Introduction to omics analyses with R

Two sessions in the Bioinformatics Bonanza 2026 (BRC-NCSU)

Hands-on training workshops on omics data analyses with R by the Bioinformatics Research Center

Each wo rkshop is a self-contained, roughly two-hour session — they build on eachother, so we recommend you take them in the order presented.

Live documentation: https://hurwitzlab.github.io/omics_with_R

Workshops

• Foundations of R with the Tidyverse (r_tidyverse_workshop.qmd) — R basics (objects, data types, vectors) and the dplyr core verbs (filter, select, mutate, arrange, summarize), group operations, and a first ggplot2 plot, using the built-in starwars dataset.
• RNA-seq and Transcriptomics (rnaseq_workshop.qmd) — Bulk RNA-seq expression table analysis, differential expression analysis, and interpreting DESeq2 output.

Rendering

The site is built with Quarto and requires R with tidyverse installed.

quarto render

CI/CD

On every push to main, GitHub Actions (.github/workflows/render-and-deploy.yml) installs R and the tidyverse, renders the site with Quarto, and publishes it to GitHub Pages.