Summary
Last updated on 2025-09-25 | Edit this page
Estimated time: 10 minutes
A good experimental design is vital for a successful experiment. If you’re planning to work with a data analyst or bioinformatician, include them in the design stage.
Aim to minimise variability by identifying possible sources of variance in your samples.
Biological replicates are important. The number of biological replicates you should have should never be below 3. Technical replicates are often unnecessary.
Pilot studies are highly recommended for identifying how many replicates and how many reads you should have for enough statistical power in your experiment.
For basic RNA-seq experiments, poly-A enriched, single-ended, unstranded sequencing at depths of 10M to 20M is probably what you want.