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Uedu Open / Foundations of Computational and Systems Biology
7.91J

Foundations of Computational and Systems Biology

Prof. Christopher Burge, Prof. David Gifford, Prof. Ernest Fraenkel | Spring 2014
Science & Math Biology Engineering Biological Engineering Systems Engineering Computation and Systems Biology Computational Biology Computational Modeling and Simulation
前往原始課程
CC BY-NC-SA 4.0
課程簡介
This course is an introduction to computational biology emphasizing the fundamentals of nucleic acid and protein sequence and structural analysis; it also includes an introduction to the analysis of complex biological systems. Topics covered in the course include principles and methods used for sequence alignment, motif finding, structural modeling, structure prediction and network modeling, as well as currently emerging research areas.
課程資訊
來源MIT 開放式課程
科系Biological Engineering
語言English
影片數22
課程影片 (22)
1
1. Introduction to Computational and Systems Biology
1. Introduction to Computational and Systems Biology
2
2. Local Alignment (BLAST) and Statistics
2. Local Alignment (BLAST) and Statistics
3
3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)
3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)
4
4. Comparative Genomic Analysis of Gene Regulation
4. Comparative Genomic Analysis of Gene Regulation
5
5. Library Complexity and Short Read Alignment (Mapping)
5. Library Complexity and Short Read Alignment (Mapping)
6
6. Genome Assembly
6. Genome Assembly
7
7. ChIP-seq Analysis; DNA-protein Interactions
7. ChIP-seq Analysis; DNA-protein Interactions
8
8. RNA-sequence Analysis: Expression, Isoforms
8. RNA-sequence Analysis: Expression, Isoforms
9
9. Modeling and Discovery of Sequence Motifs
9. Modeling and Discovery of Sequence Motifs
10
10. Markov and Hidden Markov Models of Genomic and Protein Features
10. Markov and Hidden Markov Models of Genomic and Protein Features
11
11. RNA Secondary Structure; Biological Functions and Predictions
11. RNA Secondary Structure; Biological Functions and Predictions
12
12. Introduction to Protein Structure; Structure Comparison and Classification
12. Introduction to Protein Structure; Structure Comparison and Classification
13
13. Predicting Protein Structure
13. Predicting Protein Structure
14
14. Predicting Protein Interactions
14. Predicting Protein Interactions
15
15. Gene Regulatory Networks
15. Gene Regulatory Networks
16
16. Protein Interaction Networks
16. Protein Interaction Networks
17
17. Logic Modeling of Cell Signaling Networks
17. Logic Modeling of Cell Signaling Networks
18
18. Analysis of Chromatin Structure
18. Analysis of Chromatin Structure
19
19. Discovering Quantitative Trait Loci (QTLs)
19. Discovering Quantitative Trait Loci (QTLs)
20
20. Human Genetics, SNPs, and Genome Wide Associate Studies
20. Human Genetics, SNPs, and Genome Wide Associate Studies
21
21. Synthetic Biology: From Parts to Modules to Therapeutic Systems
21. Synthetic Biology: From Parts to Modules to Therapeutic Systems
22
22. Causality, Natural Computing, and Engineering Genomes
22. Causality, Natural Computing, and Engineering Genomes