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Bioinformatics 529 - Bioinformatics Concepts and Algorithms

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Bioinformatics 529 (3 Credit Lecture)

Bioinformatics Concepts and Algorithms

Course Masters: Alan Boyle, Ph.D. (apboyle@umich.edu)
Ryan Mills, Ph.D. (remills@umich.edu)

Graduate Student Instructors: Shengcheng Dong (shengchd@umich.edu) Marcus Sherman (mdsherm@umich.edu)

No. Date Topic
1. We 1/9/19 Introduction and Setup
2. Mo 1/14/19 Obtaining, Compiling, and Organizing Software
3 We 1/16/19 Pattern matching in sequence
MLK Day
4. We 1/23/19 Consensus motifs
5. Mo 1/28/19 Gibbs sampling
6. We 1/30/19
7. Mo 2/4/19 Graphical models
8. We 2/6/19 Viterbi decoding; posterior decoding
9. Mo 2/11/19 Estimating HMM parameters
10. We 2/13/19 Profile HMMs and Classification
11. Mo 2/18/19 Pairwise alignments
12. We 2/20/19 Multiple sequence alignment
13. Mo 2/25/19 Clustering
14. We 2/27/19 Building phylogenetic trees
Spring Break
15. Mo 3/11/19 Tree searches / sorting + Recursion
16. We 3/13/19 Short-read mapping 1: suffix tree + BWT
17. Mo 3/18/19 Short-read mapping 2: suffix tree + BWT
18. We 3/20/19 Count-based data 1: coverage, variant calling
19. Mo 3/25/19 Count-based data 2: expression level, RNA
20. We 3/27/19 Count-based data 3: eQTL, association test
21. Mo 4/1/19 Genomics analysis on intervals & Genome Browsers
22. We 4/3/19 De novo sequence assembly: de Bruijn graph
23. Mo 4/8/19 Proteomic analysis: peptide library, spectrum comparison (MASCOT)
24. We 4/10/19 Proteomic quantification
25. Mo 4/15/19 Networks and Enrichment
26. We 4/17/19 Protein folding
27. Mo 4/22/19 Systems Biology

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Bioinformatics 529 - Bioinformatics Concepts and Algorithms


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