: DAVID excels at cross-referencing hundreds of different gene and protein identifier types, consolidating them into a single, unified "DAVID Gene" concept to ensure no data is lost during analysis. DAVID Functional Annotation Bioinformatics Microarray Analysis (.gov) +9 Expanding Knowledge and Capability Since its debut in 2003, DAVID has undergone massive updates to remain relevant in modern biology. A significant 2021 update expanded its taxonomy coverage from roughly 17,000 to over 55,000 organisms. It now integrates diverse data types beyond standard GO terms, including: PubMed Central (PMC) (.gov) +2 Small molecule and drug interactions from PubChem and DrugBank . Tissue expression information from the Human Protein Atlas . Disease associations from DisGeNET . Conclusion By bridging the gap between raw genomic data and biological interpretation, DAVID remains an essential tool for biologists. Its ability to cluster redundant information and provide statistical validation for biological themes ensures that researchers can confidently move from "what genes changed" to "what biological processes are occurring". PubMed Central (PMC) (.gov) +1 Further Exploration Read the 2021 Update Report in
But DAVID is
Researchers typically input a list of differentially expressed genes to determine which biological pathways are up- or down-regulated in their experiment. david functional annotation
Your brain cannot synthesize that noise. DAVID can.
If you haven't used DAVID in a few years, go back. The 2021/2024 updates fixed the biggest complaint: : DAVID excels at cross-referencing hundreds of different
Paste your gene symbols, Entrez IDs, or Affymetrix probes. You don't need to know the format; DAVID auto-detects it.
Let’s say you study Alzheimer’s. Your RNA-seq says APP, PSEN1, BACE1, and MAPT are up. It now integrates diverse data types beyond standard
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?