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CMM262 - Winter 2023

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Welcome to the course website for CMM262: Quantitative Methods in Genetics and Genomics!

Course Organization

This interactive course is taught by a variety of experts in the field of genetics and genomics! These experts will go over the conceptual background behind different sequencing technologies and/or analytical techniques, as well as provide an interactive introduction to performing bioinformatics analyses in the form of Jupyter Notebooks.

Check out the course syllabus for more details.

Course Schedule

Week Starting Date Topic Lecturer(s) Homework Released
1 Jan 10 Module 1: Programming Basics in Python, UNIX, and R TAs None
2 Jan 17 Module 2: Chromatin and ChIP-Sequencing (ChIP-seq) Alon Goren None
3 Jan 24 Module 3: Introduction to Statistics Graham McVicker Homework 1 (due 2/2)
4 Jan 31 Module 4: Genome-Wide Association Studies (GWAS) Graham McVicker None
5 Feb 7 Module 5: Single-Cell RNA-Sequencing (scRNA-seq) Robert Morey Homework 2 (due 2/16)
6 Feb 14 Module 6: Image Processing and Spatial Transcriptomics Johannes Schöneberg
Colin Kern + Quan Zhu
Midterm (due 2/23)
7 Feb 21 Module 7: RNA-Sequencing (RNA-seq) Priya Pantham None
8 Feb 28 Module 8: Variant Calling Kyle Gaulton Homework 3 (due 3/9)
9 Mar 7 Module 9: Network Biology Hannah Carter None
10 Mar 14 Module 10: Population Genetics Nicholas Schork
Andrew Schork
None
11 Mar 14 Finals Week - Take-Home Final (due 3/21 at 11:59 pm)