# APHYS 237/BIO251: Quantitative evolutionary dynamics and genomics

The genomics revolution has fueled a renewed push to model evolutionary processes in quantitative terms. This course will provide an introduction to quantitative evolutionary modeling through the lens of statistical physics. Topics will range from the foundations of theoretical population genetics to experimental evolution of laboratory microbes. Course work will involve a mixture of pencil-and-paper math, writing basic computer simulations, and downloading and manipulating DNA sequence data from published datasets. This course is intended for upper level physics and math students with no biology background, as well as biology students who are comfortable with differential equations and probability.

## Spring 2024

**Course Meeting Schedule:** TTh 10:30am – 11:50am

**Course Meeting Location:** Lane History Corner (Bldg 200) Rm 105

**Instructor:** Prof. Benjamin Good, Office: Clark S244, Email: bhgood@stanford.edu

**Office Hours:** Fri 1pm-2pm or by appointment.

Syllabus

Mathematical Background

## Problem Sets

Data files for problem sets

Problem Set 1

Problem Set 2

## Lecture Notes

Lectures 1 & 2 (Overview,
Math Preliminaries,
Bio Background)

Lectures 3 (PDF); Old version (PDF)

Lecture 4 & 5 (PDF)

Lectures 5 & 6 (PDF)

Lectures 7, 8, & 9 (PDF)

## Other materials

1. BH Good (2016), Molecular evolution in rapidly evolving populations, Chapter 1

2. SF Levy, JR Blundell, et al (Nature 2015), Quantitative evolutionary dynamics using high-resolution lineage tracking, Supplementary Information

3. DS Fisher (Les Houches Course 11, 2007), Evolutionary dynamics

4. Korolev et al (Rev Mod Phys, 2010), Genetic demixing and evolution in linear stepping stone models

5. Neher and Shraiman (Rev Mod Phys, 2011), Statistical genetics and evolution of quantitative traits

## Previous years

Winter 2023

Winter 2021

Winter 2020