pyBioDataFuse
Abstract
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.
Fields of Study & Subjects
Bioinformatics and Genomic Networks
Biomedical Text Mining and Ontologies
Semantic Web and Ontologies
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 3 February 2026