{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T07:02:18Z","timestamp":1762671738375},"reference-count":9,"publisher":"Oxford University Press (OUP)","issue":"2","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,1,15]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>Summary: Exploratory Gene Association Networks (EGAN) is a Java desktop application that provides a point-and-click environment for contextual graph visualization of high-throughput assay results. By loading the entire network of genes, pathways, interactions, annotation terms and literature references directly into memory, EGAN allows a biologist to repeatedly query and interpret multiple experimental results without incurring additional delays for data download\/integration. Other compelling features of EGAN include: support for diverse -omics technologies, a simple and interactive graph display, sortable\/searchable data tables, links to external web resources including \u2265240 000 articles at PubMed, hypergeometric and GSEA-like enrichment statistics, pipeline-compatible automation via scripting and the ability to completely customize and\/or supplement the network with new\/proprietary data.<\/jats:p>\n               <jats:p>Availability: Runs on most operating systems via Java; downloadable from http:\/\/akt.ucsf.edu\/EGAN\/<\/jats:p>\n               <jats:p>Contact: \u00a0jesse.paquette@cc.ucsf.edu<\/jats:p>\n               <jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btp656","type":"journal-article","created":{"date-parts":[[2009,11,24]],"date-time":"2009-11-24T03:58:40Z","timestamp":1259035120000},"page":"285-286","source":"Crossref","is-referenced-by-count":48,"title":["EGAN: exploratory gene association networks"],"prefix":"10.1093","volume":"26","author":[{"given":"Jesse","family":"Paquette","sequence":"first","affiliation":[{"name":"Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94143, USA"}]},{"given":"Taku","family":"Tokuyasu","sequence":"additional","affiliation":[{"name":"Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, CA 94143, USA"}]}],"member":"286","published-online":{"date-parts":[[2009,11,23]]},"reference":[{"key":"2023012508212685500_B1","volume-title":"Graphs and Hypergraphs Elsevier Science Ltd.","author":"Berge","year":"1985"},{"key":"2023012508212685500_B2","doi-asserted-by":"crossref","first-page":"2366","DOI":"10.1038\/nprot.2007.324","article-title":"Integration of biological networks and gene expression data using Cytoscape","volume":"2","author":"Cline","year":"2007","journal-title":"Nat. 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