EGAN: Exploratory Gene Association Networks

Overview

Journal Bioinformatics

Publisher Oxford University Press

Specialty Biology

Date 2009 Nov 26

PMID 19933825

Citations 31

Authors

Jesse Paquette

Taku Tokuyasu

Affiliations

Soon will be listed here.

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.

Citing Articles

Reproductomics: Exploring the Applications and Advancements of Computational Tools.

SENGUPTA P, Dutta S, Liew F, Samrot A, Dasgupta S, Rajput M Physiol Res. 2024; 73(5):687-702.

PMID: 39530905 PMC: 11629954. DOI: 10.33549/physiolres.935389.

MCM2 and Carbonic Anhydrase 9 Are Novel Potential Targets for Neuroblastoma Pharmacological Treatment.

Garbati P, Barbieri R, Cangelosi D, Zanon C, Costa D, Eva A Biomedicines. 2020; 8(11).

PMID: 33153038 PMC: 7692293. DOI: 10.3390/biomedicines8110471.

SATB1 establishes ameloblast cell polarity and regulates directional amelogenin secretion for enamel formation.

Zhang Y, Zheng L, Le M, Nakano Y, Chan B, Huang Y BMC Biol. 2019; 17(1):104.

PMID: 31830989 PMC: 6909472. DOI: 10.1186/s12915-019-0722-9.

CCR7 high expression leads to cetuximab resistance by cross-talking with EGFR pathway in PI3K/AKT signals in colorectal cancer.

Gao L, Xu J, He G, Huang J, Xu W, Qin J Am J Cancer Res. 2019; 9(11):2531-2543.

PMID: 31815051 PMC: 6895444.

MicroRNA and their target mRNAs change expression in whole blood of patients after intracerebral hemorrhage.

Cheng X, Ander B, Jickling G, Zhan X, Hull H, Sharp F J Cereb Blood Flow Metab. 2019; 40(4):775-786.

PMID: 30966854 PMC: 7168793. DOI: 10.1177/0271678X19839501.

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