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Nature in Code

Biology in Javascript - Learning programming while discovering the rules that govern life

"Nature, In Code" is a new type of textbook that teaches programming in JavaScript by implementing key concepts in biology (natural selection, genetic drift, epidemics, evolution of cooperation, etc.) - everything runs in the browser.

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About

About

About the Book

"Nature, In Code" is a new type of textbook that teaches programming in JavaScript by implementing key concepts in biology (natural selection, genetic drift, epidemics, evolution of cooperation, etc.) - everything runs in the browser.

If you are interested in learning programming, but find pure programming books, uhm, boring, this book is for you. Instead of just learning dry programming principles, you learn programming by implementing key biological concepts in code so that they run in your browser.

If you know a little (or a lot of) programming already, but want to learn more about the rules that govern life without having to pick up a dry, overpriced academic textbook, this book is for you too. You will learn some key ideas that form the basis of modern biology, from population genetics to evolutionary biology to infectious disease spread.

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Author

About the Author

Marcel Salathé

Marcel Salathé is a Professor in the Schools of Life Sciences and Computer & Communication Sciences at EPFL in Switzerland, where he heads the Digital Epidemiology Lab. He is also the Academic Director of the EPFL Extension School. He has launched multiple companies and projects in the digital space, in the business, education, and health domains. He blogs at blog.salathe.com.

Contents

Table of Contents

  • 1. Introduction
    • Acknowledgements
  • 2. The Genes, They Are a-Changin’
    • The Hardy-Weinberg Principle
    • What Does Boring Look Like?
    • Code
  • 3. Genetic Drift: The Power of Chance
    • Randomness
    • The Randomness of Finite Populations
    • Visualizing Drift
    • A Mathematical Formulation of Genetic Drift
    • Effective Population Size
  • 4. Mutation: The Power of Mistakes
    • The Fixation of Mutations
  • 5. Migration: Spatial Models
    • Quantifying Inbreeding
  • 6. Natural Selection: The Best Idea Anyone’s Ever Had
    • Directional Selection
    • Balancing Selection
    • Disruptive Selection
    • Coevolution
  • 7. Epidemics: The Spread of Infectious Diseases
    • The SIR Model
    • It’s a Small World
  • 8. Cooperation: Good Guys Can Finish First
    • Game Theory
    • A Game in Code
    • Revisiting Object Assignments
    • When Defection Outcompetes Cooperation
    • Repeated games
    • Win-stay, lose-shift
  • Epilogue

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