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Author : James M. Bower
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (176 download)
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 : MIT Press
ISBN 13 : 9780262524230
Total Pages : 386 pages
Book Rating : 4.5/5 (242 download)
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 : 9788180520518
Total Pages : 336 pages
Book Rating : 4.5/5 (25 download)
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 : 4.8/5 (481 download)
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 : 4.0/5 (35 download)
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 : 4.6/5 (42 download)
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 : 4.4/5 (2 download)
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 : Ivan V. Maly
Publisher : Humana Press
ISBN 13 : 9781934115640
Total Pages : 500 pages
Book Rating : 4.1/5 (156 download)
Download or read book Systems Biology written by Ivan V. Maly and published by Humana Press. This book was released on 2009-03-26 with total page 500 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapidly developing methods of systems biology can help investigators in various areas of modern biomedical research to make inference and predictions from their data that intuition alone would not discern. Many of these methods, however, are commonly perceived as esoteric and inaccessible to biomedical researchers: Even evaluating their applicability to the problem at hand seems to require from the biologist a broad kno- edge of mathematics or engineering. This book is written by scientists who do possess such knowledge, who have successfully applied it to biological problems in various c- texts, and who found that their experience can be crystallized in a form very similar to a typical biological laboratory protocol. Learning a new laboratory procedure may at first appear formidable, and the int- ested researchers may be unsure whether their problem falls within the area of applicability of the new technique. The researchers will rely on the experience of others who have condensed it into a methods paper, with the theory behind the method, its step-by-step implementation, and the pitfalls explained thoroughly and from the practical angle. It is the intention of the authors of this book to make the methods of systems biology widely understood by biomedical researchers by explaining them in the same proven format of a protocol article.
Author : Seiya Imoto
Publisher : Elsevier Inc. Chapters
ISBN 13 : 0128070072
Total Pages : 548 pages
Book Rating : 4.1/5 (28 download)
Download or read book Computational Systems Biology written by Seiya Imoto and published by Elsevier Inc. Chapters. This book was released on 2013-11-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: This chapter describes the computational methods for estimating, modeling, and simulating biological systems. It also presents two approaches to understand biological systems and describes a method and a software tool developed by our research group. Bayesian network is a mathematical model for representing causal relationships among random variables by using conditional probabilities. The conditional probabilities describe the parent-child relationships and can be viewed as an extension of the deterministic models like Boolean networks. This model is suited for modeling qualitative relations between genes and allows mathematical and algorithmic analyses. We also devised a method to infer a gene network in terms of a linear system of differential equations from time-course gene expression data. A software tool is developed based on Petri net to modeling and simulation of gene networks. With this software tool, various models have been constructed and its utility has been demonstrated in practice.
Author : Julien Delile
Publisher : Elsevier Inc. Chapters
ISBN 13 : 012807017X
Total Pages : 548 pages
Book Rating : 4.1/5 (28 download)
Download or read book Computational Systems Biology written by Julien Delile and published by Elsevier Inc. Chapters. This book was released on 2013-11-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: We propose a theoretical, yet realistic agent-based model and simulation platform of animal embryogenesis, called MecaGen, centered on the physico-chemical coupling of cell mechanics with gene expression and molecular signaling. This project aims to investigate the multiscale dynamics of the early stages of biological morphogenesis. Here, embryonic development is viewed as an emergent, self-organized phenomenon based on a myriad of cells and their genetically regulated, and regulating, biomechanical behavior. Cells’ mechanical properties (such as division rate, adhesion strength, or intrinsic motility) are closely correlated with their spatial location and temporal state of genetic and molecular dynamics (such as internal protein and external ligand concentrations) and affect each other concurrently. In a second part, we illustrate our model on artificial data (gene regulation motifs and cell sorting), then demonstrate a customization and application to a real biological case study in the zebrafish early development. We use as an example the episode of intercalation patterns appearing during the first phase of epiboly and the movements of the deep cells between the yolk and the enveloping layer. A domain of the model’s multidimensional parameter space is explored systematically, while experimental data obtained from microscopy imaging of live embryos is used to measure the “fitness” of the virtual embryo and validate our hypotheses.
