Gene expression and splicing counts from the Kremer et al study
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https://zenodo.org/record/3887450
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资源简介：
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
The gene counts were originated 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 annonated junctions from the same release.
Use: 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 DROP pipeline can be used to compute expression and splicing outliers (https://github.com/gagneurlab/drop).
Number of samples: 119
Tissue: Fibroblast
Organism: Homo sapiens
Genome assembly: hg19
Gene annotation: gencode34
Disease (ICD-10: N): E75: 1, E79: 13, E88: 84, G31: 9, K72: 3, NONE: 9
Strand specific: FALSE
Paired end: TRUE
Protocol: poly(A) enrichment
Dataset contact: Vicente Yepez, yepez@in.tum.de; Christian Mertes, mertes@in.tum.de; Julien Gagneur, gagneur@in.tum.de; Holger Prokisch, prokisch@helmholtz-muenchen.de
Citation: Cite both the resource using Zenodo's citation and the publication under References
创建时间：
2021-10-21
