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  • GEO2R - GEO - NCBI
    Use GEO2R to compare two or more groups of Samples in order to identify genes that are differentially expressed across experimental conditions Results are presented as a table of genes ordered by significance
  • GEO2R: Analyze GEO Data - NCBI Video Vault - NCBI Bookshelf
    A tutorial on how to use GEO2R to analyze microarray data in GEO and retrieve a list of differentially expressed genes Download transcript as a text file (4 6K) This video is also available on YouTube
  • National Center for Biotechnology Information
    This video demonstrates how to use GEO2R to analyze microarray data and to retrieve to a list of differentially expressed genes For this example, I’m going to analyze GEO Series GSE18388 Reading the summary, we learn that this study is designed to investigate how gene expression changes in the thymus of mice that have been subjected to 13 days of spaceflight To start analyzing this study
  • Software Tools - Download - NCBI
    GEO2R GEO2R is an analysis tool that identifies genes that are differentially expressed across experimental conditions by comparing two or more samples from GEO data sets
  • Search, Download, and Visualize Human RNA-Seq Gene Expression Data in . . .
    Visualize We have integrated the RNA-seq count matrix with the GEO2R tool, allowing you to compare gene expression in two or more groups of samples on the GEO web site GEO2R presents the results in a table of genes ordered by P-values
  • NCBI GEO: archive for gene expression and epigenomics data sets: 23 . . .
    Integration of RNA-seq into GEO2R Introduced in our last update paper (15), GEO2R is a web-based tool that allows users to perform differential gene expression analysis on data sets from GEO using R packages like GEOquery (22) and limma (23)
  • GEOexplorer: a webserver for gene expression analysis and visualisation
    Even if GEO2R substantially meets the need for an intuitive and accessible interface to perform gene expression analysis on microarray datasets hosted on GEO, it is limited to a single dataset at a time and, does not allow for the processing of the RNA-seq datasets hosted on GEO or of other external datasets


















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