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The null model (one ratio) assumed equal ω for all branches.

These two-ratio models were also compared against the null model (one ratio model) by LRT.

To test for variable selective pressures among branches, we performed the branch model using either the null model (one ratio) or nested models (two-ratio, three-ratio, and four-ratio models) (Yang 1998; Bielawski and Yang 2003).

The simplest model (one ratio), a very strict model allowing a single ω for all branches, obtained a ω = 1.2934, providing a good support for positive selection in the primate ANG.

Thus, the M3 model (discrete with K = 2) fit the data significantly better than the M0 model (one ratio).

Similar(55)

Varying selective pressure along the genes was assessed by a LRT test comparing the site-specific model M3 (discrete) with 2 or 3 classes of sites displaying different ω, against the M0 model (one-ratio).

In this study, the basic model (one-ratio), two site-specific models (nearly-neutral and positive-selection) and the branch-site model A were applied on each tree.

Twice the log likelihood difference between models, 2Δℓ = 2 ℓ1-ℓ0), is compared to a χ-distribution with the degrees of freedom equal to the number of parameter differences between the models to test whether the alternative model (free-ratio or PD-PS) fits the data significantly better than the null model (one-ratio).

The branch specific models, One-ratio (R1) and Two-ratios (R2) were used to detect lineage-specific changes in selective pressure.

Using Codeml from PAML the branch specific models, One-ratio (R1) and Two-ratios (R2) were used to detect lineage-specific changes in selective pressure after the duplication events.

The ratio of nonsynonymous-to-synonymous for each branch under two models (one-ratio and free-ratio for branches) was calculated, and the two models were compared using the LRT test to see whether the ω ratios are different among lineages.

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