A gene expression/molecular abundance repository and a curated, online resource for gene expression data
Tutorial and training materials by OpenHelix
|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.|
- 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
Recent BioMed Central research articles citing this resource
Chou Chih-Hung et al., A computational approach for identifying microRNA-target interactions using high-throughput CLIP and PAR-CLIP sequencing Selected articles from the Eleventh Asia Pacific Bioinformatics Conference (APBC 2013): Genomics The Eleventh Asia Pacific Bioinformatics Conference (APBC 2013). BMC Genomics (2013) doi:10.1186/1471-2164-14-S1-S2
Mader Diana et al., Role of N -terminal protein formylation in central metabolic processes in Staphylococcus aureus Microbial biochemistry, physiology and metabolism. BMC Microbiology (2013) doi:10.1186/1471-2180-13-7
Chen Y Edward et al., Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool Knowledge-based analysis. BMC Bioinformatics (2013) doi:10.1186/1471-2105-14-128
Ohira Koji et al., Synaptosomal-associated protein 25 mutation induces immaturity of the dentate granule cells of adult mice. Molecular Brain (2013) doi:10.1186/1756-6606-6-12
Chen Zhongxue et al., Detecting differentially methylated loci for Illumina Array methylation data based on human ovarian cancer data Proceedings of the 2011 International Conference on Bioinformatics and Computational Biology (BIOCOMP"11) The 2011 International Conference on Bioinformatics and Computational Biology (BIOCOMP"11). BMC Medical Genomics (2013) doi:10.1186/1755-8794-6-S1-S9
More about the resource:
GEO can be browsed or queried in several ways, including basic searches, advanced searches, and using nucleotide sequences to begin a search. GEO contains information about platforms, data series, samples, and more. Analysis tools including clustering features are available. Learning to mine the GEO data will provide the researcher with copious amounts of information about their species, tissues, or genes of interest.
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