David Bioinformatics Resources |work| -

DAVID solves this using to group similar or overlapping annotations into distinct clusters. Instead of looking at 200 individual terms, the user sees 10 to 20 cohesive clusters. Each cluster is assigned an Enrichment Score (the geometric mean of p-values within the cluster). This reduces noise, saves time, and highlights the most robust biological themes driving the dataset.

This module groups related annotation terms into clusters. It prevents redundant data from cluttering your results.

DAVID integrates data from dozens of external biological databases. This provides a holistic view of gene function. david bioinformatics resources

Given the high citation count (>80,000 total, including 5,656 citations in 2025 alone) and the active 2025–2026 publication record, the but has undergone significant backend changes that have broken some legacy integrations.

The name was intentionally approachable. Unlike intimidating names like "Multivariate Functional Annotation Suite," "DAVID" felt friendly. The logo often featured a stylized slingshot (as in David vs. Goliath), representing the idea that a small tool can help a biologist take down the "giant" problem of big data. DAVID solves this using to group similar or

If you discover a critical signaling pathway via KEGG on DAVID, verify the finding by checking the corresponding annotation groups within the Reactome or GO categories.

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"). This reduces noise, saves time, and highlights the

Avoid uploading your entire dataset. For optimal results, restrict your input list to significantly altered genes (e.g., genes showing a fold-change ≥2is greater than or equal to 2 and an adjusted p-value

The is a premier solution to this problem. As a comprehensive, web-based suite of bioinformatics tools, DAVID provides investigators with a systematic pathway to understand the biological themes behind large lists of genes or proteins. What is DAVID Bioinformatics Resources?

Click on your desired annotation module to view and download results. Supported Annotation Categories