Dug is a flexible, scalable, semantic search tool for biomedical datasets that leverages emerging knowledge graph-based methods to intelligently suggest relevant connections derived from peer-reviewed research. Developed through the National Heart, Lung, and Blood Institute’s (NHLBI) BioData Catalyst® (BDC) platform and the National Institutes of Health’s (NIH) HEAL Initiative, Dug can efficiently ingest, index, and search over nearly any type of study metadata and utilizes evidence-based relationships from curated knowledge graphs to explain why certain results are being returned. The Dug search engine is publicly available as an open source package to provide the biomedical community with a powerful, flexible tool for searching intuitively across an increasingly sprawling public data landscape.
