EGAN: exploratory gene association networks

نویسندگان

  • Jesse Paquette
  • Taku A. Tokuyasu
چکیده

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.

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عنوان ژورنال:
  • Bioinformatics

دوره 26 2  شماره 

صفحات  -

تاریخ انتشار 2010