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SomaticSniper: identification of somatic point mutations in whole genome sequencing data

机译:SomaticSniper:鉴定全基因组测序数据中的体细胞点突变

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Motivation: The sequencing of tumors and their matched normals is frequently used to study the genetic composition of cancer. Despite this fact, there remains a dearth of available software tools designed to compare sequences in pairs of samples and identify sites that are likely to be unique to one sample. Results: In this article, we describe the mathematical basis of our SomaticSniper software for comparing tumor and normal pairs. We estimate its sensitivity and precision, and present several common sources of error resulting in miscalls. Availability and implementation: Binaries are freely available for download at http://gmt.genome.wustl.edu/somatic-sniper/current/, implemented in C and supported on Linux and Mac OS X.
机译:动机:肿瘤及其匹配的正常人的测序通常用于研究癌症的遗传组成。尽管有这个事实,但是仍然缺少可用的软件工具,这些软件工具旨在比较成对样本中的序列并识别可能对一个样本唯一的位点。结果:在本文中,我们描述了SomaticSniper软件用于比较肿瘤与正常对的数学基础。我们估计了它的灵敏度和精度,并提出了几种常见的错误源,从而导致误报。可用性和实现:可以从http://gmt.genome.wustl.edu/somatic-sniper/current/免费下载二进制文件,该二进制文件以C语言实现,并在Linux和Mac OS X上受支持。

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