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Handbook of Systems Biology: Concepts and Insights

Handbook of Systems Biology: Concepts and Insights
A Book

by Marian Walhout,Marc Vidal,Job Dekker

  • Publisher : Academic Press
  • Release : 2017-11-13
  • Pages : 552
  • ISBN : 9780128100462
  • Language : En, Es, Fr & De
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This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as the importance of systems biology in human biological research. Technology, being an extremely important aspect of scientific progress overall, and in the creation of new fields in particular, is discussed in 'boxes' within each chapter to relate to appropriate topics. 2013 Honorable Mention for Single Volume Reference in Science from the Association of American Publishers' PROSE Awards Emphasizes the interdisciplinary nature of systems biology with contributions from leaders in a variety of disciplines Includes the latest research developments in human and animal models to assist with translational research Presents biological and computational aspects of the science side-by-side to facilitate collaboration between computational and biological researchers

Handbook of Systems Biology

Handbook of Systems Biology
Concepts and Insights

by Marian Walhout,Marc Vidal,Job Dekker

  • Publisher : Academic Press
  • Release : 2012-12-31
  • Pages : 552
  • ISBN : 012385945X
  • Language : En, Es, Fr & De
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This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as the importance of systems biology in human biological research. Technology, being an extremely important aspect of scientific progress overall, and in the creation of new fields in particular, is discussed in 'boxes' within each chapter to relate to appropriate topics. 2013 Honorable Mention for Single Volume Reference in Science from the Association of American Publishers' PROSE Awards Emphasizes the interdisciplinary nature of systems biology with contributions from leaders in a variety of disciplines Includes the latest research developments in human and animal models to assist with translational research Presents biological and computational aspects of the science side-by-side to facilitate collaboration between computational and biological researchers

Handbook of Research on Systems Biology Applications in Medicine

Handbook of Research on Systems Biology Applications in Medicine
A Book

by Daskalaki, Andriani

  • Publisher : IGI Global
  • Release : 2008-11-30
  • Pages : 982
  • ISBN : 1605660779
  • Language : En, Es, Fr & De
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"This book highlights the use of systems approaches including genomic, cellular, proteomic, metabolomic, bioinformatics, molecular, and biochemical, to address fundamental questions in complex diseases like cancer diabetes but also in ageing"--Provided by publisher.

Handbook of Computational Biology, Second Edition

Handbook of Computational Biology, Second Edition
Three Volume Set

by Srinivas Aluru,Mona Singh

  • Publisher : Chapman and Hall/CRC
  • Release : 2016-01-26
  • Pages : 2406
  • ISBN : 9781439874097
  • Language : En, Es, Fr & De
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Now available as a three-volume set, the second edition of this popular handbook provides expanded coverage of many important topics and recent developments in computational biology. With updates in each chapter, the book incorporates the latest research and applications in systems biology, including next-generation sequencing. The three volumes focus on Computational Genomics, Computational Systems Biology, and Computational Structural Biology.

Handbook of Statistical Systems Biology

Handbook of Statistical Systems Biology
A Book

by Michael Stumpf,David J. Balding,Mark Girolami

  • Publisher : John Wiley & Sons
  • Release : 2011-09-09
  • Pages : 530
  • ISBN : 1119952042
  • Language : En, Es, Fr & De
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Systems Biology is now entering a mature phase in which the key issues are characterising uncertainty and stochastic effects in mathematical models of biological systems. The area is moving towards a full statistical analysis and probabilistic reasoning over the inferences that can be made from mathematical models. This handbook presents a comprehensive guide to the discipline for practitioners and educators, in providing a full and detailed treatment of these important and emerging subjects. Leading experts in systems biology and statistics have come together to provide insight in to the major ideas in the field, and in particular methods of specifying and fitting models, and estimating the unknown parameters. This book: Provides a comprehensive account of inference techniques in systems biology. Introduces classical and Bayesian statistical methods for complex systems. Explores networks and graphical modeling as well as a wide range of statistical models for dynamical systems. Discusses various applications for statistical systems biology, such as gene regulation and signal transduction. Features statistical data analysis on numerous technologies, including metabolic and transcriptomic technologies. Presents an in-depth presentation of reverse engineering approaches. Provides colour illustrations to explain key concepts. This handbook will be a key resource for researchers practising systems biology, and those requiring a comprehensive overview of this important field.

