Euretos Relation Map

The Relation Map is very effective for analyzing interactions and networks. Over 100 relation types (e.g. inhibits) and their measures (e.g. IC50 = 1.2) connect over 8 million biological terms. Many of the relations are of a molecular nature such as protein-protein interaction or tissue and cell-type expression. Also, human annotations are included which for instance link genes to pathways, phenotypes and diseases. Publication title, abstract and sentence co-mentions can also be displayed enabling different types of evidence to be evaluated separately.

The Relation Map enables a unique analysis of a term within a specific context. When you add terms to the Relation Map you will immediately see the types relations they have with other terms already there. Fine-grained filtering options enable a detailed analysis of different types of associations. With one click you can review specific types of molecular interactions, clinical evidence, database annotations and co-mentions in literature.

When you drop a set of terms in a Relation Map you can immediately see how they are connected. Clusters in your data are identified immediately and can be saved as sub-sets for export or further analysis in Analytics.