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首页> 外文期刊>Computers in Biology and Medicine >Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method
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Allele frequency calibration for SNP based genotyping of DNA pools: A regression based local-global error fusion method

机译:基于SNP的DNA库基因分型的等位基因频率校准:基于回归的局部-全局误差融合方法

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摘要

Background: The costs associated with developing high density microarray technologies are prohibitive for genotyping animals when there is low economic value associated with a single animal (e.g. prawns). DNA pooling is an attempt to address this issue by combining multiple DNA samples prior to genotyping. Instead of genotyping the DNA samples of the individuals, a mixture of DNA samples (i.e. the pool) from the individuals is genotyped only once. This greatly reduces the cost of genotyping. Pooled samples are subject to greater genotyping inaccuracies than individual samples. Wrong genotyping will lead to wrong biological conclusions. It is thus required to calibrate the resulting genotypes (allele frequencies).
机译:背景:当与单个动物(例如大虾)相关的经济价值较低时,与开发高密度微阵列技术相关的成本对动物进行基因分型是令人望而却步的。 DNA合并是通过在基因分型之前合并多个DNA样本来解决此问题的尝试。代替对个体的DNA样品进行基因分型,仅对个体的DNA样品的混合物(即,池)进行基因分型一次。这大大降低了基因分型的成本。合并的样本比单个样本遭受更大的基因分型错误。错误的基因分型将导致错误的生物学结论。因此需要校准所得的基因型(等位基因频率)。

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