The function of a biological entity is determined by its interactions with other entities. The interactions app integrates interaction data from a multitude of resources which are considered as suitable and executes a robust unification schema on interaction information as well as maps the interactors to the correct biological entities via a powerful mapping algorithms that lives in the Annotations App. These enables to generate directional heterogeneous interaction networks of any complexity compromising physical, genetic as well as regulatory interactions.

Specific filters can be applied on entities, defined interaction types, and compartments among others. The interaction app provides basic topology analysis as well as a guilt-by-association algorithm to infer entities highly likely to belong to provided seed list of entities or processes. o

Interaction tables
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1 Comment to Interactions

Thomas Hahn  on March 21, 2015, 2:35 a.m.

How can I find out whether XBP1 is an activator or suppressor of Erg6?

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