Computational Advances in Maximum Likelihood Methods for Molecular Phylogeny

Table 4.

Parameter Estimates for the Best Trees Under Four Sets of Modeling Assumptions

Parameter Model 1 Model 2 Model 3 Model 4
α 0.155 ± 0.016 0.125 ± 0.015 0.051 ± 0.013
β 0.174 ± 0.019 0.200 ± 0.021 0.217 ± 0.023
γ 0.084 ± 0.007 0.071 ± 0.007 0.078 ± 0.009
δ 0.080 ± 0.007 0.092 ± 0.009 0.060 ± 0.009
ε 0.174 ± 0.018
κ 0.107 ± 0.009 0.083 ± 0.008 0.117 ± 0.013
λ 0.067 ± 0.006 0.086 ± 0.008 0.078 ± 0.009
ς 0.134 ± 0.025
u 0.333 ± 0.023
κ 0.464 ± 0.077
πA 0.233 ± 0.013 0.202 ± 0.012 0.193 ± 0.012
πG 0.316 ± 0.014 0.362 ± 0.015 0.373 ± 0.015
πC 0.245 ± 0.013 0.290 ± 0.014 0.297 ± 0.015
πT 0.206 ± 0.012 0.141 ± 0.011 0.137 ± 0.011
Branch 1 1 ± 0 1 ± 0 1 ± 0 1 ± 0
Branch 2 0.232 ± 0.047 0.234 ± 0.047 .001 0.110 ± 0.044
Branch 3 0.538 ± 0.065 0.539 ± 0.065 0.544 ± 0.065 0.568 ± 0.065
Branch 4 1.650 ± 0.154 1.642 ± 0.153 1.671 ± 0.155 1.690 ± 0.154
Branch 5 0.194 ± 0.052 0.188 ± 0.051 0.196 ± 0.051 0.190 ± 0.050
Branch 6 0.215 ± 0.046 0.082 ± 0.050
Best tree topology E topology E tree 5 tree 5
Iterations 11 11 11 11
Max log likelihood −4606.6 −4598.2 −4555.7 −4536.2
χ2(df) 140.8 (7) 124.0 (6) 39.0 (2)

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  1. Genome Res. 8: 222-233

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