Synthetic Biology Handbook

Synthetic Biology Handbook
A Book

by Darren N. Nesbeth

  • Publisher : CRC Press
  • Release : 2016-04-06
  • Pages : 318
  • ISBN : 1466568488
  • Language : En, Es, Fr & De
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The Synthetic Biology Handbook explains the major goals of the field of synthetic biology and presents the technical details of the latest advances made in achieving those goals. Offering a comprehensive overview of the current areas of focus in synthetic biology, this handbook: Explores the standardisation of classic molecular bioscience approaches Addresses the societal context and potential impacts of synthetic biology Discusses the use of legacy systems as tools for new product development Examines the design and construction of de novo cells and genetic codes Describes computational methods for designing genes and gene networks Thus, the Synthetic Biology Handbook provides an accurate sense of the scope of synthetic biology today. The handbook also affords readers with an opportunity to scrutinize the underlying science and decide for themselves what aspects of synthetic biology are most valuable to their research and practice.

Computational Methods in Systems Biology

Computational Methods in Systems Biology
15th International Conference, CMSB 2017, Darmstadt, Germany, September 27–29, 2017, Proceedings

by Jérôme Feret,Heinz Koeppl

  • Publisher : Springer
  • Release : 2017-10-06
  • Pages : 332
  • ISBN : 3319674714
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 15th International Conference on Computational Methods in Systems Biology, CMSB 2017, held in Darmstadt, Germany, in September 2017. The 15 full papers, 4 tool papers and 4 posters presented together with 1 invited talk were carefully reviewed and selected from 41 regular paper submissions. Topics of interest include formalisms for modeling biological processes; models and their biological applications; frameworks for model verication, validation, analysis, and simulation of biological systems; high-performance computational systems biology and parallel implementations; model inference from experimental data; model integration from biological databases; multi-scale modeling and analysis methods; and computational approaches for synthetic biology.

An Introduction to Computational Systems Biology

An Introduction to Computational Systems Biology
Systems-Level Modelling of Cellular Networks

by Karthik Raman

  • Publisher : CRC Press
  • Release : 2021-05-30
  • Pages : 358
  • ISBN : 0429944527
  • Language : En, Es, Fr & De
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This book delivers a comprehensive and insightful account of applying mathematical modelling approaches to very large biological systems and networks—a fundamental aspect of computational systems biology. The book covers key modelling paradigms in detail, while at the same time retaining a simplicity that will appeal to those from less quantitative fields. Key Features: A hands-on approach to modelling Covers a broad spectrum of modelling, from static networks to dynamic models and constraint-based models Thoughtful exercises to test and enable understanding of concepts State-of-the-art chapters on exciting new developments, like community modelling and biological circuit design Emphasis on coding and software tools for systems biology Companion website featuring lecture videos, figure slides, codes, supplementary exercises, further reading, and appendices: https://ramanlab.github.io/SysBioBook/ An Introduction to Computational Systems Biology: Systems-Level Modelling of Cellular Networks is highly multi-disciplinary and will appeal to biologists, engineers, computer scientists, mathematicians and others.

Hybrid Systems Biology

Hybrid Systems Biology
5th International Workshop, HSB 2016, Grenoble, France, October 20-21, 2016, Proceedings

by Eugenio Cinquemani,Alexandre Donzé

  • Publisher : Springer
  • Release : 2016-10-05
  • Pages : 179
  • ISBN : 3319471511
  • Language : En, Es, Fr & De
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This book constitutes the refereed proceedings of the 5th International Workshop on Hybrid Systems Biology, HSB 2016, held in Grenoble, France, in October 2016. The 11 full papers presented in this book were carefully reviewed and selected from 26 submissions. They were organized and presented in 4 thematic sessions also reflected in this book: model simulation; model analysis; discrete and network modelling; stochastic modelling for biological systems.

