用SigProfilerAssignment分配突变特征给单个样本和单个体质突变
Marcos Díaz-Gay1,2,3, Raviteja Vangara1,2,3, Mark Barnes1,2,3
1Department of Cellular and Molecular Medicine, UC San Diego, La Jolla, CA, 92093, USA.
bioRxiv : the preprint server for biology
|July 28, 2023
概括
SigProfilerAssignment准确地为癌症基因组分配突变签名,包括副本数变异. 这种计算工具通过识别变种过程,增强了对癌症演变的理解.
科学领域:
- 基因组学和计算生物学
- 癌症研究和变异发生.
背景情况:
- 了解癌症基因组进化依赖于分析突变特征.
- 准确地将这些特征分配给单个样本对于研究至关重要.
结论:
- 在癌症基因组学中,SigProfilerAssignment提供了一种强大的方法来分配突变签名.
- 该框架推进了对变种过程和癌症基因组演变的研究.
- 免费提供用于研究用途.
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