An evaluation of space-filling information visualizations for depicting hierarchical structures
International Journal of Human-Computer Studies - Empirical evaluation of information visualizations
Exploring Large Graphs in 3D Hyperbolic Space
IEEE Computer Graphics and Applications
InterRing: a visual interface for navigating and manipulating hierarchies
Information Visualization
Hierarchical Edge Bundles: Visualization of Adjacency Relations in Hierarchical Data
IEEE Transactions on Visualization and Computer Graphics
Ontology visualization methods—a survey
ACM Computing Surveys (CSUR)
OBO-Edit—an ontology editor for biologists
Bioinformatics
Process and Pitfalls in Writing Information Visualization Research Papers
Information Visualization
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
Bioinformatics
MetNetGE: Visualizing biological networks in hierarchical views and 3D tiered layouts
BIBMW '09 Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop
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Currently, visualization tools for large ontologies (e.g., pathway and gene ontologies) result in a very flat wide tree that is difficult to fit on a single display. This paper develops the concept of using an enhanced radial spacefilling (ERSF) layout to show biological ontologies efficiently. The ERSF technique represents ontology terms as circular regions in 3D. Orbital connections in a third dimension correspond to non-tree edges in the ontology that exist when an ontology term belongs to multiple categories. Biologists can use the ERSF layout to identify highly activated pathway or gene ontology categories by mapping experimental statistics such as coefficient of variation and overrepresentation values onto the visualization. This paper illustrates the use of the ERSF layout to explore pathway and gene ontologies using a gene expression dataset from E. coli.