Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012, Proceedings by David GilbertComputational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK, October 3-5, 2012, Proceedings by David Gilbert

Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK…

byDavid GilbertEditorMonika Heiner

Paperback | September 1, 2012

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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.
Title:Computational Methods in Systems Biology: 10th International Conference, CMSB 2012, London, UK…Format:PaperbackDimensions:396 pages, 23.5 × 15.5 × 0.01 inPublished:September 1, 2012Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642336353

ISBN - 13:9783642336355

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Table of 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.