Sentence examples for multilocus evolution model from inspiring English sources

Given sequences sampled from multiple time points in the history of a population, we infer selection at each locus by maximizing a likelihood function derived from a multilocus evolution model.

We have simulated two evolution models.

Our multilocus GFG model follows that of Sasaki [5].

To examine effects of the functional form of epistasis on the dynamics of GFG host-parasite coevolution we modified a classic multilocus GFG model framework.

Sasaki [5] showed that such fluctuations were possible in a multilocus GFG model where costs of virulence and resistance were low.

The fully conditional posterior densities for the multilocus association model (1) parameters are as follows.

The derivations of the fully conditional posterior densities of the multilocus association model are presented in the Appendix A1.

For a multilocus haplotype model, these values correspond to the population frequencies of haplotypes at time t.

An advantage of the G-BLUP over the multilocus association model is that no preselection of the markers is needed.

Together with the infinitely-many-sites model for mutations, the simplified multilocus haplotype model is used to approximate the evolutionary dynamics of the data.

Contrary to G-BLUP, a multilocus association model uses the marker information directly by assigning different, possibly zero, effects to the marker genotypes.