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



