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This book offers an essential introduction to the latest advances in delayed genetic regulatory networks (GRNs) and presents cutting-edge work on the analysis and design of delayed GRNs in which the system parameters are subject to uncertain, stochastic and/or parameter-varying changes. Specifically, the types examined include delayed switching GRNs, delayed stochastic GRNs, delayed reaction–diffusion GRNs, delayed discrete-time GRNs, etc. In addition, the solvability of stability analysis, control and estimation problems involving delayed GRNs are addressed in terms of linear matrix inequality or M-matrix tests. The book offers a comprehensive reference guide for researchers and practitioners working in system sciences and applied mathematics, and a valuable source of information for senior undergraduates and graduates in these areas. Further, it addresses a gap in the literature by providing a unified and concise framework for the analysis and design of delayed GRNs.
Gene regulatory networks. --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Genetic regulation --- Nucleotide sequence --- Vibration. --- Engineering. --- Vibration, Dynamical Systems, Control. --- Computational Intelligence. --- Construction --- Industrial arts --- Technology --- Cycles --- Mechanics --- Sound --- Dynamical systems. --- Dynamics. --- Computational intelligence. --- Dynamical systems --- Kinetics --- Mathematics --- Mechanics, Analytic --- Force and energy --- Physics --- Statics --- Intelligence, Computational --- Artificial intelligence --- Soft computing
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This brief examines a deterministic, ODE-based model for gene regulatory networks (GRN) that incorporates nonlinearities and time-delayed feedback. An introductory chapter provides some insights into molecular biology and GRNs. The mathematical tools necessary for studying the GRN model are then reviewed, in particular Hill functions and Schwarzian derivatives. One chapter is devoted to the analysis of GRNs under negative feedback with time delays and a special case of a homogenous GRN is considered. Asymptotic stability analysis of GRNs under positive feedback is then considered in a separate chapter, in which conditions leading to bi-stability are derived. Graduate and advanced undergraduate students and researchers in control engineering, applied mathematics, systems biology and synthetic biology will find this brief to be a clear and concise introduction to the modeling and analysis of GRNs.
Mathematics. --- Systems Theory, Control. --- Mathematical and Computational Biology. --- Gene Expression. --- Control, Robotics, Mechatronics. --- Gene expression. --- Systems theory. --- Mathématiques --- Expression génique --- Gene regulatory networks -- Mathematical models. --- Gene regulatory networks. --- Civil & Environmental Engineering --- Engineering & Applied Sciences --- Operations Research --- Gene regulatory networks --- Mathematical models. --- System theory. --- Biomathematics. --- Control engineering. --- Robotics. --- Mechatronics. --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Genetic regulation --- Nucleotide sequence --- Genes --- Expression --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Biology --- Mathematics --- Systems, Theory of --- Systems science --- Science --- Philosophy
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Genomic signal processing (GSP) can be defined as the analysis, processing, and use of genomic signals to gain biological knowledge, and the translation of that knowledge into systems-based applications that can be used to diagnose and treat genetic diseases. Situated at the crossroads of engineering, biology, mathematics, statistics, and computer science, GSP requires the development of both nonlinear dynamical models that adequately represent genomic regulation, and diagnostic and therapeutic tools based on these models. This book facilitates these developments by providing rigorous mathematical definitions and propositions for the main elements of GSP and by paying attention to the validity of models relative to the data. Ilya Shmulevich and Edward Dougherty cover real-world situations and explain their mathematical modeling in relation to systems biology and systems medicine. Genomic Signal Processing makes a major contribution to computational biology, systems biology, and translational genomics by providing a self-contained explanation of the fundamental mathematical issues facing researchers in four areas: classification, clustering, network modeling, and network intervention.
