Table 1 |
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Frequency of the top-scoring trees from Pauprat and Rec-I-DCM3. |
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|
Pauprat |
Rec-I-DCM3 |
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|
|
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|
No. of taxa |
best score |
step0 |
step1 |
step2 |
% of total |
step0 |
step1 |
step2 |
% of total |
|
|
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|
60 |
8,698 |
1,508 |
0 |
1,509 |
60.3% |
59 |
0 |
343 |
8.0% |
|
174 |
7,440 |
2,626 |
1,042 |
635 |
86.1% |
170 |
491 |
1,301 |
39.2% |
|
500 |
16,218 |
184 |
562 |
955 |
34.0% |
1,231 |
1,279 |
983 |
69.9% |
|
567 |
44,165 |
27 |
263 |
735 |
22.5% |
1,299 |
1,671 |
903 |
77.5% |
|
|
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|
The table shows the number of top-scoring trees found by each algorithm. stepi refers to trees that are i steps away from the best score. Hence, step0 represents the number best-scoring trees, step1 are trees one step away from the best, and step2 are trees with parsimony scores two steps greater than the best score. Each algorithm found 5,000 total trees. For Pauprat (Rec-I-DCM3), the step0, step1, and step2 trees make up 67.6% (10.7%) of the 5,000 total trees in the collection for the 60 taxa dataset. For the 567 taxa dataset, the top-scoring trees represent 22.5% and 77.5% of the 5,000 trees found by Pauprat and Rec-I-DCM3, respectively. |
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|
Sul et al. BMC Bioinformatics 2009 10(Suppl 4):S3 doi:10.1186/1471-2105-10-S4-S3 |
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