EGAN: exploratory gene association networks
EGAN: exploratory gene association networks
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DOI：
10.1093/bioinformatics/btp656
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发表时间：
2010-01-15
期刊：
影响因子：
5.8
通讯作者：
Tokuyasu, Taku
中科院分区：
文献类型：
--
作者：
Paquette, Jesse;Tokuyasu, Taku
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 >= 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.
