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Analysis of biological systems / Corrado Priami, Melissa J. Morine (The Microsoft Research – University of Trento Centre for Computational and Systems Biology, Italy and University of Trento, Italy)

By: Contributor(s): Resource type: Ressourcentyp: Buch (Online)Book (Online)Language: English Publisher: London ; Singapore : Imperial College Press, [2015]Distributor: Singapore : World Scientific Publishing Co. Pte. Ltd.Copyright date: © 2015Description: 1 Online-Ressource (XV, 414 Seiten) : IllustrationenISBN:
  • 9781783266890
  • 9781783266883
  • 9781783266876
Subject(s): Additional physical formats: 9781783266876. | Erscheint auch als: Analysis of biological systems. Druck-Ausgabe London : Imperial College Press, 2015. XV, 414 S. | Available in another form: 9781783266876 DDC classification:
  • 571.7
RVK: RVK: WD 9200LOC classification:
  • QH323.5
Online resources: Additional physical formats: Electronic reproduction; System requirements: Adobe Acrobat ReaderSummary: Modeling is fast becoming fundamental to understanding the processes that define biological systems. High-throughput technologies are producing increasing quantities of data that require an ever-expanding toolset for their effective analysis and interpretation. Analysis of high-throughput data in the context of a molecular interaction network is particularly informative as it has the potential to reveal the most relevant network modules with respect to a phenotype or biological process of interest. These modules denote the borders of the interacting molecular components that contribute to a specific biological process, and thus constitute a natural starting point for building dynamic models. Analysis of Biological Systems collects classical material on analysis, modeling and simulation, thereby acting as a unique point of reference. The joint application of statistical techniques to extract knowledge from big data and map it into mechanistic models is a current challenge of the field, and the reader will learn how to build and use models even if they have no computing or math background. An in-depth analysis of the currently available technologies, and a comparison between them, is also included. Unlike other reference books, this in-depth analysis is extended even to the field of language-based modelling. The overall result is an indispensable, self-contained and systematic approach to a rapidly expanding field of scienceSummary: 1. Algorithmic systems biology. 1.1. Converging sciences. 1.2. The approach. 1.3. Structure of the book. 1.4. Summary. 1.5. Further reading -- 2. Setting the context. 2.1. The structure of the cell. 2.2. DNA, RNA and genes. 2.3. Proteins. 2.4. Metabolites. 2.5. Cellular processes. 2.6. Experimental methods. 2.7. Summary. 2.8. Further reading -- 3. Systems and models. 3.1. Systems. 3.2. Model. 3.3. Summary. 3.4. Further reading -- 4. Static modeling technologies. 4.1. Preliminary assessment. 4.2. Linear regression. 4.3. Dimensionality reduction methods. 4.4. Clustering. 4.5. Gene set analysis. 4.6. Analysis of biological networks. 4.7. Summary. 4.8. Further reading -- 5. Dynamic modeling technologies. 5.1. Equation-based approaches. 5.2. Rewriting systems. 5.3. Network-based approaches. 5.4. Automata-based approaches. 5.5. Relationship between continuous and stochastic models. 5.6. Diagrammatic modeling. 5.7. Summary. 5.8. Further reading -- 6. Language-based modeling. 6.1. Process calculi. 6.2. Third generation: from calculi to modeling languages. 6.3. Self-assembly. 6.4. An evolutionary framework. 6.6. Summary. 6.7. Further reading -- 7. Dynamic modeling process. 7.1. Setting the objectives and the acceptance criteria. 7.2. Building the knowledge base. 7.3. From the knowledge base to a model schema. 7.4. From the model schema to a concrete model. 7.5. Model calibration, evaluation and refinement. 7.6. Summary. 7.7. Further reading -- 8. Simulation. 8.1. Model execution. 8.2. Random number generation. 8.3. Stochastic simulation algorithms. 8.4. Summary. 8.5. Further reading -- 9. Perspectives and conclusionsPPN: PPN: 877499624Package identifier: Produktsigel: ZDB-124-WOP
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Electronic reproduction; System requirements: Adobe Acrobat Reader

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