Learn to use the Gene Expression Omnibus, or GEO, which is a valuable resource designed to store high-throughput gene expression and molecular abundance data. GEO acts as a repository for the data, and provides interfaces to search, retrieve, and display a wealth of information about genes in many species. This includes microarray data and many other high-throughput techniques. GEO is one of the many useful resources supported by the National Center for Biotechnology Information, or NCBI.

You will learn:

  • efficient ways to query GEO for specific genes or experimental designs
  • how to navigate through GEO output displays to find the specific information you want
  • how to navigate GEO


This tutorial is a part of the tutorial group Expression resources. You might find the other tutorials in the group interesting:

Functional Glycomics Gateway: The home for Functional Glycomics research

CleanEx: A Database of Heterogeneous Gene Expression Data Based on A Consistent Gene Nomenclature

Allen Mouse Brain Atlas: Mapped gene expression data in mouse brain

miRBase: microRNA sequences, targets and gene nomenclature

DBTSS: Database of Transcriptional Start Sites

Alternative Splicing and Transcript Diversity (ASTD) database: A bioinformatics resource for alternative splice events and transcripts for human, mouse, and rat

GENSAT: Provides an extensive amount of high quality images of gene expression in the central nervous system of the mouse.

ArrayExpress: A public repository for microarray gene expression data at the EBI


Algorithms and Analysis : This category contains various tools that may help perform analysis of different genomics data types. This may include sequence alignment, large-scale or complex queries, motif finding, or comparative assessments.

Expression : This category may contain various expression data collections, annotation tools, or repositories of expression data.

NCBI : This category includes resources maintained at the National Center for Biotechnology Information (NCBI).


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Recent BioMed Central research articles citing this resource

Behrend Anne et al., “The usual suspects”- analysis of transcriptome sequences reveals deviating B gene activity in C. vulgaris bud bloomers. BMC Plant Biology (2015) doi:10.1186/s12870-014-0407-z

Green B Benjamin et al., Age dependent changes in the LPS induced transcriptome of bovine dermal fibroblasts occurs without major changes in the methylome. BMC Genomics (2015) doi:10.1186/s12864-015-1223-z

Faus Isabel et al., Protein kinase GCN2 mediates responses to glyphosate in Arabidopsis Plant-biotic interactions. BMC Plant Biology (2015) doi:10.1186/s12870-014-0378-0

Wang Hsei-Wei et al., Discovering monotonic stemness marker genes from time-series stem cell microarray data Selected articles from the Thirteenth Asia Pacific Bioinformatics Conference (APBC 2015): Genomics The Thirteenth Asia Pacific Bioinformatics Conference (APBC 2015). BMC Genomics (2015) doi:10.1186/1471-2164-16-S2-S2

Merdad Adnan et al., Transcriptomics profiling study of breast cancer from Kingdom of Saudi Arabia revealed altered expression of Adiponectin and Fatty Acid Binding Protein4 : Is lipid metabolism associated with breast cancer? Selected articles from the 2nd International Genomic Medicine Conference (IGMC 2013): Genomics 2nd International Genomic Medicine Conference (IGMC 2013). BMC Genomics (2015) doi:10.1186/1471-2164-16-S1-S11