Multi-omic analysis of 94 PCPG

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.ContentsWGS- Copy number profiling (PURPLE)- Somatic variants (Mutect2, Strelka2, vardict)- Structural variants (GRIDSS, GRIPSS, Linx)- Telomere quantification (Telomerehunter)Methylation- Beta values from Illumina EPIC arraysSmall-RNA-Seq- Normalised Log2-CPM values- Raw gene counts (FeaureCounts)RNA-Seq (Whole transcriptome)- Normalised Log2-CPM values- Raw gene counts (HTSeq)- Fusion detection (Arriba)Single nuclei ATAC-seq- Aggregated fragment matrix (CellRanger)Single nuclei RNA-seq- Feature count matrices (CellRanger)Supersets- Methylation (merged data from A5, TCGA, and GSE43298)- WTS (merged data from A5, TCGA, and Flynn et al. (2015))- Small RNA (merged data from A5, TCGA, and Castro-Vega et al. (2015))