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
Connors Martin et al., The AUTUMNX magnetometer meridian chain in Québec, Canada. Earth, Planets and Space (2016) doi:10.1186/s40623-015-0354-4
Gelli Malleswari et al., Mapping QTLs and association of differentially expressed gene transcripts for multiple agronomic traits under different nitrogen levels in sorghum Genetics and crop biotechnology. BMC Plant Biology (2016) doi:10.1186/s12870-015-0696-x
Azevedo Hátylas et al., Intragraft transcriptional profiling of renal transplant patients with tubular dysfunction reveals mechanisms underlying graft injury and recovery. Human Genomics (2016) doi:10.1186/s40246-015-0059-6
Lin Yanzhu et al., Comparison of normalization and differential expression analyses using RNA-Seq data from 726 individual Drosophila melanogaster Multicellular invertebrate genomics. BMC Genomics (2016) doi:10.1186/s12864-015-2353-z
Popa Alexandra et al., Pateamine A-sensitive ribosome profiling reveals the scope of translation in mouse embryonic stem cells Human and rodent genomics. BMC Genomics (2016) doi:10.1186/s12864-016-2384-0