Table 5.
SNR + DT cases | SNR (no DT) | High MNR (3a = DT) | ||||||||
---|---|---|---|---|---|---|---|---|---|---|
model | 1a | 1b | 1c | 3a | 2a | 2b | 2a | 2b | 3a | |
M1a - M2a | GY | 0.31 | 0.22 | 0.48 | 0.55 | 0.0 | 0.01 | 0.0 | 0.0 | 0.0 |
M1a - M2a | MG | 0.25 | 0.41 | 0.91 | 0.94 | 0.0 | 0.15 | 0.0 | 0.0 | 0.0 |
M8ω = 1 - M8ω > 1 | GY | 0.47 | 0.24 | 0.58 | 0.56 | 0.0 | 0.02 | 0.0 | 0.0 | 0.0 |
M8ω = 1 - M8ω > 1 | MG | 0.44 | 0.57 | 0.94 | 0.97 | 0.0 | 0.18 | 0.0 | 0.0 | 0.0 |
Scenarios 1a and 1b are based on a 5-taxon tree, and 2a, 2b and 3a are based on a 17-taxon tree (see Fig. 1). GY denotes the frequency parameterization of Goldman and Yang [26] where the transition probability is proportional to target codon. MG denotes the frequency parameterization Muse and Gaut [47] where the transition probability is proportional to target nucleotide. Both require frequency estimates for the four nucleotides at each position of the codon (denoted F3 × 4), and thus each requires 9 free parameters