// the find
jtleek/genomicspapers
The Leek group guide to genomics papers
A reading list maintained by Jeff Leek at Johns Hopkins for people entering his computational genomics lab. It's a curated bibliography covering RNA-seq, statistical genomics, and bioinformatics software, not a codebase. Think of it as a grad student onboarding doc that leaked to GitHub.
The paper selection is genuinely good — it hits the foundational work (limma, edgeR, SVA) that anyone doing bulk RNA-seq analysis actually needs to understand. Leek knows this domain and the list reflects that, not just name-dropping famous papers but picking ones with real methodological substance. The categorization into Background/Statistics/Software is useful for a newcomer figuring out what to read first.
Frozen in 2018 — the field has moved on significantly. DESeq2 is absent, single-cell RNA-seq doesn't exist here at all, and several linked papers return 404s. This is a static text file with zero mechanism for updates or contributions, so it will only get more stale. It's also explicitly scoped to one PI's lab preferences, which limits how useful it is to anyone outside that exact research context.