Biological Data Visualization

headed by Prof. Dr. Jos B.T.M. Roerdink

The rapidly expanding application of experimental high-throughput and high-resolution methods in biology is creating enormous challenges for the visualization of biological data. To address these challenges, researchers in the visualization and bioinformatics communities need to engage in the design, implementation, application, and evaluation of novel visualization techniques and tools that provide insight into large and highly complex data sets.

In the biomedical domain, methodologies such as multichannel EEG and diffusion tensor imaging (DTI) are used to extract functional brain networks and pathways.

In bioinformatics, DNA microarray measurements allow us to visualize regulatory gene networks. We employ insights from perception science to improve current visualization techniques.

For details on these and other projects please look at the links on the menu bar on the left.