A researcher finds 200 genes upregulated in a metastatic tumor sample. Using DAVID, they discover significant enrichment for "Extracellular matrix organization" and "TGF-beta signaling pathway." This immediately suggests a mechanism for invasion.
: A gene-centered database that integrates heterogeneous gene annotation resources from dozens of public bioinformatics databases, centralized by the DAVID Gene Concept—a single-linkage method that agglomerates tens of millions of diverse gene/protein identifiers.
The 2025/2026 updates have modernized the platform, added cross-species capabilities, and expanded its reach to more than 55,000 species. With over 80,000 citations and continued active use across the biomedical research community, DAVID remains an essential resource for extracting biological meaning from high-throughput data. As we look to the future, the integration of graph database technology and continued algorithm improvements promise to keep DAVID at the forefront of functional annotation for years to come. david bioinformatics resources
(low, medium, or high): Higher stringency produces fewer but more specific clusters.
| Tool | Core Function | | :--- | :--- | | | The flagship tool for identifying enriched biological themes, including Gene Ontology (GO) terms and KEGG pathways. | | Functional Annotation Clustering | Groups together redundant or related annotation terms, helping users distill large result sets into core biological themes. | | Functional Annotation Table | Provides a detailed tabular view mapping each gene to its associated annotations across all categories. | | Gene Functional Classification | Groups genes within a list based on the similarity of their functional annotations, helping to identify functional modules. | | Gene ID Conversion Tool | Converts gene or protein identifiers from one format to another, a critical step for integrating data from different sources. | | Gene Name Batch Viewer | Allows users to explore and retrieve detailed information for multiple genes simultaneously in a batch mode. | A researcher finds 200 genes upregulated in a
including WikiPathways and PathBank. Conclusion
: Some background knowledge is helpful for optimal interpretation The 2025/2026 updates have modernized the platform, added
Instead of reporting redundant, overlapping terms, DAVID groups related annotations (e.g., GO terms, pathways, protein domains) into clusters, helping users focus on major biological themes.
A major challenge in gene list analysis is redundancy. Often, hundreds of related genes will lead to overlapping or highly similar annotations. The combats this by grouping functionally related genes and terms into manageable, organized biological modules. By using agglomeration algorithms, it condenses a massive gene list into a smaller number of clearly defined biological modules, allowing you to quickly visualize network contexts and core themes. 2. Functional Annotation Chart