RAxML-NG v. 1.0.2 released on 22.02.2021 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) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 01-Jul-2021 11:07:09 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/2_msa/O15027_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027 --seed 2 --threads 4 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  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 (4 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/2_msa/O15027_trimmed_msa.fasta
[00:00:00] Loaded alignment with 436 taxa and 219 sites

WARNING: Sequences tr_F1NZ85_F1NZ85_CHICK_9031 and tr_G1N6H6_G1N6H6_MELGA_9103 are exactly identical!
WARNING: Sequences tr_A0A2I3TSD5_A0A2I3TSD5_PANTR_9598 and tr_A0A2R9CET6_A0A2R9CET6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_K7BNI4_K7BNI4_PANTR_9598 and tr_A0A2R9CEL6_A0A2R9CEL6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A158NVB3_A0A158NVB3_ATTCE_12957 and tr_A0A195BSA2_A0A195BSA2_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A0E0FZW2_A0A0E0FZW2_ORYNI_4536 and tr_B8AGW6_B8AGW6_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0FZW2_A0A0E0FZW2_ORYNI_4536 and tr_I1NWD4_I1NWD4_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0FZW2_A0A0E0FZW2_ORYNI_4536 and tr_A0A0E0CHM1_A0A0E0CHM1_9ORYZ_40149 are exactly identical!
WARNING: Sequences tr_A0A0E0FZW2_A0A0E0FZW2_ORYNI_4536 and tr_A0A0E0N8K6_A0A0E0N8K6_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0FZW2_A0A0E0FZW2_ORYNI_4536 and tr_A0A0D3EZJ7_A0A0D3EZJ7_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0FZW2_A0A0E0FZW2_ORYNI_4536 and tr_A0A0D9YL30_A0A0D9YL30_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_F6WHN3_F6WHN3_MACMU_9544 and tr_G7NVJ6_G7NVJ6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6WHN3_F6WHN3_MACMU_9544 and tr_A0A2K5LGX8_A0A2K5LGX8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6WHN3_F6WHN3_MACMU_9544 and tr_A0A2K6DFV9_A0A2K6DFV9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H0Z759_H0Z759_TAEGU_59729 and tr_A0A218V5J6_A0A218V5J6_9PASE_299123 are exactly identical!
WARNING: Sequences tr_G7PR59_G7PR59_MACFA_9541 and tr_A0A2K6EAC1_A0A2K6EAC1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_M4E834_M4E834_BRARP_51351 and tr_A0A078J1B9_A0A078J1B9_BRANA_3708 are exactly identical!
WARNING: Sequences tr_A0A0D9RTG0_A0A0D9RTG0_CHLSB_60711 and tr_A0A2K5YSU0_A0A2K5YSU0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_V4VLB3_V4VLB3_9ROSI_85681 and tr_A0A2H5NTT2_A0A2H5NTT2_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0D2N129_A0A0D2N129_GOSRA_29730 and tr_A0A1U8LNU1_A0A1U8LNU1_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A151MFU9_A0A151MFU9_ALLMI_8496 and tr_A0A1U7RQ44_A0A1U7RQ44_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A087R4P9_A0A087R4P9_APTFO_9233 and tr_A0A2I0M3P3_A0A2I0M3P3_COLLI_8932 are exactly identical!
WARNING: Sequences tr_A0A087R4P9_A0A087R4P9_APTFO_9233 and tr_A0A1V4J6C6_A0A1V4J6C6_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A091GKK9_A0A091GKK9_9AVES_55661 and tr_A0A226NI09_A0A226NI09_CALSU_9009 are exactly identical!
WARNING: Sequences tr_A0A091GKK9_A0A091GKK9_9AVES_55661 and tr_A0A226P8I8_A0A226P8I8_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A0V1DI91_A0A0V1DI91_TRIBR_45882 and tr_A0A0V0X8Z7_A0A0V0X8Z7_9BILA_92179 are exactly identical!
WARNING: Sequences tr_A0A0V1DI91_A0A0V1DI91_TRIBR_45882 and tr_A0A0V0VTN4_A0A0V0VTN4_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V1DI91_A0A0V1DI91_TRIBR_45882 and tr_A0A0V1LSX5_A0A0V1LSX5_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1DI91_A0A0V1DI91_TRIBR_45882 and tr_A0A0V1NQM5_A0A0V1NQM5_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A0V1DI91_A0A0V1DI91_TRIBR_45882 and tr_A0A0V0TX46_A0A0V0TX46_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A1S4ANX0_A0A1S4ANX0_TOBAC_4097 and tr_A0A1U7XX59_A0A1U7XX59_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3HG74_A0A1S3HG74_LINUN_7574 and tr_A0A1S3JXM2_A0A1S3JXM2_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A2D0RKD4_A0A2D0RKD4_ICTPU_7998 and tr_A0A2D0RKE3_A0A2D0RKE3_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RKD4_A0A2D0RKD4_ICTPU_7998 and tr_A0A2D0RM11_A0A2D0RM11_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RN25_A0A2D0RN25_ICTPU_7998 and tr_A0A2D0RN26_A0A2D0RN26_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RN25_A0A2D0RN25_ICTPU_7998 and tr_A0A2D0RN27_A0A2D0RN27_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RZ95_A0A2D0RZ95_ICTPU_7998 and tr_A0A2D0RZA5_A0A2D0RZA5_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RZ95_A0A2D0RZ95_ICTPU_7998 and tr_A0A2D0S063_A0A2D0S063_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RZ95_A0A2D0RZ95_ICTPU_7998 and tr_A0A2D0S0T9_A0A2D0S0T9_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2G3AP25_A0A2G3AP25_CAPAN_4072 and tr_A0A2G3BPR1_A0A2G3BPR1_CAPCH_80379 are exactly identical!
WARNING: Duplicate sequences found: 39

