Computational Modeling Of Genetic And Biochemical Networks

Author : James M. Bower
Publisher : MIT Press
ISBN 13 : 9780262524230
Total Pages : 386 pages
Book Rating : 4.36/5 ( download)

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Download or read book Computational Modeling of Genetic and Biochemical Networks written by James M. Bower and published by MIT Press. This book was released on 2001 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: How new modeling techniques can be used to explore functionally relevant molecular and cellular relationships.

Author : James M. Bower
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.57/5 ( download)

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Download or read book Computational Modeling of Genetic and Biochemical Networks written by James M. Bower and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : James M. Bower
Publisher :
ISBN 13 : 9788180520518
Total Pages : 336 pages
Book Rating : 4.1X/5 ( download)

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Download or read book Computational Modeling Of Genetic And Biochemical Networks written by James M. Bower and published by . This book was released on 2004 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Hamid Bolouri
Publisher : Imperial College Press
ISBN 13 : 1848162200
Total Pages : 341 pages
Book Rating : 4.04/5 ( download)

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Download or read book Computational Modeling of Gene Regulatory Networks written by Hamid Bolouri and published by Imperial College Press. This book was released on 2008 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book serves as an introduction to the myriad computational approaches to gene regulatory modeling and analysis, and is written specifically with experimental biologists in mind. Mathematical jargon is avoided and explanations are given in intuitive terms. In cases where equations are unavoidable, they are derived from first principles or, at the very least, an intuitive description is provided. Extensive examples and a large number of model descriptions are provided for use in both classroom exercises as well as self-guided exploration and learning. As such, the book is ideal for self-learning and also as the basis of a semester-long course for undergraduate and graduate students in molecular biology, bioengineering, genome sciences, or systems biology.

Author : Fabricio Alves Barbosa da Silva
Publisher : Springer Nature
ISBN 13 : 3030518620
Total Pages : 381 pages
Book Rating : 4.22/5 ( download)

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Download or read book Networks in Systems Biology written by Fabricio Alves Barbosa da Silva and published by Springer Nature. This book was released on 2020-10-03 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Ralph-Johan Back
Publisher : Springer
ISBN 13 : 3642041868
Total Pages : 335 pages
Book Rating : 4.60/5 ( download)

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Download or read book Transactions on Computational Systems Biology XI written by Ralph-Johan Back and published by Springer. This book was released on 2009-10-01 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: This issue on Computational Models for Cell Processes is based on a workshop that took place in Turku, Finland, May 2008. The papers span a mix of approaches to systems biology, ranging from quantitative techniques to computing paradigms inspired by biology.

Author : Alpan Raval
Publisher : CRC Press
ISBN 13 : 1420010360
Total Pages : 329 pages
Book Rating : 4.67/5 ( download)

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Download or read book Introduction to Biological Networks written by Alpan Raval and published by CRC Press. This book was released on 2016-04-19 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Author : Corrado Priami
Publisher : Springer Science & Business Media
ISBN 13 : 3540006052
Total Pages : 224 pages
Book Rating : 4.53/5 ( download)

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Download or read book Computational Methods in Systems Biology written by Corrado Priami and published by Springer Science & Business Media. This book was released on 2003-02-07 with total page 224 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rovereto,December2002 CorradoPriami ProgrammeCommitteeofCMSB 2003 CorradoPriami(Chair),UniversityofTrento(Italy), CharlesAu?ray,CNRS,Villejuif(France), CosimaBaldari,Universit`adiSiena(Italy), AlexanderBockmayr,Universit ́eHenriPoincar ́e(France), LucaCardelli,MicrosoftResearchCambridge(UK), VincentDanos,Universit ́eParisVII(France), PierpaoloDegano,Universitad ` iPisa(Italy), Francois ̧ Fages,INRIA,Rocquencourt(France), DrabløsFinn,NorwegianUniversityofScienceandTechnology,Trondheim(N- way), MonikaHeiner,BrandenburgUniversityofTechnologyatCottbus(Germany), InaKoch,UniversityofAppliedSciencesBerlin,(Germany), JohnE.

Author : Liesbet Geris
Publisher : Springer
ISBN 13 : 3319212966
Total Pages : 478 pages
Book Rating : 4.68/5 ( download)

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Download or read book Uncertainty in Biology written by Liesbet Geris and published by Springer. This book was released on 2015-10-26 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational modeling allows to reduce, refine and replace animal experimentation as well as to translate findings obtained in these experiments to the human background. However these biomedical problems are inherently complex with a myriad of influencing factors, which strongly complicates the model building and validation process. This book wants to address four main issues related to the building and validation of computational models of biomedical processes: 1. Modeling establishment under uncertainty 2. Model selection and parameter fitting 3. Sensitivity analysis and model adaptation 4. Model predictions under uncertainty In each of the abovementioned areas, the book discusses a number of key-techniques by means of a general theoretical description followed by one or more practical examples. This book is intended for graduate students and researchers active in the field of computational modeling of biomedical processes who seek to acquaint themselves with the different ways in which to study the parameter space of their model as well as its overall behavior.

Author : Ina Koch
Publisher : Springer Science & Business Media
ISBN 13 : 1849964742
Total Pages : 378 pages
Book Rating : 4.46/5 ( download)

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Download or read book Modeling in Systems Biology written by Ina Koch and published by Springer Science & Business Media. This book was released on 2010-10-21 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: The emerging, multi-disciplinary field of systems biology is devoted to the study of the relationships between various parts of a biological system, and computer modeling plays a vital role in the drive to understand the processes of life from an holistic viewpoint. Advancements in experimental technologies in biology and medicine have generated an enormous amount of biological data on the dependencies and interactions of many different molecular cell processes, fueling the development of numerous computational methods for exploring this data. The mathematical formalism of Petri net theory is able to encompass many of these techniques. This essential text/reference presents a comprehensive overview of cutting-edge research in applications of Petri nets in systems biology, with contributions from an international selection of experts. Those unfamiliar with the field are also provided with a general introduction to systems biology, the foundations of biochemistry, and the basics of Petri net theory. Further chapters address Petri net modeling techniques for building and analyzing biological models, as well as network prediction approaches, before reviewing the applications to networks of different biological classification. Topics and features: investigates the modular, qualitative modeling of regulatory networks using Petri nets, and examines an Hybrid Functional Petri net simulation case study; contains a glossary of the concepts and notation used in the book, in addition to exercises at the end of each chapter; covers the topological analysis of metabolic and regulatory networks, the analysis of models of signaling networks, and the prediction of network structure; provides a biological case study on the conversion of logical networks into Petri nets; discusses discrete modeling, stochastic modeling, fuzzy modeling, dynamic pathway modeling, genetic regulatory network modeling, and quantitative analysis techniques; includes a Foreword by Professor Jens Reich, Professor of Bioinformatics at Humboldt University and Max Delbrück Center for Molecular Medicine in Berlin. This unique guide to the modeling of biochemical systems using Petri net concepts will be of real utility to researchers and students of computational biology, systems biology, bioinformatics, computer science, and biochemistry.