Built over 2 decades, the QIAGEN Knowledge Base leverages machine learning to rapidly index journal articles for mutations and human judgment and expertise (Augmented Molecular Intelligence) to ensure accuracy, relevance and context—every catalogued “finding” has been “touched” by a trained scientist.

The QIAGEN Knowledge Base is built on our own comprehensive ontology that uniformly models relationships between different entities, such as the relationship between a variant, the gene that it resides in, and the observed phenotype. The superior structured content ensures consistency and computability.