Cellular signal transduction. --- Genetic regulation. --- Genomics --- Signal Transduction --- Gene Expression. --- Gene Regulatory Networks. --- Models, Genetic. --- Models, Statistical. --- Mathematical models. --- genetics. --- Gene regulatory networks. --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Gene expression --- Gene expression regulation --- Gene regulation --- Biosynthesis --- Cellular control mechanisms --- Molecular genetics --- Cellular information transduction --- Information transduction, Cellular --- Signal transduction, Cellular --- Bioenergetics --- Information theory in biology --- Genetic regulation --- Nucleotide sequence --- Genome research --- Genomes --- Regulation --- Research --- Gene Expression --- Models, Genetic --- Models, Statistical
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This book contributes to better understand how lifestyle modulations can effectively halt the emergence and progression of human diseases. The book will allow the reader to gain a better understanding of the mechanisms by which the environment interferes with the bio-molecular regulatory processes underlying the emergence and progression of complex diseases, such as cancer. Focusing on key and early cellular bio-molecular events giving rise to the emergence of degenerative chronic disease, it builds on previous experience on the development of multi-cellular organisms, to propose a mathematical and computer based framework that allows the reader to analyze the complex interplay between bio-molecular processes and the (micro)-environment from an integrative, mechanistic, quantitative and dynamical perspective. Taking the wealth of empirical evidence that exists it will show how to build and analyze models of core regulatory networks involved in the emergence and progression of chronic degenerative diseases, using a bottom-up approach.
Biological models. --- Systems biology. --- Gene regulatory networks --- Physiology. --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Genetic regulation --- Nucleotide sequence --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Models, Biological --- Microbial genetics. --- Microbial genomics. --- Bioinformatics. --- Systems Biology. --- Microbial Genetics and Genomics. --- Mathematical Modeling and Industrial Mathematics. --- Computational Biology/Bioinformatics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Systems biology --- Genomics --- Microbial genetics --- Microorganisms --- Genetics --- Microbiology --- Data processing --- Mathematical models. --- Models, Mathematical --- Simulation methods
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"Biologists now have access to a virtually complete map of all the genes in thehuman genome, and in the genomes of many other species. They are aggressivelyassembling a similarly detailed knowledge of the proteome, the full collection ofproteins encoded by those genes, and the transcriptome, the diverse set of mRNA"--Provided by publisher. "The science of complex biological networks is transforming research in areas ranging from evolutionary biology to medicine. This is the first book on the subject, providing a comprehensive introduction to complex network science and its biological applications. With contributions from key leaders in both network theory and modern cell biology, this book discusses the network science that is increasingly foundational for systems biology and the quantitative understanding of living systems. It surveys studies in the quantitative structure and dynamics of genetic regulatory networks, molecular networks underlying cellular metabolism, and other fundamental biological processes. The book balances empirical studies and theory to give a unified overview of this interdisciplinary science. It is a key introductory text for graduate students and researchers in physics, biology and biochemistry, and presents ideas and techniques from fields outside the reader's own area of specialization"--Provided by publisher.
Cellular control mechanisms. --- Biological systems. --- System analysis. --- Network analysis --- Network science --- Network theory --- Systems analysis --- System theory --- Mathematical optimization --- Biosystems --- Systems, Biological --- Biology --- Systems biology --- Cell regulation --- Biological control systems --- Cell metabolism --- Philosophy --- Gene regulatory networks. --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Genetic regulation --- Nucleotide sequence --- Régulation cellulaire --- Systèmes biologiques --- Systèmes, analyse de --- Régulation cellulaire --- Systèmes biologiques --- Systèmes, analyse de
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Genetic Regulatory Networks (GRNs) in biological organisms are primary engines for cells to enact their engagements with environments, via incessant, continually active coupling. In differentiated multicellular organisms, tremendous complexity has arisen in the course of evolution of life on earth. Engineering and science have so far achieved no working system that can compare with this complexity, depth and scope of organization. Abstracting the dynamics of genetic regulatory control to a computational framework in which artificial GRNs in artificial simulated cells differentiate while connected in a changing topology, it is possible to apply Darwinian evolution in silico to study the capacity of such developmental/differentiated GRNs to evolve. In this volume an evolutionary GRN paradigm is investigated for its evolvability and robustness in models of biological clocks, in simple differentiated multicellularity, and in evolving artificial developing 'organisms' which grow and express an ontogeny starting from a single cell interacting with its environment, eventually including a changing local neighbourhood of other cells. These methods may help us understand the genesis, organization, adaptive plasticity, and evolvability of differentiated biological systems, and may also provide a paradigm for transferring these principles of biology's success to computational and engineering challenges at a scale not previously conceivable.
