A new approach for estimating the efficiencies of the nucleotide substitution models.
In this article, a new approach is presented for estimating the efficiencies of the nucleotide substitution models in a four-taxon case and then this approach is used to estimate the relative efficiencies of six substitution models under a wide variety of conditions. In this approach, efficiencies of the models are estimated by using a simple probability distribution theory. To assess the accuracy of the new approach, efficiencies of the models are also estimated by using the direct estimation method. Simulation results from the direct estimation method confirmed that the new approach is highly accurate. The success of the new approach opens a unique opportunity to develop analytical methods for estimating the relative efficiencies of the substitution models in a straightforward way.
Som
Anup
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Center for Evolutionary Functional Genomics, The Biodesign Institute, Arizona State University, Tempe, AZ 85287-5301, USA. anup.som@asu.edu
D000465:Algorithms; D003198:Computer Simulation; D004247:DNA / Q000235:genetics; D019143:Evolution, Molecular; D008957:Models, Genetic; D009711:Nucleotides / Q000235:genetics*; D010802:Phylogeny
D009711:Nucleotides; D004247:DNA