ImaGEO: integrative gene expression meta-analysis from GEO database

Bioinformatics. 2019 Mar 1;35(5):880-882. doi: 10.1093/bioinformatics/bty721.


Summary: 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 (geMAs) 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 geMAs 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.

Availability and implementation: ImaGEO is accessible at

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Databases, Factual
  • Gene Expression
  • Gene Expression Profiling*
  • Reproducibility of Results


  • Biomarkers