Our research is maily focused on:
Our aim is to conduct research to make generic and domain-specific software components and tools better in storing, quering, laying out, editing, managing complexity of, and viewing relational information in big data. Nowadays, effective analysis of complex information heavily relies on solid visualization technologies in numerous areas from life sciences to software engineering to social networks.
- 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.
Some demos and tutorials on our methods and tools can be found here in YouTube.