Sentence examples for shared divergence from inspiring English sources

This is important, because models of shared divergence events are often ofparticular interest to researchers who employ these methods.

Compared to msBayes, the new approach better estimates posterior uncertainty, which greatly reduces the chances of incorrectly estimating biogeographical scenarios of shared divergence events.

I use this method to test whether alternative parameterizations and priors improve the behavior of the approximate-Bayesian model-choice approach to estimating shared divergence events.

I introduced a new model for estimating shared divergence histories across taxa from DNA sequence data within an approximate-Bayesian model-choice framework.

MANCOVA was used to determine the relative effect sizes of shared divergence among color morphs (color), morph pair history (morph pair) and unique aspects of divergence among morph-pairs in the different morph-pairs (color:morph pair) on the ecological variables BDI, LPJ weight and δN.

Overall, the results suggest that the M D P P and M U n i f o r m models are relatively robust in terms of model-choice accuracy, and when model violations do cause them to be biased, they tend to under-estimate the probability of the model with a single, shared divergence event.

Genes involved in the same functional groups share similar divergence patterns, indicating that pathways or processes may share characteristics.

This analysis was conducted using only OBP data from the 12 Drosophila species because there are few orthologous clusters among species sharing large divergence times.

As expected based on the results of Oaks et al. [ 7], when the Philippines data are analyzed under the M m s B a y e s model, there is strong support for very few divergence events shared among all 22 pairs of taxa, with a maximum a posteriori (MAP) estimate of one-shared divergence.

Shared axes of divergence may still differ among groups with respect to the average shape they are associated with, and with the variation in PC scores on a particular axis.

Traditionally, phylogenetic analysis has been used to infer shared ancestry and divergence as well as gene speciation or duplication events.