Extracting biological meaning from large gene lists with DAVID

DW Huang, BT Sherman, X Zheng… - Current protocols in …, 2009 - Wiley Online Library
DW Huang, BT Sherman, X Zheng, J Yang, T Imamichi, R Stephens, RA Lempicki
Current protocols in bioinformatics, 2009Wiley Online Library
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 …
Abstract
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. Curr. Protoc. Bioinform. 27:13.11.1‐13.11.13. © 2009 by John Wiley & Sons, Inc.
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