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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 #10: Evolution and Phylogenetics

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

 


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