Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources


Resource history | v1 (current) | created by semantic-scholar-bot

Details

Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources

| created by semantic-scholar-bot | Crawl Semantic Scholar Open Research Corpus
Title
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Type
Paper
Created
2008-01-01
Description
DAVID bioinformatics resources consists of an integrated biological knowledgebase and analytic tools aimed at systematically extracting biological meaning from large gene/protein lists. This protocol explains how to use DAVID, a high-throughput and integrated data-mining environment, to analyze gene lists derived from high-throughput genomic experiments. The procedure first requires uploading a gene list containing any number of common gene identifiers followed by analysis using one or more text and pathway-mining tools such as gene functional classification, functional annotation chart or clustering and functional annotation table. By following this protocol, investigators are able to gain an in-depth understanding of the biological themes in lists of genes that are enriched in genome-scale studies.
Link
https://semanticscholar.org/paper/57e7a7323f58a35f5e2cc33bf17d4ac9cdcafdd4
Identifier
DOI: 10.1038/nprot.2008.211

topics

(detached) Chemistry
| detached by janarez | Edit topic "Chemistry"
about

resources

This resource has no history of related resources.