Population Genomics in Practice 2025
  • Slides
  • Exercises
  • Code recipes
  1. Exercises
  2. Listing
  • Slides
    • Listing
    • Introduction
      • Population genomics in practice
    • Population genetics foundations
      • Listing
      • Data and definitions
      • Alleles and genealogies
      • Linkage disequilibrium
      • The Wright-Fisher model
      • Genetic diversity
      • Selection
    • Variant calling
      • Listing
      • DNA sequencing data
      • Read mapping
      • Variant calling and genotyping
      • Variant calling workflows
    • Variant filtering
      • Listing
      • Variant filtering
      • Depth filtering
    • Genetic diversity
      • Listing
      • Genetic diversity
    • Population structure
      • Listing
      • Principal component analysis
      • Admixture
    • Demography
      • Listing
    • Selection
      • Listing
    • Simulation
      • Listing
      • Brief introduction to simulation packages and stdpopsim
      • Primer on the coalescent and forward simulation
      • Ancestral recombination graph inference
  • Exercises
    • Listing
    • Data
      • Compute environment
      • Monkeyflowers dataset
    • Variant calling
      • Listing
      • Variant calling introduction
      • Data quality control
      • Read mapping and duplicate removal
      • Variant calling workflow
    • Variant filtering
      • Listing
      • Basic variant filtering
      • Depth filtering on invariant sites
    • Recombination and linkage
      • Listing
      • Linkage disequilibrium decay
    • Genetic diversity
      • Listing
      • Genetic diversity landscapes
    • Population structure
      • Listing
      • Principal component analysis
      • Admixture
      • D-statistics
    • Simulation
      • Listing
      • HOWTO
      • Introduction to stdpopsim
      • Simulating selection with stdpopsim
      • Introduction to simulation with msprime
  • Code recipes
    • Code recipes
  1. Exercises
  2. Listing

Exercises

PGIP 2025 • Population Genomics in Practice

List of all exercises
Published

18-Sep-2025

Information

All exercise pages start with a callout block that provides information on how to setup the relevant Compute environment. The callout blocks are labelled with icons that indicate the type of environment ( PDC resource; local compute environment; online browser-based resource). Make sure to read these instructions before proceeding with the exercise itself. Some of the documents include a link to an external URL that hosts the actual exercise instructions.

Compute environment setup

Before proceeding, make sure to read Compute environment for information on how to prepare your working directory.

On self-assessment exercise blocks

Scattered throughout the documents are exercise blocks, with hidden answers, and, in some cases, hints. The exercises are for self-assessment of your understanding, but they are not mandatory.

Some of the exercises (labelled with the Linux penguin ) are related to the usage of the command line interfaces (CLI), and how to obtain information about what a program does. This is an essential skill when working in Linux/UNIX environments! These exercises can be skipped if you are an experienced Linux/UNIX user.

An example exercise is provided here:

Example exercise block

The ls command is used to list the contents of a directory. What option provides a so-called long listing format?

Hint

Type ls --help to show the options to ls.

Answer

The -l option uses the long listing format, i.e., the command to use is ls -l.

Exercises

Title Description
Compute environment Description of compute resources
Monkeyflowers dataset Summary of Monkeyflower dataset from Stankowski et al. (2019)
Variant calling index List of exercises
Variant filtering index List of exercises
Recombination and linkage index List of exercises
Genetic diversity index List of exercises
Population structure index List of exercises
No matching items

Bibliography

Stankowski, S., Chase, M. A., Fuiten, A. M., Rodrigues, M. F., Ralph, P. L., & Streisfeld, M. A. (2019). Widespread selection and gene flow shape the genomic landscape during a radiation of monkeyflowers. PLOS Biology, 17(7), e3000391. https://doi.org/10.1371/journal.pbio.3000391

2025 NBIS | GPL-3 License

 

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