Analysis of Biological Networks

Björn H. Junker 지음

Wiley-Interscience 2011년 09월 20일 출간

작품소개

책소개

An introduction to biological networks and methods for their analysisAnalysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks.Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study.This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.

목차

Foreword xiiiPreface xvContributors xixPART I INTRODUCTION 11 Networks in Biology 3Bjorn H. Junker1.1 Introduction 31.2 Biology 101 41.3 Systems Biology 81.4 Properties of Biological Networks 81.5 Summary 121.6 Exercises 122 Graph Theory 15Falk Schreiber2.1 Introduction 152.2 Basic Notation 162.3 Special Graphs 192.4 Graph Representation 232.5 Graph Algorithms 242.6 Summary 272.7 Exercises 27PART II NETWORK ANALYSIS 293 Global Network Properties 31Ralf Steuer and Gorka Zamora Lopez3.1 Introduction 313.2 Global Properties of Complex Networks 333.3 Models of Complex Networks 433.4 Additional Properties of Complex Networks 483.5 Statistical Testing of Network Properties 523.6 Summary 573.7 Exercises 584 Network Centralities 65Dirk Koschutzki4.1 Introduction 654.2 Centrality Definition and Fundamental Properties 674.3 Degree and Shortest Path-Based Centralities 694.4 Feedback-Based Centralities 774.5 Tools 804.6 Summary 804.7 Exercises 815 Network Motifs 85Henning Schwobbermeyer5.1 Introduction 855.2 Definitions and Basic Concepts 865.3 Motif Statistics and Motif-Based Network Distance 895.4 Complexity of Network Motif Detection 945.5 Methods and Tools for Network Motif Analysis 965.6 Analyses and Applications of Network Motifs 975.7 Summary 1065.8 Exercises 1086 Network Clustering 113Balabhaskar Balasundaram and Sergiy Butenko6.1 Introduction 1136.2 Notations and Definitions 1156.3 Network Clustering Problem 1186.4 Clique-Based Clustering 1196.5 Center-Based Clustering 1256.6 Conclusion 1316.7 Summary 1336.8 Exercises 1337 Petri Nets 139Ina Koch and Monika Heiner7.1 Introduction 1397.2 Qualitative Modeling 1417.3 Qualitative Analysis 1527.4 Quantitative Modelin

출판사 서평

"This book is a wonderful text for biological network analysis. It comprehensively presents a numbers of analysis tools and their applications for understanding real biological problems. This book is a must-read for entry-level students and researchers, and a complete reference source for experts." (Computing Reviews, March 6, 2009)"This book is an excellent introduction to the analysis of biological networks.& The exercise provided after each chapter make the book suitable for self-study, and the extensive references provide the interested reader with good sources for further reading." (Computing Reviews, August 21, 2008)

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저자(글) Björn H. Junker

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Bj#246;rn H. Junker is a biologist with a strong background in bioinformatics. His current research activities include the quantitative analysis and modeling of metabolic networks, as well as pathway databases and visual data mining. Mr. Junker has been at the Leibniz Institute of Plant Genetics and Crop Plant Research in Germany since 2003. He worked at Brookhaven National Laboratory in New York during 2006 and was appointed as project leader at the Leibniz Institute in 2007.Falk Schreiber is a computer scientist who has worked in bioinformatics for more than ten years. His current research areas include modeling, analysis, and visualization of biological networks; graph algorithms; and data exploration and information visualization in the life sciences. Since 2003, he has been head of the Network Analysis Research Group at the Leibniz Institute of Plant Genetics and Crop Plant Research. He was appointed professor of bioinformatics at the Martin Luther University Halle-Wittenberg, Germany, in 2007.