David Bioinformatics Resources |work| -

A typical success story: A lab studying Alzheimer’s disease runs an RNA-seq experiment and finds 2,000 differentially expressed genes. They paste the list into DAVID. Within 30 seconds, DAVID reveals that the top enriched cluster is "synaptic transmission" (GO:0007268) and "amyloid precursor protein metabolic process" (GO:0042982). The researchers now have a clear hypothesis to test.

Entirely free for academic and non-profit research use. Limitations

Which you are using (e.g., Ensembl, Entrez, Gene Symbols)

Navigate to david.ncifcrf.gov . Paste your gene list (e.g., a column of 200 gene symbols) into the upload window. Select the correct identifier type (e.g., "OFFICIAL_GENE_SYMBOL"). Choose the list type ("Gene List").

Choose your desired analysis module. For most standard discovery workflows, clicking on or Functional Annotation Clustering will yield the most comprehensive initial insights. Step 4: Interpret and Export the Data