Our research is currently focused on:
Our aim is to conduct research to make generic and domain-specific software components and tools better in laying out, editing and viewing relational information. Nowadays, effective analysis of complex information heavily relies on solid visualization technologies in numerous areas from life sciences to software engineering to networking.
- Cellular pathway visualization and layout,
- Complexity management techniques in graph visualization,
- Compound and clustered graph drawing and layout, and
- Efficient querying of graph and pathway databases.
Among the software tools for which our lab provides visualization
cBio Cancer Genomics Portal,
and the bioinformatics tools developed under the project
We collaborate with the following institutions in our research and development activities:
Here is a demo that illustrates some of the layout algorithms developed by our lab.