Selecting Between-sample ChIP-Seq Normalization Methods - Assumptions and Implications

Selecting Between-sample ChIP-Seq Normalization Methods - Assumptions and Implications

Computational Genomics Summer Institute CGSI via YouTube Direct link

Intro

1 of 31

1 of 31

Intro

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Selecting Between-sample ChIP-Seq Normalization Methods - Assumptions and Implications

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  1. 1 Intro
  2. 2 High throughput sequencing
  3. 3 What is ChIP sequencing
  4. 4 Differential binding
  5. 5 RNAseq
  6. 6 How much does normalization matter
  7. 7 Library size
  8. 8 Background bins
  9. 9 Road map
  10. 10 Capital T truth
  11. 11 Factoring
  12. 12 spiking controls
  13. 13 symmetry
  14. 14 Asymmetry
  15. 15 Size Factors
  16. 16 Relative Log Expression
  17. 17 Technical Conditions
  18. 18 Simulations
  19. 19 False Discovery Rate
  20. 20 Symmetrical DNA Binding
  21. 21 Background Bin
  22. 22 Entire Genome
  23. 23 Four Images
  24. 24 Technical Condition
  25. 25 Trend
  26. 26 Data
  27. 27 Principal Components
  28. 28 Summary
  29. 29 Controls
  30. 30 Biological Experiment
  31. 31 Conclusion

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