Copy-number signatures and mutational processes in ovarian carcinoma
This study contains the data underlying our approach for copy-number signature identification in high-grade serous ovarian cancer. The samples studied are part of the BriTROC-1 consortium, a national study into relapsed high-grade serous ovarian cancer. The dataset consists of shallow-whole genome sequencing of 300 samples from 143 patients with match tagged-amplicon sequencing of TP53. The study also contains deeper whole-genome sequencing of 48 cases.
- Type: Other
- Archiver: European Genome-Phenome Archive (EGA)
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 |
---|---|---|---|
EGAD00001004172 | Illumina HiSeq 2500 Illumina MiSeq | 55 | |
EGAD00001004173 | Illumina HiSeq 2500 Illumina MiSeq | 300 | |
EGAD00001004174 | Illumina HiSeq 2500 | 300 | |
EGAD00001004189 | HiSeq X Ten | 111 |
Publications | Citations |
---|---|
Copy number signatures and mutational processes in ovarian carcinoma.
Nat Genet 50: 2018 1262-1270 |
212 |
High-grade serous ovarian carcinoma organoids as models of chromosomal instability.
Elife 12: 2023 e83867 |
13 |