Users can click on specific terms to view a list of the associated genes, download charts, or launch the "Pathway Viewer" to map genes onto KEGG diagrams.
When a user submits a gene list (the "study list"), DAVID compares the frequency of a specific biological term in that list against its frequency in a "background list" (usually the entire genome of the organism). The EASE Score
by clicking on the red "T" icon in cluster reports to access the full term report. david bioinformatics resources
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
To obtain reproducible and publication-ready results from DAVID, implement the following methodologies: Users can click on specific terms to view
Functional Annotation Clustering: This is perhaps DAVID’s most famous feature. It takes hundreds of redundant biological terms and groups them into clusters. This allows researchers to see the "big picture" themes, such as "Cell Cycle" or "Apoptosis," rather than getting lost in individual, repetitive data points.
The foundation of the platform is the , a centralized repository that integrates heterogeneous data from dozens of public resources. It uses a unique "DAVID Gene Concept"—a single-linkage algorithm—to agglomerate millions of diverse gene and protein identifiers from different databases into a unified system. Choose your desired analysis module
: Unlike many competitors, DAVID includes built-in gene identifier conversion, eliminating the need for separate preprocessing steps.