Euretos Relation Map

 

 

Analyze biomolecular interactions

The Euretos Relation Map visualizes biomolecular associations ranging from molecular interactions and database annotations to literature and sentence co-mentions. This enables a unique visual analysis that helps to identify key terms, indirect associations and concept clusters. This way you can test complex hypotheses, create molecular disease models and share insights as powerful visualizations.

One transparent view across databases and literature
Analyze biomolecular interactions and networks
Discover novel associations from indirect interactions
Quickly identify and analyze clusters in your data
Euretos
Relation Map

Analyze biomolecular interactions and networks

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.
Euretos
Relation Map

One transparent view across databases and literature

The Relation Map combines associations from literature, such as co-mentions in publication titles, abstracts and sentences with relations from databases, such as molecular interactions, expression values and human annotations. For any relation in the Relation Map, all evidence is available at a single click. All sources are shown including relevant measures (e.g. IC50 value for an 'inhibits' relation). All literature that mentions the concepts in the relation are also show, giving a complete overview of all available evidence.
Enabling world leading pharma, biotech and academic institutions
Genmab
Janssen and Janssen Pharmaceutical Companies
Leiden Academic Centre for Drug Research
Astra Zeneca
Boehringer Ingelheim
Tufts University
Euretos
Relation Map

View the biomolecular context at a glance

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.
Euretos
Relation Map

Discover novel associations from indirect interactions

When you select two terms, related or not, you can find intermediate terms that are related to both. These intermediate associations are nearly impossible to find without the networked visualisation of the Relation Map. Terms which have no direct association can unexpectedly have many relevant shared connections that provide novel insights.
Euretos
Relation Map

Quickly identify related clusters in your data

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.
Enabling world leading pharma, biotech and academic institutions
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