Personalized Measurable Residual Disease monitoring from whole genome sequencing data in KMT2A-rearranged Acute Myeloid Leukemia
收藏NIAID Data Ecosystem2026-05-10 收录
下载链接：
https://www.ncbi.nlm.nih.gov/sra/SRP535760
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资源简介：
In this study, we demonstrate the utility of WGS to identify intronic breakpoints of KMT2A rearrangements and use this information to design personalized ddPCR assays to monitor measurable residual disease. Sequencing files generated from 7 AML cell lines have been uploaded.
创建时间：
2025-10-31
