Lecture Notes

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Chapter 1: BLAST and Karlin-Altschul Statistics
Chapter 2: Genome Assembly and Haplotype Assembly Algorithms
Chapter 3: Recombination and Ancestral Recombination Graph Algorithms
Chapter 4: Hidden Markov Model (HMM) Algorithms: The Learning Problem
Chapter 5: Rigorous Clustering: Spectral Graph Theory Algorithms
Chapter 6: Protein Folding Algorithms (An Introduction)

Class Powerpoints

Course Overview (Introduction to CS182) - 1/27/22

Introduction to Genome Assembly - 2/15/22

Introduction to Protein Folding - 4/21/22

Protein Structure Prediction (Stanford) - 4/21/22

AlphaFold2 - 4/28/22

Clustering Notes

Linear Algebra Review - 4/26/22

Spectral Clustering Theory - 4/28/22

Random Walk Theory of Clustering - 4/28/22