1. Introduction to Computational and Systems Biology 2. Local Alignment (BLAST) and Statistics 3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM) 4. Comparative Genomic Analysis of Gene Regulation 5. Library Complexity and Short Read Alignment (Mapping) 6. Genome Assembly 7. ChIP-seq Analysis; DNA-protein Interactions 8. RNA-sequence Analysis: Expression, Isoforms 9. Modeling and Discovery of Sequence Motifs 10. Markov and Hidden Markov Models of Genomic and Protein Features 11. RNA Secondary Structure; Biological Functions and Predictions 12. Introduction to Protein Structure; Structure Comparison and Classification 14. Predicting Protein Interactions 15. Gene Regulatory Networks 16. Protein Interaction Networks 17. Logic Modeling of Cell Signaling Networks 18. Analysis of Chromatin Structure 19. Discovering Quantitative Trait Loci (QTLs) 20. Human Genetics, SNPs, and Genome Wide Associate Studies 21. Synthetic Biology: From Parts to Modules to Therapeutic Systems 22. Causality, Natural Computing, and Engineering Genomes By LEJ4 Learning |Comments Off on Fundamentals of Computational and Systems Biology (MIT) | fb tw lin sb tb g+ ema Comments are closed.