Systems Biology PDF Download

Author: A.K. Konopka
Publisher: CRC Press
ISBN: 1420015125
Category : Science
Languages : en
Pages : 258

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Book Description
With extraordinary clarity,the Systems Biology: Principles, Methods, and Concepts focuses on the technical practical aspects of modeling complex or organic general systems. It also provides in-depth coverage of modeling biochemical, thermodynamic, engineering, and ecological systems. Among other methods and concepts based in logic, computer

Author: Daniel Jameson
Publisher: Academic Press
ISBN: 0123851181
Category : Medical
Languages : en
Pages : 775

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Book Description
Systems biology is a term used to describe a number of trends in bioscience research and a movement that draws on those trends. This volume in the Methods in Enzymology series comprehensively covers the methods in systems biology. With an international board of authors, this volume is split into sections that cover subjects such as machines for systems biology, protein production and quantification for systems biology, and enzymatic assays in systems biology research. This volume in the Methods in Enzymology series comprehensively covers the methods in systems biology With an international board of authors, this volume is split into sections that cover subjects such as machines for systems biology, protein production and quantification for systems biology, and enzymatic assays in systems biology research

Author: Peter Deuflhard
Publisher: Springer
ISBN: 3319200593
Category : Mathematics
Languages : en
Pages : 185

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Book Description
This book is intended for students of computational systems biology with only a limited background in mathematics. Typical books on systems biology merely mention algorithmic approaches, but without offering a deeper understanding. On the other hand, mathematical books are typically unreadable for computational biologists. The authors of the present book have worked hard to fill this gap. The result is not a book on systems biology, but on computational methods in systems biology. This book originated from courses taught by the authors at Freie Universität Berlin. The guiding idea of the courses was to convey those mathematical insights that are indispensable for systems biology, teaching the necessary mathematical prerequisites by means of many illustrative examples and without any theorems. The three chapters cover the mathematical modelling of biochemical and physiological processes, numerical simulation of the dynamics of biological networks and identification of model parameters by means of comparisons with real data. Throughout the text, the strengths and weaknesses of numerical algorithms with respect to various systems biological issues are discussed. Web addresses for downloading the corresponding software are also included.

Author: María Elena Álvarez-Buylla Roces
Publisher: Springer
ISBN: 3319893548
Category : Science
Languages : en
Pages : 258

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Book Description
This book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach.

Author: Ross Carlson
Publisher: MDPI
ISBN: 3039211633
Category : Science
Languages : en
Pages : 214

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Book Description
Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections: • Reviews of Computational Methods • Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels • The Interface of Biotic and Abiotic Processes • Processing of Large Data Sets for Enhanced Analysis • Parameter Optimization and Measurement

Author: Bernhard Schölkopf
Publisher: MIT Press
ISBN: 9780262195096
Category : Computers
Languages : en
Pages : 428

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Book Description
A detailed overview of current research in kernel methods and their application to computational biology.

Author: Ali Navid
Publisher: Humana Press
ISBN: 9781617798269
Category : Science
Languages : en
Pages : 0

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Book Description
Systems biology is the study of interactions between assorted components of biological systems with the aim of acquiring new insights into how organisms function and respond to different stimuli. Although more and more efforts are being directed toward examining systems biology in complex multi-cellular organisms, the bulk of system-level analyses conducted to date have focused on the biology of microbes. In, Microbial Systems Biology: Methods and Protocols expert researchers in the field describe the utility and attributes of different tools (both experimental and computational) that are used for studying microbial systems. Written in the highly successful Methods in Molecular BiologyTM series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Microbial Systems Biology: Methods and Protocols introduces and aids scientists in using the various tools that are currently available for analysis, modification and utilization of microbial organisms.

Author: Andres Kriete
Publisher: Academic Press
ISBN: 0124059384
Category : Computers
Languages : en
Pages : 549

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Book Description
This comprehensively revised second edition of Computational Systems Biology discusses the experimental and theoretical foundations of the function of biological systems at the molecular, cellular or organismal level over temporal and spatial scales, as systems biology advances to provide clinical solutions to complex medical problems. In particular the work focuses on the engineering of biological systems and network modeling. Logical information flow aids understanding of basic building blocks of life through disease phenotypes Evolved principles gives insight into underlying organizational principles of biological organizations, and systems processes, governing functions such as adaptation or response patterns Coverage of technical tools and systems helps researchers to understand and resolve specific systems biology problems using advanced computation Multi-scale modeling on disparate scales aids researchers understanding of dependencies and constraints of spatio-temporal relationships fundamental to biological organization and function.

Author: Brian P. Ingalls
Publisher: MIT Press
ISBN: 0262545829
Category : Science
Languages : en
Pages : 423

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Book Description
An introduction to the mathematical concepts and techniques needed for the construction and analysis of models in molecular systems biology. Systems techniques are integral to current research in molecular cell biology, and system-level investigations are often accompanied by mathematical models. These models serve as working hypotheses: they help us to understand and predict the behavior of complex systems. This book offers an introduction to mathematical concepts and techniques needed for the construction and interpretation of models in molecular systems biology. It is accessible to upper-level undergraduate or graduate students in life science or engineering who have some familiarity with calculus, and will be a useful reference for researchers at all levels. The first four chapters cover the basics of mathematical modeling in molecular systems biology. The last four chapters address specific biological domains, treating modeling of metabolic networks, of signal transduction pathways, of gene regulatory networks, and of electrophysiology and neuronal action potentials. Chapters 3–8 end with optional sections that address more specialized modeling topics. Exercises, solvable with pen-and-paper calculations, appear throughout the text to encourage interaction with the mathematical techniques. More involved end-of-chapter problem sets require computational software. Appendixes provide a review of basic concepts of molecular biology, additional mathematical background material, and tutorials for two computational software packages (XPPAUT and MATLAB) that can be used for model simulation and analysis.

Author: Fabricio Alves Barbosa da Silva
Publisher: Springer Nature
ISBN: 3030518620
Category : Computers
Languages : en
Pages : 381

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Book Description
This book presents a range of current research topics in biological network modeling, as well as its application in studies on human hosts, pathogens, and diseases. Systems biology is a rapidly expanding field that involves the study of biological systems through the mathematical modeling and analysis of large volumes of biological data. Gathering contributions from renowned experts in the field, some of the topics discussed in depth here include networks in systems biology, the computational modeling of multidrug-resistant bacteria, and systems biology of cancer. Given its scope, the book is intended for researchers, advanced students, and practitioners of systems biology. The chapters are research-oriented, and present some of the latest findings on their respective topics.