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Table 3 Topological accuracy with datasets generated from Driskell et al. [20]

From: Fast NJ-like algorithms to deal with incomplete distance matrices

(a): medium level

FITCH

MW*

NJ*

BIONJ*

MVR*

 

p -value

      

MVR* – FITCH

MVR* – BIONJ*

0.0234

0.0268

0.0289

0.0227

0.0171

 

≈ 0.0

≈ 0.0

(b): high level

FITCH

MW*

NJ*

BIONJ*

MVR*

MRP

p -value

      

MVR* – FITCH

MVR* – MRP

0.0161

0.0165

0.0182

0.0172

0.0101

0.0119

0.001

0.193

  1. (a): Medium-level combination of the distance matrices being directly estimated from the gene sequences. (b): High-level combination; ML trees are first inferred separately for every genes; MRP turns the gene trees into a matrix of partial binary characters, which is analyzed with parsimony; with the other (distance) methods, the gene trees are turned into path-length distance matrices which are combined into the distance supermatrix. All combinations of source distance matrices are achieved using SDM. p-value: sign-test significance when comparing the 100 d q values of MVR* (our best algorithm) to those of FITCH and MRP. For other symbols and notation, see note to Table 1.