Today’s enormous corpus of biomedical knowledge presents amazing opportunities to improve human health. However, the knowledge’s fragmentation across the literature and numerous databases poses serious challenges to those opportunities. The Ingenuity Biomedical Knowledgebase (KB) addresses those challenges, providing a framework to model biomedical knowledge in a unified system – implemented as a frame-based ontology. That structure facilitates powerful inference and quality-control features.
Using the Ingenuity KB, Ingenuity Systems (now a part of QIAGEN) provides software solutions to interpret biological datasets. By aligning those datasets (e.g., raw research observations or clinical genomic-testing data) to the KB, it can be viewed, analyzed, and interpreted in the context of relevant biological and biomedical knowledge. I’ll discuss the Ingenuity ontology structure, building process, maintenance regime, and several use-cases.