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  • Welcome to The Multilingual Quantitative Biologist!

Computing

  • Introduction & prerequisites
  • UNIX and Linux
  • Shell scripting
  • Version control with Git
  • Scientific documents with \(\LaTeX\)
  • Biological Computing in Python
    • Object-Oriented Programming
  • Biological Computing in R
  • AI-assisted programming in biology

Basic Data Analyses and Statistics

  • Introduction & prerequisites
  • Data Management and Visualization in R
  • Experimental design and data exploration
  • Basic hypothesis testing
  • Linear Models: regression
  • Linear Models: Analysis of variance
  • Linear Models: Multiple explanatory variables
  • Linear Models: Multiple variables with interactions
  • Model simplification

Advanced E&E Modelling and Statistics Pre-work

  • Introduction & prerequisites
  • EnE Modelling and Advanced Data Science Pre-work

Ecological & Evolutionary Modelling

  • Introduction & prerequisites
  • The Metabolic Basis of Ecology and Evolutionary dynamics
  • Single Populations
    • From consumer–resource dynamics to logistic growth
    • Populations: Practicals
  • Species interactions
  • Competitive dynamics
    • Competitive Dynamics: Practicals
  • Predator–prey dynamics
    • Predator–prey dynamics: Practicals
  • Epidemiological dynamics
    • Epidemiological dynamics: Practicals

Advanced Data Analyses and Statistics

  • Introduction & prerequisites
  • Exploring a soil microbiome in R
  • Generalised Linear Models
  • Model Fitting using Non-linear Least-squares
    • Nonlinear least squares (NLLS) in Python
    • Microbial Growth rates in R
  • Model Fitting using Maximum Likelihood
  • Bayesian inference for biological data

Assignments and Assessments

  • Introduction & prerequisites
  • MQB Coursework Assessment
    • Computing Bootcamp Rubric
  • The Computing Miniproject
    • Computing MiniProject Rubric

Appendices

  • Introduction & prerequisites
  • Tooling and Environments
    • Key computing terms
    • macOS Tools and Homebrew
    • Python Installation and Environments
    • R Installation and User Libraries
    • VS Code for MQB
    • Getting started with GitHub Copilot in VS Code
    • Git, GitHub and SSH Setup
    • Introduction to Jupyter
    • Databases
  • Linux Setup and Ubuntu Administration
  • Data Analysis in Python (Optional)
    • Data analyses with Python & Jupyter
  • Maths and Quantitative Foundations
    • Mathematical models in Jupyter
    • Maths for Biologists
  • Performance, Scaling, and Compute
    • Introduction to High-Performance Computing (HPC)

References

  • References
  • Repository
  • Open issue

Index

By MulQuaBio collective!

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