ContEst: estimating cross-contamination of human samples in next-generation sequencing data

被引：184

作者：

Cibulskis, Kristian ^{[1
]}

McKenna, Aaron ^{[1
]}

Fennell, Tim ^{[1
]}

Banks, Eric ^{[1
]}

DePristo, Mark ^{[1
]}

Getz, Gad ^{[1
]}

机构：

[1] Broad Inst, Genome Sequencing Anal Program & Platform, Cambridge, MA 02142 USA

来源：

BIOINFORMATICS | 2011年 / 27卷 / 18期

关键词：

D O I：

10.1093/bioinformatics/btr446

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

Here, we present ContEst, a tool for estimating the level of cross-individual contamination in next-generation sequencing data. We demonstrate the accuracy of ContEst across a range of contamination levels, sources and read depths using sequencing data mixed in silico at known concentrations. We applied our tool to published cancer sequencing datasets and report their estimated contamination levels.

引用

页码：2601 / 2602

页数：2

共 7 条

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