NOTE: Reduced alignment (with duplicates and gap-only sites/taxa removed) 
NOTE: was saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.reduced.phy

Alignment comprises 1 partitions and 219 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 219 / 219
Gaps: 7.89 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.rba

Parallelization scheme autoconfig: 4 worker(s) x 1 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 436 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 219 / 17520
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -155386.516717] Initial branch length optimization
[00:00:01 -126241.449047] Model parameter optimization (eps = 10.000000)
[00:00:21 -125684.732309] AUTODETECT spr round 1 (radius: 5)
[00:01:00 -81447.746838] AUTODETECT spr round 2 (radius: 10)
[00:01:44 -64899.650736] AUTODETECT spr round 3 (radius: 15)
[00:02:47 -48553.336628] AUTODETECT spr round 4 (radius: 20)
[00:03:59 -46448.050084] AUTODETECT spr round 5 (radius: 25)
[00:05:11 -46377.010916] SPR radius for FAST iterations: 25 (autodetect)
[00:05:11 -46377.010916] Model parameter optimization (eps = 3.000000)
[00:05:28 -46263.001482] FAST spr round 1 (radius: 25)
[00:06:17 -41066.233921] FAST spr round 2 (radius: 25)
[00:06:58 -40775.271064] FAST spr round 3 (radius: 25)
[00:07:35 -40743.280409] FAST spr round 4 (radius: 25)
[00:08:07 -40741.408092] FAST spr round 5 (radius: 25)
[00:08:36 -40741.404667] Model parameter optimization (eps = 1.000000)
[00:08:44 -40739.759538] SLOW spr round 1 (radius: 5)
[00:09:33 -40729.301696] SLOW spr round 2 (radius: 5)
[00:10:20 -40728.167073] SLOW spr round 3 (radius: 5)
[00:11:05 -40728.166690] SLOW spr round 4 (radius: 10)
[00:11:53 -40724.882200] SLOW spr round 5 (radius: 5)
[00:12:55 -40724.878982] SLOW spr round 6 (radius: 10)
[00:14:05 -40724.877701] SLOW spr round 7 (radius: 15)
[00:16:13 -40724.876841] SLOW spr round 8 (radius: 20)
[00:18:01 -40724.876308] SLOW spr round 9 (radius: 25)
[00:20:04 -40724.875953] Model parameter optimization (eps = 0.100000)

