Formal Methods for Computational Systems Biology: 8th International School on Formal Methods for the Design of Computer, Communication, and Software Systems, SFM 2008 Bertinoro, Italy, June 2-7, 2008

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Marco Bernardo, Pierpaolo Degano, Gianluigi Zavattaro
Springer Science & Business Media, 20.05.2008 - 527 Seiten
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This volume presents the set of papers accompanying the lectures of the eighth International School on Formal Methods for the Design of Computer, Com- nication, and Software Systems (SFM). Thisseriesofschoolsaddressestheuseofformalmethodsincomputerscience asaprominentapproachtotherigorousdesignofcomputer, communication, and software systems. The main aim of the SFM series is to o?er a good spectrum of current research in foundations as well as applications of formal methods, which can be of help for graduate students and young researchers who intend to approach the ?eld. SFM 2008 was devoted to formal techniques for computational systems - ology and covered several aspects of the ?eld, including computational models, calculi and logics for biological systems, and veri?cation and simulation me- ods. Theschoolfeatured not onlyregularlectures, but also talksgivenby people involvedinthe ItalianresearchprojectonBio-InspiredSystems andCalculiwith Applications (BISCA). The ?rst partof this volume comprises nine papers basedon regularlectures. The paper by Degasperi and Gilmore describes the application of sensitivity analysistechniques to stochastic simulation algorithms. Talcott's paper presents pathway logic, an approach to modeling and analysis of biological processes based on rewriting logic. Fages and Soliman study reaction graphs and acti- tion/inhibition graphs used by biologists through formal methods originating from programming theory. The paper by Maus, John, R] ohl, and Uhrmacher d- cusses categories, abstraction hierarchies, and composition hierarchies playing a role in modeling and simulation for computational biology. Gillespie's paper - views the theory of stochastic chemical kinetics and several simulation methods that are based on that theory.
 

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Inhalt

Sensitivity Analysis of Stochastic Models of Bistable Biochemical Reactions
1
Pathway Logic
21
Formal Cell Biology in Biocham
54
Hierarchical Modeling for Computational Biology
81
Simulation Methods in Systems Biology
125
Membrane Computing as a Modeling Framework Cellular Systems Case Studies
168
Petri Nets for Systems and Synthetic Biology
215
Process Algebras in Systems Biology
265
A Tutorial
313
A Holistic Approach
366
The Calculus of Looping Sequences
387
Hybrid Systems and Biology Continuous and Discrete Modeling for Systems Biology
424
A πBased Process Calculus for the Implementation of Compartmentalised Bioinspired Calculi
449
A Gentle Introduction to Stochastic PolyAutomata Collectives and the BioChemical Ground Form
507
Author Index
524
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