Biological Network Analysis Book

Biological Network Analysis


  • Author : Pietro Hiram Guzzi
  • Publisher : Elsevier
  • Release Date : 2020-05-11
  • Genre: Science
  • Pages : 210
  • ISBN 10 : 9780128193518

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Biological Network Analysis Excerpt :

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

Recent Advances in Biological Network Analysis Book

Recent Advances in Biological Network Analysis


  • Author : Byung-Jun Yoon
  • Publisher : Springer Nature
  • Release Date : 2021-01-13
  • Genre: Medical
  • Pages : 217
  • ISBN 10 : 9783030571733

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Recent Advances in Biological Network Analysis Excerpt :

This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network analysis and network module detection. The chapters in this volume are contributed by leading international researchers in computational network biology and offer in-depth insight on the latest techniques in network alignment, network clustering, and network module detection. Chapters discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances in Biological Network Analysis: Comparative Network Analysis and Network Module Detection will serve as a great resource for graduate students, academics, and researchers who are currently working in areas relevant to computational network biology or wish to learn more about the field. Data scientists whose work involves the analysis of graphs, networks, and other types of data with topological structure or relations can also benefit from the book's insights.

Analysis of Biological Networks Book

Analysis of Biological Networks


  • Author : Björn H. Junker
  • Publisher : John Wiley & Sons
  • Release Date : 2011-09-20
  • Genre: Computers
  • Pages : 368
  • ISBN 10 : 9781118209912

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Analysis of Biological Networks Excerpt :

An introduction to biological networks and methods for theiranalysis Analysis of Biological Networks is the first book of itskind to provide readers with a comprehensive introduction to thestructural analysis of biological networks at the interface ofbiology and computer science. The book begins with a brief overviewof biological networks and graph theory/graph algorithms and goeson to explore: global network properties, network centralities,network motifs, network clustering, Petri nets, signal transductionand gene regulation networks, protein interaction networks,metabolic networks, phylogenetic networks, ecological networks, andcorrelation networks. Analysis of Biological Networks is a self-containedintroduction to this important research topic, assumes no expertknowledge in computer science or biology, and is accessible toprofessionals and students alike. Each chapter concludes with asummary of main points and with exercises for readers to test theirunderstanding of the material presented. Additionally, an FTP sitewith links to author-provided data for the book is available fordeeper study. This book is suitable as a resource for researchers in computerscience, biology, bioinformatics, advanced biochemistry, and thelife sciences, and also serves as an ideal reference text forgraduate-level courses in bioinformatics and biologicalresearch.

Weighted Network Analysis Book

Weighted Network Analysis


  • Author : Steve Horvath
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-04-30
  • Genre: Science
  • Pages : 421
  • ISBN 10 : 9781441988195

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Weighted Network Analysis Excerpt :

High-throughput measurements of gene expression and genetic marker data facilitate systems biologic and systems genetic data analysis strategies. Gene co-expression networks have been used to study a variety of biological systems, bridging the gap from individual genes to biologically or clinically important emergent phenotypes.

Computational Network Analysis with R Book

Computational Network Analysis with R


  • Author : Matthias Dehmer
  • Publisher : John Wiley & Sons
  • Release Date : 2016-12-12
  • Genre: Medical
  • Pages : 364
  • ISBN 10 : 9783527339587

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Computational Network Analysis with R Excerpt :

This new title in the well-established "Quantitative Network Biology" series includes innovative and existing methods for analyzing network data in such areas as network biology and chemoinformatics. With its easy-to-follow introduction to the theoretical background and application-oriented chapters, the book demonstrates that R is a powerful language for statistically analyzing networks and for solving such large-scale phenomena as network sampling and bootstrapping. Written by editors and authors with an excellent track record in the field, this is the ultimate reference for R in Network Analysis.

Biological Networks and Pathway Analysis Book

Biological Networks and Pathway Analysis


  • Author : Tatiana V. Tatarinova
  • Publisher : Humana Press
  • Release Date : 2017-08-29
  • Genre: Science
  • Pages : 509
  • ISBN 10 : 1493970259

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Biological Networks and Pathway Analysis Excerpt :

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.

