Related Experiment Video
Updated: Mar 20, 2026
Analyzing Multifactorial RNA-Seq Experiments with DiCoExpress
Published on: July 29, 2022
GEE: An Informatics Tool for Gene Expression Data Explore
Soo Youn Lee1, Chan Hee Park1, Jun Hee Yoon1
1Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
Objectives:
Major public high-throughput functional genomic data repositories, including the Gene Expression Omnibus (GEO) and ArrayExpress have rapidly expanded. As a result, a large number of diverse high-throughput functional genomic data retrieval systems have been developed. However, high-throughput functional genomic data retrieval remains challenging.
Methods:
We developed Gene Expression data Explore (GEE), the first powerful, flexible web and mobile search application for searching whole-genome epigenetic data and microarray data in public databases, such as GEO and ArrayExpress.
Results:
GEE provides an elaborate, convenient interface of query generation competences not available via various high-throughput functional genomic data retrieval systems, including GEO, ArrayExpress, and Atlas. In particular, GEE provides a suitable query generator using eVOC, the Experimental Factor Ontology (EFO), which is well represented with a variety of high-throughput functional genomic data experimental conditions. In addition, GEE provides an experimental design query constructor (EDQC), which provides elaborate retrieval filter conditions when the user designs real experiments.
Conclusions:
The web version of GEE is available at http://www.snubi.org/software/gee, and its app version is available from the Apple App Store.
