Holy Name University Library

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Systems biology : a textbook / Edda Klipp, Wolfram liebermeister, Christoph Wierling and Axel Kowald.

By: Klipp, Edda et al.
Contributor(s): Liebermeister, Wolfram | Wierling, Christoph | Kowald, Axel.
Weinheim, Germany: Wiley-VCH, ©2016Edition: Second, completely revised and enlarged edition.Description: xiii, 488 pages : illustrations ; 28 cm.Content type: text. ISBN: 9783527336364.Subject(s): Systems biology -- Textbooks | Systems Biology | Biochemical Phenomena | Computer Simulation | Genomics | Models, Biological | Systems biologyDDC classification: 570/Sy87 Other classification: CAS
Contents:
INTRODUCTION TO SYSTEM BIOLOGY Introduction Modeling of Biochemical Systems Structural Modeling and Analysis of Biochemical Networks Kinetic Models of Biochemical Networks Introduction Data Formats, Simulation Techniques, and Modeling Tools Model Fitting, Reduction, and Coupling Discrete, Stochastic, and Spatial Models Network Structures, Dynamics and Function Gene Expression Models Variability, Robustness, and Information Evolution and Optimality Models of Biochemical Systems REFERENCE SECTION Cell Biology Experimental Techniques Mathematical and Physical Concepts Databases Software Tools for Modeling.
Summary: This advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists. It comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs.
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Includes bibliographical references and index.

INTRODUCTION TO SYSTEM BIOLOGY Introduction Modeling of Biochemical Systems Structural Modeling and Analysis of Biochemical Networks Kinetic Models of Biochemical Networks Introduction Data Formats, Simulation Techniques, and Modeling Tools Model Fitting, Reduction, and Coupling Discrete, Stochastic, and Spatial Models Network Structures, Dynamics and Function Gene Expression Models Variability, Robustness, and Information Evolution and Optimality Models of Biochemical Systems REFERENCE SECTION Cell Biology Experimental Techniques Mathematical and Physical Concepts Databases Software Tools for Modeling.

This advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists. It comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs.

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