BOCK is a new knowledge graph integrating oligogenic disease information (originally from the Oligogenic Disease Database (Nachtegael 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. We provide BOCK in three formats: RDF (Resource Description Framework): W3C standard for linked data exchange. Triplets are encoded in the Turtle syntax. Additionally, the KG model is provided in OWL. GraphML (Graph Markup Language): a network format enabling the fast import of the KG by multiple libraries (e.g networkx) and tools (e.g Cytoscape). Neo4J import files: tab-separated files that can be easily imported into Neo4J using the neo4j-admin utils.

This work was supported by the European Regional Development Fund (ERDF) and the Brussels-Capital Region-Innoviris within the framework of the Operational Programme 2014-2020 through the ERDF-2020 project ICITY-RDI.BRU [27.002.53.01.4524], an F.N.R.S-F.R.S CDR [35276964], an Innoviris Joint R\&D project Genome4Brussels [2020 RDIR 55b], a Research Foundation-Flanders (F.W.O.) Infrastructure project associated with ELIXIR Belgium [I002819N], the Imagica2 IRP project by the Vrije Universiteit Brussel [IRP8b] and by TAILOR, a project funded by the EU Horizon 2020 research and innovation program [952215]. The authors also thank Foundation 101 Genomes (f101g.org) for fruitful collaboration, creative exchange and scientific support.