README.mkdn 1.7 KB

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  1. ## Sub-folders
  2. - [`Teaching`](Teaching): Teaching materials for my lecture and lab on
  3. introductory RNA-seq analysis
  4. - [`CD4`](CD4): Examples relating to my CD4 memory RNA-seq & ChIP-seq
  5. project
  6. - [`450k`](450k): Examples relating to analysis of Illumina 450k DNA
  7. methylation arrays
  8. - [`Pathways`](Pathways): Examples of gene set and pathway analysis
  9. for RNA-seq data
  10. - [`globin`](globin): Examples of my work in demonstrating the
  11. performance of a new globin blocking protocol for RNA-seq of blood
  12. tissues
  13. - [`fRMA`](fRMA): Examples and code from my work creating a custom
  14. frozen RMA reference to provide a stable normalization for machine
  15. learning applications
  16. ## Presentations
  17. - [`DGE Presentation.pdf`](DGE Presentation.pdf): A presentation
  18. comparing edgeR, DESeq, and limma on both a conceptual and practical
  19. level
  20. - [`Advanced RNA-seq Analysis.pdf`](Advanced RNA-seq Analysis.pdf): A
  21. presentation on the advanced features of limma for RNA-seq analysis
  22. - [`Reproducible Workflow Presentation.pdf`](Reproducible Workflow Presentation.pdf):
  23. ## Other files
  24. - [`Classifier Math Write-up.pdf`](Classifier Math Write-up.pdf): A
  25. short write-up to explain the mathematical principles behind the
  26. classifier method used in a machine learning project
  27. - [`blockbuster-pipeline.R.html`](blockbuster-pipeline.R.html): R code
  28. for clustering small RNA reads into clusters
  29. using
  30. [Blockbuster](http://hoffmann.bioinf.uni-leipzig.de/LIFE/blockbuster.html)
  31. - [`mdsplots-multidim.pdf`](mdsplots-multidim.pdf): A PCA plot of RNA-seq
  32. data for *C. elegans* samples with and without a drug that retards
  33. the aging process, demonstrating smaller age-related changes with
  34. the drug
  35. (for [this paper](https://elifesciences.org/content/4/e08833))