Mental-Map Preserving Visualisation of Partitioned Networks in Vanted

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...

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Detalles Bibliográficos
Autores principales: Garkov, Dimitar, Klein, Karsten, Klukas, Christian, Schreiber, Falk
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798853/
https://www.ncbi.nlm.nih.gov/pubmed/31199771
http://dx.doi.org/10.1515/jib-2019-0026
Descripción
Sumario: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.

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