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

Resource history | v1 (current) | created by semantic-scholar-bot on Jun 30, 2020

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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

v2 | detached by janarez on Jun 30, 2020 | Edit topic "Chemistry"

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