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
Sun Fenglong et al., Whole-genome discovery of miRNAs and their targets in wheat ( Triticum aestivum L.) Genetics and crop biotechnology. BMC Plant Biology (2014) doi:10.1186/1471-2229-14-142
Lopes SS Flavio et al., Analysis of neuroretinal rim distribution and vascular pattern in eyes with presumed large physiological cupping: a comparative study Glaucoma. BMC Ophthalmology (2014) doi:10.1186/1471-2415-14-72
Pajoro Alice et al., Dynamics of chromatin accessibility and gene regulation by MADS-domain transcription factors in flower development. Genome Biology (2014) doi:10.1186/gb-2014-15-3-r41
Teku N Gabriel et al., Identification of core T cell network based on immunome interactome Systems physiology, pharmacology and medicine. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-17
Larsen J Martin et al., RNA profiling reveals familial aggregation of molecular subtypes in non-BRCA1/2 breast cancer families Functional and structural genomics. BMC Medical Genomics (2014) doi:10.1186/1755-8794-7-9
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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