DAVID provides deep integration with major public resources:
Examine the clusters. A Cluster Enrichment Score > 1.3 is typically considered significant, but scores > 2.0 or > 3.0 indicate very strong biological relevance. Click on each cluster to expand it and see the individual annotation terms (GO terms, KEGG pathways, etc.) along with their raw p-values, Bonferroni-corrected p-values, and Benjamini-Hochberg FDR values. david bioinformatics resources
: Uses a fuzzy clustering algorithm to group genes into biological modules based on their functional similarities. DAVID provides deep integration with major public resources:
The is a leading web-based bioinformatics resource designed to extract biological meaning from large gene and protein lists. It is widely used by researchers to identify enriched biological themes, visualize pathways, and perform gene ID conversions. Key Features & Strengths : Uses a fuzzy clustering algorithm to group
: Allows users to convert gene lists between species (e.g., mouse to human) to leverage better-annotated model organisms for analysis.