Matrix Optimization with Low-rank factorization for Automated analysis of SEC-SAXS
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[!WARNING] The initial version of this package is currently in preparation to be available in July, 2025.
Molass Library is a rewrite of MOLASS, an analytical tool for SEC-SAXS experiment data currently hosted at Photon Factory, Japan.
To install this package, use pip as follows.
pip install -U molass
[!NOTE] The molass package currently depends on molass_legacy. This dependency is planned to be removed.
For details, see also:
- Essence: https://nshimizu0721.github.io/molass-essence for theory,
- Tutorial: https://nshimizu0721.github.io/molass-tutorial for how to use,
- Technical: https://nshimizu0721.github.io/molass-technical for technical details,
- Reference: https://nshimizu0721.github.io/molass-library for function reference,
- Legacy Repository: https://github.com/freesemt/molass-legacy for legacy codes.
To join the community, see also:
- Handbook: https://nshimizu0721.github.io/molass-develop for maintenance.
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