PurityEst: estimating purity of human tumor samples using next-generation sequencing data
PurityEst: estimating purity of human tumor samples using next-generation sequencing data
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DOI：
10.1093/bioinformatics/bts365
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发表时间：
2012-09-01
期刊：
影响因子：
5.8
通讯作者：
Weinstein, John N.
中科院分区：
文献类型：
--
作者：
Su, Xiaoping;Zhang, Li;Weinstein, John N.
我们开发了一种新的算法，PurityEst，使用下一代测序数据，从人类肿瘤样本中具有体细胞突变的杂合基因座的等位基因差异表达推断肿瘤纯度水平。我们将我们的工具应用于整个癌症基因组测序数据集，并与基于DNA拷贝数的估计相比，证明了PurityEst的准确性。
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.