Monterey California, Dec. 3-6, 2006

Please note: this page is under construction.

The emerging fields of computational biology and systems biology integrate concepts and ideas from biological sciences, engineering disciplines, mathematics, statistics, and computer science. The objective is to understand how gene regulation, molecular interactions, and cellular networks inter-operate, thus scaling up from molecular biology to systems biology. In this context modeling and simulation methods and tools play a central role and shall be the focus of this track.

Being part of the Winter Simulation Conference 2006, the purpose of the track is to give an overview about modelling and simulation methods being developed for and being applied in this area. Presentations about yet unsolved problems and steps towards their solutions are highly encouraged. The track is dedicated to intensifying a dialog among people doing research in this new striving area and the general modeling and simulation community. The track shall help stimulating the exchange of ideas and thus propelling research towards a better understanding of living systems through modeling and simulation.

Topics of interest include but are not limited to the areas listed below:

• Modelling Formalisms: development and application of modeling formalisms, e.g. Petri Nets, State Charts, Stochastic Pi, Hybrid Automata, Hybrid Petri Nets in Computational Biology
• Reuse of models: development and experiences with exchange formats, and exploiting state of the art data base techniques in Computational Biology
• Model complexity: reduction, aggregation, composition, and multi-level and multi-formalism modeling of inter and intra cellular systems
• Spatial information: acquisition, representation, and evaluation of spatial information within cells
• Visualization: its role in modelling and analysing wet-lab and dry-lab data
• Developing models: from qualitative to quantitative models, e.g. model identification, parameter estimation
• Stochastic, discrete event simulations: improving efficiency for Computational Biology
• Verification, and analysis: formal approaches towards describing and analyzing cell biological systems
• Parallel, distributed approaches: e.g. for parameter estimation and simulation in Computational Biology
• Modeling and simulation tools: for Computational Biology

Also the submission of papers on modeling and simulation studies in cell biology are encouraged. Thereby, the role of the applied modeling and simulation techniques should be emphasized.

Special Sessions are organized on:

• Network visualization, standards, and software by Herbert Sauro
• Complexity Reduction by Irina Surovtsova
• Verification and Simulation by Adelinde Uhrmacher
• Exploiting Data Exchange and Data Base Technology for Computational Biology by Lena Stromback

Track Keynote Talks by David Harel and Herbert Sauro.

Preliminary Program you find here

Call for Posters Deadline: October 6, 2006, more information you find here

If you have further questions please contact Adelinde Uhrmacher, University of Rostock