System Modeling in Cellular Biology

Author: Zoltan Szallasi
Publisher: MIT Press (MA)
ISBN: 9780262514224
Format: PDF, ePub
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An introduction and overview of system modeling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry.

System Modeling in Cell Biology

Author: Zoltan Szallasi
Publisher: MIT Press (MA)
ISBN: 9780262195485
Format: PDF, Mobi
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An introduction and overview of system modeling in biology that is accessible to researchers from different fields, including biology, computer science, mathematics, statistics, physics, and biochemistry.

A Systems Theoretic Approach to Systems and Synthetic Biology I Models and System Characterizations

Author: Vishwesh Kulkarni
Publisher: Springer
ISBN: 9401790418
Format: PDF, Kindle
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The complexity of biological systems has intrigued scientists from many disciplines and has given birth to the highly influential field of systems biology wherein a wide array of mathematical techniques, such as flux balance analysis, and technology platforms, such as next generation sequencing, is used to understand, elucidate, and predict the functions of complex biological systems. More recently, the field of synthetic biology, i.e., de novo engineering of biological systems, has emerged. Scientists from various fields are focusing on how to render this engineering process more predictable, reliable, scalable, affordable, and easy. Systems and control theory is a branch of engineering and applied sciences that rigorously deals with the complexities and uncertainties of interconnected systems with the objective of characterising fundamental systemic properties such as stability, robustness, communication capacity, and other performance metrics. Systems and control theory also strives to offer concepts and methods that facilitate the design of systems with rigorous guarantees on these properties. Over the last 100 years, it has made stellar theoretical and technological contributions in diverse fields such as aerospace, telecommunication, storage, automotive, power systems, and others. Can it have, or evolve to have, a similar impact in biology? The chapters in this book demonstrate that, indeed, systems and control theoretic concepts and techniques can have a significant impact in systems and synthetic biology. Volume I provides a panoramic view that illustrates the potential of such mathematical methods in systems and synthetic biology. Recent advances in systems and synthetic biology have clearly demonstrated the benefits of a rigorous and systematic approach rooted in the principles of systems and control theory - not only does it lead to exciting insights and discoveries but it also reduces the inordinately lengthy trial-and-error process of wet-lab experimentation, thereby facilitating significant savings in human and financial resources. In Volume I, some of the leading researchers in the field of systems and synthetic biology demonstrate how systems and control theoretic concepts and techniques can be useful, or should evolve to be useful, in order to understand how biological systems function. As the eminent computer scientist Donald Knuth put it, "biology easily has 500 years of exciting problems to work on". This edited book presents but a small fraction of those for the benefit of (1) systems and control theorists interested in molecular and cellular biology and (2) biologists interested in rigorous modelling, analysis and control of biological systems.

Systems Biology in Psychiatric Research

Author: Felix Tretter
Publisher: John Wiley & Sons
ISBN: 9783527630288
Format: PDF, Docs
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This first book to provide a comprehensive overview of the recent progress made in this break-through approach includes expert contributions from a variety of disciplines. Particular focus is placed on high-throughput methods and the analysis of data thus obtained, as well as their use in silico experiments so as to gain an insight into the complex biological processes in neuronal systems. A must-have for everyone working in psychiatric research.

Systems Biology and Synthetic Biology

Author: Pengcheng Fu
Publisher: John Wiley & Sons
ISBN: 9780470437971
Format: PDF, Kindle
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The genomic revolution has opened up systematic investigations and engineering designs for various life forms. Systems biology and synthetic biology are emerging as two complementary approaches, which embody the breakthrough in biology and invite application of engineering principles. Systems Biology and Synthetic Biology emphasizes the similarity between biology and engineering at the system level, which is important for applying systems and engineering theories to biology problems. This book demonstrates to students, researchers, and industry that systems biology relies on synthetic biology technologies to study biological systems, while synthetic biology depends on knowledge obtained from systems biology approaches.

Design Nature IV

Author: C. A. Brebbia
Publisher: WIT Press
ISBN: 1845641205
Format: PDF, Mobi
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Design in engineering and science has often been inspired by nature. This has been more evident in recent years, after a period during which our civilization thought in terms of taming rather than working in harmony with nature. The consequences of that approach are still with us and have resulted in a world increasingly homogenized, lacking in biodiversity and with increased pollution. Mankind has been slow to learn and even slower to apply the lessons that nature offers, in spite of the urgency of our predicament. This book contains papers presented at the fourth International Conference on Comparing Design in Nature with Science and Engineering . The emphasis of this Volume is on engineering and architectural applications and on biomimetics, reflecting in some measure current interest in finding environmentally friendly solutions which also optimize the use of natural resources. The contributions have been arranged into the following topics: Biomimetics; Shape and Form in Engineering Nature; Nature and Architectural Design; Natural Materials and Surfaces; Complexity; and Education.

Springer Handbook of Automation

Author: Shimon Y. Nof
Publisher: Springer Science & Business Media
ISBN: 354078831X
Format: PDF, ePub, Docs
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This handbook incorporates new developments in automation. It also presents a widespread and well-structured conglomeration of new emerging application areas, such as medical systems and health, transportation, security and maintenance, service, construction and retail as well as production or logistics. The handbook is not only an ideal resource for automation experts but also for people new to this expanding field.

Systems Biology

Author: Edda Klipp
Publisher: John Wiley & Sons
ISBN: 3527336362
Format: PDF, ePub, Docs
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This advanced textbook is tailored for an introductory course in Systems Biology and is well-suited for biologists as well as engineers and computer scientists. It comes with student-friendly reading lists and a companion website featuring a short exam prep version of the book and educational modeling programs. The text is written in an easily accessible style and includes numerous worked examples and study questions in each chapter. For this edition, a section on medical systems biology has been included.

Stochastic Modelling for Systems Biology Second Edition

Author: Darren J. Wilkinson
Publisher: CRC Press
ISBN: 1439837724
Format: PDF, Kindle
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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.