Embedded Files
Table of Contents
Table of Contents
- Table of Contents
- About
- Selected Papers
- How to Access
- Download Overview
- File Listing
- Issue Reporting
- How to Cite
About
About
"The Genotype-Tissue Expression (GTEx) project aims to provide to the scientific community a resource with which to study human gene expression and regulation and its relationship to genetic variation. This project will collect and analyze multiple human tissues from donors who are also densely genotyped, to assess genetic variation within their genomes. By analyzing global RNA expression within individual tissues and treating the expression levels of genes as quantitative traits, variations in gene expression that are highly correlated with genetic variation can be identified as expression quantitative trait loci, or eQTLs."
Excerpted from https://gtexportal.org/home/documentationPage.
Selected Papers
Selected Papers
See list of applied research citing GTEx at https://gtexportal.org/home/publicationPage.
How to Access
How to Access
- Location on Cheaha is
$SHARE_PROJECT/bioitx/hosted-data/org/gtexportal/GTEx-Analysis-V6p. - You must be a member of the
bioitxUnix group to access these data. - Data are read-only.
- SHA256 checksums are available for checking data integrity.
Download Overview
Download Overview
- Version: V6p
- Download Date: July 28, 2017
- Downloaded from GTEx Datasets Portal.
- Total size: 112 GB.
File Listing
File Listing
Issue Reporting
Issue Reporting
Relevant tracked issues on UAB GitLab (blazerid access required):
How to Cite
How to Cite
The Genotype-Tissue Expression (GTEx) Project is supported by the Common Fund of the Office of the Director of the National Institutes of Health, and by NCI, NHGRI, NHLBI, NIDA, NIMH, and NINDS.
The data used for the analyses described in this manuscript were obtained from the GTEx Portal on 07/28/2017 and staged to dedicated shared storage at UAB in order to better facilitate researcher access to important public data. These hosted data are documented and supported in part by the Informatics Institute uab-bioitx team and infrastructure.
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