Projecten per jaar
Abstract
BOCK is a new knowledge graph integrating oligogenic disease information (originally from the Oligogenic Disease Database (Natchtegael et al. 2022)) together with multiple biological networks and ontologies.
Compared to more generic knowledge graphs, we selected specifically networks relevant to understand the molecular mechanisms of epistasis, placing genes as the central entities, and focused on trusted resources describing a large set of human genes and their interactions.
All entities in the KG are linked to their source database entry via an URI (Uniform Resource Identifier) to facilitate integrations within larger bioinformatics linked data repositories.
Compared to more generic knowledge graphs, we selected specifically networks relevant to understand the molecular mechanisms of epistasis, placing genes as the central entities, and focused on trusted resources describing a large set of human genes and their interactions.
All entities in the KG are linked to their source database entry via an URI (Uniform Resource Identifier) to facilitate integrations within larger bioinformatics linked data repositories.
Datum van beschikbaarheid | 14 dec 2022 |
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Uitgever | Zenodo |
Datum van data-aanmaak | 14 dec 2022 |
Format
- Format
Projecten
- 1 Afgelopen
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EUFEDER1: ICITY-RDI.BRU (objectif 2020 - investissement pour la croissance et l'emploi)
Innovatie en Valorisatie, V., Vicerector, V. O., Haesen, S., Vranken, W., Touhafi, A., Macharis, C., Hadavi, S., Nowe, A., De Troyer, O., Verbeke, W. & Signer, B.
1/01/14 → 31/12/23
Project: Fundamenteel
Onderzoekersoutput
- 1 Article
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A knowledge graph approach to predict and interpret disease-causing gene interactions
Renaux, A., Terwagne, C., Cochez, M., Tiddi, I., Nowé, A. & Lenaerts, T., dec 2023, In: BMC Bioinformatics. 24, 1, 25 blz., 324.Onderzoeksoutput: Article › peer review
Open AccessBestand6 Citaten (Scopus)47 Downloads (Pure)