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A First Course in Systems Biology

By Eberhard Voit

Published March 28th 2012 by Garland Science – 496 pages

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Description

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.

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.

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

Related Subjects

  1. Bioinformatics

Name: A First Course in Systems Biology (Paperback)Garland Science 
Description: By Eberhard Voit. 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. Because the biological sciences...
Categories: Bioinformatics