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SNP-based quantitative deconvolution of biological mixtures: application to the detection of cows with subclinical mastitis by whole-genome sequencing of tank milk

机译:基于SNP的生物混合物的定量作用:通过坦克牛奶的全基因组测序施用亚临床乳房炎

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摘要

Biological products of importance in food (e.g., milk) and medical (e.g., donor blood-derived products) sciences often correspond to mixtures of samples contributed by multiple individuals. Identifying which individuals contributed to the mixture and in what proportions may be of interest in several circumstances. We herein present a method that allows to do this by shallow whole-genome sequencing of the DNA in mixed samples from hundreds of donors. We show the efficacy of the approach for the detection of cows with subclinical mastitis by analysis of farms’ tank mixtures containing milk from as many as 500 cows.
机译:食物(例如,牛奶)和医疗(例如,供体血液衍生产品)科学的生物产品通常对应于由多个个体贡献的样品的混合物。确定哪些个体贡献对混合物以及在几种情况下的比例可能感兴趣。我们在本文中提出了一种方法,该方法可以通过来自数百个供体中的混合样品中DNA的浅全基因组测序来执行此方法。我们展示了通过从多达500奶牛的牛奶的农场坦克混合物的分析分析了亚临床乳腺炎检测方法的疗效。

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