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

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 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: 73Tissue: PBMC (Peripheral Blood Mononuclear Cells)Organism: Homo sapiensGenome assembly: hg19Gene annotation: gencode34 Median mapped reads: 35 millionDisease: Not specifiedStrand specific: TruePaired end: TrueDataset contact: Vicente Yepez, yepez at in.tum.de; Aurora Pujol, apujol at idibell.cat Citation: Cite both the resource using Zenodo's citation and the publication under References Access: Fill out the Data Access Agreement available for download at (https://solve-rd.eu/results/solve-rd-data/) and send it to Vicente Yepez.