Maximum-Likelihood Model Averaging To Profile Clustering of Site Types across Discrete Linear Sequences

PLoS Comput Biol 5(6): e1000421

We evaluated our method by examining its performance on a number of simulated datasets as well as on empirical polymorphism data from diverse natural alleles of the Drosophila alcohol dehydrogenase gene. Our method yielded greater power for the detection of clustered sites across a breadth of parameter ranges, and achieved better accuracy and precision of estimation of clusters, than did the existing empirical cumulative distribution function statistics.

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