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