Lecture
Notes
Lecture #1: Genes and the Genetic Code
Lecture #2: Gene Prediction
Lecture #3: Algorithms and Programming languages
Lecture #4: Perl Tutorial
Lecture #5: Sequence Alignments and Scoring Matrices
Lecture #6: Scoring matrices and BLAST
Lecture #7: Multiple Sequence Alignment
Lecture #8: Patterns, Profiles, and Motifs
Lecture #9: Introduction to Relational Databases
Lecture #10: Sequence Motif Applications and Databases
Lecture #11: Statistical Methods I
Lecture #12: Evolution and Phylogenetics (notes handed out in class)
Lecture #13: DNA Microarray Technology and High-throughput Sequencing
Lecture #14: Microarray and Sequencing Applications
Lecture #15: Data Nomalization and Thresholds
Lecture #16: Data Analysis
Lecture #17: Data Mining and Clustering
Lecture #18: Data Visualization
Lecture #19: Protein Structure Prediction I
Lecture #20: Protein Structure Prediction II
Lecture #21: Predicting Affects of Mutations I
Lecture #22: Predicting Affects of Mutations II
Lecture #23: High-throughput Biology and Applications
Lecture #24: Principles of Network Biology
Lecture #25: Metabolomics and NMR
Lecture #26: Mass Spectrometry applications
Lecture #27: Introduction to Mathmatical Modeling I
Lecture #28: Introduction to Mathmatical Modeling II
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