(a): medium level |
---|
FITCH | MW* | NJ* | BIONJ* | MVR* | Â | 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 |
- (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.