PurityEst: estimating purity of human tumor samples using next-generation sequencing data

被引:52
作者
Su, Xiaoping [1 ]
Zhang, Li [1 ]
Zhang, Jianping [1 ]
Meric-Bernstam, Funda [2 ]
Weinstein, John N. [1 ]
机构
[1] Univ Texas MD Anderson Canc Ctr, Dept Bioinformat & Computat Biol, Houston, TX 77030 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Surg Oncol, Houston, TX 77030 USA
关键词
D O I
10.1093/bioinformatics/bts365
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
We developed a novel algorithm, PurityEst, to infer the tumor purity level from the allelic differential representation of heterozygous loci with somatic mutations in a human tumor sample with a matched normal tissue using next-generation sequencing data. We applied our tool to a whole cancer genome sequencing datasets and demonstrated the accuracy of PurityEst compared with DNA copy number-based estimation.
引用
收藏
页码:2265 / 2266
页数:2
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