Case Studies in Systems Biology

Case Studies in Systems Biology
A Book

by Pavel Kraikivski

  • Publisher : Springer Nature
  • Release : 2021
  • Pages : 129
  • ISBN : 3030677427
  • Language : En, Es, Fr & De
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Handbook of Natural Computing

Handbook of Natural Computing
A Book

by Grzegorz Rozenberg,Thomas Bäck,Joost N. Kok

  • Publisher : Springer
  • Release : 2012-10-17
  • Pages : 2052
  • ISBN : 9783540929116
  • Language : En, Es, Fr & De
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Natural Computing is the field of research that investigates both human-designed computing inspired by nature and computing taking place in nature, i.e., it investigates models and computational techniques inspired by nature and also it investigates phenomena taking place in nature in terms of information processing. Examples of the first strand of research covered by the handbook include neural computation inspired by the functioning of the brain; evolutionary computation inspired by Darwinian evolution of species; cellular automata inspired by intercellular communication; swarm intelligence inspired by the behavior of groups of organisms; artificial immune systems inspired by the natural immune system; artificial life systems inspired by the properties of natural life in general; membrane computing inspired by the compartmentalized ways in which cells process information; and amorphous computing inspired by morphogenesis. Other examples of natural-computing paradigms are molecular computing and quantum computing, where the goal is to replace traditional electronic hardware, e.g., by bioware in molecular computing. In molecular computing, data are encoded as biomolecules and then molecular biology tools are used to transform the data, thus performing computations. In quantum computing, one exploits quantum-mechanical phenomena to perform computations and secure communications more efficiently than classical physics and, hence, traditional hardware allows. The second strand of research covered by the handbook, computation taking place in nature, is represented by investigations into, among others, the computational nature of self-assembly, which lies at the core of nanoscience, the computational nature of developmental processes, the computational nature of biochemical reactions, the computational nature of bacterial communication, the computational nature of brain processes, and the systems biology approach to bionetworks where cellular processes are treated in terms of communication and interaction, and, hence, in terms of computation. We are now witnessing exciting interaction between computer science and the natural sciences. While the natural sciences are rapidly absorbing notions, techniques and methodologies intrinsic to information processing, computer science is adapting and extending its traditional notion of computation, and computational techniques, to account for computation taking place in nature around us. Natural Computing is an important catalyst for this two-way interaction, and this handbook is a major record of this important development.

Network Medicine

Network Medicine
A Book

by Joseph Loscalzo,Albert-László Barabási,Edwin K. Silverman

  • Publisher : Harvard University Press
  • Release : 2017-02-01
  • Pages : 500
  • ISBN : 0674545524
  • Language : En, Es, Fr & De
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Big data, genomics, and quantitative approaches to network-based analysis are combining to advance the frontiers of medicine as never before. With contributions from leading experts, Network Medicine introduces this rapidly evolving field of research, which promises to revolutionize the diagnosis and treatment of human diseases.

Evolutionary Computation in Gene Regulatory Network Research

Evolutionary Computation in Gene Regulatory Network Research
A Book

by Hitoshi Iba,Nasimul Noman

  • Publisher : John Wiley & Sons
  • Release : 2016-02-23
  • Pages : 464
  • ISBN : 1118911512
  • Language : En, Es, Fr & De
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Introducing a handbook for gene regulatory network research using evolutionary computation, with applications for computer scientists, computational and system biologists This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC). The book is organized into four parts that deliver materials in a way equally attractive for a reader with training in computation or biology. Each of these sections, authored by well-known researchers and experienced practitioners, provides the relevant materials for the interested readers. The first part of this book contains an introductory background to the field. The second part presents the EC approaches for analysis and reconstruction of GRN from gene expression data. The third part of this book covers the contemporary advancements in the automatic construction of gene regulatory and reaction networks and gives direction and guidelines for future research. Finally, the last part of this book focuses on applications of GRNs with EC in other fields, such as design, engineering and robotics. • Provides a reference for current and future research in gene regulatory networks (GRN) using evolutionary computation (EC) • Covers sub-domains of GRN research using EC, such as expression profile analysis, reverse engineering, GRN evolution, applications • Contains useful contents for courses in gene regulatory networks, systems biology, computational biology, and synthetic biology • Delivers state-of-the-art research in genetic algorithms, genetic programming, and swarm intelligence Evolutionary Computation in Gene Regulatory Network Research is a reference for researchers and professionals in computer science, systems biology, and bioinformatics, as well as upper undergraduate, graduate, and postgraduate students. Hitoshi Iba is a Professor in the Department of Information and Communication Engineering, Graduate School of Information Science and Technology, at the University of Tokyo, Toyko, Japan. He is an Associate Editor of the IEEE Transactions on Evolutionary Computation and the journal of Genetic Programming and Evolvable Machines. Nasimul Noman is a lecturer in the School of Electrical Engineering and Computer Science at the University of Newcastle, NSW, Australia. From 2002 to 2012 he was a faculty member at the University of Dhaka, Bangladesh. Noman is an Editor of the BioMed Research International journal. His research interests include computational biology, synthetic biology, and bioinformatics.

