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
Raymond R John Jr et al., Suppression of GNAI2 message in ovarian cancer. Journal of Ovarian Research (2014) doi:10.1186/1757-2215-7-6
Pentheroudakis George et al., A study of gene expression markers for predictive significance for bevacizumab benefit in patients with metastatic colon cancer: a translational research study of the Hellenic Cooperative Oncology Group (HeCOG) Translational oncology. BMC Cancer (2014) doi:10.1186/1471-2407-14-111
Wada Yusaku et al., Development of detection method for novel fusion gene using GeneChip exon array -No section-. Journal of Clinical Bioinformatics (2014) doi:10.1186/2043-9113-4-3
Wang Cheng et al., Aberrant phenotype and transcriptome expression during fiber cell wall thickening caused by the mutation of the Im gene in immature fiber ( im ) mutant in Gossypium hirsutum L Plant genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-94
Lin Feng et al., Molecular response to the pathogen Phytophthora sojae among ten soybean near isogenic lines revealed by comparative transcriptomics Plant genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-18
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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