README.mkdn 2.3 KB

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  1. ## My thesis
  2. - [My thesis](thesis-final.pdf): *Bioinformatic analysis of complex,
  3. high-throughput genomic and epigenomic data in the context of CD4⁺
  4. T-cell differentiation and diagnosis and treatment of transplant
  5. rejection*
  6. - [Slides for my defense talk](defense-slides.pdf): The slides for
  7. my dissertation defense, mainly covering Chapter 2 of my thesis
  8. ## Interesting sub-folders
  9. Each folder showcases a different project or aspect of my work in the
  10. Salomon lab.
  11. - [`Teaching`](Teaching): Teaching materials for my lecture and lab on
  12. introductory RNA-seq analysis
  13. - [`CD4`](CD4): Examples relating to my CD4 memory RNA-seq & ChIP-seq
  14. project
  15. - [`450k`](450k): Examples relating to analysis of Illumina 450k DNA
  16. methylation arrays
  17. - [`Pathways`](Pathways): Examples of gene set and pathway analysis
  18. for RNA-seq data
  19. - [`globin`](globin): Examples of my work in demonstrating the
  20. performance of a new globin blocking protocol for RNA-seq of blood
  21. tissues
  22. - [`fRMA`](fRMA): Examples and code from my work creating a custom
  23. frozen RMA reference to provide a stable normalization for machine
  24. learning applications
  25. ## Presentations
  26. - [`DGE Presentation.pdf`](DGE Presentation.pdf): comparing edgeR,
  27. DESeq, and limma on both a conceptual and practical level
  28. - [`Advanced RNA-seq Analysis.pdf`](Advanced RNA-seq Analysis.pdf): On
  29. the advanced features provided by limma for RNA-seq analysis
  30. - [`Reproducible Workflow Presentation.pdf`](Reproducible Workflow
  31. Presentation.pdf): Showcases the use of
  32. [Snakemake](https://snakemake.readthedocs.io/en/stable/) for
  33. building a reproducible analysis
  34. ## Other files
  35. - [`Classifier Math Write-up.pdf`](Classifier Math Write-up.pdf): A
  36. short write-up to explain the mathematical principles behind the
  37. classifier method used in a machine learning project
  38. - [`blockbuster-pipeline.R.html`](blockbuster-pipeline.R.html): R code
  39. for clustering small RNA reads into clusters
  40. using
  41. [Blockbuster](http://hoffmann.bioinf.uni-leipzig.de/LIFE/blockbuster.html)
  42. - [`mdsplots-multidim.pdf`](mdsplots-multidim.pdf): A PCA plot of RNA-seq
  43. data for *C. elegans* samples with and without a drug that retards
  44. the aging process, demonstrating smaller age-related changes with
  45. the drug
  46. (for [this paper](https://elifesciences.org/content/4/e08833))