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Hans-Jörg Schulz

Visual Analysis of Bipartite Biological Networks

Research output: Contribution to book/anthology/report/proceedingArticle in proceedingsResearchpeer-review

In 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.
Original languageEnglish
Title of host publicationProceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008
EditorsCharl P. Botha, Gordon Kindlmann, Wiro Niessen, Bernhard Preim
Number of pages8
Place of publicationDelft, The Netherlands
PublisherEurographics Association
Publication year2008
Pages135-142
ISBN (print)978-3-905674-13-2
DOIs
Publication statusPublished - 2008

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