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
Keller Janine et al., Supplemental carnitine affects the microRNA expression profile in skeletal muscle of obese Zucker rats Non-human and non-rodent vertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-512
Ma Xuan et al., Characterisation of Caenorhabditis elegans sperm transcriptome and proteome Multicellular invertebrate genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-168
Engler-Stringer Rachel et al., The community and consumer food environment and children’s diet: a systematic review Health behavior, health promotion and society. BMC Public Health (2014) doi:10.1186/1471-2458-14-522
Brenaut Pauline et al., Contribution of mammary epithelial cells to the immune response during early stages of a bacterial infection to Staphylococcus aureus. Veterinary Research (2014) doi:10.1186/1297-9716-45-16
von der Heyde Silvia et al., Dynamics of mRNA and polysomal abundance in early 3T3-L1 adipogenesis Transcriptomic methods. BMC Genomics (2014) doi:10.1186/1471-2164-15-381
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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