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 1β17):
Chapter 2 Biology in a Nutshell (pages 19β55):
Chapter 3 Mathematics in a Nutshell (pages 57β108):
Chapter 4 Experimental Techniques in a Nutshell (pages 109β134):
Chapter 5 Metabolism (pages 135β199):
Chapter 6 Signal Transduction (pages 201β224):
Chapter 7 Selected Biological Processes (pages 225β256):
Chapter 8 Modeling of Gene Expression (pages 257β288):
Chapter 9 Analysis of Gene Expression Data (pages 289β336):
Chapter 10 Evolution and Self?Organization (pages 337β366):
Chapter 11 Data Integration (pages 367β386):
Chapter 12 What's Next? (pages 387β395):
Chapter 13 Databases and Tools on the Internet (pages 397β418):
Chapter 14 Modeling Tools (pages 419β449):