title: GEE: An Informatics Tool for Gene Expression Data Explore.
abstract: OBJECTIVE
  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.
authors.affiliation: Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Soo Youn
authors.initials: SY
authors.lastname: Lee
authors.affiliation: Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Chan Hee
authors.initials: CH
authors.lastname: Park
authors.affiliation: Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Jun Hee
authors.initials: JH
authors.lastname: Yoon
authors.affiliation: Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Sunmin
authors.initials: S
authors.lastname: Yun
authors.affiliation: Seoul National University Biomedical Informatics (SNUBI), Seoul National University College of Medicine, Seoul, Korea.; Systems Biomedical Informatics-National Core Research Center (SBI-NCRC), Seoul National University College of Medicine, Seoul, Korea.
authors.forename: Ju Han
authors.initials: JH
authors.lastname: Kim
keywords: Microarray Analysis; Mobile Applications; RNA Sequence; Search Engine