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. 2009 Apr 30;9:87. doi: 10.1186/1471-2148-9-87

Table 5.

Stepwise context reduction for the Ancestral Repeats dataset using the likelihood-based approach.

Model Contexts Annealing Melting log BF
GTR16C 16 (96) [623.2; 638.2] [645.5; 661.9] 642.2
GTR15C 15 (90) [658.0; 672.1] [665.0; 682.0] 669.2
GTR14C 14 (84) [651.9; 668.4] [664.3; 678.9] 665.9
GTR13C 13 (78) [661.7; 675.9] [672.6; 686.4] 674.2
GTR12C 12 (72) [679.8; 694.7] [695.8; 714.7] 696.3
GTR11C 11 (66) [676.5; 692.7] [694.4; 709.7] 693.3
GTR10C 10 (60) [686.0; 700.1] [698.9; 715.5] 700.1
GTR9C 9 (54) [675.3; 689.0] [685.5; 701.1] 687.7
GTR8C 8 (48) [656.7; 669.7] [678.5; 695.6] 675.1
GTR 1 (6) - - 0

The stepwise context reduction for the Ancestral Repeats dataset using the likelihood-based clustering approach reveals an optimal model with 10 clusters (GTR10C). It attains a log Bayes Factor of 700.1 (over GTR1C), which is a significant improvement over the full context-dependent model (GTR16C) that has 36 additional parameters. Further reducing the number of contexts decreases model fit.