A simple and visual query interface allows you to frame a complex multilevel query within seconds. Asking the right questions is a cinch.

• Semantically powered auto suggest allows you to explore relationships as you build a query
• E.g. Type in aspirin. DistilBio recognizes that aspirin is a drug, suggests associated relationships like associated diseases and targets
• Visual query builder gives you the flexibility to build a branched query allowing exploration in several directions
• Powerful synonym indexing allows users to search using a nomenclature of choice
• Save and edit queries

By making data stores interoperable DistilBio allows the user to query across data stores to discover novel relationships and build new hypotheses.

• Intelligent indexing of synonyms and varying taxonomies. Standard nomenclatures as well as those used in the underlying sources are all captured.
• Domain centric “hand crafted” ontology that captures relationships within the domain
• A mapping engine that maps existing data stores to our ontology
• Semantic overlay of existing relationships allows the user to be able to connect seemingly unrelated pieces of data.
• With the use of a powerful inferencing engine, implied relationships also surface leading to potential for new hypotheses
• Easily Integrates private data and allows it to be viewed in the context of publicly availabe data
• Hops across data sets to process complex queries

A single result interface packed with powerful features lets you quickly hone into what is most relevant to you.

• Faceted browser allows exploration of data relationships
• Versatile filtering capabilities
• Customizable view
• Contextual profile for each entity
• Each piece of information is tagged with source
• Discover novel relationships between seemingly unconnected entities
• Build new hypotheses
• Multiple export formats (coming soon)