Elements of Computational Systems Biology

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John Wiley & Sons, 25.03.2010 - 400 Seiten
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Groundbreaking, long-ranging research in this emergent fieldthat enables solutions to complex biological problems

Computational systems biology is an emerging discipline that isevolving quickly due to recent advances in biology such as genomesequencing, high-throughput technologies, and the recentdevelopment of sophisticated computational methodologies. Elementsof Computational Systems Biology is a comprehensive referencecovering the computational frameworks and techniques needed to helpresearch scientists and professionals in computer science, biology,chemistry, pharmaceutical science, and physics solve complexbiological problems. Written by leading experts in the field, thispractical resource gives detailed descriptions of core subjects,including biological network modeling, analysis, and inference;presents a measured introduction to foundational topics likegenomics; and describes state-of-the-art software tools for systemsbiology.

  • Offers a coordinated integrated systems view of defining andapplying computational and mathematical tools and methods tosolving problems in systems biology

  • Chapters provide a multidisciplinary approach and range fromanalysis, modeling, prediction, reasoning, inference, andexploration of biological systems to the implications ofcomputational systems biology on drug design and medicine

  • Helps reduce the gap between mathematics and biology bypresenting chapters on mathematical models of biologicalsystems

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

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

 

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Inhalt

PART I OVERVIEW
1
PART II BIOLOGICAL NETWORK MODELING
19
PART III BIOLOGICAL NETWORK INFERENCE
163
PART IV GENOMICS AND COMPUTATIONAL SYSTEMS BIOLOGY
281
PART V SOFTWARE TOOLS FOR SYSTEMS BIOLOGY
341
INDEX
403
SERIES INFORMATION
413
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Über den Autor (2010)

HUMA M. LODHI, PhD, MBCS, is a researcher with theDepartment of Computing, Imperial College London. She has studiedat Royal Holloway, University of London and has previously workedas a researcher with the Department of Computer Science, Universityof Sheffield.

STEPHEN H. MUGGLETON, PhD, FAAAI, is a Professor ofMachine Learning, Department of Computing, Imperial College London,and is the Director of Modeling, BBSRC Centre for IntegrativeSystems Biology, Imperial College London. He is a Fellow of theAmerican Association for Artificial Intelligence and was aprofessor of machine learning, Department of Computing, Universityof York.

Both editors have published in leading international conferencesand journals.

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