Visual Analysis of Bipartite Biological Networks

dc.contributor.authorSchulz, Hans-Jörgen_US
dc.contributor.authorJohn, Mathiasen_US
dc.contributor.authorUnger, Andreaen_US
dc.contributor.authorSchumann, Heidrunen_US
dc.contributor.editorCharl Botha and Gordon Kindlmann and Wiro Niessen and Bernhard Preimen_US
dc.date.accessioned2014-01-29T17:02:13Z
dc.date.available2014-01-29T17:02:13Z
dc.date.issued2008en_US
dc.description.abstractIn life sciences, the importance of complex network visualization is ever increasing. Yet, existing approaches for the visualization of networks are general purpose techniques that are often not suited to support the specific needs of researchers in the life sciences, or to handle the large network sizes and specific network characteristics that are prevalent in the field. Examples for such networks are biomedical ontologies and biochemical reaction networks, which are bipartite networks a particular graph class which is rarely addressed in visualization. Our table-based approach allows to visualize large bipartite networks alongside with a multitude of attributes and hyperlinks to biological databases. To explore complex network motifs and perform intricate selections within the visualized network data, we introduce a new script-based brushing mechanism that integrates naturally with the interlinked, tabular representation. A prototype for exploring bipartite graphs, which uses the proposed visualization and interaction techniques, is also presented and used on real data sets from the application domain.en_US
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biomedicineen_US
dc.identifier.isbn978-3-905674-13-2en_US
dc.identifier.issn2070-5786en_US
dc.identifier.urihttps://doi.org/10.2312/VCBM/VCBM08/135-142en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): I.3.8 [Computing Methodologies]: Computer GraphicsApplications; H.5.2 [Information Systems]: Information Interfaces and PresentationUser Interfacesen_US
dc.titleVisual Analysis of Bipartite Biological Networksen_US
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