EGAN: exploratory gene association networks | Zendy

Jesse Paquette | Zendy; Taku A. Tokuyasu | Zendy

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EGAN: exploratory gene association networks

Author(s) -

Jesse Paquette,

Taku A. Tokuyasu

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp656

Subject(s) - association (psychology) , computational biology , computer science , exploratory research , gene , genetic association , genetics , biology , single nucleotide polymorphism , genotype , psychology , sociology , anthropology , psychotherapist

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.

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