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CHARR有效地估计了来自DNA测序数据的污染.

Wenhan Lu1,2,3, Laura D Gauthier1,4, Timothy Poterba1,2,3

  • 1Program in Medical and Population Genetics, Broad Institute of MIT and Harvard, Cambridge, Massachusetts 02142, USA.

bioRxiv : the preprint server for biology
|July 10, 2023
PubMed
概括
此摘要是机器生成的。

整个基因组和外基因组测序中的DNA样本污染可能会导致基因型错误. 一个名为CHARR的新指标使用变异数据估计了污染,降低了成本,提高了大型数据集的准确性.

科学领域:

  • 基因组学就是基因组学.
  • 生物信息学是一种生物信息学.

背景情况:

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  • 在临床和研究全基因组和外基因组测序方面,DNA样本的污染是一个重大挑战.
  • 污染可能会导致变种呼叫质量的大幅降低和广泛的基因定型错误.
  • 现有的污染估计工具依赖于短读数据 (BAM/CRAM),这些数据的存储成本昂贵,并且经常不会保留.

结论:

  • 查尔为估计DNA样本污染提供了准确且具有成本效益的解决方案.
  • 提高大规模测序数据集下游分析的准确性和效率.
  • 在基因组研究中促进更可靠的变体调用和基因型鉴定.