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.
%0 Journal Article
%1 Barrett2006Mining
%A Barrett, Tanya
%A Edgar, Ron
%B Gene Mapping, Discovery, and Expression
%C New Jersey
%D 2006
%I Humana Press
%J Methods in molecular biology (Clifton, N.J.)
%K data-analysis database gene-expression microarray
%P 175--190
%R 10.1385/1-59745-097-9:175
%T Mining microarray data at NCBI's Gene Expression Omnibus (GEO)*.
%U http://dx.doi.org/10.1385/1-59745-097-9:175
%V 338
%X 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.
%@ 1-59745-097-9
@article{Barrett2006Mining,
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.},
added-at = {2018-12-02T16:09:07.000+0100},
address = {New Jersey},
author = {Barrett, Tanya and Edgar, Ron},
biburl = {https://www.bibsonomy.org/bibtex/2a8fb8fbb7e0419ba4db3e36fbecae9fd/karthikraman},
booktitle = {Gene Mapping, Discovery, and Expression},
citeulike-article-id = {920062},
citeulike-linkout-0 = {http://dx.doi.org/10.1385/1-59745-097-9:175},
citeulike-linkout-1 = {http://view.ncbi.nlm.nih.gov/pubmed/16888359},
citeulike-linkout-2 = {http://www.hubmed.org/display.cgi?uids=16888359},
citeulike-linkout-3 = {http://www.springerlink.com/content/q60426h47378526q},
day = 1,
doi = {10.1385/1-59745-097-9:175},
interhash = {11b60a169ac0c7ff27cb7380b9633957},
intrahash = {a8fb8fbb7e0419ba4db3e36fbecae9fd},
isbn = {1-59745-097-9},
issn = {1064-3745},
journal = {Methods in molecular biology (Clifton, N.J.)},
keywords = {data-analysis database gene-expression microarray},
month = apr,
pages = {175--190},
pmid = {16888359},
posted-at = {2010-10-07 10:03:02},
priority = {2},
publisher = {Humana Press},
series = {Methods in Molecular Biology},
timestamp = {2018-12-02T16:09:07.000+0100},
title = {Mining microarray data at {NCBI}'s Gene Expression Omnibus ({GEO})*.},
url = {http://dx.doi.org/10.1385/1-59745-097-9:175},
volume = 338,
year = 2006
}