Categories: annotation, data visualization, Euler diagram, heat map visualization, integrated analysis, Interactive Layout, network analysis, network comparison, set visualization

**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].

Authors:

• Corinna Vehlow (VISUS, University of Stuttgart, Germany)
• David P. Kao (School of Medicine, University of Colorado, USA)
• Michael R. Bristow (School of Medicine, University of Colorado, USA)
• Lawrence Hunter (School of Medicine, University of Colorado, USA)
• Daniel Weiskopf (VISUS, University of Stuttgart, Germany)
• Carsten Görg (School of Medicine, University of Colorado, USA)