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Lecture Presentations for the Graduate Course in Bioinformatics and Computational Biomedicine
SCHEDULE | COURSE HOME | SUGGESTED READING
To download the following course materials, right click on the link and select "Save Target As..."
Lecture 1: History and Introduction
Lecture 2: Dynamic Programming Algorithms
Lecture 3: Statistics #1
Lecture 4: Weighted Finite State Transducers
Lecture 5: Protein Secondary and Tertiary Structure Prediction
Lecture 6: Theory of Evolution and Principles of Phylogenetics
Lecture 7: Protein Functional Annotation
Lecture 8: Statistics #2: Bayesian Statistics
Lecture 9: Transcriptome and Proteome Analysis
Lecture 10: Comparative Genomics
Lecture 11: Regulation at the RNA and DNA Levels
Lecture 12: Protein-Protein Interactions, Networks and Pathways
Lecture 13: Dynamic Systems
Lecture 14: Cardiac modeling
Lecture 15: Neuroinformatics
Lecture 16: Whole Organ Systems Modeling
For further information please contact Dr. Lucy Skrabanek
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