We integrated the RIKEN bioresource RDF data with external public RDF data, such as OMA, and disease ontologies, such as DOID and MONDO. Thus, we can discover the resources relevant to diseases by performing a SPARQL query for the integrated RDF graph.
RIKEN BioResource Research Center is one of the largest comprehensive bioresource centers that provide various kinds of bioresources such as experimental animals (e.g., gene-modified mice), cell materials (e.g., iPS cells), and DNA materials (e.g., human cDNA clones). One of its missions is to contribute to developing human health and medical science research through the RIKEN bioresources. We unitarily manage information on the bioresources and provide it. In addition, we develop the bioresource RDF data to promote data sharing and improve interoperability. 2. External data and ontology integration and discovering bioresources relevant to diseases We integrated the bioresource RDF data with OMA RDF data [1], DisGeNET RDF data, and disease ontologies, such as DOID, and MONDO (Figure 1), to be able to simultaneously discover mouse resources, cell materials, and DNA materials relevant to diseases by performing a SPARQL query for the knowledge (https://knowledge.brc.riken.jp/sparql). graph