Foundations of Computational and Systems Biology

Foundations of Computational and Systems Biology

Prof. Christopher Burge , Prof. David Gifford and Prof. Ernest Fraenkel via MIT OpenCourseWare Direct link

7. ChIP-seq Analysis; DNA-protein Interactions

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7 of 22

7. ChIP-seq Analysis; DNA-protein Interactions

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Classroom Contents

Foundations of Computational and Systems Biology

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  1. 1 1. Introduction to Computational and Systems Biology
  2. 2 2. Local Alignment (BLAST) and Statistics
  3. 3 3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM)
  4. 4 4. Comparative Genomic Analysis of Gene Regulation
  5. 5 5. Library Complexity and Short Read Alignment (Mapping)
  6. 6 6. Genome Assembly
  7. 7 7. ChIP-seq Analysis; DNA-protein Interactions
  8. 8 8. RNA-sequence Analysis: Expression, Isoforms
  9. 9 9. Modeling and Discovery of Sequence Motifs
  10. 10 10. Markov and Hidden Markov Models of Genomic and Protein Features
  11. 11 11. RNA Secondary Structure; Biological Functions and Predictions
  12. 12 12. Introduction to Protein Structure; Structure Comparison and Classification
  13. 13 13. Predicting Protein Structure
  14. 14 14. Predicting Protein Interactions
  15. 15 15. Gene Regulatory Networks
  16. 16 16. Protein Interaction Networks
  17. 17 17. Logic Modeling of Cell Signaling Networks
  18. 18 18. Analysis of Chromatin Structure
  19. 19 19. Discovering Quantitative Trait Loci (QTLs)
  20. 20 20. Human Genetics, SNPs, and Genome Wide Associate Studies
  21. 21 21. Synthetic Biology: From Parts to Modules to Therapeutic Systems
  22. 22 22. Causality, Natural Computing, and Engineering Genomes

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