The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Extracting Biological Meaning from Large Gene Lists with DAVID
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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DAVID: Database for Annotation, Visualization, and Integrated Discovery
Dennis, G., Sherman, B. T., Hosack, D. A., Yang, J., Gao, W., Lane, H. C., & Lempicki, R. A. (2003) · Genome Biology · doi:10.1186/gb-2003-4-5-p3 · Cited by 9,327
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Metadata
- Authors
- Huang, D. W., Sherman, B. T., Zheng, X., Yang, J., Imamichi, T., Stephens, R., & Lempicki, R. A.
- Venue
- Current Protocols in Bioinformatics
- Publisher
- Wiley
- Published
- 2009-09
- Volume
- 27
- Issue
- 1
- Pages
- Unit 13.11-Unit 13.11
- ISSN
- 1934-3396 (ISSN-L)
- 1934-340X
- OpenAlex
- W1677560495
- Cited by
- 456
- References
- 1
- FWCI
- 5.28
- Type
- journal article
- Language
- en
- Open access
- closed
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