COMPUTATIONAL MODELING OF GENE REGULATORY NETWORKS — A PRIMER
by Hamid Bolouri
This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Unlike other books that are steeped in mathematical jargon and language, this book gives explanations in intuitive terms; and in cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are presented that can be used in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal in forming the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, and systems biology.
Contents:
- What Is a System, and Why Should We Care?
- What Models Can and
Cannot Predict
- Why Make Computational Models of Gene Regulatory Networks?
- Graphical Representations of Gene Regulatory Networks
- The Biochemical Basis of Gene Regulation
- Simplified Models: Mass Action Kinetics
- Network Inference in Practice
- Searching DNA Sequences for Transcription Factor Binding Sites
- Model Selection Theory
- System Dynamics
- Robustness Analysis
- Quo Vadis
- and other chapters
Readership: Undergraduate- and graduate-level experimental biology students
and researchers and practicing biologists; computational biology students and researchers; students and researchers in bioengineering, genome sciences, and related disciplines.
| 280pp (approx.) |
Pub. date: Scheduled Fall 2008 |
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