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Life: An Introduction to Complex Systems Biology

Life: An Introduction to Complex Systems Biology
Author: Kunihiko Kaneko
Publisher: Springer
Total Pages: 374
Release: 2006-09-14
Genre: Science
ISBN: 3540326677
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This book examines life not from the reductionist point of view, but rather asks the questions: what are the universal properties of living systems, and how can one construct from there a phenomenological theory of life that leads naturally to complex processes such as reproductive cellular systems, evolution and differentiation? The presentation is relatively non-technical to appeal to a broad spectrum of students and researchers.

Systems Biology: Understanding Complex Biological Systems

Systems Biology: Understanding Complex Biological Systems
Author: Lynda Feidan
Publisher:
Total Pages: 229
Release: 2019-06-10
Genre:
ISBN: 9781682867617
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The field of systems biology provides a computational and mathematical framework for the study of complex biological systems. It involves the study of interactions within biological systems. It strives to model and explore properties of cells, tissues and organisms functioning as a system. Such investigations involve cell signaling networks or metabolic networks. The study of these diverse complex systems can be approached from the multiple domains of phenomics, epigenomics, transcriptomics, metabolomics, etc. The topics included in this book on systems biology are of utmost significance and bound to provide incredible insights to readers. While understanding the long-term perspectives of the topics, it makes an effort in highlighting their impact as a modern tool for the growth of the discipline. Students, researchers, experts, biologists and all associated with the study of complex biological systems will benefit alike from this book.

An Introduction to Systems Biology

An Introduction to Systems Biology
Author: Uri Alon
Publisher: CRC Press
Total Pages: 324
Release: 2006-07-07
Genre: Mathematics
ISBN: 1584886420
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Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The textavoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models.

Understanding the Dynamics of Biological Systems

Understanding the Dynamics of Biological Systems
Author: Werner Dubitzky
Publisher: Springer Science & Business Media
Total Pages: 249
Release: 2011-01-07
Genre: Science
ISBN: 1441979646
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This book is intended as a communication platform to bridge the cultural, conceptual, and technological gap among the key systems biology disciplines of biology, mathematics, and information technology. To support this goal, contributors were asked to adopts an approach that appeals to audiences from different backgrounds.

Elements of Computational Systems Biology

Elements of Computational Systems Biology
Author: Huma M. Lodhi
Publisher: John Wiley & Sons
Total Pages: 435
Release: 2010-03-25
Genre: Computers
ISBN: 0470556749
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Groundbreaking, long-ranging research in this emergent field that enables solutions to complex biological problems Computational systems biology is an emerging discipline that is evolving quickly due to recent advances in biology such as genome sequencing, high-throughput technologies, and the recent development of sophisticated computational methodologies. Elements of Computational Systems Biology is a comprehensive reference covering the computational frameworks and techniques needed to help research scientists and professionals in computer science, biology, chemistry, pharmaceutical science, and physics solve complex biological problems. Written by leading experts in the field, this practical resource gives detailed descriptions of core subjects, including biological network modeling, analysis, and inference; presents a measured introduction to foundational topics like genomics; and describes state-of-the-art software tools for systems biology. Offers a coordinated integrated systems view of defining and applying computational and mathematical tools and methods to solving problems in systems biology Chapters provide a multidisciplinary approach and range from analysis, modeling, prediction, reasoning, inference, and exploration of biological systems to the implications of computational systems biology on drug design and medicine Helps reduce the gap between mathematics and biology by presenting chapters on mathematical models of biological systems Establishes solutions in computer science, biology, chemistry, and physics by presenting an in-depth description of computational methodologies for systems biology Elements of Computational Systems Biology is intended for academic/industry researchers and scientists in computer science, biology, mathematics, chemistry, physics, biotechnology, and pharmaceutical science. It is also accessible to undergraduate and graduate students in machine learning, data mining, bioinformatics, computational biology, and systems biology courses.

A First Course in Systems Biology

A First Course in Systems Biology
Author: Eberhard Voit
Publisher: Garland Science
Total Pages: 480
Release: 2017-09-05
Genre: Computers
ISBN: 1351332945
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A First Course in Systems Biology is an introduction for advanced undergraduate and graduate students to the growing field of systems biology. Its main focus is the development of computational models and their applications to diverse biological systems. The book begins with the fundamentals of modeling, then reviews features of the molecular inventories that bring biological systems to life and discusses case studies that represent some of the frontiers in systems biology and synthetic biology. In this way, it provides the reader with a comprehensive background and access to methods for executing standard systems biology tasks, understanding the modern literature, and launching into specialized courses or projects that address biological questions using theoretical and computational means. New topics in this edition include: default modules for model design, limit cycles and chaos, parameter estimation in Excel, model representations of gene regulation through transcription factors, derivation of the Michaelis-Menten rate law from the original conceptual model, different types of inhibition, hysteresis, a model of differentiation, system adaptation to persistent signals, nonlinear nullclines, PBPK models, and elementary modes. The format is a combination of instructional text and references to primary literature, complemented by sets of small-scale exercises that enable hands-on experience, and large-scale, often open-ended questions for further reflection.

