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GEOGLE offers a rapid and convenient way for searching relevant experimental datasets, pathways and biological terms according to multiple types of queries: including biomedical vocabularies, GDS IDs, gene IDs, pathway names and signature list. Moreover, GEOGLE summarizes the signature genes from a subset of GDSes and estimates the correlation between gene expression and the phenotypic distinction with an integrated p value.<\/jats:p>\n          <\/jats:sec>\n          <jats:sec>\n            <jats:title>Conclusion<\/jats:title>\n            <jats:p>This approach performing global searching of expression data may expand the traditional way of collecting heterogeneous gene expression experiment data. GEOGLE is a novel tool that provides researchers a quantitative way to understand the correlation between gene expression and phenotypic distinction through meta-analysis of gene expression datasets from different experiments, as well as the biological meaning behind. The web site and user guide of GEOGLE are available at: <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" xlink:href=\"http:\/\/omics.biosino.org:14000\/kweb\/workflow.jsp?id=00020\" ext-link-type=\"uri\">http:\/\/omics.biosino.org:14000\/kweb\/workflow.jsp?id=00020<\/jats:ext-link>\n            <\/jats:p>\n          <\/jats:sec>","DOI":"10.1186\/1471-2105-10-264","type":"journal-article","created":{"date-parts":[[2009,8,25]],"date-time":"2009-08-25T06:16:13Z","timestamp":1251180973000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["GEOGLE: context mining tool for the correlation between gene expression and the phenotypic distinction"],"prefix":"10.1186","volume":"10","author":[{"given":"Yao","family":"Yu","sequence":"first","affiliation":[]},{"given":"Kang","family":"Tu","sequence":"additional","affiliation":[]},{"given":"Siyuan","family":"Zheng","sequence":"additional","affiliation":[]},{"given":"Yun","family":"Li","sequence":"additional","affiliation":[]},{"given":"Guohui","family":"Ding","sequence":"additional","affiliation":[]},{"given":"Jie","family":"Ping","sequence":"additional","affiliation":[]},{"given":"Pei","family":"Hao","sequence":"additional","affiliation":[]},{"given":"Yixue","family":"Li","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2009,8,25]]},"reference":[{"issue":"6","key":"2994_CR1","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.1172\/JCI23412","volume":"115","author":"GV Glinsky","year":"2005","unstructured":"Glinsky GV, Berezovska O, Glinskii AB: Microarray analysis identifies a death-from-cancer signature predicting therapy failure in patients with multiple types of cancer. 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