Extracting biological meaning from large gene lists with DAVID.
Extracting biological meaning from large gene lists with DAVID.
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DOI：
10.1002/0471250953.bi1311s27
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发表时间：
2009-09-01
影响因子：
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通讯作者：
Lempicki, Richard A
中科院分区：
文献类型：
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作者：
Huang, Da Wei;Sherman, Brad T;Lempicki, Richard A
高通量基因组学筛选研究，如微阵列、蛋白质组学等，通常产生大的、“有趣的”基因列表，大小从数百到数千个基因不等。考虑到从功能上解释如此大的基因列表的挑战，有必要将生物信息学工具纳入分析。大卫是一个基于Web的应用程序，它提供了一个高通量和整合的基因功能注释环境，以系统地提取大型基因列表背后的生物学主题。大卫的高通量基因功能分析将提供重要的见解，使研究人员能够了解其给定基因组研究中的生物学主题。本单元将描述使用大卫工具的分步程序，以及大卫分析中的简要原理和关键参数。
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. High-throughput gene functional analysis with DAVID will provide important insights that allow investigators to understand the biological themes within their given genomic study. This unit will describe step-by-step procedures to use DAVID tools, as well as a brief rationale and key parameters in the DAVID analysis.