**RenoDoI** is a visual analytics approach to untangle (lt. renodare) large and dense integrated data-knowledge networks using degree-of-interest (DoI) functions with attribute-based layouts of the resulting subnetworks. The comparison of multiple subnetworks representing different analysis facets is facilitated through an interactive super-network that integrates brushing-and-linking techniques for highlighting components across networks.
Click [http://youtu.be/yeJaSYkA0-Q here] to see RenoDoI in action.
We also prepared a [http://www.vis.uni-stuttgart.de/fileadmin/vis/Mitarbeiterdaten/vehlowca/RenoDoI-1.1.0_manual.pdf manual]
for usage instructions as well as the corresponding ready-to-use [http://www.vis.uni-stuttgart.de/fileadmin/vis/Mitarbeiterdaten/vehlowca/RenoDoi--Example_session.zip Cytoscape session file].