Here is your guide to getting the most out of DAVID functional annotation in 2024. Imagine you find 500 genes that are "turned on" during a heart attack. Reading each gene one by one is useless. You will see GAPDH (metabolism), IL6 (inflammation), TNNT2 (contraction), and CASP3 (apoptosis).

Enter (The Database for Annotation, Visualization and Integrated Discovery). For nearly two decades, DAVID has been the Swiss Army knife of functional annotation. It answers the golden question of genomics: "Which biological processes are my genes involved in?"

"I have 4 genes." With DAVID: You run the list. The top cluster is "Amyloid precursor protein metabolic process" (Fold Enrichment: 45x). The second cluster is "Axon guidance" (Not significant? Maybe ignore). The third cluster is "Immune response" (Wait, microglia genes are also upregulated? That changes your hypothesis).

For 80% of biologists who need to answer, "What is my gene list doing?" DAVID is the best tool ever made. Use it, cite it, and never present a raw gene list to your PI again.

If you’ve just finished an RNA-seq or microarray experiment, you probably have a list of genes. It might be a short list of 50 names or a long one of 2,000. But a list is just data. The real question is: What does this list mean biologically?