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