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.
You will learn:
This tutorial is a part of the tutorial group Expression resources. You might find the other tutorials in the group interesting:
Functional Glycomics Gateway: The home for Functional Glycomics research
CleanEx: A Database of Heterogeneous Gene Expression Data Based on A Consistent Gene Nomenclature
Allen Mouse Brain Atlas: Mapped gene expression data in mouse brain
miRBase: microRNA sequences, targets and gene nomenclature
DBTSS: Database of Transcriptional Start Sites
Alternative Splicing and Transcript Diversity (ASTD) database: A bioinformatics resource for alternative splice events and transcripts for human, mouse, and rat
GENSAT: Provides an extensive amount of high quality images of gene expression in the central nervous system of the mouse.
ArrayExpress: A public repository for microarray gene expression data at the EBI
Algorithms and Analysis : This category contains various tools that may help perform analysis of different genomics data types. This may include sequence alignment, large-scale or complex queries, motif finding, or comparative assessments.
Expression : This category may contain various expression data collections, annotation tools, or repositories of expression data.
NCBI : This category includes resources maintained at the National Center for Biotechnology Information (NCBI).
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Recent BioMed Central research articles citing this resource
Buckberry Sam et al., Placental transcriptome co-expression analysis reveals conserved regulatory programs across gestation Human and rodent genomics. BMC Genomics (2017) doi:10.1186/s12864-016-3384-9
Biswas Ranjita et al., Improved growth rate in Clostridium thermocellum hydrogenase mutant via perturbed sulfur metabolism. Biotechnology for Biofuels (2017) doi:10.1186/s13068-016-0684-x
Xu Zongli et al., RELIC: a novel dye-bias correction method for Illumina Methylation BeadChip Human and rodent genomics. BMC Genomics (2017) doi:10.1186/s12864-016-3426-3
Wu Jian et al., Nomogram integrating gene expression signatures with clinicopathological features to predict survival in operable NSCLC: a pooled analysis of 2164 patients. Journal of Experimental Clinical Cancer Research (2017) doi:10.1186/s13046-016-0477-x
Broustas G. Constantinos et al., Comparison of gene expression response to neutron and x-ray irradiation using mouse blood Human and rodent genomics. BMC Genomics (2017) doi:10.1186/s12864-016-3436-1