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Gene Mapping, Discovery, and Expression

Volume 338 of the series Methods in Molecular Biology pp 175-190

Mining Microarray Data at NCBI’s Gene Expression Omnibus (GEO)*

  • Tanya BarrettAffiliated withNational Center for Biotechnology Information, National Institutes of Health
  • , Ron EdgarAffiliated withNational Center for Biotechnology Information, National Institutes of Health

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Abstract

The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) has emerged as the leading fully public repository for gene expression data. This chapter describes how to use Web-based interfaces, applications, and graphics to effectively explore, visualize, and interpret the hundreds of microarray studies and millions of gene expression patterns stored in GEO. Data can be examined from both experimentcentric and gene-centric perspectives using user-friendly tools that do not require specialized expertise in microarray analysis or time-consuming download of massive data sets. The GEO database is publicly accessible through the World Wide Web at http://www. ncbi.nlm.nih.gov/geo.

Key Words

Microarray gene expression database data mining