MIT 7.91J Foundations of Computational and Systems Biology (English)

   Tuesday, December 17, 2024   

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MIT 7.91J Foundations of Computational and Systems Biology By Lecture Notes together!

Lecture 1: 1. Introduction to Computational and Systems Biology

Lecture 2: 2. Local Alignment (BLAST) and Statistics

Lecture 3: 3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)

Lecture 4: 4. Comparative Genomic Analysis of Gene Regulation

Lecture 5: 5. Library Complexity and Short Read Alignment (Mapping)

Lecture 6: 6. Genome Assembly

Lecture 7: 7. ChIP-seq Analysis; DNA-protein Interactions

Lecture 8: 8. RNA-sequence Analysis: Expression, Isoforms

Lecture 9: 9. Modeling and Discovery of Sequence Motifs

Lecture 10: 10. Markov and Hidden Markov Models of Genomic and Protein Features

Lecture 11: 11. RNA Secondary Structure; Biological Functions and Predictions

Lecture 12: 12. Introduction to Protein Structure; Structure Comparison and Classification

Lecture 13: 13. Predicting Protein Structure

Lecture 14: 14. Predicting Protein Interactions

Lecture 15: 15. Gene Regulatory Networks

Lecture 16: 16. Protein Interaction Networks

Lecture 17: 17. Logic Modeling of Cell Signaling Networks

Lecture 18: 18. Analysis of Chromatin Structure

Lecture 19: 19. Discovering Quantitative Trait Loci (QTLs)

Lecture 20: 20. Human Genetics, SNPs, and Genome Wide Associate Studies

Lecture 21: 21. Synthetic Biology: From Parts to Modules to Therapeutic Systems

Lecture 22: 22. Causality, Natural Computing, and Engineering Genomes