RAxML-NG v. 1.1-master released on 29.11.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 125 GB RAM RAxML-NG was called at 01-Sep-2022 14:55:44 as follows: raxml-ng --threads 16 --check --msa /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI.phy --model GTR+G --prefix /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T1 Analysis options: run mode: Alignment validation start tree(s): random seed: 1662036944 SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (16 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI.phy [00:00:00] Loaded alignment with 96 taxa and 180 sites WARNING: Sequences JN854191 and JN854156 are exactly identical! WARNING: Sequences JN854191 and NC_001631 are exactly identical! WARNING: Sequences JN854191 and NC_027415 are exactly identical! WARNING: Sequences JN854191 and NC_028531 are exactly identical! WARNING: Sequences JN854191 and NC_043856 are exactly identical! WARNING: Sequences JN854191 and NC_062404 are exactly identical! WARNING: Sequences JN854191 and Pd_1_Chayu are exactly identical! WARNING: Sequences JN854191 and Pd_2_Chayu are exactly identical! WARNING: Sequences JN854191 and Pd_3_Yaluriver are exactly identical! WARNING: Sequences JN854191 and Pd_4_Yaluriver are exactly identical! WARNING: Sequences JN854191 and Pd_5_Niyang are exactly identical! WARNING: Sequences JN854191 and Pd_6_Niyang are exactly identical! WARNING: Sequences JN854191 and Pd_7_Lixian are exactly identical! WARNING: Sequences JN854191 and Pd_8_Lixian are exactly identical! WARNING: Sequences JN854191 and Pd_14_Zhongdian are exactly identical! WARNING: Sequences JN854191 and Pinus_Kesiya are exactly identical! WARNING: Sequences JN854191 and Pt_15_Jilin are exactly identical! WARNING: Sequences JN854191 and Pt_16_Jilin are exactly identical! WARNING: Sequences JN854191 and Pt_17_Taibaishan are exactly identical! WARNING: Sequences JN854191 and Pt_18_Taibaishan are exactly identical! WARNING: Sequences JN854191 and Pt_19_Helanshan are exactly identical! WARNING: Sequences JN854191 and Pt_20_Helanshan are exactly identical! WARNING: Sequences JN854191 and Pt_21_Songshan are exactly identical! WARNING: Sequences JN854191 and Pt_22_Songshan are exactly identical! WARNING: Sequences JN854191 and Py_9_Yuxi are exactly identical! WARNING: Sequences JN854191 and Py_10_Kunming are exactly identical! WARNING: Sequences JN854191 and Py_11_Binchuan are exactly identical! WARNING: Sequences JN854191 and Py_12_Baoshan are exactly identical! WARNING: Sequences JN854191 and Py_13_Baoshan are exactly identical! WARNING: Sequences JN854191 and MK782762 are exactly identical! WARNING: Sequences MF564195 and MH701846 are exactly identical! WARNING: Sequences MF564195 and NC_021439 are exactly identical! WARNING: Sequences MF564195 and NC_041150 are exactly identical! WARNING: Sequences MF564195 and Pinus_massoniana are exactly identical! WARNING: Sequences JN854158 and JN854210 are exactly identical! WARNING: Sequences JN854158 and MF990371 are exactly identical! WARNING: Sequences JN854158 and MT786135 are exactly identical! WARNING: Sequences JN854158 and MT796488 are exactly identical! WARNING: Sequences JN854158 and MZ677091 are exactly identical! WARNING: Sequences JN854158 and NC_035069 are exactly identical! WARNING: Sequences JN854158 and NC_042394 are exactly identical! WARNING: Sequences JN854158 and NC_062639 are exactly identical! WARNING: Sequences JN854158 and NC_062640 are exactly identical! WARNING: Sequences JN854158 and Pdensiflora_50_Japan are exactly identical! WARNING: Sequences JN854158 and Ps_23_Umea are exactly identical! WARNING: Sequences JN854158 and Ps_24_Umea are exactly identical! WARNING: Sequences JN854158 and Ps_25_Spain are exactly identical! WARNING: Sequences JN854158 and Ps_27_Spain are exactly identical! WARNING: Sequences JN854158 and Ps_28_Turkey are exactly identical! WARNING: Sequences JN854158 and Ps_29_Turkey are exactly identical! WARNING: Sequences JN854158 and Ps_30_Turkey are exactly identical! WARNING: Sequences JN854158 and Ps_31_Russia are exactly identical! WARNING: