2009
DOI: 10.1002/0471250953.bi1311s27
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Extracting Biological Meaning from Large Gene Lists with DAVID

Abstract: High‐throughput genomics screening studies, such as microarray, proteomics, etc., often result in large, “interesting” gene lists, ranging in size from hundreds to thousands of genes. Given the challenges of functionally interpreting such large gene lists, it is necessary to incorporate bioinformatics tools in the analysis. DAVID is a Web‐based application that provides a high‐throughput and integrative gene functional annotation environment to systematically extract biological themes behind large gene lists. … Show more

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Cited by 377 publications
(305 citation statements)
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“…Briefly, UniProt accession numbers were converted into GeneIDs using the UniProt Retrieve/ID mapping tool (http://www.uniprot.org). The GeneIDs were then converted into official gene symbols using DAVID (35,36). Human GO slim terms were then mapped to the set of official gene symbols using the Generic GO Term Mapper (http://go.princeton.edu).…”
Section: Gene Ontology Analysismentioning
confidence: 99%
“…Briefly, UniProt accession numbers were converted into GeneIDs using the UniProt Retrieve/ID mapping tool (http://www.uniprot.org). The GeneIDs were then converted into official gene symbols using DAVID (35,36). Human GO slim terms were then mapped to the set of official gene symbols using the Generic GO Term Mapper (http://go.princeton.edu).…”
Section: Gene Ontology Analysismentioning
confidence: 99%
“…[24][25][26] This web-based bioinformatics platform allows the identification of functionally related groups of genes and genes that are part of the same functional pathway. DAVID contains a collection of pathways, ontologies terms and other categories.…”
Section: Pathway Analysismentioning
confidence: 99%
“…All significant genes (log2 fold change of below -1 or above 1, with a p-value of 0.05 and below) were clustered using DAVID Bioinformatics Resources 6.7 (https:// david.ncifcrf.gov/tools.jsp) 33 and GO Enrichment Analysis j Gene Ontology Consortium annotation tool (http:// geneontology.org/page/go-enrichment-analysis). Clusters of interest were analyzed with a Python program (see Supp .…”
Section: Cluster Analysismentioning
confidence: 99%