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Long Read sequencing data from 4 tumor/germline samples with non muscle invasive bladder cancer

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). Additionally, tumor/germline samples from 4 patients were sequenced using Oxford Nanopore technology. This dataset contains 8 BAM files corresponding to the Long read sequencing data.

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Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000000510 Whole Genome Sequencing

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Located in
EGAF50000174860 bam 143.9 GB
EGAF50000174861 bam 105.6 GB
EGAF50000174862 bam 86.5 GB
EGAF50000174863 bam 63.9 GB
EGAF50000174864 bam 118.8 GB
EGAF50000174865 bam 134.4 GB
EGAF50000174866 bam 94.3 GB
EGAF50000174867 bam 104.2 GB
8 Files (851.6 GB)