[00:20:07] [worker #0] ML tree search #1, logLikelihood: -40724.787689

[00:20:07 -160246.553502] Initial branch length optimization
[00:20:10 -128680.955131] Model parameter optimization (eps = 10.000000)
[00:20:28 -128102.028210] AUTODETECT spr round 1 (radius: 5)
[00:21:07 -81072.115935] AUTODETECT spr round 2 (radius: 10)
[00:21:53 -59349.574793] AUTODETECT spr round 3 (radius: 15)
[00:22:51 -48937.117773] AUTODETECT spr round 4 (radius: 20)
[00:22:57] [worker #3] ML tree search #4, logLikelihood: -40717.348511
[00:24:04 -46880.418229] AUTODETECT spr round 5 (radius: 25)
[00:25:33 -46834.952093] SPR radius for FAST iterations: 25 (autodetect)
[00:25:34 -46834.952093] Model parameter optimization (eps = 3.000000)
[00:25:51 -46693.014329] FAST spr round 1 (radius: 25)
[00:26:36] [worker #2] ML tree search #3, logLikelihood: -40715.763636
[00:26:47 -41177.381805] FAST spr round 2 (radius: 25)
[00:27:27 -40745.906772] FAST spr round 3 (radius: 25)
[00:27:56] [worker #1] ML tree search #2, logLikelihood: -40716.447430
[00:28:00 -40734.168297] FAST spr round 4 (radius: 25)
[00:28:30 -40734.168008] Model parameter optimization (eps = 1.000000)
[00:28:38 -40733.118880] SLOW spr round 1 (radius: 5)
[00:29:27 -40724.814791] SLOW spr round 2 (radius: 5)
[00:30:13 -40724.813427] SLOW spr round 3 (radius: 10)
[00:31:01 -40722.329092] SLOW spr round 4 (radius: 5)
[00:32:06 -40721.844736] SLOW spr round 5 (radius: 5)
[00:33:01 -40721.843452] SLOW spr round 6 (radius: 10)
[00:33:51 -40721.842556] SLOW spr round 7 (radius: 15)
[00:35:12 -40721.841917] SLOW spr round 8 (radius: 20)
[00:37:00 -40721.841454] SLOW spr round 9 (radius: 25)
[00:38:58 -40721.252926] SLOW spr round 10 (radius: 5)
[00:40:09 -40721.203393] SLOW spr round 11 (radius: 10)
[00:41:13 -40721.201026] SLOW spr round 12 (radius: 15)
[00:42:28 -40721.200173] SLOW spr round 13 (radius: 20)
[00:42:46] [worker #3] ML tree search #8, logLikelihood: -40717.008725
[00:44:16 -40721.199847] SLOW spr round 14 (radius: 25)
[00:46:11 -40721.199711] Model parameter optimization (eps = 0.100000)

[00:46:20] [worker #0] ML tree search #5, logLikelihood: -40720.397648

[00:46:20 -154543.483683] Initial branch length optimization
[00:46:22 -124439.476634] Model parameter optimization (eps = 10.000000)
[00:46:42 -123800.391960] AUTODETECT spr round 1 (radius: 5)
[00:47:21 -82632.775290] AUTODETECT spr round 2 (radius: 10)
[00:47:48] [worker #2] ML tree search #7, logLikelihood: -40720.594616
[00:48:08 -58905.220645] AUTODETECT spr round 3 (radius: 15)
[00:49:08 -48694.197691] AUTODETECT spr round 4 (radius: 20)
[00:49:22] [worker #1] ML tree search #6, logLikelihood: -40724.627135
[00:50:24 -46171.618853] AUTODETECT spr round 5 (radius: 25)
[00:51:51 -45892.821226] SPR radius for FAST iterations: 25 (autodetect)
[00:51:51 -45892.821226] Model parameter optimization (eps = 3.000000)
[00:52:06 -45803.126396] FAST spr round 1 (radius: 25)
[00:53:00 -41068.808888] FAST spr round 2 (radius: 25)
[00:53:40 -40792.809738] FAST spr round 3 (radius: 25)
[00:54:17 -40774.890175] FAST spr round 4 (radius: 25)
[00:54:51 -40751.220610] FAST spr round 5 (radius: 25)
[00:55:22 -40745.174539] FAST spr round 6 (radius: 25)
[00:55:52 -40745.172853] Model parameter optimization (eps = 1.000000)
[00:56:01 -40742.411673] SLOW spr round 1 (radius: 5)
[00:56:50 -40732.640269] SLOW spr round 2 (radius: 5)
[00:57:39 -40730.223871] SLOW spr round 3 (radius: 5)
[00:58:25 -40730.223195] SLOW spr round 4 (radius: 10)
[00:59:14 -40725.846905] SLOW spr round 5 (radius: 5)
[01:00:20 -40723.915939] SLOW spr round 6 (radius: 5)
[01:01:14 -40723.915276] SLOW spr round 7 (radius: 10)
[01:02:04 -40723.123681] SLOW spr round 8 (radius: 5)
[01:03:02] [worker #3] ML tree search #12, logLikelihood: -40713.922270
[01:03:08 -40722.751324] SLOW spr round 9 (radius: 5)
[01:04:02 -40722.738596] SLOW spr round 10 (radius: 10)
[01:04:52 -40722.737715] SLOW spr round 11 (radius: 15)
[01:04:57] [worker #2] ML tree search #11, logLikelihood: -40718.652706
[01:06:12 -40722.737010] SLOW spr round 12 (radius: 20)
[01:07:54 -40722.736446] SLOW spr round 13 (radius: 25)
[01:09:43 -40722.735991] Model parameter optimization (eps = 0.100000)

