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Computational Methods in Systems Biology : 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012, Proceedings / edited by David Gilbert, Monika Heiner.

Publication:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Format/Description:
Book
1 online resource (XII, 396 pages) : 145 illustrations
Edition:
1st ed. 2012.
Series:
Computer Science (Springer-11645)
Lecture notes in computer science. Lecture notes in bioinformatics 7605
Lecture Notes in Bioinformatics ; 7605
Contained In:
Springer eBooks
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Subjects:
Bioinformatics.
Computers.
Computer simulation.
Bioinformatics .
Computational biology.
Software engineering.
Computer science-Mathematics.
Local subjects:
Computational Biology/Bioinformatics. (search)
Computation by Abstract Devices. (search)
Simulation and Modeling. (search)
Computer Appl. in Life Sciences. (search)
Software Engineering. (search)
Symbolic and Algebraic Manipulation. (search)
System Details:
text file PDF
Summary:
This book constitutes the thoroughly refereed conference proceedings of the 10th International Conference on Computational Methods in Systems Biology, CMSB 2012, held in London, UK, during October 3-5, 2012. The 17 revised full papers and 8 flash posters presented together with the summaries of 3 invited papers were carefully reviewed and selected from 62 submissions. The papers cover the analysis of biological systems, networks, and data ranging from intercellular to multiscale. Topics included high-performance computing, and for the first time papers on synthetic biology.
Contents:
Differential and Integral Views of Gene-Phenotype Relations
Resolving the Three-Dimensional Histology of the Heart
Bimodal Protein Distributions in Heterogeneous Oscillating Systems
Expressive Statistical Model Checking of Genetic Networks with Delayed Stochastic Dynamics
Detection of Multi-clustered Genes and Community Structure for the Plant Pathogenic Fungus
Analysis of Modular Organization of Interaction Networks Based on Asymptotic Dynamics
Concretizing the Process Hitting into Biological Regulatory Networks
Investigating Co-infection Dynamics through Evolution of Bio-PEPA Model Parameters: A Combined Process Algebra and Evolutionary Computing Approach
Population Dynamics P Systems on CUDA
Efficient Handling of Large Signaling-Regulatory Networks by Focusing on Their Core Control
Simulating Insulin Infusion Pump Risks by In-Silico Modeling of the Insulin-Glucose Regulatory System
Revisiting the Training of Logic Models of Protein Signaling Networks with a Formal Approach Based on Answer Set Programming.
Contributor:
Gilbert, David, editor., Editor,
Heiner, Monika. editor., Editor,
SpringerLink (Online service)
Other format:
Printed edition:
Printed edition:
ISBN:
978-3-642-33636-2
9783642336362
Publisher Number:
10.1007/978-3-642-33636-2 doi
Access Restriction:
Restricted for use by site license.