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Somatic mutation and clonal evolution in the human bladder Novaseq (2020-05-05)

In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-genome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer. . This dataset contains all the data available for this study on 2020-05-05.

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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
EGAS00001003433 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
EGAF00003623592 cram 25.8 GB
EGAF00003623593 cram 21.8 GB
EGAF00003623594 cram 24.0 GB
EGAF00003623595 cram 24.4 GB
EGAF00003623596 cram 22.6 GB
EGAF00003623597 cram 23.6 GB
EGAF00003623598 cram 24.3 GB
EGAF00003623599 cram 18.8 GB
EGAF00003623600 cram 22.3 GB
EGAF00003623601 cram 26.1 GB
EGAF00003623602 cram 20.9 GB
EGAF00003623603 cram 21.8 GB
EGAF00003623604 cram 21.6 GB
EGAF00003623605 cram 21.3 GB
EGAF00003623606 cram 24.8 GB
EGAF00003623607 cram 20.8 GB
EGAF00003623608 cram 21.4 GB
EGAF00003623609 cram 17.4 GB
EGAF00003623610 cram 18.9 GB
EGAF00003623611 cram 19.3 GB
EGAF00003623612 cram 28.9 GB
EGAF00003623613 cram 23.9 GB
EGAF00003623614 cram 31.0 GB
EGAF00003623615 cram 25.1 GB
24 Files (550.8 GB)