five

Gene expression counts from fibroblast, strand-specific, BCM UDN

收藏
NIAID Data Ecosystem2026-03-13 收录
下载链接:
https://zenodo.org/record/3963473
下载链接
链接失效反馈
官方服务:
资源简介:
File description: 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 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). Maintainer: Vicente A. Yépez, yepez@in.tum.de URL: https://github.com/gagneurlab/drop/   Title: BCM UDN Fibroblast Number of samples: 139 Tissue: Fibroblast Organism: Homo sapiens Genome assembly: hg19 Gene annotation: gencode34 Disease (ICD-10: N): : D17: 1, D84: 12, E34: 2, G82: 1, H57: 3, K92: 3, M25: 18, NONE: 35, Q02: 1, Q20: 5, Q33: 2, Q89: 12, R62: 44 Strand specific: TRUE Paired end: TRUE Protocol: poly(A) enrichment Dataset contact: David Murdock, david.murdock@bcm.edu Citation: Cite both the resource using Zenodo's citation and the publication under References
创建时间:
2022-08-24
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作