Networks of Networks in Biology Book

Networks of Networks in Biology


  • Author : Narsis A. Kiani
  • Publisher : Cambridge University Press
  • Release Date : 2021-04
  • Genre: Computers
  • Pages : 215
  • ISBN 10 : 9781108428873

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Networks of Networks in Biology Excerpt :

Introduces network inspired approaches for the analysis and integration of large, heterogeneous data sets in the life sciences.

Analyzing Network Data in Biology and Medicine Book

Analyzing Network Data in Biology and Medicine


  • Author : Nataša Pržulj
  • Publisher : Cambridge University Press
  • Release Date : 2019-03-28
  • Genre: Language Arts & Disciplines
  • Pages : 647
  • ISBN 10 : 9781108432238

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Analyzing Network Data in Biology and Medicine Excerpt :

Introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning, using real-world biological and medical examples.

An Introduction to Systems Biology Book

An Introduction to Systems Biology


  • Author : Uri Alon
  • Publisher : CRC Press
  • Release Date : 2019-07-12
  • Genre: Mathematics
  • Pages : 324
  • ISBN 10 : 9781000001327

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An Introduction to Systems Biology Excerpt :

Praise for the first edition: ... superb, beautifully written and organized work that takes an engineering approach to systems biology. Alon provides nicely written appendices to explain the basic mathematical and biological concepts clearly and succinctly without interfering with the main text. He starts with a mathematical description of transcriptional activation and then describes some basic transcription-network motifs (patterns) that can be combined to form larger networks. – Nature [This text deserves] serious attention from any quantitative scientist who hopes to learn about modern biology ... It assumes no prior knowledge of or even interest in biology ... One final aspect that must be mentioned is the wonderful set of exercises that accompany each chapter. ... Alon’s book should become a standard part of the training of graduate students. – Physics Today Written for students and researchers, the second edition of this best-selling textbook continues to offer a clear presentation of design principles that govern the structure and behavior of biological systems. It highlights simple, recurring circuit elements that make up the regulation of cells and tissues. Rigorously classroom-tested, this edition includes new chapters on exciting advances made in the last decade. Features: Includes seven new chapters The new edition has 189 exercises, the previous edition had 66 Offers new examples relevant to human physiology and disease

Statistical and Evolutionary Analysis of Biological Networks Book

Statistical and Evolutionary Analysis of Biological Networks


  • Author : Michael P. H. Stumpf
  • Publisher : World Scientific
  • Release Date : 2010
  • Genre: Science
  • Pages : 179
  • ISBN 10 : 9781848164338

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Statistical and Evolutionary Analysis of Biological Networks Excerpt :

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.

Thermodynamic Network Analysis of Biological Systems Book

Thermodynamic Network Analysis of Biological Systems


  • Author : J. Schnakenberg
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Science
  • Pages : 150
  • ISBN 10 : 9783642679711

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Thermodynamic Network Analysis of Biological Systems Excerpt :

The first edition of this book was greeted with broad interest from readers en gaged in various disciplines of biophysics. I received many stimulating and en couraging responses, however, some of the book's reviewers wanted to stress the fact that an extensive literature of network theory was not included or reported in the book. But the main aspect of the book is intended to be substantive rather than methodical: networks simply serve as a remedy for doing some first steps in analysing and modelling complex biological systems. For an advanced stage in the investigation of a particular system it may be appropriate to replace the pheno menological network method by more detailed techniques like statistical equations or computer simulations. According to this intention, the second edition of the book has been enlarged by further biological examples for network analysis, not by more network theory. There is a completely new section on a network model for photoreception. For this section I am obliged to J. Tiedge who did most of the detailed calculation and to my colleague Professor Stieve with whom we have had a very fruitful cooperation. Also I would like to mention that this work has been sponsored by the "Deutsche Forschungsgemei nschaft" i n the "Sonderforschungsberei ch 160". Recent results for excitable systems represented by feedback networks have also been included in the second edition, especially for limit cycle networks.

