|
KMID : 0603720160220020081
|
|
Journal of Korean Society of Medical Informatics
2016 Volume.22 No. 2 p.81 ~ p.88
|
|
|
GEE: An Informatics Tool for Gene Expression Data Explore
|
|
Lee Soo-Youn
Park Chan-Hee
Yoon Jun-Hee
Yun Sun-Min
Kim Ju-Han
|
|
|
Abstract
|
|
|
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.
|
|
|
KEYWORD
|
|
|
Microarray Analysis, Search Engine, RNA Sequence, Mobile Applications
|
|
|
FullTexts / Linksout information
|
|
|
|
|
Listed journal information
|
|
  
|
|