[01:09:47] [worker #0] ML tree search #9, logLikelihood: -40722.675599

[01:09:47 -155995.263984] Initial branch length optimization
[01:09:48 -125518.232563] Model parameter optimization (eps = 10.000000)
[01:10:15 -124877.639738] AUTODETECT spr round 1 (radius: 5)
[01:10:54 -82014.648252] AUTODETECT spr round 2 (radius: 10)
[01:11:40 -63919.473896] AUTODETECT spr round 3 (radius: 15)
[01:12:44 -51658.320567] AUTODETECT spr round 4 (radius: 20)
[01:13:06] [worker #1] ML tree search #10, logLikelihood: -40718.147027
[01:14:00 -48703.605002] AUTODETECT spr round 5 (radius: 25)
[01:15:14 -48519.061117] SPR radius for FAST iterations: 25 (autodetect)
[01:15:14 -48519.061117] Model parameter optimization (eps = 3.000000)
[01:15:26 -48384.826215] FAST spr round 1 (radius: 25)
[01:16:21 -41102.922678] FAST spr round 2 (radius: 25)
[01:17:02 -40776.517647] FAST spr round 3 (radius: 25)
[01:17:38 -40755.902082] FAST spr round 4 (radius: 25)
[01:18:09 -40750.404871] FAST spr round 5 (radius: 25)
[01:18:39 -40750.404300] Model parameter optimization (eps = 1.000000)
[01:18:48 -40742.910996] SLOW spr round 1 (radius: 5)
[01:19:38 -40724.945628] SLOW spr round 2 (radius: 5)
[01:20:24 -40723.667231] SLOW spr round 3 (radius: 5)
[01:21:11 -40723.361577] SLOW spr round 4 (radius: 5)
[01:21:56 -40723.361312] SLOW spr round 5 (radius: 10)
[01:22:43 -40718.499566] SLOW spr round 6 (radius: 5)
[01:22:58] [worker #3] ML tree search #16, logLikelihood: -40722.783781
[01:23:48 -40718.350255] SLOW spr round 7 (radius: 5)
[01:24:42 -40718.349333] SLOW spr round 8 (radius: 10)
[01:25:33 -40718.156274] SLOW spr round 9 (radius: 5)
[01:26:36 -40718.079208] SLOW spr round 10 (radius: 10)
[01:27:33 -40717.926329] SLOW spr round 11 (radius: 5)
[01:28:11] [worker #2] ML tree search #15, logLikelihood: -40727.207048
[01:28:35 -40717.883244] SLOW spr round 12 (radius: 10)
[01:29:32 -40717.881414] SLOW spr round 13 (radius: 15)
[01:30:48 -40717.880742] SLOW spr round 14 (radius: 20)
[01:32:35 -40717.880423] SLOW spr round 15 (radius: 25)
[01:34:03] [worker #1] ML tree search #14, logLikelihood: -40721.118682
[01:34:29 -40717.880233] Model parameter optimization (eps = 0.100000)

