What is DISGENET?

Modified on Mon, 1 Jun at 4:08 PM

DISGENET is a disease genomics intelligence platform that transforms fragmented biomedical evidence into structured, evidence-ranked, and provenance-aware knowledge.

It brings together information on genes, variants, diseases, phenotypes, drugs, chemicals, and therapeutic evidence into a unified semantic framework. This helps researchers and R&D teams move from scattered biomedical data to more reliable, traceable, and defensible decisions.

DISGENET supports applications across drug discovery, translational genomics, clinical genomics, precision medicine, computational biology, and AI-driven biomedical research. It can be used for target identification and prioritization, biomarker discovery, variant interpretation, disease mechanism exploration, drug repurposing, safety profiling, and knowledge graph development.

Each association in DISGENET is enriched with metadata such as evidence strength, source provenance, disease context, biological annotations, and relevance to clinical or therapeutic research. This allows users to understand not only whether a relationship exists, but also how strong, traceable, and biologically meaningful it is. 
See use cases here.


Get Started With DISGENET


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