Stochastic Modelling for Systems Biology, Second Edition

Stochastic Modelling for Systems Biology, Second Edition
A Book

by Darren J. Wilkinson

  • Publisher : CRC Press
  • Release : 2011-11-09
  • Pages : 363
  • ISBN : 1439837767
  • Language : En, Es, Fr & De
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Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Re-written to reflect this modern perspective, this second edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. Keeping with the spirit of the first edition, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. New in the Second Edition All examples have been updated to Systems Biology Markup Language Level 3 All code relating to simulation, analysis, and inference for stochastic kinetic models has been re-written and re-structured in a more modular way An ancillary website provides links, resources, errata, and up-to-date information on installation and use of the associated R package More background material on the theory of Markov processes and stochastic differential equations, providing more substance for mathematically inclined readers Discussion of some of the more advanced concepts relating to stochastic kinetic models, such as random time change representations, Kolmogorov equations, Fokker-Planck equations and the linear noise approximation Simple modelling of "extrinsic" and "intrinsic" noise An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional mathematical detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

Stochastic Modelling for Systems Biology, Third Edition

Stochastic Modelling for Systems Biology, Third Edition
A Book

by Darren J. Wilkinson

  • Publisher : CRC Press
  • Release : 2018-12-07
  • Pages : 384
  • ISBN : 1351000896
  • Language : En, Es, Fr & De
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Since the first edition of Stochastic Modelling for Systems Biology, there have been many interesting developments in the use of "likelihood-free" methods of Bayesian inference for complex stochastic models. Having been thoroughly updated to reflect this, this third edition covers everything necessary for a good appreciation of stochastic kinetic modelling of biological networks in the systems biology context. New methods and applications are included in the book, and the use of R for practical illustration of the algorithms has been greatly extended. There is a brand new chapter on spatially extended systems, and the statistical inference chapter has also been extended with new methods, including approximate Bayesian computation (ABC). Stochastic Modelling for Systems Biology, Third Edition is now supplemented by an additional software library, written in Scala, described in a new appendix to the book. New in the Third Edition New chapter on spatially extended systems, covering the spatial Gillespie algorithm for reaction diffusion master equation models in 1- and 2-d, along with fast approximations based on the spatial chemical Langevin equation Significantly expanded chapter on inference for stochastic kinetic models from data, covering ABC, including ABC-SMC Updated R package, including code relating to all of the new material New R package for parsing SBML models into simulatable stochastic Petri net models New open-source software library, written in Scala, replicating most of the functionality of the R packages in a fast, compiled, strongly typed, functional language Keeping with the spirit of earlier editions, all of the new theory is presented in a very informal and intuitive manner, keeping the text as accessible as possible to the widest possible readership. An effective introduction to the area of stochastic modelling in computational systems biology, this new edition adds additional detail and computational methods that will provide a stronger foundation for the development of more advanced courses in stochastic biological modelling.

Invitation To Generalized Empirical Method: In Philosophy And Science

Invitation To Generalized Empirical Method: In Philosophy And Science
A Book

by Quinn Terrance J

  • Publisher : World Scientific
  • Release : 2016-12-28
  • Pages : 228
  • ISBN : 9813208457
  • Language : En, Es, Fr & De
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Bernard Lonergan identified the need and possibility of what he called "generalized empirical method" in science and philosophy. Implementation will be a future community achievement. The book enters into details of a selection of examples in the sciences and philosophy of science. These are provided not to engage in, or blend the present aim with traditional philosophical debate, but as points of entry to help reveal the possibility and need of balanced empirical method. Taking words of Lonergan: "(Q)uestions of method are practical. So my purpose in these (chapters) is not to demonstrate what is necessary. It is not to forecast what is probable. It is ... to invite you to share in the exploration of a proposal" (Bernard Lonergan, A Third Collection (1985), 114). The main examples are drawn from biochemistry and biology, although heuristics envisioned will include all sciences.

