This is one of DAVID's most powerful features. The tool groups similar, redundant, or related annotation terms (e.g., related GO terms) into "clusters." This reduces redundancy and makes it easier to identify broad biological themes rather than hundreds of individual, related terms. D. Gene Functional Classification
Which (like KEGG or GO) you want to focus on? Share public link
DAVID remains under active development. The 2025 update (published May 2026 in Nucleic Acids Research ) introduced several major improvements:
DAVID Bioinformatics Resources: A Comprehensive Guide to Functional Annotation and Enrichment david bioinformatics resources
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Select a suitable background, such as the entire genome or the specific microarray probe set used.
This tool lists individual annotation terms that are statistically overrepresented. This is one of DAVID's most powerful features
The DAVID Bioinformatics Resources suite bridges the gap between raw genomic data and biological discovery. By automating the aggregation of functional data and applying robust statistical clustering algorithms, it allows researchers to decipher the complex molecular mechanisms hidden within large gene lists. Whether analyzing differential gene expression, proteomics, or GWAS data, DAVID remains an indispensable asset in the global bioinformatics toolkit.
Added data on drug-gene interactions (DrugBank), small molecule-gene interactions (PubChem), disease associations (DisGeNET), and new pathway sources (WikiPathways, PathBank).
The is the heart of DAVID. It identifies which biological processes, molecular functions, cellular components, and pathways are overrepresented in your gene list relative to a background reference. The tool uses Fisher‘s Exact Test for overrepresentation analysis (ORA), supplemented by multiple hypothesis testing correction (e.g., FDR) to reduce false positives. Gene Functional Classification Which (like KEGG or GO)
Integration of even more comprehensive annotation sources
: DAVID Gene Functional Classification Tool, DAVID Functional Annotation Tool, DAVID Gene ID Conversion Tool, DAVID Gene Name Viewer, and DAVID NIAID Pathogen Genome Browser.
For mass spectrometry-based proteomics experiments, DAVID helps annotate identified proteins and discover enriched functional categories, bridging the gap between protein identification and biological interpretation.
DAVID spread through academic labs like a wildfire. By 2009, it had been cited in over 10,000 scientific papers. Today, that number exceeds . It has become a standard requirement in papers: "Gene list was analyzed using DAVID Bioinformatics Resources."
If the Chart Report gives you too many redundant terms, return to the Functional Annotation Tool page and click the button. This runs the Functional Annotation Clustering algorithm, which groups related terms into biologically coherent clusters. Each cluster is assigned an Enrichment Score (a geometric mean of p-values), and you can examine all terms within a cluster with a single click.