At the Trento Centre researchers are focusing

Posted by Ellie on Apr 12, 2008 in Computational Biology | 0 comments

We put lot of emphasis on constructing userfriendly tools visual, flexible, in order to facilitate the integration of such computational tools as mainstream techniques in biological research. Research Groups Jasmin Fisher Executable Biology We are developing programming languages and tools for simulating and analysing complex models of biological systems.

At the Trento Centre, researchers are focusing on creating the next generation of computational tools that will enable biologists and others working in the life sciences to better understand and predict complex processes in biological systems, which could revolutionise our understanding of disease, and lead to new and faster insights into entirely novel therapies and better vaccines. These kinds of models hold great promise for new discoveries in wide variety of biological systems.

The Centre is also establishing close cooperation with experimental scientists at both the domestic and international level to maintain close relationship with real biological data. At the Trento Centre, researchers are focusing on creating the next generation of computational tools that will enable us to gain systemlevel understanding of biological processes. These kinds of models hold great promise for new discoveries in wide variety of biological systems can be programmed from simple components in modular fashion. In addition, preliminary studies can be quickly performed using executable models, saving valuable laboratory time and resources for only the promising avenues.

Hillel Kugler Systems Biology Our research focuses on developing theory, languages and tools for simulating and analysing complex models of biological systems can be programmed from simple components in modular fashion. Opened in by Rick Rashid, the Centre is partnership between the University of Trento, and is partly sponsored by the Italian central and local governments. Our goals include making these tools accessible to biologists, improving upon the existing algorithms andtechniques to handle large and complex systems and investigating the use of the new tools createdspecifically for biological systems and additional application domains.

Research Groups Jasmin Fisher Executable Biology We are interested in the design and analysis of executable computer algorithms that mimic biological phenomena. Our goals include making these tools accessible to biologists, improving upon the existing algorithms andtechniques to handle large and complex systems and investigating the use of different formalisms to create executable models of biological systems can be programmed from simple components in modular fashion. The goal of the Computational Biology Division is to enhance biological comprehension by using methods and tools designed in Computer Science to model and analyze biological systems.
Tags: algorithms, biological research, Computational Biology, Computer Science, discoveries, evolution, Systems Biology