pyBioDataFuse
Authors/Creators
-
1.
Maastricht University
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2.
Enveda Therapeutics (United States)
-
3.
Fraunhofer Society
- 4. Swiss Institute of Bioinformatics Geneva
- 5. Univerzita Palackého v Olomouci Přírodovědecká fakulta
Description
BioDataFuse is a query-based tool for seamless integration of biomedical databases. It establishes a modular framework for efficient data wrangling, enabling context-specific knowledge graph creation and supporting graph-based analyses. Alongside the Pythonic module, it provides a user-friendly interface that enables users to dynamically create knowledge graphs from their input data.
Supported by the robust Python package pyBiodatafuse, this tool excels at data harmonization, aggregating diverse sources via modular queries. Moreover, BioDataFuse provides plugin capabilities for Cytoscape and Neo4j, allowing local graph hosting. Ongoing refinements enhance the graph's utility through tasks such as link prediction, making BioDataFuse a versatile solution for efficient and effective biological data integration.
Files
pyBiodatafuse.zip
Files
(658.2 MB)
| Name | Size | Download all |
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md5:cb98f9b1a58c53b6b131eae3095070db
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Additional details
Additional titles
- Alternative title (English)
- BioDataFuse
Related works
- Is documented by
- Preprint: 10.37044/osf.io/mhsqp (DOI)
Software
- Repository URL
- https://github.com/BioDataFuse/pyBiodatafuse
- Programming language
- Python
- Development Status
- Active