Skip Navigation

Book Search

< Back to Search Results

A First Course in Systems Biology

Edition:
2nd
Author(s):
Eberhard Voit
ISBN:
9780815345688
Format:
Paperback
Publication Date:
May 30, 2017
Content Details:
490 pages | 351 illustrations
Language:
English

Your Cart:

List Price:   $125.00

  
add to cart

Also of Interest

  • About the Book

    Book Summary

    A First Course in Systems Biology 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 modeling, 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.

    New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes.

    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.

    Features

      • Provides the reader with a comprehensive introduction to the methods used to execute standard systems biology tasks
      • Features boxes throughout that delve into the details of specific computational models and techniques used in the field
      • JPEGs and PowerPoint slides of all book figures and the solutions to end-of-chapter exercises are available to instructors in Instructor Resources on www.garlandscience.com
      • Helpful data tables and hints for the exercises, flashcards, and a searchable online glossary are available to students in Student Resources on www.garlandscience.com
  • 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: A Case Study in Yeast
    12. Physiological Modeling: The Heart as an Example
    13. Systems Biology in Medicine and Drug Development
    14. Design of Biological Systems
    15. Emerging Topics in Systems Biology