Contact: sasb2011@easychair.org
A lot of biological models suffer from a high combinatorial complexity.
Many methods have been proposed to break down this combinatorial
complexity.
Some of these methods are informal and are validated experimentally.
By contrast, static analysis-based scalable formal methods increase the level of confidence by providing formal characterization of what is computed. Being automatic, easily reusable, and offering formal soundness criteria, static analyses can help designing models, testing models with respect to experimental data, and predicting the behavior of the system being modeled.
The goal of this workshop is to promote discussions and collaborations between biologists (modelers), computer scientists (in static analysis) and applied-mathematicians around the design and the use of static analysis methods for biological models.
The second SASB will be co-located with SAS 2011 in Venice, Italy.
Please visit the submission website.
The program of SASB 2011 will consist mainly of presentations of refereed papers. Contributions are welcomed on all aspects about the use of static analysis methods in Systems Biology, including, but not limited to:
All submitted papers will be peer-reviewed by the program committee.
Submitted papers should not exceed 12 pages including bibliography, and follow the ENTCS guidelines. Submitted papers may include, in addition, an appendix containing technical details, which reviewers may read or not, at their discretion.
Papers must be written and presented in English, and describe original work that does not substantially overlap with papers that have been published or that are simultaneously submitted to a journal, conference, or workshop with refereed proceedings.
Submission Deadline (full papers) | 26th June 2011 |
Notification (tentative) | 2nd August 2011 |
Final version (tentative) | 1st September 2011 |
Workshop Date | 13th September 2011 |
Boris Kholodenko | Systems Biology Ireland, University College Dublin, Betfield, Dublin, Ireland | |
Edda Klipp | Humboldt-Universität, Berlin, Germany | |
Jean Krivine | Université Paris VII & CNRS, France |
Jérôme Feret | École Normale Supérieure & INRIA, France |
Andre Levchenko | Institute for Computational Medicine, Johns Hopkins University, USA |
Marc Alber | University of Notre Dame, USA |
Isha Antani | Genzyme, Boston, USA |
Luca Cardelli | Microsoft Research, Cambridge, England |
François Fages | INRIA, France |
Walter Fontana | Harvard Medical School, USA |
Thomas Henzinger | Institute of Science and Technology, Austria |
William Hlavacek | Los Alamos National Laboratory, USA |
Neil D. Jones | University of Copenhagen, Denmark |
Edda Klipp | Humboldt-Universität, Berlin, Germany |
Heinz Koeppl | ETH Zurich, Switzerland |
Gethin Norman | University of Glasgow, Scottland |
Ovidiu Radulescu | University of Montpellier 2, France |
Denis Thieffry | École Normale Supérieure, France |
Glynn Winskel | University of Cambridge, England |
Gilberto Filé | University of Padova, Italy |
Radhia Cousot | École Normale Supérieure & CNRS, France |
Jérôme Feret | École Normale Supérieure & INRIA, France |
Walter Fontana | Harvard Medical School, USA |
Andre Levchenko | Institute for Computational Medicine, Johns Hopkins University, USA |