.

I/O is handled by mrcfile, and the command-line interface uses typer.

The GUI was built in PyQt5, using Qt5 designer.