Multi-omic analysis of 94 PCPG
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https://figshare.com/articles/dataset/Multi-omic_analysis_of_94_PCPG/25792479/1
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This archive contains somatic (non-identifiable) data from multi-omic analysis of 94 pheochromocytoma/paraganglioma from 79 patients using six molecular methods including: whole-genome sequencing (WGS) of tumour and matched blood (n=94), whole transcriptome sequencing (RNA-seq) (n=91), small-RNA seq (n=90), DNA methylation profiling (n=93). Droplet-based (10x) single nuclei (sn)RNA-seq and snATAC-seq was applied to 9 and 7 cases, respectively. <br><br>Contents<br>WGS<br>- Copy number profiling (PURPLE) <br>- Somatic variants (Mutect2, Strelka2, vardict) <br>- Structural variants (GRIDSS, GRIPSS, Linx) <br>- Telomere quantification (Telomerehunter)<br><br>Methylation<br>- Beta values from Illumina EPIC arrays<br><br>Small-RNA-Seq<br>- Normalised Log2-CPM values<br>- Raw gene counts (FeaureCounts)<br><br>RNA-Seq (Whole transcriptome)<br>- Normalised Log2-CPM values<br>- Raw gene counts (HTSeq)<br>- Fusion detection (Arriba)<br><br>Single nuclei ATAC-seq<br>- Aggregated fragment matrix (CellRanger)<br><br>Single nuclei RNA-seq<br>- Feature count matrices (CellRanger)
提供机构:
figshare
创建时间:
2024-05-10



