These learning pathways group the QLS-MiCM workshops into structured tracks you can follow from foundations through to more advanced topics. Each track lists workshops in a suggested order, along with any pre-requisites.
The QLS-MiCM organization currently hosts 37 repositories covering various computational biology and data science topics.
Each track below lists workshops in a recommended order:
| Programming Basics | R Track | Python Track | Machine Learning | RNA-seq | Genetics |
|---|---|---|---|---|---|
|
1. HowToThinkInCode 2. Intro-to-UNIX 3. IntroToGitHub |
1. IntroToR 2. StatsInR 3. Data Wrangling 4. Advanced Data Viz |
1. IntroToPython 2. Data Processing 3. Intermediate Python 4. Dimensionality Reduction |
1. Intro to ML 2. Supervised ML 3. Intro to CNNs |
1. Intro to RNA-seq 2. Data Processing 3. Statistical Foundations 4. Differential Expression 5. Single-Cell RNA-seq |
1. Data Processing 2. GWAS & PRS 3. Intro to PRS |
| Pre-requisites | |||||
| None | None | None | Python Track | R Track + UNIX | Python Track |
| MATLAB Track | Single-Cell Analysis | Structural Biology | AI Agents |
|---|---|---|---|
|
1. Intro to MATLAB 2. Exploring MATLAB 3. Image Processing |
1. Intro to Single-Cell 2. Single-Cell RNA-seq 3. Clustering & Trajectory |
1. Molecular Simulations 2. 🚧 Gap: Protein Structure Prediction 3. 🚧 Gap: Molecular Docking |
1. Intro to Agents (coming soon) |
| Pre-requisites | |||
| None | R Track + RNA-seq basics | Python Track | Intro to HPC + UNIX |
See a gap in our materials? Contact us by email with your request for a specific workshop topic at workshop-micm@mcgill.ca!
You can also propose to develop a new workshop as an instructor!
Please refer to the Workshop Repo Template for detailed setup instructions, contribution guidelines, and repository structure for updating materials or submitting new workshops. If you have questions, feedback, or requests contact us directly via email at workshop-micm@mcgill.ca!