Sequences JN854158 and Ps_32_Russia are exactly identical! WARNING: Sequences JN854158 and Ps_33_Russia are exactly identical! WARNING: Sequences JN854158 and Ps_34_Russia are exactly identical! WARNING: Sequences JN854158 and Ps_35_Sweden are exactly identical! WARNING: Sequences JN854158 and Ps_36_Sweden are exactly identical! WARNING: Sequences JN854158 and Ps_37_Sweden are exactly identical! WARNING: Sequences JN854158 and Ps_38_Sweden are exactly identical! WARNING: Sequences JN854158 and Ps_39_Sweden are exactly identical! WARNING: Sequences JN854158 and Ps_40_Sweden are exactly identical! WARNING: Sequences JN854158 and Ps_41_Finland are exactly identical! WARNING: Sequences JN854158 and Ps_42_Finland are exactly identical! WARNING: Sequences JN854158 and Ps_43_Finland are exactly identical! WARNING: Sequences JN854158 and Ps_44_F00058 are exactly identical! WARNING: Sequences JN854158 and Ps_45_97018 are exactly identical! WARNING: Sequences JN854179 and Pn_48_karlstejn_Bohemia are exactly identical! WARNING: Sequences JN854179 and Pn_49_karlstejn_Bohemia are exactly identical! WARNING: Sequences JN854181 and KX833097 are exactly identical! WARNING: Sequences JN854181 and MZ333464 are exactly identical! WARNING: Sequences JN854181 and MZ333465 are exactly identical! WARNING: Sequences JN854181 and MZ333466 are exactly identical! WARNING: Sequences NC_021440 and NC_042788 are exactly identical! WARNING: Sequences NC_021440 and Pc_46_line_Tirma are exactly identical! WARNING: Sequences NC_021440 and Pc_47_line_Garafia are exactly identical! WARNING: Sequences NC_004677 and NC_028552 are exactly identical! WARNING: Duplicate sequences found: 76 NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) NOTE: was saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T1.raxml.reduced.phy Alignment comprises 1 partitions and 180 sites Partition 0: noname Model: GTR+FO+G4m Alignment sites: 180 Gaps: 14.62 % Invariant sites: 88.89 % Alignment can be successfully read by RAxML-NG. Execution log saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T1.raxml.log Analysis started: 01-Sep-2022 14:55:44 / finished: 01-Sep-2022 14:55:44 Elapsed time: 0.026 seconds RAxML-NG v. 1.1-master released on 29.11.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 125 GB RAM RAxML-NG was called at 01-Sep-2022 14:55:44 as follows: raxml-ng --threads 16 --parse --msa /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T1.raxml.reduced.phy --model GTR+G --prefix /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2 Analysis options: run mode: Alignment parsing and compression start tree(s): random seed: 1662036944 tip-inner: OFF pattern compression: ON per-rate scalers: OFF site repeats: ON branch lengths: proportional (ML estimate, algorithm: NR-FAST) SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (16 threads), thread pinning: OFF [00:00:00] Reading alignment from file: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T1.raxml.reduced.phy [00:00:00] Loaded alignment with 20 taxa and 180 sites Alignment comprises 1 partitions and 64 patterns Partition 0: noname Model: GTR+FO+G4m Alignment sites / patterns: 180 / 64 Gaps: 21.50 % Invariant sites: 88.89 % NOTE: Binary MSA file created: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2.raxml.rba * Estimated memory requirements : 1 MB * Recommended number of threads / MPI processes: 1 Please note that numbers given above are rough estimates only. Actual memory consumption and parallel performance on your system may differ! Alignment can be successfully read by RAxML-NG. Execution log saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2.raxml.log Analysis started: 01-Sep-2022 14:55:44 / finished: 01-Sep-2022 14:55:44 Elapsed time: 0.015 seconds RAxML-NG v. 1.1-master released on 29.11.