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.
- 26/09/2024
- 8 samples
- DAC: EGAC00001001642
- Technology: PromethION
- HMB DUO:0000006 (version: 2021-02-23)health or medical or biomedical researchThis data use permission indicates that use is allowed for health/medical/biomedical purposes; does not include the study of population origins or ancestry.
- RS DUO:0000012 (version: 2021-02-23)research specific restrictionsThis data use modifier indicates that use is limited to studies of a certain research type.
- IRB DUO:0000021 (version: 2021-02-23)ethics approval requiredThis data use modifier indicates that the requestor must provide documentation of local IRB/ERB approval.
DAA_Prip_et_al_longRead
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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 |