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J Integr Bioinform. 2019 Jun 14;16(3). pii: /j/jib.2019.16.issue-3/jib-2019-0026/jib-2019-0026.xml. doi: 10.1515/jib-2019-0026.

Mental-Map Preserving Visualisation of Partitioned Networks in Vanted.

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Department of Computer and Information Science, University of Konstanz, 78464 Konstanz, Germany.
Digitalization of Research and Development, BASF SE, 67056 Ludwigshafen am Rhein, Germany.
Faculty of Information Technology, Monash University, Clayton, Victoria 3800, Australia.


Biological networks can be large and complex, often consisting of different sub-networks or parts. Separation of networks into parts, network partitioning and layouts of overview and sub-graphs are of importance for understandable visualisations of those networks. This article presents NetPartVis to visualise non-overlapping clusters or partitions of graphs in the Vanted framework based on a method for laying out overview graph and several sub-graphs (partitions) in a coordinated, mental-map preserving way.


Data clustering; Graph drawing; Mental map preservation; Network analysis; Network visualization

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