The goal of systems biology is to provide a system-level understanding of biological systems by unveiling their structure, dynamics and control methods. The intrinsic multi-scale nature of these systems, both in space, in organization levels, and in time, makes extremely difficult to model all of them in a uniform way, e.g. by means of differential equations or discrete stochastic processes. Furthermore such models are often not easily amenable to formal analysis and simulation at the organ or even the cell level is frequently impractical. Indeed, an important open problem is finding appropriate computational models that scale well for both the simulation and formal analysis of biological processes. Hybrid modeling techniques, combining discrete and continuous processes, are gaining more and more attention in systems biology, and they have been applied to successfully capture the behavior of several biological complex systems, ranging from genetic networks, biochemical reactions, signaling pathways and cardiac tissues electrophysiology.
This workshop aims at collecting scientists working in the
area of hybrid modeling applied to systems biology, in order to discuss
about current achieved goals, current challenges and future possible
developments.
Topics of interest include, but are not limited to:
- Hybrid models of biological systems (case studies of genetic, cellular networks, models of tissues, etc.)
- Computational and mathematical analysis techniques for hybrid systems (i.e. reachability, model checking, abstract interpretation, bifurcation theory for hybrid dynamical systems, etc.), with applications in Systems Biology.
- Hybrid system identification techniques (learning the model from the experimental data)
- Efficient simulation techniques for hybrid systems.
- Hybrid modeling languages for biological systems.
- Hybrid systems coping with incomplete and uncertain information.
- Sensitivity analysis for hybrid systems.
- Behaviour-driven parameters identification for hybrid systems.
- Analysis and simulation tools.
We solicit the submission of unpublished results that address on both
theoretical and applied aspects of hybrid modeling techniques in
systems biology. Details about publication of proceedings will be made
available soon.
The proceedings will be published in the Electronic Proceedings in Theoretical Computer Science (EPTCS) series.
There will be a following special issue on Information and Computation, based on selected papers of the workshop.
Paper
submission
Full papers should be no more than 15 pages long, typesetted in the EPTCS-style.
Electronic submissions of abstracts and of full-length papers (in PDF format), can be done
through the online submission system.
There will be a special issue on Information and Computation, based on selected papers of the workshop.
Registration
The registration can be done via the CONCUR 2012 web site.
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- | Abstract submission deadline | ||
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- | Full paper submission deadline | ||
| July 30, 2012 | - | Notification of paper acceptance | ||
| August 7, 2012 | - | Camera-ready of accepted papers |
- Radu Grosu, TU Wien, Austria
- Ezio Bartocci, TU Wien, Austria
- Luca Bortolussi, Univerity of Trieste, Italy
- Marco Antoniotti, University of Milano Bicocca
- Gregory Batt, INRIA Paris-Rocquencourt, France
- Alberto Casagrande, University of Trieste, Italy
- Edmund Clarke, Carnegie Mellon, USA
- Thao Dang, VERIMAG Lab, Grenoble, France
- Alexandre Donzé, UC Berkley, USA
- James R. Faeder, University of Pittsburgh, USA
- Jasmin Fisher, Microsoft Research, Cambridge, UK
- Vashti Galpin, University of Edinburgh, UK
- Colas Le Guernic, DGA-MI, France
- Oded Maler, VERIMAG Lab, Grenoble, France
- Emanuela Merelli, University of Camerino, Italy
- Bud Mishra, NYU, USA
- Carla Piazza, University of Udine, Italy
- Alberto Policriti, University of Udine, Italy
- Scott A. Smolka, University of Stony Brook, USA
- Gouhei Tanaka, University of Tokyo, Japan
- Verena Wolf, Saarland University, Germany
- Paolo Zuliani, Carnegie Mellon, USA