Gene expression counts from induced Pluripotent Stem Cells
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<strong>File description:</strong> Gene-level counts using the gtf file from the release 34 of GENCODE https://www.gencodegenes.org/human/release_34 Split counts spanning from one exon to another using an annotation-free algorithm, therefore capturing new splice sites Non-split counts covering exon-intron boundaries Sample annotation describing each sample from the dataset Description file with global information from the dataset <strong>Use: </strong>The count matrices are intended to help researchers that are interested in using RNA-Seq data with the purpose of diagnostics. Researchers can merge their own dataset with the downloaded ones, provided the tissue, genome build, strand, and paired-end specifications match. Afterwards, the workflow DROP can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). <strong>Maintainer: </strong>Vicente A. Yépez, yepez@in.tum.de <strong>URL:</strong> https://github.com/gagneurlab/drop/ <strong>Title: </strong>induced Pluripotent Stem Cells<br> <strong>Number of samples:</strong> 330<br> <strong>Tissue:</strong> iPSCs<br> <strong>Organism:</strong> Homo sapiens<br> <strong>Genome assembly:</strong> hg19<br> <strong>Gene annotation:</strong> gencode34<br> <strong>Disease:</strong> None<br> <strong>Strand specific:</strong> True<br> <strong>Paired end:</strong> True<br> <strong>Dataset contact:</strong> Marc Bonder, marcj89 at gmail.com <strong>Citation:</strong> Cite both the resource using Zenodo's citation and the publication under References
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2022-08-25