Bioinformatics and Human Genomics Research Book

Bioinformatics and Human Genomics Research


  • Author : Diego A. Forero
  • Publisher : CRC Press
  • Release Date : 2021-12-23
  • Genre: Science
  • Pages : 509
  • ISBN 10 : 9781000405682

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Bioinformatics and Human Genomics Research Excerpt :

Advances in high-throughput biological methods have led to the publication of a large number of genome-wide studies in human and animal models. In this context, recent tools from bioinformatics and computational biology have been fundamental for the analysis of these genomic studies. The book Bioinformatics and Human Genomics Research provides updated and comprehensive information about multiple approaches of the application of bioinformatic tools to research in human genomics. It covers strategies analysis of genome-wide association studies, genome-wide expression studies and genome-wide DNA methylation, among other topics. It provides interesting strategies for data mining in human genomics, network analysis, prediction of binding sites for miRNAs and transcription factors, among other themes. Experts from all around the world in bioinformatics and human genomics have contributed chapters in this book. Readers will find this book as quite useful for their in silico explorations, which would contribute to a better and deeper understanding of multiple biological processes and of pathophysiology of many human diseases.

A Practical Guide To Cancer Systems Biology Book

A Practical Guide To Cancer Systems Biology


  • Author : Juan Hsueh-fen
  • Publisher : World Scientific
  • Release Date : 2017-11-29
  • Genre: Medical
  • Pages : 152
  • ISBN 10 : 9789813229167

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A Practical Guide To Cancer Systems Biology Excerpt :

Systems biology combines computational and experimental approaches to analyze complex biological systems and focuses on understanding functional activities from a systems-wide perspective. It provides an iterative process of experimental measurements, data analysis, and computational simulation to model biological behavior. This book provides explained protocols for high-throughput experiments and computational analysis procedures central to cancer systems biology research and education. Readers will learn how to generate and analyze high-throughput data, therapeutic target protein structure modeling and docking simulation for drug discovery. This is the first practical guide for students and scientists who wish to become systems biologists or utilize the approach for cancer research. Contents: Introduction to Cancer Systems Biology (Hsueh-Fen Juan and Hsuan-Cheng Huang)Transcriptome Analysis: Library Construction (Hsin-Yi Chang and Hsueh-Fen Juan)Quantitative Proteome: The Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) (Yi-Hsuan Wu and Hsueh-Fen Juan)Phosphoproteome: Sample Preparation (Chia-Wei Hu and Hsueh-Fen Juan)Transcriptomic Data Analysis: RNA-Seq Analysis Using Galaxy (Chia-Lang Hsu and Chantal Hoi Yin Cheung)Proteomic Data Analysis: Functional Enrichment (Hsin-Yi Chang and Hsueh-Fen Juan)Phosphorylation Data Analysis (Chia-Lang Hsu and Wei-Hsuan Wang)Pathway and Network Analysis (Chen-Tsung Huang and Hsueh-Fen Juan)Dynamic Modeling (Yu-Chao Wang)Protein Structure Modeling (Chia-Hsien Lee and Hsueh-Fen Juan)Docking Simulation (Chia-Hsien Lee and Hsueh-Fen Juan) Readership: Graduate students and researchers entering the cancer systems biology field. Keywords: Systems Biology;Transcriptomics;Proteomics;Network Biology;Dynamic Modeling;Protein Structure Modeling;Docking Simulation;BioinformaticsReview: Key Features: Written by two active researchers in the fieldCovers both experimental and computational areas in cancer systems biologyStep-by-step

Protein Networks and Pathway Analysis Book

Protein Networks and Pathway Analysis


  • Author : Yuri Nikolsky
  • Publisher : Humana Press
  • Release Date : 2011-11-30
  • Genre: Science
  • Pages : 410
  • ISBN 10 : 1617794880

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Protein Networks and Pathway Analysis Excerpt :

From the beginning of the OMICs biology era, science has been pursuing the reduction of the complex "genome-wide" assays in order to understand the essential biology that lies beneath it. In Protein Networks and Pathway Analysis, 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. The volume is divided into three convenient sections, covering the elucidation of protein, compound and gene interactions, analytical tools, including networks, interactome and ontologies, and applications of functional analysis. As a volume in the highly successful Methods in Molecular BiologyTM series, this work provides detailed descriptions and hands-on implementation advice. Authoritative and cutting-edge, Protein 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.

Biological Network Analysis Book

Biological Network Analysis


  • Author : Pietro Hiram Guzzi
  • Publisher : Academic Press
  • Release Date : 2020-05-26
  • Genre: Science
  • Pages : 210
  • ISBN 10 : 9780128193501

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Biological Network Analysis Excerpt :

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