The Last Man Who Knew Everything
Thomas Young
by Andrew Robinson
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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. 
Book Description
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.
This open book is licensed under a Creative Commons License (CC BY). You can download The Last Man Who Knew Everything ebook for free in PDF format (35.6 MB).
Table of Contents
Chapter 1
Biochemical networks in the matrix form
Chapter 2
Metabolic modeling
Chapter 3
The magic of change and how to find it
Chapter 4
Physical modeling and non-linear enzyme
Book Details
Title
The Last Man Who Knew Everything
Subject
Medical
Publisher
Open Book Publishers
Published
2023
Pages
298
Edition
1
Language
English
ISBN13
9781805110187
ISBN10
1805110187
ISBN13 Digital
9781805110194
ISBN10 Digital
1805110195
PDF Size
35.6 MB
License
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