RNA-seq Differential Expression with edgeR (Airway Dataset)

This repository contains an RNA-seq differential expression analysis using the real-world airway dataset, where human airway smooth muscle cells were treated with dexamethasone (a glucocorticoid). The analysis was performed using the edgeR package and visualized using ggplot2 in R.

🧪 Dataset

The dataset is included in the Bioconductor airway package and originates from:

Himes et al. "RNA-seq transcriptome profiling identifies CRISPLD2 as a glucocorticoid responsive gene in airway smooth muscle cells."
Am J Respir Cell Mol Biol (2014)

🧰 Tools & Packages Used

• edgeR
• limma
• airway (Bioconductor)
• ggplot2

📁 Files

• edger_airway_rnaseq_tutorial.Rmd: Full tutorial analysis in RMarkdown
• airway_volcano.png: Volcano plot showing gene expression changes

🎯 Learning Goals

• Practice working with real RNA-seq count data
• Apply normalization and modeling with edgeR
• Visualize differential expression using volcano plots

🔒 Note

This repository was created for educational and portfolio purposes. The data used is publicly available and analysis code is original.

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