Gene regulatory networks --- Self-organizing systems --- Engineering & Applied Sciences --- Biology --- Health & Biological Sciences --- Genetics --- Computer Science --- Mathematical models --- Self-organizing systems. --- Mathematical models. --- Learning systems (Automatic control) --- Self-optimizing systems --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Engineering. --- Artificial intelligence. --- Computational intelligence. --- Computational Intelligence. --- Artificial Intelligence (incl. Robotics). --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Simulation methods --- Fifth generation computers --- Neural computers --- Construction --- Industrial arts --- Technology --- Cybernetics --- Intellect --- Learning ability --- Synergetics --- Genetic regulation --- Nucleotide sequence --- Artificial Intelligence.
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Gene regulatory networks play a vital role in organismal development and function by controlling gene expression. With the availability of complete genome sequences, several novel experimental and computational approaches have recently been developed which promise to significantly enhance our ability to comprehensively characterize these regulatory networks by enabling the identification of respectively their genomic or regulatory state components, or the interactions between these two in unprecedented detail. Divided into five convenient sections, Gene Regulatory Networks: Methods and Protocols details how each of these approaches contributes to a more thorough understanding of the composition and function of gene regulatory networks, while providing a comprehensive protocol on how to implement them in the laboratory. Written in the highly successful Methods in Molecular Biology™ series format, chapters contain introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and accessible, Gene Regulatory Networks: Methods and Protocols aims to provide novices and experienced researchers alike with a comprehensive and timely toolkit to study gene regulatory networks from the point of data generation to processing, visualization, and modeling.
Gene expression --- Genetic regulation --- Genetic regulation. --- Genregulation. --- Methode. --- Netzwerk. --- Gene Regulatory Networks --- Gene Expression Regulation --- Gene Expression --- Transcription Factors --- Simulation methods. --- Genetic Processes --- Regulatory Sequences, Nucleic Acid --- Publication Formats --- Proteins --- Publication Characteristics --- Genetic Phenomena --- Base Sequence --- Amino Acids, Peptides, and Proteins --- Genetic Structures --- Phenomena and Processes --- Chemicals and Drugs --- Laboratory Manuals --- Biology --- Health & Biological Sciences --- Biophysics --- Genetics --- Expression Regulation, Gene --- Regulation, Gene Action --- Regulation, Gene Expression --- Gene Action Regulation --- Regulation of Gene Expression --- Expression, Gene --- Expressions, Gene --- Gene Expressions --- Transcription Factor --- Factor, Transcription --- Factors, Transcription --- Gene Module --- Gene Circuits --- Gene Modules --- Gene Networks --- Transcriptional Networks --- Circuit, Gene --- Circuits, Gene --- Gene Circuit --- Gene Network --- Gene Regulatory Network --- Module, Gene --- Modules, Gene --- Network, Gene --- Network, Gene Regulatory --- Network, Transcriptional --- Networks, Gene --- Networks, Gene Regulatory --- Networks, Transcriptional --- Regulatory Network, Gene --- Regulatory Networks, Gene --- Transcriptional Network --- Genetic Structure --- Structure, Genetic --- Structures, Genetic --- DNA Sequences --- DNA Sequence --- Nucleotide Sequence --- RNA Sequence --- Base Sequences --- Nucleotide Sequences --- RNA Sequences --- Sequence, Base --- Sequence, DNA --- Sequence, Nucleotide --- Sequence, RNA --- Sequences, Base --- Sequences, DNA --- Sequences, Nucleotide --- Sequences, RNA --- Genetic Concepts --- Genetic Phenomenon --- Genetic Process --- Concept, Genetic --- Concepts, Genetic --- Genetic Concept --- Phenomena, Genetic --- Phenomenon, Genetic --- Process, Genetic --- Processes, Genetic --- Gene Products, Protein --- Gene Proteins --- Protein Gene Products --- Proteins, Gene --- Region, Regulatory --- Regions, Regulatory --- Regulator Regions, Nucleic Acid --- Regulatory Region --- Regulatory Regions --- Nucleic Acid Regulatory Sequences --- Regulatory Regions, Nucleic Acid (Genetics) --- Genes --- Gene expression regulation --- Gene regulation --- Expression --- Regulation --- Medicine. --- Human genetics. --- Gene expression. --- Biomedicine. --- Human Genetics. --- Gene Expression. --- Heredity, Human --- Human biology --- Physical anthropology --- Clinical sciences --- Medical profession --- Life sciences --- Medical sciences --- Pathology --- Physicians
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In this text, Roger Sansom investigates how gene regulation works and how such a refined but simple system evolved. Sansom describes in detail two frameworks for understanding gene regulation.
