Abstract
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.
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