R — Beyond Basics

You know R basics. Now master the tools used in genomics: tidyverse for data wrangling, ggplot2 for publication figures, R Markdown for reproducible reports, and Bioconductor for biology-specific packages.

Weeks 4–5Timeline

~10 hrsStudy time

FREEAlways

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📋 Not sure where this fits? Module 04 is part of the full bioinformatics curriculum — a structured 42-week learning path from Bash to single-cell RNA-seq.

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Lessons

13 lessons in this module

01R & RStudio setup for bioinformaticsLive →

02Data types, vectors & data framesComing soon

03Control flow & functionsComing soon

04tidyverse: dplyr & data wranglingComing soon

05tidyverse: ggplot2 & publication plotsComing soon

06Reading & writing bioinformatics file formatsComing soon

07Statistical testing in RComing soon

08Bioconductor — introduction & core packagesComing soon

09Working with gene expression matricesComing soon

10Heatmaps & hierarchical clusteringComing soon

11PCA & dimensionality reductionComing soon

12R Markdown & reproducible reportsComing soon

13Capstone: end-to-end gene expression analysisComing soon

Lesson 1 is live.

Lesson 1 — R & RStudio setup for bioinformatics is ready to read now. The remaining 12 lessons are being built, each with exercises, datasets, and a GitHub repository you push as proof of skill. Sign up to be notified as they go live.

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Module 04 of 31

R — Beyond Basics

Topics covered in this module

13 lessons in this module

Lesson 1 is live.