[01:34:33] [worker #0] ML tree search #13, logLikelihood: -40717.822507

[01:34:33 -158094.622884] Initial branch length optimization
[01:34:35 -127655.739519] Model parameter optimization (eps = 10.000000)
[01:35:00 -127036.764176] AUTODETECT spr round 1 (radius: 5)
[01:35:39 -82920.790828] AUTODETECT spr round 2 (radius: 10)
[01:36:25 -62133.119114] AUTODETECT spr round 3 (radius: 15)
[01:37:21 -52397.350237] AUTODETECT spr round 4 (radius: 20)
[01:38:25 -47675.443735] AUTODETECT spr round 5 (radius: 25)
[01:39:37 -47146.597863] SPR radius for FAST iterations: 25 (autodetect)
[01:39:37 -47146.597863] Model parameter optimization (eps = 3.000000)
[01:39:52 -46974.576164] FAST spr round 1 (radius: 25)
[01:40:45 -40979.278073] FAST spr round 2 (radius: 25)
[01:41:27 -40746.301984] FAST spr round 3 (radius: 25)
[01:42:00 -40742.867826] FAST spr round 4 (radius: 25)
[01:42:30 -40741.352155] FAST spr round 5 (radius: 25)
[01:42:59 -40741.351864] Model parameter optimization (eps = 1.000000)
[01:43:07 -40739.028455] SLOW spr round 1 (radius: 5)
[01:43:58 -40719.283699] SLOW spr round 2 (radius: 5)
[01:44:44 -40718.938629] SLOW spr round 3 (radius: 5)
[01:45:29 -40718.938591] SLOW spr round 4 (radius: 10)
[01:46:16 -40718.938581] SLOW spr round 5 (radius: 15)
[01:47:43 -40718.938526] SLOW spr round 6 (radius: 20)
[01:49:31 -40718.938525] SLOW spr round 7 (radius: 25)
[01:50:06] [worker #3] ML tree search #20, logLikelihood: -40707.909436
[01:51:26 -40718.938525] Model parameter optimization (eps = 0.100000)

[01:51:33] [worker #0] ML tree search #17, logLikelihood: -40718.684098

[01:52:38] [worker #2] ML tree search #19, logLikelihood: -40719.858007
[01:55:48] [worker #1] ML tree search #18, logLikelihood: -40719.972552

