Mining microarray data at NCBI's Gene Expression Omnibus (GEO)*.

Methods in molecular biology (Clifton, N.J.) ·Vol. 338 ·2006-00-00 ·Pages 175-90

Barrett T, Edgar R

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 experiment-centric 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.

MeSH Terms

Algorithms Animals Cluster Analysis Data Interpretation, Statistical Databases, Genetic Gene Expression Profiling/statistics & numerical data Humans Information Storage and Retrieval Internet National Library of Medicine (U.S.) Oligonucleotide Array Sequence Analysis/statistics & numerical data Software United States

Authors & Affiliations

2 authors, click to expand affiliations / ORCID

Barrett Tanya

National Center for Biotechnology Information, National Institutes of Health, Bethesda, MD, USA.

Edgar Ron

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11 references, click to expand

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Article Info

Journal

Methods in molecular biology (Clifton, N.J.)

Abbr.

Methods Mol Biol

ISSN

1064-3745

DOI

10.1385/1-59745-097-9:175

Published

2006-00-00

Pages

175-90

Language

English

Region

United States

NLM ID

9214969

PMCID

PMC1619899

Subset

External Links

PubMed source DOI: 10.1385/1-59745-097-9:175 PMC Full Text

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Mining microarray data at NCBI's Gene Expression Omnibus (GEO)*.

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