Understanding Complex Biological Systems with Mathematics

Understanding Complex Biological Systems with Mathematics
Author: Ami Radunskaya
Publisher: Springer
Total Pages: 198
Release: 2018-10-24
Genre: Mathematics
ISBN: 3319980831
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This volume examines a variety of biological and medical problems using mathematical models to understand complex system dynamics. Featured topics include autism spectrum disorder, ectoparasites and allogrooming, argasid ticks dynamics, super-fast nematocyst firing, cancer-immune population dynamics, and the spread of disease through populations. Applications are investigated with mathematical models using a variety of techniques in ordinary and partial differential equations, difference equations, Markov-chain models, Monte-Carlo simulations, network theory, image analysis, and immersed boundary method. Each article offers a thorough explanation of the methodologies used and numerous tables and color illustrations to explain key results. This volume is suitable for graduate students and researchers interested in current applications of mathematical models in the biosciences. The research featured in this volume began among newly-formed collaborative groups at the 2017 Women Advancing Mathematical Biology Workshop that took place at the Mathematical Biosciences Institute in Columbus, Ohio. The groups spent one intensive week working at MBI and continued their collaborations after the workshop, resulting in the work presented in this volume.

Encyclopedia of Systems Biology

Encyclopedia of Systems Biology
Author: Werner Dubitzky
Publisher: Springer
Total Pages: 0
Release: 2013-06-05
Genre: Science
ISBN: 9781441998620
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Systems biology refers to the quantitative analysis of the dynamic interactions among several components of a biological system and aims to understand the behavior of the system as a whole. Systems biology involves the development and application of systems theory concepts for the study of complex biological systems through iteration over mathematical modeling, computational simulation and biological experimentation. Systems biology could be viewed as a tool to increase our understanding of biological systems, to develop more directed experiments, and to allow accurate predictions. The Encyclopedia of Systems Biology is conceived as a comprehensive reference work covering all aspects of systems biology, in particular the investigation of living matter involving a tight coupling of biological experimentation, mathematical modeling and computational analysis and simulation. The main goal of the Encyclopedia is to provide a complete reference of established knowledge in systems biology – a ‘one-stop shop’ for someone seeking information on key concepts of systems biology. As a result, the Encyclopedia comprises a broad range of topics relevant in the context of systems biology. The audience targeted by the Encyclopedia includes researchers, developers, teachers, students and practitioners who are interested or working in the field of systems biology. Keeping in mind the varying needs of the potential readership, we have structured and presented the content in a way that is accessible to readers from wide range of backgrounds. In contrast to encyclopedic online resources, which often rely on the general public to author their content, a key consideration in the development of the Encyclopedia of Systems Biology was to have subject matter experts define the concepts and subjects of systems biology.

Life: An Introduction to Complex Systems Biology

Life: An Introduction to Complex Systems Biology
Author: Kunihiko Kaneko
Publisher: Springer
Total Pages: 0
Release: 2006-08-03
Genre: Science
ISBN: 9783540326663
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What is life? What type of system is life? How can we understand life? Or what does “understanding life” really mean? Sixty years since the publication of What Is Life? by Schrodinger ̈ and after the rise and success of molecular biology, have we reached the answer to these questions? In the recent years, I have often been asked by young researchers and students in biology: “I am afraid that such basic questions on a life system itself are not answered by the main-stream approach of c- rent biology that elucidates molecules and genes. We need some alternative approach. WhatamItodo?”Theyaresatis?edneitherwiththecurrenttrend in bioinformatics nor with the detailed computer models, and are striving for a framework complementary to molecular biology, a one that does not rely on enumerative approach. Responding to these voices, I have explained approaches my colleagues and I have been taking both theoretically and experimentally, in lectures and seminars. Although they show much interest, introduction of these rather interdisciplinary style of research is not easy, let alone discussing how we can understand life. Of course they ask for some books that describe a theoretical basis of our approach and the summaries of the recent studies. My desire to answer these requests from the students and researchers was the main force that had driven me to write the present book. On the other hand, those working in nonlinear dynamics and theoretical physicshavestrivedtosetupanoveltheoreticalframeworkthatiscompatible with biological systems.