Eberhard Voit

A First Course in Systems Biology (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modelling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means.

The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 960
• Erscheinungstermin: 5. September 2017
• Englisch
• ISBN-13: 9781351332934
• Artikelnr.: 56903812

Autorenporträt

Eberhard O. Voit has been working in systems biology for over forty years. He is considered an expert on pathway analysis and biochemical systems theory. He is particularly interested in the education of the next generation of computational systems biologists and has numerous books and over 300 articles and book chapters to his credit. Melissa L. Kemp is a systems biologist who has been combining experimental and computational studies for over two decades. She is interested in developing methods of computational systems biology to investigate the role of cellular metabolism in influencing information processing and cell fate decisions and modes of communication that drive self-organization in multicellular systems.

Inhaltsangabe

1. Biological Systems
2. Introduction to Mathematical Modeling
3. Static Network Models
4. Discrete Biological Systems
5. Continuous Biological Systems
6. Optimal Models
7. Gene Systems
8. Protein Systems
9. Metabolic Systems
10. Signaling Systems
11. Multiscale Modeling and Agent-based Simulations
12. Physiological Modeling: The Heart as an Example
13. Systems Biology in Medicine and Drug Development
14. Population Systems
15. Emerging Topics in Systems Biology
Glossary