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
Gheorghe Marius et al., Major aging-associated RNA expressions change at two distinct age-positions Human and rodent genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-132
Hupkes Marlinda et al., MicroRNA miR-378 promotes BMP2-induced osteogenic differentiation of mesenchymal progenitor cells Transcriptional control of gene expression. BMC Molecular Biology (2014) doi:10.1186/1471-2199-15-1
Elhaik Eran et al., Gene expression and nucleotide composition are associated with genic methylation level in Oryza sativa Results and data. BMC Bioinformatics (2014) doi:10.1186/1471-2105-15-23
Wang Ningning et al., Mutation of the RDR1 gene caused genome-wide changes in gene expression, regional variation in small RNA clusters and localized alteration in DNA methylation in rice Genomics and evolution. BMC Plant Biology (2014) doi:10.1186/1471-2229-14-177
Huang Tzu-Wen et al., Capsule deletion via a λ-Red knockout system perturbs biofilm formation and fimbriae expression in Klebsiella pneumoniae MGH 78578. BMC Research Notes (2014) doi:10.1186/1756-0500-7-13
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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