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A Novel Test for Absolute Fit of Evolutionary Models Provides a Means to Correctly Identify the Substitution Model and the Model Tree

机译:进化模型的绝对拟合的新测试提供了一种方法可以正确地识别替代模型和模型树

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摘要

A novel test is described that visualizes the absolute model-data fit of the substitution and tree components of an evolutionary model. The test utilizes statistics based on counts of character state matches and mismatches in alignments of observed and simulated sequences. This comparison is used to assess model-data fit. In simulations conducted to evaluate the performance of the test, the test estimator was able to identify both the correct tree topology and substitution model under conditions where the Goldman–Cox test—which tests the fit of a substitution model to sequence data and is also based on comparing simulated replicates with observed data—showed high error rates. The novel test was found to identify the correct tree topology within a wide range of DNA substitution model misspecifications, indicating the high discriminatory power of the test. Use of this test provides a practical approach for assessing absolute model-data fit when testing phylogenetic hypotheses.
机译:描述了一种新颖的测试,该测试可视化了演化模型的替换和树组件的绝对模型数据拟合。该测试利用基于观察到的和模拟的序列比对中的字符状态匹配和不匹配的计数的统计信息。该比较用于评估模型数据拟合。在评估测试性能的模拟中,在高盛-考克斯测试(测试替换模型与序列数据的拟合度)的条件下,测试估计器能够识别正确的树形拓扑结构和替换模型。比较模拟副本与观察到的数据时发现错误率很高。发现这种新颖的测试可以在广泛的DNA替换模型错误指定范围内识别正确的树形拓扑,这表明该测试具有很高的区分能力。在测试系统发生假设时,使用此测试提供了一种评估绝对模型数据拟合度的实用方法。

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