A simple method for data partitioning based on relative evolutionary rates.

ABSTRACT:

Background

Multiple studies have demonstrated that partitioning of molecular datasets is important in model-based phylogenetic analyses. Commonly, partitioning is done a priori based on some known properties of sequence evolution, e.g. differences in rate of evolution among codon positions of a protein-coding gene. Here we propose a new method for data partitioning based on relative evolutionary rates of the sites in the alignment of the dataset being analysed. The rates are inferred using the previously published Tree Independent Generation of Evolutionary Rates (TIGER), and the partitioning is conducted using our novel python script RatePartitions. We conducted simulations to assess the performance of our new method, and we applied it to eight published multi-locus phyloge

SUBMITTER: Rota J 

PROVIDER: S-EPMC6118207 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature