Title |
ImaGEO: integrative gene expression meta-analysis from GEO database.
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Published in |
Bioinformatics, August 2018
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DOI | 10.1093/bioinformatics/bty721 |
Pubmed ID | |
Authors |
Daniel Toro-Domínguez, Jordi Martorell-Marugán, Raúl López-Domínguez, Adrián García-Moreno, Víctor González-Rumayor, Marta E Alarcón-Riquelme, Pedro Carmona-Sáez |
Abstract |
The Gene Expression Omnibus (GEO) database provides an invaluable resource of publicly available gene expression data that can be integrated and analyzed to derive new hypothesis and knowledge. In this context, gene expression meta-analysis is increasingly used in several fields to improve study reproducibility and discovering robust biomarkers. Nevertheless, integrating data is not straightforward without bioinformatics expertise. Here, we present ImaGEO, a web tool for gene expression meta-analysis that implements a complete and comprehensive meta-analysis workflow starting from GEO dataset identifiers. The application integrates GEO datasets, applies different meta-analysis techniques and provides functional analysis results in an easy-to-use environment. ImaGEO is a powerful and useful resource that allows researchers to integrate and perform meta-analysis of GEO datasets to lead robust findings for biomarker discovery studies. ImaGEO is accessible at http://bioinfo.genyo.es/imageo/. Online-only Supplementary data available at the journal's web site. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 19% |
Spain | 6 | 16% |
France | 3 | 8% |
Germany | 2 | 5% |
United Kingdom | 2 | 5% |
Canada | 1 | 3% |
India | 1 | 3% |
Netherlands | 1 | 3% |
Colombia | 1 | 3% |
Other | 1 | 3% |
Unknown | 12 | 32% |
Demographic breakdown
Type | Count | As % |
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Scientists | 25 | 68% |
Members of the public | 12 | 32% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 94 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 17% |
Researcher | 16 | 17% |
Student > Master | 14 | 15% |
Student > Bachelor | 7 | 7% |
Other | 6 | 6% |
Other | 7 | 7% |
Unknown | 28 | 30% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 22 | 23% |
Agricultural and Biological Sciences | 15 | 16% |
Computer Science | 5 | 5% |
Pharmacology, Toxicology and Pharmaceutical Science | 4 | 4% |
Medicine and Dentistry | 4 | 4% |
Other | 11 | 12% |
Unknown | 33 | 35% |