Biological Networks
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Analysis of Biological Networks
Author | : Björn H. Junker,Falk Schreiber |
Publsiher | : John Wiley & Sons |
Total Pages | : 278 |
Release | : 2011-09-20 |
Genre | : Computers |
ISBN | : 9781118209912 |
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An introduction to biological networks and methods for their analysis Analysis 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.
Introduction to Biological Networks
Author | : Alpan Raval,Animesh Ray |
Publsiher | : CRC Press |
Total Pages | : 329 |
Release | : 2016-04-19 |
Genre | : Computers |
ISBN | : 9781420010367 |
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The new research area of genomics-inspired network biology lacks an introductory book that enables both physical/computational scientists and biologists to obtain a general yet sufficiently rigorous perspective of current thinking. Filling this gap, Introduction to Biological Networks provides a thorough introduction to genomics-inspired network bi
Biological Networks
Author | : Franois Kps |
Publsiher | : World Scientific |
Total Pages | : 531 |
Release | : 2007 |
Genre | : Science |
ISBN | : 9789812706959 |
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This volume presents a timely and comprehensive overview of biological networks at all organization levels in the spirit of the complex system approach. It discusses the transversal issues and fundamental principles as well as the overall structure, dynamics, and modeling of a wide array of biological networks at the molecular, cellular, and population levels. Anchored in both empirical data and a strong theoretical background, the book therefore lends valuable credence to the complex systems approach.
Networks of Networks in Biology
Author | : Narsis A. Kiani,David Gomez-Cabrero,Ginestra Bianconi |
Publsiher | : Cambridge University Press |
Total Pages | : 215 |
Release | : 2021-04 |
Genre | : Computers |
ISBN | : 9781108428873 |
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Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.
Statistical and Evolutionary Analysis of Biological Networks
Author | : Michael P. H. Stumpf,Carsten Wiuf |
Publsiher | : World Scientific |
Total Pages | : 179 |
Release | : 2010 |
Genre | : Science |
ISBN | : 9781848164338 |
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Networks provide a very useful way to describe a wide range of different data types in biology, physics and elsewhere. Apart from providing a convenient tool to visualize highly dependent data, networks allow stringent mathematical and statistical analysis. In recent years, much progress has been achieved to interpret various types of biological network data such as transcriptomic, metabolomic and protein interaction data as well as epidemiological data. Of particular interest is to understand the organization, complexity and dynamics of biological networks and how these are influenced by network evolution and functionality. This book reviews and explores statistical, mathematical and evolutionary theory and tools in the understanding of biological networks. The book is divided into comprehensive and self-contained chapters, each of which focuses on an important biological network type, explains concepts and theory and illustrates how these can be used to obtain insight into biologically relevant processes and questions. There are chapters covering metabolic, transcriptomic, protein interaction and epidemiological networks as well as chapters that deal with theoretical and conceptual material. The authors, who contribute to the book, are active, highly regarded and well-known in the network community.
Handbook on Biological Networks
Author | : Stefano Boccaletti,Vito Latora,Yamir Moreno |
Publsiher | : World Scientific |
Total Pages | : 465 |
Release | : 2010 |
Genre | : Science |
ISBN | : 9789812838797 |
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Networked systems are all around us. The accumulated evidence of systems as complex as a cell cannot be fully understood by studying only their isolated constituents, giving rise to a new area of interest in research ? the study of complex networks. In a broad sense, biological networks have been one of the most studied networks, and the field has benefited from many important contributions. By understanding and modeling the structure of a biological network, a better perception of its dynamical and functional behavior is to be expected. This unique book compiles the most relevant results and novel insights provided by network theory in the biological sciences, ranging from the structure and dynamics of the brain to cellular and protein networks and to population-level biology.
Biological Network Analysis
Author | : Pietro Hiram Guzzi,Swarup Roy |
Publsiher | : Elsevier |
Total Pages | : 212 |
Release | : 2020-05-11 |
Genre | : Science |
ISBN | : 9780128193518 |
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Biological Network Analysis: Trends, Approaches, Graph Theory, and Algorithms considers three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN), and Human Brain Connectomes. The book's authors discuss various graph theoretic and data analytics approaches used to analyze these networks with respect to available tools, technologies, standards, algorithms and databases for generating, representing and analyzing graphical data. As a wide variety of algorithms have been developed to analyze and compare networks, this book is a timely resource. Presents recent advances in biological network analysis, combining Graph Theory, Graph Analysis, and various network models Discusses three major biological networks, including Gene Regulatory Networks (GRN), Protein-Protein Interaction Networks (PPIN) and Human Brain Connectomes Includes a discussion of various graph theoretic and data analytics approaches
Biological Networks and Pathway Analysis
Author | : Tatiana V. Tatarinova,Yuri Nikolsky |
Publsiher | : Humana |
Total Pages | : 0 |
Release | : 2018-08-03 |
Genre | : Science |
ISBN | : 1493983725 |
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In this volume, expert practitioners present a compilation of methods of functional data analysis (often referred to as “systems biology”) and its applications in drug discovery, medicine, and basic disease research. It covers such important issues as the elucidation of protein, compound and gene interactions, as well as analytical tools, including networks, interactome and ontologies, and clinical applications of functional analysis. As a volume in the highly successful Methods in Molecular Biology series, this work provides detailed description and hands-on implementation advice. Reputable, comprehensive, and cutting-edge, Biological Networks and Pathway Analysis presents both “wet lab” experimental methods and computational tools in order to cover a broad spectrum of issues in this fascinating new field.