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: Protein Sequence Profiles and Motif Applications
Lecture #11: Introduction to Relational Databases
Lecture #12: Bioinformatics Databases
Lecture #13: Statistics I
Lecture #14: Statistics II
Lecture #15: DNA Microarray Technology
Lecture #16: Data Nomalization and Thresholds
Lecture #17: High Throughput Sequencing Technology and RNA Seq. Data Analysis
Lecture #18: Data Analysis and Thresholds
Lecture #19: Data Mining and Clustering
Lecture #20: Data Visualization
Lecture #21: Protein Structure Prediction I
Lecture #22: Protein Structure Prediction II
Lecture #23: Proteomics and Mass Spectrometry
Lecture #24: Protein Identification by Mass Spectrometry
Lecture #25: Mass Spectrometry applications
Lecture #26: Proteomics and Systems Biology
Lecture #27: Systems Biology and Bayesian Networks
* Audio Lecture #22 Slides 19 - 21