Comprehensive genomic characterization of early stage bladder cancer - shallow whole genome sequencing data

For this project about non-muscle invasive bladder cancer (NMIBC), we analysed shallow WGS data from 362 patients. The dataset is composed of 392 BAM files: 362 tumor samples, 15 female normal samples and 15 male normal samples.

Type: Whole Genome Sequencing
Archiver: European Genome-Phenome Archive (EGA)

1 Dataset

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000000732	A better understanding of the molecular landscape of non-muscle-invasive bladder cancer (NMIBC) is essential to improve risk assessment and identify potential therapeutic targets. Here, we perform a comprehensive genomic analysis of patients diagnosed with NMIBC based on whole-exome- (n=438), shallow whole-genome- (n=362), and total RNA-sequencing (n=414). This dataset contains 876 BAM files corresponding to the full WES dataset. This dataset contains 392 BAM files corresponding to the full sWGS dataset. Tumor samples were sequenced to median coverage of 2.14x (1.24-9.01).	Illumina NovaSeq 6000	392