Resources
Resources
Guides for getting more from your RNA-seq data
Plain-English tutorials on analyzing and interpreting RNA-seq — written for researchers, not programmers. More on the way.
Tutorial · Interpretation
How to read a volcano plot
What the axes mean, how fold-change and significance thresholds work, p-value vs. adjusted p-value, and the mistakes to avoid.
Read the guide →Tutorial · Workflow
RNA-seq differential expression without code
What DE analysis involves, why it usually needs R/DESeq2, and how to get from a dataset to interpreted results with no code.
Read the guide →See the workflow in action
Run a real RNA-seq analysis end to end on a public accession or your own data — no code required.