Formal Methods in Systems Biology [electronic resource] :First International Workshop, FMSB 2008, Cambridge, UK, June 4-5, 2008. Proceedings /
Contributor(s): Fisher, Jasmin [editor.] | SpringerLink (Online service).Material type: BookSeries: Lecture Notes in Computer Science: 5054Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.Description: VII, 139 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540684138.Subject(s): Computer science | Software engineering | Computers | Database management | Computer simulation | Bioinformatics | Computational biology | Computer Science | Simulation and Modeling | Computational Biology/Bioinformatics | Computer Appl. in Life Sciences | Software Engineering | Database Management | Computation by Abstract DevicesOnline resources: Click here to access online
Contributed Papers -- Generic Reactive Animation: Realistic Modeling of Complex Natural Systems -- Bounded Asynchrony: Concurrency for Modeling Cell-Cell Interactions -- Computational Probability for Systems Biology -- Design Issues for Qualitative Modelling of Biological Cells with Petri Nets -- Combining Intra- and Inter-cellular Dynamics to Investigate Intestinal Homeostasis -- Approximating Continuous Systems by Timed Automata -- From Reaction Models to Influence Graphs and Back: A Theorem -- Rule-Based Modelling, Symmetries, Refinements -- One Modelling Formalism & Simulator Is Not Enough! A Perspective for Computational Biology Based on James II.
This book constitutes the refereed proceedings of the First International Workshop on Formal Methods in Systems Biology, FMSB 2008, held in Cambridge, UK, in June, 2008. The 9 revised full papers presented were carefully reviewed and selected from the workshop lectures that all were invited contributions. The purpose of this meeting was to identify techniques for the specification, development and verification of biological models. It also focused on the design of tools to execute and analyze biological models that can significantly advance our understanding of biological systems.