Ontology highlight
ABSTRACT: Unlabelled
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 > or = 240 000 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.Availability
Runs on most operating systems via Java; downloadable from http://akt.ucsf.edu/EGAN/.Supplementary information
Supplementary data are available at Bioinformatics online.
SUBMITTER: Paquette J
PROVIDER: S-EPMC2804305 | biostudies-literature | 2010 Jan
REPOSITORIES: biostudies-literature
Bioinformatics (Oxford, England) 20091123 2
<h4>Unlabelled</h4>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 com ...[more]