Computational Systems Biology

Computational Systems Biology
A Book

by Srinivas Aluru

  • Publisher : Chapman & Hall/CRC
  • Release : 2014-07-30
  • Pages : 1000
  • ISBN : 9781439874028
  • Language : En, Es, Fr & De
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BIOMAT 2015

BIOMAT 2015
Proceedings of the International Symposium on Mathematical and Computational Biology

by Rubem P Mondaini

  • Publisher : World Scientific
  • Release : 2016-04-28
  • Pages : 412
  • ISBN : 9813141921
  • Language : En, Es, Fr & De
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This is a book of an international series on interdisciplinary topics of the Mathematical and Biological Sciences. The chapters are related to selected papers on the research themes presented at BIOMAT 2015 International Symposium on Mathematical and Computational Biology which was held in the Roorkee Institute of Technology, in Roorkee, Uttarakhand, India, on November 02–06, 2015. The treatment is both pedagogical and advanced in order to motivate research students to fulfill the requirements of professional practitioners. As in other volumes of this series, there are new important results on the interdisciplinary fields of mathematical and biological sciences and comprehensive reviews written by prominent scientific leaders of famous research groups. There are new results based on the state of art research in Population Dynamics, on Pattern Recognition of Biological Phenomena, the Mathematical Modelling of Infectious Diseases, Computational Biology, the Dynamic and Geometric Modelling of Biological Phenomena, the Modelling of Physiological Disorders, the Optimal Control Techniques in Mathematical Modelling of Biological Phenomena, the Hydrodynamics and Elasticity of Cell Tissues and Bacterial Growth and the Mathematical Morphology of Biological Structures. All these contributions are also strongly recommended to professionals from other scientific areas aiming to work on these interdisciplinary fields. Contents:Mathematical Modelling of Infectious Diseases:Network Structure and Enzymatic Evolution in Leishmania Metabolism: A Computational Study (A Subramanian & R R Sarkar)Long-Term Potential of Imperfect Seasonal Flu Vaccine in Presence of Natural Immunity (S Ghosh & J M Heffernan)Impact of Non-Markovian Recovery on Network Epidemics (G Röst, Z Vizi & I Z Kiss)A Modelling Framework for Serotype Replacement in Vaccine-Preventable Diseases (M Kang, A L Espindola, M Laskowski & S M Moghadas)Pattern Recognition of Biological Phenomena:An Integrative Approach for Model Driven Computation of Treatments in Reproductive Medicine (R Ehrig, T Dierkes, S Schäfer, S Röblitz, E Tronci, T Mancini, I Salvo, V Alimguzhin, F Mari, I Melatti, A Massini, B Leeners, T H C Krüger, M Egli, F Ille & B Leeners)The Network Route to Biological Complexity (S J Banerjee, R K Grewal, S Sinha & S Roy)A Systems Biology Approach to Bovine Fertility and Metabolism: Introduction of a Glucose Insulin Model (Julia Plöntzke, M Berg, C Stötzel & S Röblitz)Biographer: Visualization of Graph Theoretical Patterns, Measurements, and Analysis in Mathematical Biology (R Viswanathan, S Liang, Y Yang & J R Jungck)Hydrodynamics and Elasticity of Cell Tissues and Bacterial Growth:Modelling the Early Growth of Stem Cell Tissues (R A Barrio, S Orozco-Fuentes & R Romero-Arias)Non-local Hydrodynamics of Swimming Bacteria and Self-Activated Process (S Roy & R Llinás)Dynamic and Geometric Modelling of Biomolecular Structures:Geometric Analysis of the Conformational features of Protein Structures (M Datt)Computational Biology:Prediction of System States, Robustness and Stability of the Human Wnt Signal Transduction Pathway using Boolean Logic (L Nayak, R K De & A Datta)Entropy Measures and the Statistical Analysis of Protein Family Classification (R P Mondaini & S C de Albuquerque Neto)Clustering Neuraminidase Influenza Protein Sequences (X Li, H Jankowski, S Boonpatcharanon, V Tran, X Wang & J M Heffernan)Optimal Control Techniques in Mathematical Modelling of Biological Phenomena:Optimal Control for Therapeutic Drug Treatment on a Delayed Model Incorporating Immune Response (P Dubey, B Dubey & U S Dubey)Population Dynamics:Bifurcations and Oscilllatory Dynamics in a Tumor Immune Interaction Model (S Khajanchi)On a Nonlinear System Modelling Darwinian Dynamics and the Immune Response to Cancer Evolution (A Bellouquid, M Ch-Chaoui & E de Angelis)Sexual Selection is Not Required: A Mathematical Model of Species with Sexually Differentiated Death Rates (D Wallace, E Dauson, C Pinion & K Hayashi)Models for Two Strains of the Caprine Arthritis Encephalitis Virus Disease (S Collino, E Venturino, L Ferreri, L Bertolotti, S Rosati & M Giacobini)Conservation of Forestry Biomass Introducing Variable Taxation for Harvesting: A Mathematical Model (M Chaudhary, J Dhar & O P Misra)Stability Analysis of a Two Species Competition Model with Fuzzy Initial Conditions: Fuzzy Differential Equation Approach Environment (S Paul, P Bhattacharya & K S Chaudhuri)Modelling Physiological Disorders:Magnetic Resonance Guided High Intensity Focused Ultrasound — Mathematical Modeling of an Innovative, State of the Art Technology for Cancer Therapy (J Murley, J Thangaraj, J Drake, A Waspe & S Sivaloganathan)The Effects of Fibroblasts on Wave Dynamics in a Mathematical Model for Human Ventricular Tissue (A R Nayak & R Pandit)A Simple Logistic Sigmoidal Model Predicts Oxidative Stress Thresholds in Newly Diagnosed Diabetics on Glucose Control Therapy (R Kulkarni) Readership: Undergraduates, graduates, researchers and all practitioners in the interdisciplinary fields of Mathematical Biology, Biological Physics and Mathematical Modelling of Biosystems.

