An Evaluation of Different Partitioning Strategies for Bayesian Estimation of Species Divergence Times.

ABSTRACT: The explosive growth of molecular sequence data has made it possible to estimate species divergence times under relaxed-clock models using genome-scale data sets with many gene loci. In order to improve both model realism and to best extract information about relative divergence times in the sequence data, it is important to account for the heterogeneity in the evolutionary process across genes or genomic regions. Partitioning is a commonly used approach to achieve those goals. We group sites that have similar evolutionary characteristics into the same partition and those with different characteristics into different partitions, and then use different models or different values of model parameters for different partitions to account for the among-partition heterogeneity. However, how to pa

SUBMITTER: Angelis K 

PROVIDER: S-EPMC5790132 | biostudies-literature | 2018 Jan

REPOSITORIES: biostudies-literature