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
Gruel Nadège et al., Polarity gene alterations in pure invasive micropapillary carcinomas of the breast. Breast Cancer Research (2014) doi:10.1186/bcr3653
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
Sun Deqiang et al., MOABS: model based analysis of bisulfite sequencing data. Genome Biology (2014) doi:10.1186/gb-2014-15-2-r38
Levy Aviv et al., Profiling microRNAs in Eucalyptus grandis reveals no mutual relationship between alterations in miR156 and miR172 expression and adventitious root induction during development Plant genomics. BMC Genomics (2014) doi:10.1186/1471-2164-15-524
Gong Haijun et al., Pathway-gene identification for pancreatic cancer survival via doubly regularized Cox regression Selected articles from the Twelfth Asia Pacific Bioinformatics Conference (APBC 2014): Systems Biology The Twelfth Asia Pacific Bioinformatics Conference (APBC 2014). BMC Systems Biology (2014) doi:10.1186/1752-0509-8-S1-S3
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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