GEE: An Informatics Tool for Gene Expression Data Explore / 대한의료정보학회지
Healthcare Informatics Research
; : 81-88, 2016.
Article
in En
| WPRIM
| ID: wpr-168209
Responsible library:
WPRO
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.
Key words
Full text:
1
Index:
WPRIM
Main subject:
Research Design
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Base Sequence
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Gene Expression
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Information Storage and Retrieval
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Microarray Analysis
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Informatics
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Search Engine
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Epigenomics
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Mobile Applications
Language:
En
Journal:
Healthcare Informatics Research
Year:
2016
Type:
Article