EMICSS: added-value annotations for EMDB entries
EMICSS is implemented in Python and it is an open-source, distributed under the Apache license version 2.0, with core code available on GitHub (https://github.com/emdb-empiar/added_annotations).
Authors
- Kyle L. Morris (ORCID: https://orcid.org/0000-0002-1717-8134)
- Gerard J. Kleywegt (ORCID: https://orcid.org/0000-0002-4670-0331)
- Neli Fonseca (ORCID: https://orcid.org/0000-0001-6466-8083)
- Amudha Kumari Duraisamy (ORCID: https://orcid.org/0000-0002-1282-6438)
- Ardan Patwardhan
Institutions
- European Bioinformatics Institute (GB)
Publication Details
- Journal
- Bioinformatics Advances
- Published
- 2024-12-26
- DOI
- https://doi.org/10.1093/bioadv/vbaf203
- Citations
- 2
- Primary Topic
- Machine Learning in Materials Science
- Type
- article
- Field-Weighted Citation Impact
- 0.23
Funders
- Wellcome Trust
- European Molecular Biology Laboratory
- Goddard Space Flight Center
- University of California, San Francisco