NEW FROM GARLAND SCIENCE
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A FIRST COURSE IN
SYSTEMS BIOLOGY
early biomarkers
Because the biological sciences have become so complex that no individual can acquire complete knowledge in any given area of specialization, the education of future systems biologists must instead develop a student’s ability to retrieve, reformat, merge, and interpret complex biological information. This book provides the reader with the background and mastery of methods to execute standard systems biology tasks, understand the modern literature, and launch 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 larger-scale, often open-ended questions for further reflection.
late biomarkers
• Learning Objectives at the beginning of each chapter • Boxes describing specific computational techniques • End-of-chapter exercises, with solutions available to instructors • End-of-chapter references and suggestions for further reading
disease predictors
Figure 13.3 Hierarchial biomarker networks. Figure 13.3
EBERHARD O. VOIT
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A First Course in Systems Biology is a textbook designed for advanced undergraduate and graduate students. Its main focus is the development of computational models and their applications to diverse biological systems.
KEY FEATURES
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Online resources for students and instructors can be found at www.garlandscience.com/systems-biology. For instructors who recommend or adopt the book for their course: • Artwork in JPEG & PPT formats. • Solutions to end-of-chapter exercises.
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Figure 10.12
Figure 10.12 Even small dynamic systems may exhibit deterministic chaos.
April 2012 978-0-8153-4467-4 • £44.00 464 pages • 330 illustrations • Paperback
For students: • Online flashcards. • Data tables for end-of-chapter exercises. • Hints to end-of-chapter exercises. CUSTOM PUBLISHING: Garland Science Custom Publishing enables the creation of materials from multiple sources, including A First Course in Systems Biology, in just a few clicks. Visit http://garland.sharedbook.com to learn more.
A sample chapter and detailed table of contents are available at www.garlandscience.com/systems-biology
CONTENTS 1. Biological Systems 2. Introduction to Mathematical Modeling 3. Static Network Models 4. The Mathematics of Biological Systems 5. Parameter Estimation
6. Gene Systems 7. Protein Systems 8. Metabolic Systems 9. Signaling Systems 10. Population Systems 11. Integrative Analysis of Genome, Protein, and Metabolite Data
12. Physiological Modeling: the Heart as Example 13. Systems Biology in Medicine and Drug Development 14. Design of Biological Systems 15. Emerging Topics in Systems Biology
To request an inspection copy or order on-line visit www.garlandscience.com/systems-biology Untitled-1.indd 2-3
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To place an order contact your local bookseller or Taylor and Francis sales representative.
3 Park Square, Milton Park, Abingdon, OXON OX14 4RN www.garlandscience.com
THE AUTHOR Eberhard O. Voit is Professor and Georgia Research Alliance Eminent Scholar at the Georgia Institute of Technology. He is also the founding director of Georgia Tech’s new Integrative BioSystems Institute. He has written extensively on the analysis of biological systems, including two textbooks, an edited research text and about 180 scientific papers and book chapters.
PRAISE FOR A FIRST COURSE IN SYSTEMS BIOLOGY “The exercises combined with the explanatory notes in [Chapter 11] make a complete student project. This is ideal material for a standalone practical course, or for the final student assignment in a longer course as it is very open-ended and will reflect the current literature.”
“Chapter 5 was great. It gives a good overview of what is available and works for biological model parameter estimation, and points out the common pitfalls that are encountered. If all the chapters [are] like this one I [will] adopt the book in a heartbeat.”
ANDREW DALBY,
WILLIAM T. BAUMANN,
INSTITUTE OF ANIMAL HEALTH, UK
VIRGINIA TECH, USA GSVOIT1201 ISBN: 978-0-418-26368-6
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