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Table 1 Comparison between root inference methods.

From: Meta-Alignment with Crumble and Prune: Partitioning very large alignment problems for performance and parallelization

  

50 leaves

Agreement

 

Number Nodes

Maximal

Ortheus

Prune w/Pecan

30

0.880

0.579

 

15

0.909

0.560

 

7

0.912

0.555

Prune w/FSA

30

0.912

0.574

 

15

0.893

0.523

 

7

0.885

0.495

Prune w/MUSCLE

30

0.899

0.579

 

15

0.896

0.555

 

7

0.905

0.501

  1. The average agreement score of Prune alignments when Maximal and Ortheus root inference methods are used. Fifty alignment problems with fifty leaf species and ~10 kilobases of sequence were used. Three underlying alignment algorithms and three different maximum sub-tree sizes were used in the comparison. The faster Maximal method performed better across all comparisons that Ortheus for this application.