Big Mechanisms in Systems Biology

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  • Publisher : Academic Press
  • Release : 25 October 2016
  • ISBN : 9780128097076
  • Page : 878 pages
  • Rating : 4.5/5 from 103 voters

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Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system immunity, regulation, infection, aging, evolution, and carcinogenesis, which are complicated biological systems with inconsistent findings in existing resources. These inconsistencies may reflect the underlying biology time-varying systems and signal transduction events that are often context-dependent, which raises a significant problem for mechanistic modeling since it is not clear which genes/proteins to include in models or experimental measurements. The book is a valuable resource for bioinformaticians and members of several areas of the biomedical field who are interested in an in-depth understanding on how to process and apply great amounts of biological data to improve research. Written in a didactic manner in order to explain how to investigate Big Mechanisms by big data mining and system identification Provides more than 140 diagrams to illustrate Big Mechanism in systems biology Presents worked examples in each chapter

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Big Mechanisms in Systems Biology

Big Mechanisms in Systems Biology
  • Author : Bor-Sen Chen,Cheng-Wei Li
  • Publisher : Academic Press
  • Release Date : 2016-10-25
  • ISBN : 9780128097076
GET THIS BOOKBig Mechanisms in Systems Biology

Big Mechanisms in Systems Biology: Big Data Mining, Network Modeling, and Genome-Wide Data Identification explains big mechanisms of systems biology by system identification and big data mining methods using models of biological systems. Systems biology is currently undergoing revolutionary changes in response to the integration of powerful technologies. Faced with a large volume of available literature, complicated mechanisms, small prior knowledge, few classes on the topics, and causal and mechanistic language, this is an ideal resource. This book addresses system

Molecular Mechanisms of Autonomy in Biological Systems

Molecular Mechanisms of Autonomy in Biological Systems
  • Author : Tara Karimi
  • Publisher : Springer
  • Release Date : 2018-07-28
  • ISBN : 9783319918242
GET THIS BOOKMolecular Mechanisms of Autonomy in Biological Systems

This book presents a novel molecular description for understanding the regulatory mechanisms behind the autonomy and self-organization in biological systems. Chapters focus on defining and explaining the regulatory molecular mechanisms behind different aspects of autonomy and self-organization in the sense of autonomous coding, data processing, structure (mass) formation and energy production in a biological system. Subsequent chapters discuss the cross-talk among mechanisms of energy, and mass and information, transformation in biological systems. Other chapters focus on applications regarding therapeutic approaches

Case Studies in Systems Biology

Case Studies in Systems Biology
  • Author : Pavel Kraikivski
  • Publisher : Springer Nature
  • Release Date : 2021-10-06
  • ISBN : 9783030677428
GET THIS BOOKCase Studies in Systems Biology

This book provides case studies that can be used in Systems Biology related classes. Each case study has the same structure which answers the following questions: What is the biological problem and why is it interesting? What are the relevant details with regard to cell physiology and molecular mechanisms? How are the details put together into a mathematical model? How is the model analyzed and simulated? What are the results of the model? How do they compare to the known

Systems Cancer Biology

Systems Cancer Biology
  • Author : Bor-Sen Chen
  • Publisher : Cambridge Scholars Publishing
  • Release Date : 2021-07-13
  • ISBN : 9781527572348
GET THIS BOOKSystems Cancer Biology

Cancer is a complex and heterogeneous (systematic) disease that exhibits high levels of robustness against various therapeutic interventions. Due to the complex, heterogeneous, and evolving nature of cancer, it is essential for a system-oriented view to be adopted in order to understand the pathogenic mechanism of cancer which will eventually lead to the drug discovery and treatment of patients. This book not only provides new insights from system modeling and large scale experimental data, but also will allow the reader

Systems Biology

Systems Biology
  • Author : Dimitrios Vlachakis
  • Publisher : BoD – Books on Demand
  • Release Date : 2019-06-19
  • ISBN : 9781838808037
GET THIS BOOKSystems Biology

Systems biology is the inevitable outcome of long years of knowledge acquisition and data accumulation. The aim of systems biology is to integrate in a seamless way all existing knowledge in interconnected disciplines, stretching from modern biomedical research to physics, chemistry, and mathematics. The main integration tool of such complex biomedical systems is via computational and mathematical modeling. In this direction, a series of state-of-the-art computer science techniques are used, namely, data mining and fusion, machine learning, and deep learning

Systems Immunology and Infection Microbiology

Systems Immunology and Infection Microbiology
  • Author : Bor-Sen Chen
  • Publisher : Academic Press
  • Release Date : 2021-03-16
  • ISBN : 9780128173350
GET THIS BOOKSystems Immunology and Infection Microbiology

