Overview
- Editors:
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Ina Koch
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Institute for Computer Science, J.W. Goethe University Frankfurt, Frankfurt am Main, Germany
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Wolfgang Reisig
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Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany
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Falk Schreiber
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Institute of Computer Science, Martin Luther Univ. Halle-Wittenberg, Halle, Germany
- Presents a comprehensive overview of cutting-edge research in applications of Petri nets in systems biology
- Enables readers to apply and develop their own biochemical models using Petri net techniques
- Contains a glossary of the concepts and notation used in the book, in addition to exercises at the end of each chapter
- Includes supplementary material: sn.pub/extras
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Table of contents (14 chapters)
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Front Matter
Pages I-XXIII
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Foundations
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- Tiina Liiving, Syed M. Baker, Björn H. Junker
Pages 19-36
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Modeling Techniques
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- Richard Banks, Victor Khomenko, L. Jason Steggles
Pages 73-100
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- Ayumu Saito, Masao Nagasaki, Hiroshi Matsuno, Satoru Miyano
Pages 101-120
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- Lukas Windhager, Florian Erhard, Ralf Zimmer
Pages 179-205
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Biochemical Applications
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Front Matter
Pages 207-207
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- Stefan Schuster, Björn H. Junker
Pages 209-224
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- Simon Hardy, Ravi Iyengar
Pages 225-251
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- Claudine Chaouiya, Hanna Klaudel, Franck Pommereau
Pages 253-279
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- Natsumi Mitou, Hiroshi Matsuno, Satoru Miyano, Shin-Ichi T. Inouye
Pages 281-306
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Back Matter
Pages 337-364
About this book
The emerging, multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system, and computer modeling plays a vital role in the drive to understand the processes of life from an holistic viewpoint. Advancements in experimental technologies in biology and medicine have generated an enormous amount of biological data on the dependencies and interactions of many different molecular cell processes, fueling the development of numerous computational methods for exploring this data. The mathematical formalism of Petri net theory is able to encompass many of these techniques.
This essential text/reference presents a comprehensive overview of cutting-edge research in applications of Petri nets in systems biology, with contributions from an international selection of experts. Those unfamiliar with the field are also provided with a general introduction to systems biology, the foundations of biochemistry, and the basics of Petri net theory. Further chapters address Petri net modeling techniques for building and analyzing biological models, as well as network prediction approaches, before reviewing the applications to networks of different biological classification.
Topics and features: investigates the modular, qualitative modeling of regulatory networks using Petri nets, and examines an Hybrid Functional Petri net simulation case study; contains a glossary of the concepts and notation used in the book, in addition to exercises at the end of each chapter; covers the topological analysis of metabolic and regulatory networks, the analysis of models of signaling networks, and the prediction of network structure; provides a biological case study on the conversion of logical networks into Petri nets; discusses discrete modeling, stochastic modeling, fuzzy modeling, dynamic pathway modeling, genetic regulatory network modeling, and quantitative analysis techniques; includes a Foreword by Professor Jens Reich, Professor of Bioinformatics at Humboldt University and Max Delbrück Center for Molecular Medicine in Berlin.
This unique guide to the modeling of biochemical systems using Petri net concepts will be of real utility to researchers and students of computational biology, systems biology, bioinformatics, computer science, and biochemistry.
Reviews
From the reviews:
“This volume brings together a variety of contributions showcasing the application of modeling biological and biochemical processes using Petri nets. … it can be used as a teaching aid, and have included exercises at the end of each chapter. … the volume is best seen as a roadmap to a variety of interesting uses of a modeling technique that is particularly geared to readers who already have some experience with mathematical modeling in biology.” (Sara Kalvala, ACM Computing Reviews, August, 2011)
Editors and Affiliations
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Institute for Computer Science, J.W. Goethe University Frankfurt, Frankfurt am Main, Germany
Ina Koch
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Department of Computer Science, Humboldt-Universität zu Berlin, Berlin, Germany
Wolfgang Reisig
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Institute of Computer Science, Martin Luther Univ. Halle-Wittenberg, Halle, Germany
Falk Schreiber