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  • 1
    Online Resource
    Online Resource
    Cambridge, UK :Open Book Publishers,
    UID:
    almahu_9949519420302882
    Format: 1 online resource (172 pages)
    Edition: 1st ed.
    ISBN: 1-80064-412-4
    Content: This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
    Note: Introduction -- Biochemcial networks in the matrix form -- Metabolic modeling -- The magic of change and how to find it -- Physical modeling and non-linear enzyme kinetics.
    Additional Edition: ISBN 1-80064-410-8
    Language: English
    URL: Volltext  (kostenfrei)
    URL: Volltext  (kostenfrei)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    Cambridge, UK :Open Book Publishers,
    UID:
    kobvindex_HPB1390558920
    Format: 1 online resource (172 p.)
    ISBN: 9781800644120 , 1800644124
    Note: Description based upon print version of record.
    Additional Edition: Print version: Sauter, Thomas Introduction to Systems Biology Cambridge, UK : Open Book Publishers,c2023
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almahu_9949465862102882
    Format: 1 online resource (viii, 162 pages) : , illustrations (some colour)
    ISBN: 9781800644120
    Content: "This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read."--Publisher's website.
    Note: Available through Open Book Publishers. , Preface / Marco Albrecht, Thomas Sauter -- Introduction / Marco Albrecht, Thomas Sauter -- Chapter 1. Biochemical networks in the matrix form / Marco Albrecht, Thomas Sauter -- Chapter 2. Metabolic modeling / Marco Albrecht, Thomas Sauter -- Chapter 3. The magic of change and how to find it / Marco Albrecht, Thomas Sauter -- Chapter 4. Physical modeling and non-linear enzyme / Thomas Sauter, Marco Albrecht. , Mode of access: World Wide Web.
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Online Resource
    Online Resource
    Cambridge, UK :Open Book Publishers,
    UID:
    almahu_9949517576202882
    Format: 1 online resource (172 pages)
    Edition: 1st ed.
    ISBN: 9781800644120
    Additional Edition: Print version: Sauter, Thomas Introduction to Systems Biology Cambridge, UK : Open Book Publishers,c2023
    Language: English
    Keywords: Electronic books.
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 5
    Online Resource
    Online Resource
    Cambridge, UK :Open Book Publishers,
    UID:
    edoccha_9961030645102883
    Format: 1 online resource (172 pages)
    Edition: 1st ed.
    ISBN: 1-80064-412-4
    Content: This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
    Note: Introduction -- Biochemcial networks in the matrix form -- Metabolic modeling -- The magic of change and how to find it -- Physical modeling and non-linear enzyme kinetics.
    Additional Edition: ISBN 1-80064-410-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
  • 6
    Online Resource
    Online Resource
    Cambridge, UK :Open Book Publishers,
    UID:
    edocfu_9961030645102883
    Format: 1 online resource (172 pages)
    Edition: 1st ed.
    ISBN: 1-80064-412-4
    Content: This book is an introduction to the language of systems biology, which is spoken among many disciplines, from biology to engineering. Authors Thomas Sauter and Marco Albrecht draw on a multidisciplinary background and evidence-based learning to facilitate the understanding of biochemical networks, metabolic modeling and system dynamics. Their pedagogic approach briefly highlights core ideas of concepts in a broader interdisciplinary framework to guide a more effective deep dive thereafter. The learning journey starts with the purity of mathematical concepts, reveals its power to connect biological entities in structure and time, and finally introduces physics concepts to tightly align abstraction with reality. This workbook is all about self-paced learning, supports the flipped-classroom concept, and kick-starts with scientific evidence on studying. Each chapter comes with links to external YouTube videos, learning checklists, and Integrated real-world examples to gain confidence in thinking across scientific perspectives. The result is an integrated approach that opens a line of communication between theory and application, enabling readers to actively learn as they read. This overview of capturing and analyzing the behavior of biological systems will interest adherers of systems biology and network analysis, as well as related fields such as bioinformatics, biology, cybernetics, and data science.
    Note: Introduction -- Biochemcial networks in the matrix form -- Metabolic modeling -- The magic of change and how to find it -- Physical modeling and non-linear enzyme kinetics.
    Additional Edition: ISBN 1-80064-410-8
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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