Editors:
- Contains eight detailed full-length papers focusing on computational models for cell processes
- Presents up-to-date results
- Emphasis is placed on biological processes requiring special tools and techniques
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 6575)
Part of the book sub series: Transactions on Computational Systems Biology (TCSB)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
Keywords
- brane calculus
- computational modeling
- continuous time Markov chains
- differential equations
- gene expression
- genetic regulation
- metabolic control
- metabolic pathways
- ordinary differential equations
- parameterised modules
- process algebra
- qualitative constraints
- qualitative networks
- stochastic programming
- univalence property
- algorithm analysis and problem complexity
Reviews
From the reviews:
“This collection of papers offers a great synopsis of the actual trends in systems biology. In this book, researchers, students, and computational biologists will find examples of various modern time- and space-dependent prediction and simulation methods and models. … The wealth of methods and approaches presented in this collection is clear evidence that great progress has been made in modeling many particular aspects of systems biology.” (Adrian Pasculescu, ACM Computing Reviews, April, 2012)
Editors and Affiliations
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Centre for Computational and Systems Biology, The Microsoft Research - University of Trento, Povo (TN), Italy
Corrado Priami
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Department of Information Technologies, Åbo Akademi University, Turku, Finland
Ralph-Johan Back, Ion Petre
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Technische Universiteit Eindhoven, Eindhoven, The Netherlands
Erik Vink
Bibliographic Information
Book Title: Transactions on Computational Systems Biology XIII
Editors: Corrado Priami, Ralph-Johan Back, Ion Petre, Erik Vink
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-642-19748-2
Publisher: Springer Berlin, Heidelberg
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Berlin Heidelberg 2011
Softcover ISBN: 978-3-642-19747-5Published: 28 March 2011
eBook ISBN: 978-3-642-19748-2Published: 05 May 2011
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: VII, 193
Topics: Computational Biology/Bioinformatics, Simulation and Modeling, Computation by Abstract Devices, Artificial Intelligence, Algorithm Analysis and Problem Complexity, Probability and Statistics in Computer Science