We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
EGAN: exploratory gene association networks.
- Authors
Paquette, Jesse; Tokuyasu, Taku
- Abstract
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.
- Publication
Bioinformatics (Oxford, England), 2010, Vol 26, Issue 2, p285
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btp656