TY  - CONF
TI  - Visual Analysis of Bipartite Biological Networks
AU  - Schulz, Hans-Jörg
AU  - John, Mathias
AU  - Unger, Andrea
AU  - Schumann, Heidrun
A2  - Botha, Charl P.
A2  - Kindlmann, Gordon
A2  - Niessen, Wiro
A2  - Preim, Bernhard
AB  - 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.
C1  - Delft, Netherlands
C3  - Proceedings of the Eurographics Workshop on Visual Computing for Biomedicine VCBM 2008
DA  - 2008///
PY  - 2008
DO  - 10.2312/VCBM/VCBM08/135-142
SP  - 135
EP  - 142
PB  - Eurographics Association
SN  - 978-3-905674-13-2
ER  -