Systems Biology
A Textbook
2nd Edition
Published on 28. March 2016
504 pages
978-3-527-67566-1 (ISBN)
Description
Completely revised and expanded, this new edition now includes a section on medical systems biology and comes in a large format with a vastly improved layout, professional artwork throughout, and student-friendly reading lists.
The experienced author team has worked closely to ensure a homogenous style and comprehensive coverage without overlaps. The text retains its easily accessible style and includes numerous work examples and study questions in each chapter.
The greatly improved companion website features a complete set of figures, a summary for exam preparations and modeling software for study purposes.
Now that systems biology is becoming an integral part of the life science curriculum, this textbook is geared towards biologists, engineers and computer scientists.
The experienced author team has worked closely to ensure a homogenous style and comprehensive coverage without overlaps. The text retains its easily accessible style and includes numerous work examples and study questions in each chapter.
The greatly improved companion website features a complete set of figures, a summary for exam preparations and modeling software for study purposes.
Now that systems biology is becoming an integral part of the life science curriculum, this textbook is geared towards biologists, engineers and computer scientists.
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05/2016
2nd Edition
Wiley-VCH
€89.90
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2nd Edition
Wiley-VCH
€119.00
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Persons
Edda Klipp (born 1965) studied theoretical biophysics at the Humboldt University Berlin. A member of the Yeast Systems Biology Network, her research interests include mathematical modeling of cellular systems, signal transduction, systems biology, and text mining.
Wolfram Liebermeister (born 1972) studied physics in Tübingen and Hamburg and obtained a PhD of theoretical biophysics at the Humboldt University of Berlin. In his works on complex biological systems, he points out functional aspects like variability, information, and optimality.
Christoph Wierling (born 1973) studied biology at the University of Münster and recently obtained a PhD degree on the modeling and simulation of biological systems.
Axel Kowald (born 1963) holds a PhD in mathematical biology from the National Institute for Medical Research, London. His current research interests focus on the mathematical modeling of processes involved in the biology of aging and systems biology.
Wolfram Liebermeister (born 1972) studied physics in Tübingen and Hamburg and obtained a PhD of theoretical biophysics at the Humboldt University of Berlin. In his works on complex biological systems, he points out functional aspects like variability, information, and optimality.
Christoph Wierling (born 1973) studied biology at the University of Münster and recently obtained a PhD degree on the modeling and simulation of biological systems.
Axel Kowald (born 1963) holds a PhD in mathematical biology from the National Institute for Medical Research, London. His current research interests focus on the mathematical modeling of processes involved in the biology of aging and systems biology.
Content
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
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
