Elements of Computational Systems Biology

Elements of Computational Systems Biology

Editor(s): Huma M. Lodhi, Stephen H. Muggleton

Published Online: 19 APR 2010

Print ISBN: 9780470180938

Online ISBN: 9780470556757

DOI: 10.1002/9780470556757

Series Editor(s): Yi Pan, Albert Y. Zomaya

About this Book

Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems

Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology.

  • Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology

  • Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine

  • Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems

  • Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology

Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.

Table of contents

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  1. Part I: Overview

  2. Part II: Biological Network Modeling

    1. Chapter 4

      Rule-Based Modeling and Model Refinement (pages 83–114)

      Elaine Murphy, Vincent Danos, Jérôme Féret, Jean Krivine and Russell Harmer

  3. Part III: Biological Network Inference

  4. Part IV: Genomics and Computational Systems Biology

  5. Part V: Software Tools for Systems Biology

    1. You have free access to this content
    1. You have free access to this content