Genetic regulation -- Computer simulation. --- Genetic regulation --- Gene regulatory networks --- Biological Evolution --- Genetic Processes --- Regulatory Sequences, Nucleic Acid --- Base Sequence --- Biological Processes --- Genetic Phenomena --- Biological Phenomena --- Genetic Structures --- Phenomena and Processes --- Evolution, Molecular --- Gene Regulatory Networks --- Gene Expression Regulation --- Biology --- Health & Biological Sciences --- Genetics --- Computer simulation --- Computer simulation. --- Gene expression --- Gene expression regulation --- Gene regulation --- Regulation --- Gene regulatory networks. --- Evolution, Molecular. --- Gene Regulatory Networks. --- Gene Expression Regulation. --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Nucleotide sequence --- Expression Regulation, Gene --- Regulation, Gene Action --- Regulation, Gene Expression --- Gene Action Regulation --- Regulation of Gene Expression --- RNAi Therapeutics --- Gene Module --- Gene Circuits --- Gene Modules --- Gene Networks --- Transcriptional Networks --- Circuit, Gene --- Gene Circuit --- Gene Network --- Gene Regulatory Network --- Module, Gene --- Network, Gene --- Network, Gene Regulatory --- Network, Transcriptional --- Networks, Gene --- Networks, Gene Regulatory --- Regulatory Network, Gene --- Regulatory Networks, Gene --- Transcriptional Network --- Protein Interaction Maps --- Genetic Evolution --- Molecular Evolution --- Evolution, Genetic --- Directed Molecular Evolution --- Biosynthesis --- Cellular control mechanisms --- Molecular genetics --- PHILOSOPHY/Philosophy of Science & Technology --- BIOMEDICAL SCIENCES/General
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Biotechnology --- Gene regulatory networks --- Genomics --- Research --- Systems biology --- Genómica --- Gene Regulatory Networks --- Research Support as Topic --- Systems Biology --- Systems Theory --- Government policy --- Investigación --- Genomics. --- Human Genome Project --- Genome --- Computational biology --- Bioinformatics --- Biological systems --- Molecular biology --- Science --- Science research --- Scientific research --- Information services --- Learning and scholarship --- Methodology --- Research teams --- Genome research --- Genomes --- Molecular genetics --- Circuits, Gene --- Gene circuits --- Gene modules --- Gene networks --- Genetic regulatory networks --- GRNs (Gene regulatory networks) --- Modules, Gene --- Networks, Gene regulatory --- Networks, Transcriptional --- Regulatory networks, Gene --- Transcriptional networks --- Genetic regulation --- Nucleotide sequence --- Chemical engineering --- Genetic engineering --- Seventh Framework Programme (European Commission) --- Sixth Framework Programme (European Commission) --- European Commission. --- EU's Framework Programme for Research and Technological Development --- European Community Framework Programme for Research, Technological Development, and Demonstration --- FP6 --- Sixth FP (European Commission) --- 6. RP --- Sechstes Rahmensprogramm (European Commission) --- Sexto Programa Marco (European Commission) --- 6e programme-cadre (European Commission) --- Sixième programme-cadre (European Commission) --- Sesto programma quadro (European Commission) --- Sixth Framework Programme for Research & Technological Development --- Sixth Framework Research Programme (European Commission) --- Sjette rammeprogram for forskning (European Commission) --- Sjette rammeprogrammet (European Commission) --- Zesde kaderprogramma voor onderzoek van de EU --- Zesde kaderprogramma (European Commission) --- Kuudes tutkimuksen puiteohjelma (European Commission) --- Kuudes puiteohjelma (European Commission) --- 6o Programa-Quadro de Investigação da UE --- Sexto Programa-Quadro de Investigação da UE --- Sexto Programma Quadro (European Commission) --- Sjätte ramprogram för forskning (European Commission) --- Sjätte ramprogrammet (European Commission) --- Seventh Framework Programme for Research and Technological Development --- Framework 7 (European Commission) --- Framework Seven (European Commission) --- FP7 --- Seventh Research Framework Programme (European Commission) --- Comparative Genomics --- Comparative Genomic --- Genomic, Comparative --- Genomics, Comparative
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