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Gene expression and splicing counts from the Solve-RD study - blood, hg19, strand-specific

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Zenodo2026-07-15 更新2026-08-02 收录
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File description: geneCounts: gene-level counts k_j: split counts spanning from one exon to another. k_theta: non-split counts covering a splice site n_psi3: total split counts from a given acceptor site n_psi5: total split counts from a given donor site n_theta: total split and non-split counts for a given splice site Sample annotation describing each sample from the dataset Description file with global information from the dataset RNA-sequencing data was generated at the NGS Competence Center Tübingen (NCCT), Core facility Genomics, Institute of Medical Genetics and Applied Genomics in Tübingen, Germany, using an Illumina NovaSeq 6000 (Illumina, San Diego, USA) with a paired-end 100bp read configuration. The gene counts were obtained using the GTF file from release 34 of GENCODE https://www.gencodegenes.org/human/release_34, and the split and non-split counts contain only the annotated junctions from the same release. Use: The count matrices are intended to help researchers interested in using RNA-Seq data for clinical research. The counts can be merged with your own dataset, provided the tissue, genome build, strand, and paired-end specifications match. Afterwards, DROP can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop). Number of samples: 31Tissue: Whole bloodOrganism: Homo sapiensGenome assembly: hg19Gene annotation: gencode34 Median mapped reads: 55 millionDisease: Not specifiedStrand specific: TruePaired end: True Globin depletion: none Dataset contact: Solve-RD office, solve-RD at med.uni-tuebingen.de Citation: Cite both the resource using Zenodo's citation and the publication under References Access: Please address your data access request to the dataset contact as stated above. Funding acknowledgement: Solve-RD has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No. 779257. Bundesministerium für Bildung und Forschung, Treat-ION, grant # 01GM2210A.

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2026-07-13
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