Skip to main content
. 2009 Apr 30;9:87. doi: 10.1186/1471-2148-9-87

Table 10.

Stepwise context reduction for the nuclear SSU rRNA dataset using the graph-based approach.

Model Contexts Annealing Melting log BF
GTR16C 16 (96) [-21.25; -15.74] [-19.29; -14.31] -17.65
GTR15C 15 (90) [-17.17; -13.45] [-14.19; -10.30] -13.78
GTR14C 14 (84) [-14.05; -10.21] [-10.09; -5.13] -9.87
GTR13C 13 (78) [-7.29; -4.07] [-8.00; -3.25] -5.65
GTR12C 12 (72) [-2.61; 1.25] [-0.71; 3.31] 0.31
GTR11C 11 (66) [1.75; 5.55] [6.05; 9.25] 5.65
GTR10C 10 (60) [3.50; 7.11] [5.53; 10.37] 6.63
GTR9C 9 (54) [2.79; 6.32] [8.24; 12.51] 7.47
GTR8C 8 (48) [8.43; 12.07] [10.37; 13.48] 11.09
GTR7C 7 (42) [4.21; 7.25] [9.53; 13.04] 8.51
GTR6C 6 (36) [11.71; 14.99] [12.83; 17.55] 14.27
GTR5C 5 (30) [8.97; 12.70] [10.10; 14.86] 11.66
GTR4C 4 (24) [11.44; 15.02] [12.18; 16.35] 13.75
GTR3C 3 (18) [15.30; 17.92] [14.86; 18.11] 16.55
GTR2C 2 (12) [-1.61; 2.74] [1.04; 5.31] 1.87
GTR 1 (6) - - 0

The stepwise context reduction using the graph-based clustering approach reveals an optimal model with 3 clusters for the nuclear SSU rRNA dataset (GTR3C). It attains a log Bayes Factor of 16.55 (as compared to GTR1C), a significant improvement over the full context-dependent model (GTR16C).