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. 2022 Nov 15;25(12):105594. doi: 10.1016/j.isci.2022.105594

Figure 4.

Figure 4

Dayhoff-6 outperforms random recoding schemes

(A) Boxplot representing the distribution of tree lengths for 0%-recoded, 90%-recoded, and Dayhoff-6 recoded dataset.

(B) Comparison of PPA-Div scores for 0%-recoded, 90%-recoded, and Dayhoff-6 recoded datasets. The figure indicates that PPA-Div scores of Dayhoff-6 recoded data are significantly better than PPA-Div scores from 0%-recoded data – the distributions do not overlap.

(C) A comparison of the TA values achieved by amino acids data, 0%-recoded, 90-%recoded and Dayhoff-6 recoded data, indicating that Dayhoff-6 outperforms both amino acids and randomly recoded data.