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
Hill K Victoria et al., Stability of the CpG island methylator phenotype during glioma progression and identification of methylated loci in secondary glioblastomas Genetics, genomics and epigenetics. BMC Cancer (2014) doi:10.1186/1471-2407-14-506
Melloni EM Giorgio et al., DOTS-Finder: a comprehensive tool for assessing driver genes in cancer genomes 1. Genomics epigenomics of disease. Genome Medicine (2014) doi:10.1186/gm563
Piro M Rosario et al., Network topology-based detection of differential gene regulation and regulatory switches in cell metabolism and signaling Methods, software and technology. BMC Systems Biology (2014) doi:10.1186/1752-0509-8-56
Sanz-Pamplona Rebeca et al., Aberrant gene expression in mucosa adjacent to tumor reveals a molecular crosstalk in colon cancer. Molecular Cancer (2014) doi:10.1186/1476-4598-13-46
Li Ting et al., Fenofibrate induces apoptosis of triple-negative breast cancer cells via activation of NF-κB pathway Experimental therapeutics and drug development. BMC Cancer (2014) doi:10.1186/1471-2407-14-96
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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