Author : Reinhard Laubenbacher
Publisher : Elsevier Inc. Chapters
ISBN 13 : 0128070129
Total Pages : 548 pages
Book Rating : 4.1/5 (28 download)
Download or read book Computational Systems Biology written by Reinhard Laubenbacher and published by Elsevier Inc. Chapters. This book was released on 2013-11-26 with total page 548 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematical and statistical network modeling is an important step toward uncovering the organizational principles and dynamic behavior of biological networks. This chapter focuses on methods to construct discrete dynamic models of gene regulatory networks from experimental data sets, also sometimes referred to as top-down modeling or reverse engineering. Time-discrete dynamical systems models have long been used in biology, particularly in population dynamics. The models mainly focused on here are also assumed to have a finite set of possible states for each variable. That is, the modeling framework discussed in this chapter is that of time-discrete dynamical systems over a finite state set.
Author : Xiaobo Zhou
Publisher : World Scientific
ISBN 13 : 9812707042
Total Pages : 398 pages
Book Rating : 4.8/5 (127 download)
Download or read book Computational Systems Bioinformatics written by Xiaobo Zhou and published by World Scientific. This book was released on 2008 with total page 398 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields. This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.
Author : Corrado Priami
Publisher : Springer Science & Business Media
ISBN 13 : 3540006052
Total Pages : 224 pages
Book Rating : 4.5/5 (4 download)
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 : Andres Kriete
Publisher : Elsevier
ISBN 13 : 9780080459349
Total Pages : 424 pages
Book Rating : 4.4/5 (593 download)
Download or read book Computational Systems Biology written by Andres Kriete and published by Elsevier. This book was released on 2005-11-10 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Biology is concerned with the quantitative study of complex biosystems at the molecular, cellular, tissue, and systems scales. Its focus is on the function of the system as a whole, rather than on individual parts. This exciting new arena applies mathematical modeling and engineering methods to the study of biological systems. This book is the first of its kind to focus on the newly emerging field of systems biology with an emphasis on computational approaches. The work covers new concepts, methods for information storage, mining and knowledge extraction, reverse engineering of gene and metabolic networks, as well as modelling and simulation of multi-cellular systems. Central themes include strategies for predicting biological properties and methods for elucidating structure-function relationships.
Author : Ina Koch
Publisher : Springer Science & Business Media
ISBN 13 : 1849964742
Total Pages : 378 pages
Book Rating : 4.8/5 (499 download)
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.
Author : Liesbet Geris
Publisher : Springer
ISBN 13 : 3319212966
Total Pages : 478 pages
Book Rating : 4.3/5 (192 download)
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 : Wong Stephen Tin Chi
Publisher : World Scientific Publishing Company
ISBN 13 : 9813106999
Total Pages : 400 pages
Book Rating : 4.8/5 (131 download)
Download or read book Computational Systems Bioinformatics - Methods And Biomedical Applications written by Wong Stephen Tin Chi and published by World Scientific Publishing Company. This book was released on 2008-01-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational systems biology is a new and rapidly developing field of research, concerned with understanding the structure and processes of biological systems at the molecular, cellular, tissue, and organ levels through computational modeling as well as novel information theoretic data and image analysis methods. By focusing on either information processing of biological data or on modeling physical and chemical processes of biosystems, and in combination with the recent breakthrough in deciphering the human genome, computational systems biology is guaranteed to play a central role in disease prediction and preventive medicine, gene technology and pharmaceuticals, and other biotechnology fields.This book begins by introducing the basic mathematical, statistical, and data mining principles of computational systems biology, and then presents bioinformatics technology in microarray and sequence analysis step-by-step. Offering an insightful look into the effectiveness of the systems approach in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.
