Presenting the main concepts, this book leads students as well as advanced researchers from different disciplines to an understanding of current ideas in the complex field of comprehensive experimental investigation of biological objects, analysis of data, development of models, simulation, and hypothesis generation.

It provides readers with guidance on how a specific complex biological question may be tackled:

• How to formulate questions that can be answered
• Which experiments to perform
• Where to find information in databases and on the Internet
• What kinds of models are appropriate
• How to use simulation tools
• What can be learned from the comparison of experimental data and modeling results
• How to make testable predictions

The authors demonstrate how mathematical concepts can illuminate the principles underlying biology at a genetic, molecular, cellular and even organism level, and how to use mathematical tools for analysis and prediction.

Content:
Chapter 1 Basic Principles (pages 1–17):
Chapter 2 Biology in a Nutshell (pages 19–55):
Chapter 3 Mathematics in a Nutshell (pages 57–108):
Chapter 4 Experimental Techniques in a Nutshell (pages 109–134):
Chapter 5 Metabolism (pages 135–199):
Chapter 6 Signal Transduction (pages 201–224):
Chapter 7 Selected Biological Processes (pages 225–256):
Chapter 8 Modeling of Gene Expression (pages 257–288):
Chapter 9 Analysis of Gene Expression Data (pages 289–336):
Chapter 10 Evolution and Self?Organization (pages 337–366):
Chapter 11 Data Integration (pages 367–386):
Chapter 12 What's Next? (pages 387–395):
Chapter 13 Databases and Tools on the Internet (pages 397–418):
Chapter 14 Modeling Tools (pages 419–449):