CISC 436/636 Computational Biology and Bioinformatics (Fall 2016)
( under construction)
Lecture notes
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Lecture 1 (Overview)   
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Lecture 2 (A molecular biology primer)   
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Lecture 3 (Molecular biology tools)   
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Lecture 4 (Whole genome sequencing: mapping and assembly)   
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Lecture 5 (Pairwise alignments: Needleman-Wunsch algorithm)   
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Lecture 6 (Pairwise alignments: Smith-Waterman algorithm)   
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Lecture 7 (Pairwise alignments: analysis of score statistics, BLAST, FASTA)   
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Lecture 8 (Multiple sequence alignments)   
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Lecture 9 (Hidden Markov models: decoding, Viterbi algorithm)   
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Lecture 10 (Hidden Markov models: Likelihood, Forward algorithm)   
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Lecture 11 (Hidden Markov models: Viterbi training, Baum-Welsh algorithm)
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Lecture 12 (Hidden Markov models:Applications)   
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(Review)   
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Lecture 13 (Phylogenetic trees: Maximum parsimony)   
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Lecture 14 (Phylogenetic trees: Distance-based methods)   
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Lecture 15 (Phylogenetic trees: Probabilistic methods)   
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Lecture 16 (RNA Secondary Structure Predictions)   
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Lecture 17 (Protein Secondary Structure Predictions)   
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Lecture 18 (Protein 3-d Structure Predictions)   
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Lecture 19 (Systems biology: DNA Microarray, 2d gel, MSMS, yeast 2-hybrid)   
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Lecture 20 (Systems biology: Gene expressions profiling and clustering)   
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Lecture 21 (Systems biology: Inferences of biological networks)   
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Lecture 22 (Systems biology: Inferences of protein-protein interaction)   
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Links
Interesting and related papers: