This repository contains a reproducible RNA-seq differential expression
analysis pipeline using the Bioconductor airway dataset as an example.
run_analysis_and_prepare_repo.R: main R script (this file).results/: CSV outputs (DE results and normalized counts).figures/: PNG figures (PCA, Volcano, Heatmap).
- Open this project in RStudio.
- Run
source('run_analysis_and_prepare_repo.R'). - Review files in
results/andfigures/.
- This example uses the Bioconductor
airwaydataset so the pipeline runs without needing to download raw FASTQ files. - To analyze your own Salmon/Kallisto output, replace the data-loading
section with
tximportcode that imports yourquant.sffiles.
If you use this pipeline, please cite the relevant packages (DESeq2, etc.).