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 125 GB RAM RAxML-NG was called at 01-Sep-2022 14:55:44 as follows: raxml-ng --threads 16 --msa /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2.raxml.rba --model GTR+G --tree pars{25},rand{25} --redo --prefix /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3 Analysis options: run mode: ML tree search start tree(s): random (25) + parsimony (25) random seed: 1662036944 tip-inner: OFF pattern compression: ON per-rate scalers: OFF site repeats: ON fast spr radius: AUTO spr subtree cutoff: 1.000000 branch lengths: proportional (ML estimate, algorithm: NR-FAST) SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (16 threads), thread pinning: OFF WARNING: Running in REDO mode: existing checkpoints are ignored, and all result files will be overwritten! WARNING: The model you specified on the command line (GTR+G) will be ignored since the binary MSA file already contains a model definition. If you want to change the model, please re-run RAxML-NG with the original PHYLIP/FASTA alignment and --redo option. [00:00:00] Loading binary alignment from file: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2.raxml.rba [00:00:00] Alignment comprises 20 taxa, 1 partitions and 64 patterns Partition 0: noname Model: GTR+FO+G4m Alignment sites / patterns: 180 / 64 Gaps: 21.50 % Invariant sites: 88.89 % Parallelization scheme autoconfig: 16 worker(s) x 1 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] Generating 25 random starting tree(s) with 20 taxa [00:00:00] Generating 25 parsimony starting tree(s) with 20 taxa [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 64 / 1024 [00:00:00] Data distribution: max. searches per worker: 4 Starting ML tree search with 50 distinct starting trees [00:00:00] [worker #11] ML tree search #12, logLikelihood: -351.537771 [00:00:00] [worker #3] ML tree search #4, logLikelihood: -351.537712 [00:00:00] [worker #2] ML tree search #3, logLikelihood: -351.537861 [00:00:00] [worker #6] ML tree search #7, logLikelihood: -351.537800 [00:00:00] [worker #8] ML tree search #9, logLikelihood: -351.537773 [00:00:00] [worker #5] ML tree search #6, logLikelihood: -351.537712 [00:00:00] [worker #10] ML tree search #11, logLikelihood: -351.537737 [00:00:00] [worker #13] ML tree search #14, logLikelihood: -351.537718 [00:00:00] [worker #7] ML tree search #8, logLikelihood: -351.537713 [00:00:00] [worker #12] ML tree search #13, logLikelihood: -351.537744 [00:00:00] [worker #9] ML tree search #10, logLikelihood: -352.184780 [00:00:00] [worker #4] ML tree search #5, logLikelihood: -351.537757 [00:00:00] [worker #1] ML tree search #2, logLikelihood: -351.537711 [00:00:00] [worker #0] ML tree search #1, logLikelihood: -351.537733 [00:00:00] [worker #15] ML tree search #16, logLikelihood: -351.537739 [00:00:00] [worker #14] ML tree search #15, logLikelihood: -351.537730 [00:00:00] [worker #11] ML tree search #28, logLikelihood: -352.184738 [00:00:00] [worker #12] ML tree search #29, logLikelihood: -352.184835 [00:00:00] [worker #10] ML tree search #27, logLikelihood: -351.537713 [00:00:00] [worker #1] ML tree search #18, logLikelihood: -351.537767 [00:00:00] [worker #15] ML tree search #32, logLikelihood: -352.184837 [00:00:00] [worker #8] ML tree search #25, logLikelihood: -351.537788 [00:00:00] [worker #9] ML tree search #26, logLikelihood: -352.184836 [00:00:00] [worker #13] ML tree search #30, logLikelihood: -352.184738 [00:00:01] [worker #3] ML tree search #20, logLikelihood: -351.537831 [00:00:01] [worker #2] ML tree search #19, logLikelihood: -351.537831 [00:00:01] [worker #6] ML tree search #23, logLikelihood: -351.537724 [00:00:01] [worker #0] ML tree search #17, logLikelihood: -352.184739 [00:00:01] [worker #14] ML tree search #31, logLikelihood: -352.184764 [00:00:01] [worker #7] ML tree search #24, logLikelihood: -351.537712 [00:00:01] [worker #5] ML tree search #22, logLikelihood: -351.537716 [00:00:01] [worker #4] ML tree search #21, logLikelihood: -351.537740 [00:00:01] [worker #10] ML tree search #43, logLikelihood: -352.184738 [00:00:01] [worker #11] ML tree search #44, logLikelihood: -352.184738 [00:00:01] [worker #12] ML tree search #45, logLikelihood: -351.537731 [00:00:01] [worker #8] ML tree search #41, logLikelihood: -352.184837 [00:00:01] [worker #15] ML tree search #48, logLikelihood: -352.184738 [00:00:01] [worker #3] ML tree search #36, logLikelihood: -352.184891 [00:00:01] [worker #9] ML tree search #42, logLikelihood: -352.184738 [00:00:01] [worker #6] ML tree search #39, logLikelihood: -352.184760 [00:00:01] [worker #1] ML tree search #34, logLikelihood: -352.184834 [00:00:01] [worker #14] ML tree search #47, logLikelihood: -352.184764 [00:00:01] [worker #13] ML tree search #46, logLikelihood: -351.537713 [00:00:01] [worker #0] ML tree search #33, logLikelihood: -352.184747 [00:00:01] [worker #7] ML tree search #40, logLikelihood: -352.184739 [00:00:01] [worker #2] ML tree search #35, logLikelihood: -352.184737 [00:00:01] [worker #5] ML tree search #38, logLikelihood: -352.184737 [00:00:01] [worker #4] ML tree search #37, logLikelihood: -352.184835 [00:00:01] [worker #1] ML tree search #50, logLikelihood: -352.184738 [00:00:01] [worker #0] ML tree search #49, logLikelihood: -352.184891 Optimized model parameters: Partition 0: noname Rate heterogeneity: GAMMA (4 cats, mean), alpha: 0.629662 (ML), weights&rates: (0.250000,0.059278) (0.250000,0.328363) (0.250000,0.895728) (0.250000,2.716631) Base frequencies (ML): 0.238886 0.289483 0.094884 0.376748 Substitution rates (ML): 0.282305 0.001000 0.207878 0.001000 3.526826 1.000000 Final LogLikelihood: -351.537711 AIC score: 795.075423 / AICc score: 827.586701 / BIC score: 941.951438 Free parameters (model + branch lengths): 46 WARNING: Best ML tree contains 9 near-zero branches! Best ML tree with collapsed near-zero branches saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.bestTreeCollapsed Best ML tree saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.bestTree All ML trees saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.mlTrees Optimized model saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.bestModel Execution log saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.log Analysis started: 01-Sep-2022 14:55:44 / finished: 01-Sep-2022 14:55:46 Elapsed time: 1.659 seconds RAxML-NG v. 1.1-master released on 29.11.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 125 GB RAM RAxML-NG was called at 01-Sep-2022 14:55:46 as follows: raxml-ng --threads 16 --rfdist --tree /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.mlTrees --redo --prefix /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_RF3 Analysis options: run mode: RF distance computation start tree(s): user random seed: 1662036946 SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (16 threads), thread pinning: OFF WARNING: Running in REDO mode: existing checkpoints are ignored, and all result files will be overwritten! Reading input trees from file: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T3.raxml.mlTrees Loaded 50 trees with 20 taxa. Average absolute RF distance in this tree set: 9.392653 Average relative RF distance in this tree set: 0.276255 Number of unique topologies in this tree set: 29 Pairwise RF distances saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_RF3.raxml.rfDistances Execution log saved to: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_RF3.raxml.log Analysis started: 01-Sep-2022 14:55:46 / finished: 01-Sep-2022 14:55:46 Elapsed time: 0.038 seconds RAxML-NG v. 1.1-master released on 29.11.2021 by The Exelixis Lab. Developed by: Alexey M. Kozlov and Alexandros Stamatakis. Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth. Latest version: https://github.com/amkozlov/raxml-ng Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml System: Intel(R) Xeon(R) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 125 GB RAM RAxML-NG was called at 01-Sep-2022 14:55:46 as follows: raxml-ng --threads 16 --bootstrap --bs-trees 10000 --msa /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2.raxml.rba --model GTR+G --prefix /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T4 Analysis options: run mode: Bootstrapping start tree(s): bootstrap replicates: 10000 random seed: 1662036946 tip-inner: OFF pattern compression: ON per-rate scalers: OFF site repeats: ON branch lengths: proportional (ML estimate, algorithm: NR-FAST) SIMD kernels: AVX2 parallelization: