The goal of this project is to design novel visualization approaches to the visual representation and exploration of chromatin, strongly connected to the understanding of the role of SMC5/6 complex in these structures.

Within this project, we are using visual analysis for representing and understanding the interactions between proteins and ligands, with the applications in protein engineering and drug design.

The project aims to develop a distributed system for comprehensive analysis of big heterogeneous data - in particular, digital artifacts acquired during police investigations.

This project aimed to develop computational and visualization methods for detecting tunnels in proteins, based on motion planning approaches. The proposed methods are operating also on flexible ligands and molecular dynamics simulations of proteins.

This project aimed to aid the biochemists with new visualization techniques to enhance the exploration of large ensembles of potential configurations of protein complexes, coming from different computational tools. By several integrated views, mostly very abstracted ones, our proposed COZOID tool supports the drill-down approach to narrowing down the set of biologically relevant configurations that are worth exploring in the 3D view and test in the laboratory.