learnPopGen: An R package for population genetic simulation and numerical analysis

Area of Science:

• Evolutionary Biology
• Population Genetics
• Computational Biology

Background:

• Traditional curricula in population genetics and evolutionary theory often require complex simulations.
• Advanced undergraduate and graduate students benefit from accessible tools for understanding evolutionary phenomena.

Purpose of the Study:

• Introduce the learnPopGen R package for teaching evolutionary biology and population genetics.
• Provide a didactic tool for simulating and analyzing evolutionary processes.

Main Methods:

• The learnPopGen package offers functions for simulating gene frequency changes under various processes.
• It includes tools for analyzing natural selection, game theory models, and genetic drift.
• Functions are designed for didactic purposes, featuring animated visualizations and exportable graphics.

Main Results:

• The package facilitates visualization of gene frequency dynamics and phenotypic trait evolution.
• It enables numerical analysis and graphing of evolutionary models, including coalescence.
• Web interfaces are available for instructors to guide students less familiar with R.

Conclusions:

• learnPopGen provides a flexible and visually engaging platform for learning advanced population genetics and evolutionary concepts.
• The package supports both direct R use and web-based interfaces, enhancing accessibility for diverse learners.