注释
标识符
基因注释
计算生物学
计算机科学
聚类分析
基因
上传
协议(科学)
表(数据库)
生物学数据
生物信息学
基因预测
生物
数据挖掘
基因组
遗传学
万维网
人工智能
医学
病理
程序设计语言
替代医学
作者
Da Wei Huang,Brad T. Sherman,Richard A. Lempicki
出处
期刊:Nature Protocols
[Springer Nature]
日期:2008-12-18
卷期号:4 (1): 44-57
被引量:30926
标识
DOI:10.1038/nprot.2008.211
摘要
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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