HRA006537
Title:
Machine learning-based extrachromosomal DNA identification in large-scale cohorts reveals its clinical implications in cancer
Release date:
2024-01-21
Description:
Raw whole-genome sequencing (WGS) and whole-exome sequencing (WES) data from tumor tissue, PDX, or FFPE samples
Data Accessibility:   
Controlled access Request Data
BioProject:
Study type:
Disease Study
Disease name:
Cancer
Data Access Committee

For each controlled access study, there is a corresponding Data Access Committee(DAC) to determine the access permissions. Access to actual data files is not managed by NGDC.


DAC NO.:
DAC name:
ecDNA project
Contact person:
Zhao Qi
Email:
zhaoqi@sysucc.org.cn
Description:
Committee for releasing ecDNA project-related data
Individuals & samples
Submitter:   Zhao Qi / zhaoqi@sysucc.org.cn
Organization:   Cancer Center
Submission date:   2023-12-13
Requests:   -