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cGTEx_dataset:A multi-tissue atlas of regulatory variants in cattle

<p>The files are raw data of the cGTEX dataset used in the publication&nbsp;<strong>https://doi.org/10.1038/s41588-022-01153-5</strong>. For details, please read the Methods section.&nbsp;</p> <p>1. cGTEx_meta_data_8646sample.xlsx</p> <p>Metadata consists of sample names with their sample accession, including&nbsp;information such as data size, cleaned reads, mapping rate, and age. The data is extracted from&nbsp;SRA (<a href="https://www.ncbi.nlm.nih.gov/sra">https://www.ncbi.nlm.nih.gov/sra/</a>) and BIGD (<a href="https://bigd.big.ac.cn/bioproject/">https://bigd.big.ac.cn/bioproject/</a>) ( samples starting with CRS)</p> <p>2.&nbsp;cGTEx_count_8646sample_27607gene.txt.gz</p> <p>Data consist of raw RNA-seq read count of 27607 genes (column names as Ensembl gene id )of 8646&nbsp;samples (as row&nbsp;names)&nbsp;</p> <p>3.&nbsp;cGTEx_TPM_8646sample_27607gene.txt.gz</p> <p>Data consist of TPM values of 27607 genes (column names as Ensembl gene id) in&nbsp; samples (8646 samples as row&nbsp;names)</p> <p>4.&nbsp;cGTEx_imputed_vcf.tar.gz</p> <p>Imputed genotypes&nbsp;(SNP) of 7297 RNA-seq samples in 29 autosomes.</p> <p>5.&nbsp;cGTEx_exon_junction_8646sample.tar.gz</p> <p>Exon junction files of 8646 files&nbsp;</p> <p>Note: Small discrepancies in some sample&nbsp;names or the absence of headers in some data sets compared to https://cgtex.roslin.ed.ac.uk/&nbsp;are sorted out in this upload.</p> <p>&nbsp;</p>

ShareScore

48/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
8

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