Bio-objects

Bio-objects
Life in the 21st Century

by Niki Vermeulen,Sakari Tamminen,Andrew Webster

  • Publisher : Ashgate Publishing, Ltd.
  • Release : 2012
  • Pages : 226
  • ISBN : 9781409411789
  • Language : En, Es, Fr & De
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Examining a variety of bio-objects in contexts beyond the laboratory, Bio-Objects: Life in the 21st Century explores new ways of thinking about how novel bio-objects enter contemporary life, analysing the manner in which the boundaries between human and animal, organic and non-organic, and being 'alive' and the suspension of living, are questioned, destabilised and in some cases re-established.

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine

Translational Bioinformatics and Systems Biology Methods for Personalized Medicine
A Book

by Qing Yan

  • Publisher : Academic Press
  • Release : 2017-04-18
  • Pages : 182
  • ISBN : 0128043881
  • Language : En, Es, Fr & De
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Translational Bioinformatics and Systems Biology Methods for Personalized Medicine introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine. Through the description of important cutting-edge technologies in bioinformatics and systems biology, readers may gain an essential understanding of state-of-the-art methodologies. The book discusses topics such as the challenges and tasks in translational bioinformatics; pharmacogenomics, systems biology, and personalized medicine; and the applicability of translational bioinformatics for biomarker discovery, epigenomics, and molecular dynamics. It also discusses data integration and mining, immunoinformatics, and neuroinformatics. With broad coverage of both basic scientific and clinical applications, this book is suitable for a wide range of readers who may not be scientists but who are also interested in the practice of personalized medicine. Introduces integrative approaches in translational bioinformatics and systems biology to support the practice of personalized, precision, predictive, preventive, and participatory medicine Presents a problem-solving oriented methodology to deal with practical problems in various applications Covers both basic scientific and clinical applications in order to enhance the collaboration between researchers and clinicians Brings integrative and multidisciplinary approaches to bridge the gaps among various knowledge domains in the field