MIT 7.91J Foundations of Computational and Systems Biology
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14 learners
What you'll learn
This course includes
- 27.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 22 lessons • 27.5 hours of video
MIT 7.91J Foundations of Computational and Systems Biology
22 lessons
• 27.5 hours
MIT 7.91J Foundations of Computational and Systems Biology
22 lessons
• 27.5 hours
- 1. Introduction to Computational and Systems Biology 01:06:11
- 2. Local Alignment (BLAST) and Statistics 01:16:48
- 3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM) 01:20:01
- 4. Comparative Genomic Analysis of Gene Regulation 01:22:38
- 5. Library Complexity and Short Read Alignment (Mapping) 01:20:06
- 6. Genome Assembly 01:08:14
- 7. ChIP-seq Analysis; DNA-protein Interactions 01:21:28
- 8. RNA-sequence Analysis: Expression, Isoforms 01:20:28
- 9. Modeling and Discovery of Sequence Motifs 01:22:06
- 10. Markov and Hidden Markov Models of Genomic and Protein Features 01:18:26
- 11. RNA Secondary Structure; Biological Functions and Predictions 01:22:40
- 12. Introduction to Protein Structure; Structure Comparison and Classification 01:05:51
- 13. Predicting Protein Structure 01:04:22
- 14. Predicting Protein Interactions 01:11:38
- 15. Gene Regulatory Networks 01:19:19
- 16. Protein Interaction Networks 01:20:50
- 17. Logic Modeling of Cell Signaling Networks 01:14:15
- 18. Analysis of Chromatin Structure 01:20:30
- 19. Discovering Quantitative Trait Loci (QTLs) 01:22:13
- 20. Human Genetics, SNPs, and Genome Wide Associate Studies 01:17:57
- 21. Synthetic Biology: From Parts to Modules to Therapeutic Systems 01:21:46
- 22. Causality, Natural Computing, and Engineering Genomes 51:47
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