Whole Genome Variant Dataset for Enriching Studies across 18 Different Cancers

Whole genome sequencing (WGS) has helped to revolutionize biology, but the computational challenge remains for extracting valuable inferences from this information. Here, we present cancer-associated variants Cancer Genome Atlas (TCGA) WGS dataset. This set of data will allow cancer researchers further expand their analysis beyond exomic regions entire genome. A total 1342 alignments available consortium were processed with VarScan2 and deposited NCI Cloud. The sample covers 18 different cancers reveals 157,313,519 pooled (non-unique) single-nucleotide variations (SNVs) across all samples. There was an average 117,223 SNVs per sample, a range 1111 775,470 standard deviation 163,273. dataset incorporated into BigQuery, which allows fast access cross-mapping, enrich current studies plethora newly genomic data.