Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources
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DOI：
10.1038/nprot.2008.211
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发表时间：
2009-01-01
期刊：
影响因子：
14.8
通讯作者：
Lempicki, Richard A.
中科院分区：
文献类型：
--
作者：
Huang, Da Wei;Sherman, Brad T.;Lempicki, Richard A.
大卫生物信息学资源包括一个综合的生物学知识库和分析工具，旨在从大型基因/蛋白质列表中系统地提取生物学意义。该协议解释了如何使用大卫，一个高通量和集成的数据挖掘环境，分析来自高通量基因组实验的基因列表。该程序首先需要上传包含任何数量的共同基因标识符的基因列表，然后使用一个或多个文本和路径挖掘工具进行分析，例如基因功能分类，功能注释图或聚类和功能注释表。通过遵循该方案，研究人员能够深入了解基因组规模研究中丰富的基因列表中的生物学主题。
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.