Learn to use DAVID, a free, web-based bioinformatics tool that analyzes large lists of genes to provide biological meaning. DAVID will translate any gene list from any source (microarray probe IDs, sequence accession numbers, gene symbols, etc.) and provide a list of the corresponding annotations. Furthermore, DAVID will statistically cluster the annotations into functionally related groups to readily present a picture of the overall biology associated with the entire gene list. Advanced visualization tools allow you to view biological annotations via heat maps to easily detect patterns and overlaps. The power of DAVID rests in its knowledgebase of over 90 million gene annotations, including entries for Gene Ontologies, protein interactions, diseases, and literature, among other things. Perfect for microarray analysis or any time you want to discover the biology of a large gene set. DAVID will help you find the answers. Download the example data file by clicking here.

You will learn:

  • to upload a gene list to DAVID
  • to select annotation categories
  • to perform and interpret functional analyses
  • to visualize data using heat maps
  • to translate gene lists into other identifications


This tutorial is a part of the tutorial group Text-related tools. You might find the other tutorials in the group interesting:

PubMatrix: PubMatrix, an on-line tool for multiplex literature mining of the PubMed database.

iHOP: Information Hyperlinked Over Proteins text mining resource

STRING: known and predicted protein-protein interactions

Textpresso: Text-mining the biological literature

Gene Ontology: Gene Ontology controlled vocabularies in biology

XplorMed: eXploring Medline abstracts

GoMiner: Ascribe biological significance to large lists of genes by annotating them with their corresponding GO categories

Controlled Vocabularies: Standardized term lists that can enhance interactions with biological databases

Entrez Overview: Overview of NCBI's Entrez Search Resource

PubMed: PubMed access to biomedical research literature


Expression : This category may contain various expression data collections, annotation tools, or repositories of expression data.

Pathways and Interactions : Tools that are involved with protein interactions and pathway features. Some tools are primarily repositories and some offer analysis options.


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