Systems Immunology and Infection Microbiology provides a large amount of biological system models, diagrams and flowcharts to illustrate development procedures and help users understand the results of systems immunology and infection microbiology. Chapters discuss systems immunology, systems infection microbiology, systematic inflammation and immune responses in restoration and regeneration process, systems' innate and adaptive immunity in infection process, systematic genetic and epigenetic pathogenic/defensive mechanism during bacterial infection on human cells is introduced, and the systematic genetic and epigenetic pathogenic/defensive

Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer

Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer
  • Author : Osbaldo Resendis-Antonio,Christian Diener
  • Publisher : Frontiers Media SA
  • Release Date : 2017-11-23
  • ISBN : 9782889453337
GET THIS BOOKSystems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer

Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous,

Computational Systems Biology in Medicine and Biotechnology

Computational Systems Biology in Medicine and Biotechnology
  • Author : Sonia Cortassa,Miguel A. Aon
  • Publisher : Springer Nature
  • Release Date : 2022-05-23
  • ISBN : 9781071618318
GET THIS BOOKComputational Systems Biology in Medicine and Biotechnology

This volume addresses the latest state-of-the-art systems biology-oriented approaches that--driven by big data and bioinformatics--are utilized by Computational Systems Biology, an interdisciplinary field that bridges experimental tools with computational tools to tackle complex questions at the frontiers of knowledge in medicine and biotechnology. The chapters in this book are organized into six parts: systems biology of the genome, epigenome, and redox proteome; metabolic networks; aging and longevity; systems biology of diseases; spatiotemporal patterns of rhythms, morphogenesis, and complex dynamics; and

Bioinformatics in the Era of Post Genomics and Big Data

Bioinformatics in the Era of Post Genomics and Big Data
  • Author : Ibrokhim Y. Abdurakhmonov
  • Publisher : BoD – Books on Demand
  • Release Date : 2018-06-20
  • ISBN : 9781789232684
GET THIS BOOKBioinformatics in the Era of Post Genomics and Big Data

Bioinformatics has evolved significantly in the era of post genomics and big data. Huge advancements were made toward storing, handling, mining, comparing, extracting, clustering and analysis as well as visualization of big macromolecular data using novel computational approaches, machine and deep learning methods, and web-based server tools. There are extensively ongoing world-wide efforts to build the resources for regional hosting, organized and structured access and improving the pre-existing bioinformatics tools to efficiently and meaningfully analyze day-to-day increasing big data. This

Data-Driven Innovation Big Data for Growth and Well-Being

Data-Driven Innovation Big Data for Growth and Well-Being
  • Author : OECD
  • Publisher : OECD Publishing
  • Release Date : 2015-10-06
  • ISBN : 9789264229358
GET THIS BOOKData-Driven Innovation Big Data for Growth and Well-Being

This report improves the evidence base on the role of Data Driven Innovation for promoting growth and well-being, and provide policy guidance on how to maximise the benefits of DDI and mitigate the associated economic and societal risks.

Computational Methods in Systems Biology

Computational Methods in Systems Biology
  • Author : Jérôme Feret,Heinz Koeppl
  • Publisher : Springer
  • Release Date : 2017-09-18
  • ISBN : 9783319674711
GET THIS BOOKComputational Methods in Systems Biology

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

Systems Biology of Cancer

Systems Biology of Cancer
  • Author : Sam Thiagalingam
  • Publisher : Cambridge University Press
  • Release Date : 2015-04-09
  • ISBN : 9780521493390
GET THIS BOOKSystems Biology of Cancer

An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Handbook of Systems Biology

Handbook of Systems Biology
  • Author : Marian Walhout,Marc Vidal,Job Dekker
  • Publisher : Academic Press
  • Release Date : 2012-12-31
  • ISBN : 9780123859457
GET THIS BOOKHandbook of Systems Biology

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

Systems Biology

Systems Biology
  • Author : Lilia Alberghina,Hans V. Westerhoff
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-10-04
  • ISBN : 3540742697
GET THIS BOOKSystems Biology

For life to be understood and disease to become manageable, the wealth of postgenomic data now needs to be made dynamic. This development requires systems biology, integrating computational models for cells and organisms in health and disease; quantitative experiments (high-throughput, genome-wide, living cell, in silico); and new concepts and principles concerning interactions. This book defines the new field of systems biology and discusses the most efficient experimental and computational strategies. The benefits for industry, such as the new network-based drug-target

Computational Systems Biology

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  • Author : Helder I Nakaya
  • Publisher : Elsevier Inc. Chapters
  • Release Date : 2013-11-26
  • ISBN : 9780128070161
GET THIS BOOKComputational Systems Biology