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EuroForMix: An open source software based on a continuous model to evaluate STR DNA profiles from a mixture of contributors with artefacts

机译:EuroForMix:基于连续模型的开源软件,可评估具有伪像的贡献者混合物中的STR DNA谱

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摘要

We have released a software named EuroForMix to analyze STR DNA profiles in a user-friendly graphical user interface. The software implements a model to explain the allelic peak height on a continuous scale in order to carry out weight-of-evidence calculations for profiles which could be from a mixture of contributors. Through a properly parameterized model we are able to do inference on mixture proportions, the peak height properties, stutter proportion and degradation. In addition, EuroForMix includes models for allele drop-out, allele drop-in and sub-population structure. EuroForMix supports two inference approaches for likelihood ratio calculations. The first approach uses maximum likelihood estimation of the unknown parameters. The second approach is Bayesian based which requires prior distributions to be specified for the parameters involved. The user may specify any number of known and unknown contributors in the model, however we find that there is a practical computing time limit which restricts the model to a maximum of four unknown contributors.
机译:我们已经发布了一个名为EuroForMix的软件,可以在用户友好的图形用户界面中分析STR DNA谱。该软件实施了一个模型,以连续尺度解释等位基因峰高,以便对可能来自贡献者混合物的谱进行证据权重计算。通过适当参数化的模型,我们可以推断出混合物的比例,峰高特性,口吃比例和降解。此外,EuroForMix还包括等位基因缺失,等位基因缺失和亚人群结构的模型。 EuroForMix支持两种推理方法进行似然比计算。第一种方法使用未知参数的最大似然估计。第二种方法是基于贝叶斯方法,它需要为所涉及的参数指定先验分布。用户可以在模型中指定任意数量的已知和未知贡献者,但是我们发现存在实际的计算时间限制,该时间限制将模型限制为最多四个未知贡献者。

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