coarse-grained (auto), PTHREADS (16 threads), thread pinning: OFF WARNING: The model you specified on the command line (GTR+G) will be ignored since the binary MSA file already contains a model definition. If you want to change the model, please re-run RAxML-NG with the original PHYLIP/FASTA alignment and --redo option. [00:00:00] Loading binary alignment from file: /pfs/stor10/projects/projnb10/snic2019-29-3/chloroplast_data/gene_trees/psaI_T2.raxml.rba [00:00:00] Alignment comprises 20 taxa, 1 partitions and 64 patterns Partition 0: noname Model: GTR+FO+G4m Alignment sites / patterns: 180 / 64 Gaps: 21.50 % Invariant sites: 88.89 % Parallelization scheme autoconfig: 16 worker(s) x 1 thread(s) Parallel reduction/worker buffer size: 1 KB / 0 KB [00:00:00] NOTE: Resuming execution from checkpoint (logLH: -416.00, ML trees: 0, bootstraps: 466) [00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 64 / 1024 [00:00:00] Data distribution: max. searches per worker: 596 [00:00:00] Starting bootstrapping analysis with 10000 replicates. [00:00:00] [worker #5] Bootstrap tree #470, logLikelihood: -334.650528 [00:00:00] [worker #1] Bootstrap tree #482, logLikelihood: -346.226610 [00:00:00] [worker #15] Bootstrap tree #480, logLikelihood: -309.011526[00:00:00] [worker #4] Bootstrap tree #469, logLikelihood: -331.345447 [00:00:00] [worker #8] Bootstrap tree #473, logLikelihood: -319.098739[00:00:00] [worker #2] Bootstrap tree #467, logLikelihood: -350.551290 [00:00:00] [worker #12] Bootstrap tree #477, logLikelihood: -331.924824 [00:00:00] [worker #13] Bootstrap tree #478, logLikelihood: -334.346345 [00:00:00] [worker #14] Bootstrap tree #479, logLikelihood: -322.592823 [00:00:00] [worker #11] Bootstrap tree #476, logLikelihood: -358.188363 [00:00:00] [worker #3] Bootstrap tree #468, logLikelihood: -376.096049 [00:00:00] [worker #6] Bootstrap tree #471, logLikelihood: -331.566398 [00:00:00] [worker #10] Bootstrap tree #475, logLikelihood: -349.937345 [00:00:00] [worker #9] Bootstrap tree #474, logLikelihood: -320.396581 [00:00:01] [worker #7] Bootstrap tree #472, logLikelihood: -325.603268 [00:00:01] [worker #0] Bootstrap tree #481, logLikelihood: -313.905986 [00:00:01] [worker #8] Bootstrap tree #491, logLikelihood: -323.692068 [00:00:01] [worker #1] Bootstrap tree #484, logLikelihood: -321.576079 [00:00:01] [worker #4] Bootstrap tree #487, logLikelihood: -354.386474 [00:00:01] [worker #13] Bootstrap tree #496, logLikelihood: -333.586990 [00:00:01] [worker #12] Bootstrap tree #495, logLikelihood: -318.381949 [00:00:01] [worker #5] Bootstrap tree #488, logLikelihood: -333.596500 [00:00:01] [worker #2] Bootstrap tree #485, logLikelihood: -366.226021 [00:00:01] [worker #10] Bootstrap tree #493, logLikelihood: -351.082562 [00:00:01] [worker #3] Bootstrap tree #486, logLikelihood: -350.226896 [00:00:01] [worker #9] Bootstrap tree #492, logLikelihood: -318.911052[00:00:01] [worker #6] Bootstrap tree #489, logLikelihood: -352.812529 [00:00:01] [worker #11] Bootstrap tree #494, logLikelihood: -352.109612 [00:00:01] [worker #15] Bootstrap tree #498, logLikelihood: -360.183231 [00:00:01] [worker #14] Bootstrap tree #497, logLikelihood: -375.801737 [00:00:01] [worker #7] Bootstrap tree #490, logLikelihood: -319.920523 [00:00:01] [worker #0] Bootstrap tree #483, logLikelihood: -332.977510 [00:00:01] [worker #1] Bootstrap tree #500, logLikelihood: -361.467774 [00:00:01] [worker #0] Bootstrap tree #499, logLikelihood: -328.913558 [00:00:01] [worker #11] Bootstrap tree #510, logLikelihood: -323.173013 [00:00:01] [worker #9] Bootstrap tree #508, logLikelihood: -347.908341 [00:00:01] [worker #13] Bootstrap tree #512, logLikelihood: -327.406489 [00:00:01] [worker #4] Bootstrap tree #503, logLikelihood: -335.981571 [00:00:01] [worker #12] Bootstrap tree #511, logLikelihood: -350.471455 [00:00:01] [worker #8] Bootstrap tree #507, logLikelihood: -338.027500 [00:00:01] [worker #10] Bootstrap tree #509, logLikelihood: -331.399448 [00:00:01] [worker #7] Bootstrap tree #506, logLikelihood: -335.383337 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