Systems Biology: A Textbook

Front Cover
John Wiley & Sons, Jun 27, 2016 - Medical - 504 pages

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. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.

 

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Contents

1
3
Modeling of Biochemical Systems
15
3
23
1
26
4
39
2
40
5
63
6
87
Minimal Cascade Model of a Mitotic
310
Evolution of the Aging Process
316
Using Delay Differential Equations to Study
323
13
333
Experimental Techniques
357
Southern Blotting
363
Mass Spectrometry
369
SingleCell Experiments
375

1
110
7
121
3
127
8
145
Gene Expression Models
171
1
209
6
211
Optimality and Evolution
241
Metabolism Is Shaped by Optimality
248
Optimal Enzyme Concentrations
255
Evolution and SelfOrganization
261
Glass Model
269
Models of Biochemical Systems
285
Signaling Pathways
291
Analysis of Dynamic and Regulatory Features
304
Mathematical and Physical Concepts
381
Linearization of Autonomous Systems
388
Descriptive Statistics
396
Principal Component Analysis
404
Markov Chains
410
Model Reduction
416
Chemical Reaction Systems
422
Multiple Testing
428
Databases
445
ConsensusPathDB
451
17
457
359
475
449
478
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About the author (2016)

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 Tubingen 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 Munster 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.

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