five

Copy-number signatures and mutational processes in ovarian carcinoma

收藏
NIAID Data Ecosystem2026-03-12 收录
下载链接:
https://www.omicsdi.org/dataset/ega/EGAS00001002557
下载链接
链接失效反馈
官方服务:
资源简介:
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.EGA study EGAS00001002557
创建时间:
2020-09-22
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作