pyBioDataFuse

Read full text
Authors: Tooba Abbassi‐Daloii, Yojana Gadiya, Javier Millán Acosta, Egon Willighagen, Hailiang Mei, Ana Claudia Sima, Dominik Martinát, Alejandro Adriaque Lozano
Cited by: 0

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