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. 2011 Nov 21;6(11):e27731. doi: 10.1371/journal.pone.0027731

Table 1. ML scores (as log likelihoods) of the solutions obtained by the ML methods on the three largest biological datasets.

Alignment ML Method 16S.B.ALL 16S.T 16S.3
TrueAln RAxML −1,589,345 −1,727,411 −1,376,372
FastTree −1,607,277 −1,731,963 −1,380,308
RAxML-Limited −1,601,407 −1,733,148 −1,380,946
SATé RAxML n.d. −1,650,778 −1,316,340
FastTree n.d. −1,654,334 −1,319,623
RAxML-Limited n.d. −1,655,854 −1,317,604
MAFFT RAxML n.d. −1,645,509 n.d.
FastTree n.d. −1,649,615 n.d.
RAxML-Limited n.d. −1,647,176 n.d.
PartTree RAxML −1,973,592 −1,760,582 −1,346,922
FastTree −2,032,424 −1,766,371 −1,350,858
RAxML-Limited −2,013,115 −1,762,611 −1,351,822
ClustalW RAxML n.d. −1,716,012 −1,365,614
FastTree n.d. −1,719,138 −1,369,027
RAxML-Limited n.d. −1,720,420 −1,368,776
Quicktree RAxML −1,878,299 −3,439,265 −2,451,782
FastTree −1,903,840 −3,449,574 −2,459,658
RAxML-Limited −1,891,570 −3,448,084 −2,460,095

Some alignments were missing due to high memory requirements of an alignment method on datasets of this size, preventing ML methods from running; these entries are marked “n.d.”. n = 1 for each reported value.