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.247972,0.757800) (0.167770,0.727376) (0.446694,0.951715) (0.137564,1.925866) 
   Base frequencies (model): 
M0: 0.147383 0.017579 0.058208 0.017707 0.026331 0.041582 0.017494 0.027859 0.011849 0.076971 0.147823 0.019535 0.037132 0.029940 0.008059 0.088179 0.089653 0.006477 0.032308 0.097931 
M1: 0.063139 0.066357 0.011586 0.066571 0.010800 0.009276 0.053984 0.146986 0.034214 0.088822 0.098196 0.032390 0.021263 0.072697 0.016761 0.020711 0.020797 0.025463 0.045615 0.094372 
M2: 0.062457 0.066826 0.049332 0.065270 0.006513 0.041231 0.058965 0.080852 0.028024 0.037024 0.075925 0.064131 0.019620 0.028710 0.104579 0.056388 0.062027 0.008241 0.033124 0.050760 
M3: 0.106471 0.074171 0.044513 0.096390 0.002148 0.066733 0.158908 0.037625 0.020691 0.014608 0.028797 0.105352 0.007864 0.007477 0.083595 0.055726 0.047711 0.003975 0.010088 0.027159 
   Substitution rates (model): 
M 0: 0.295719 0.067388 0.253712 1.029289 0.107964 0.514644 10.868848 0.380498 0.084223 0.086976 0.188789 0.286389 0.155567 1.671061 2.132922 0.529591 0.115551 0.102453 0.916683 0.448317 0.457483 0.576016 1.741924 0.736017 0.704334 5.658311 0.123387 0.221777 93.433377 0.382175 0.235965 6.535048 0.525521 0.303537 0.641259 0.289466 0.102065 2.358429 0.251987 0.216561 0.503084 0.435271 4.873453 0.090748 0.033310 0.746537 0.128905 0.127321 0.904011 0.939733 0.435450 0.046646 0.262076 0.043986 0.189008 0.599450 109.901504 1.070052 5.229858 0.052764 0.021407 0.621146 0.081091 0.205164 5.164456 0.747330 0.308078 0.260889 0.185083 0.080708 0.029955 0.084794 1.862626 0.553477 0.151733 0.230320 0.096955 0.352526 0.590018 0.386853 1.559564 0.606648 0.587531 0.592318 0.885230 4.117654 0.246260 6.508329 0.054187 0.195703 1.669092 0.810168 0.066081 2.437439 0.165666 0.106333 0.093417 0.035149 0.072549 1.202023 1.634845 0.060194 0.069359 2.448827 0.232297 0.064822 3.537387 0.435384 0.290413 0.280695 0.105999 0.206603 0.404968 0.048984 0.069963 0.256662 0.228519 0.241077 4.320442 3.656545 0.290216 0.307466 0.096556 0.306067 0.204296 0.504221 1.991533 0.655465 6.799829 11.291065 0.961142 0.448965 6.227274 20.304886 0.205944 1.495537 0.091940 1.994320 0.754940 0.170343 0.050315 0.372166 0.206332 0.097050 5.381403 0.122332 3.256485 2.261319 0.848067 0.064441 0.102493 0.459041 0.133091 0.561215 0.457430 0.163849 5.260446 0.360946 0.389413 0.033291 0.115301 0.112593 1.559944 0.426508 0.132547 0.498634 0.559069 0.264728 0.693307 0.438856 0.306683 0.109129 18.392863 66.647302 0.400021 4.586081 2.099355 0.411347 0.476350 0.584622 3.634276 0.101797 0.148995 0.089177 0.034710 0.063603 0.755865 20.561407 0.133790 0.154902 
M 1: 0.066142 0.590377 0.069930 9.850951 1.101363 0.150375 0.568586 0.051668 0.127170 0.292429 0.071458 1.218562 0.075144 7.169085 30.139501 13.461692 0.021372 0.045779 4.270235 0.468325 0.013688 0.302287 1.353957 0.028386 0.037750 0.262130 0.016923 0.064289 0.855973 0.079621 0.011169 0.161937 0.276530 0.161053 0.081472 0.036742 0.030342 2.851667 3.932151 8.159169 0.219934 0.421974 2.468752 0.344765 0.210724 1.172204 0.763553 0.082464 0.726566 11.149790 4.782635 0.058046 0.498072 0.258487 0.146882 0.249672 0.560142 0.046719 0.106259 0.003656 0.004200 0.014189 0.009876 0.002656 0.040244 0.267322 0.053740 0.006597 0.027639 0.012745 0.582670 0.005035 0.275844 0.098208 0.445038 1.217010 0.033969 1.988516 0.681161 0.825960 18.762977 11.949233 0.286794 0.534219 4.336817 3.054085 0.129551 4.210126 0.165753 1.088704 1.889645 3.344809 0.111063 2.067758 3.547017 2.466507 0.188236 0.203493 0.281953 0.037250 0.029788 0.008541 0.014768 0.125869 0.056702 0.004186 0.110993 0.201148 0.139705 0.009201 0.012095 0.043812 0.013513 0.002533 0.005848 0.031390 0.021612 0.004854 0.129497 0.976631 0.053397 0.019475 0.004964 0.015539 0.031779 0.064558 0.065585 0.079927 0.095591 0.196886 0.408834 0.126088 0.037226 0.452302 0.016212 7.278994 0.029917 7.918203 0.450964 0.169797 0.104288 1.578530 0.015909 0.094365 16.179952 0.042762 14.799537 1.506485 0.637893 0.123793 0.641351 0.154810 0.140750 3.416059 0.259400 0.009457 0.090576 0.292108 0.297913 0.017172 0.021976 0.032578 1.375871 0.457399 0.598048 4.418398 0.239749 0.168432 2.950318 0.143327 0.328689 0.125011 0.562720 1.414883 0.227807 3.478333 2.984862 0.061299 0.077470 1.050562 13.974326 0.154326 0.224675 0.112000 0.060703 0.123480 5.294490 0.447011 0.033381 0.045528 
M 2: 0.733336 0.558955 0.503360 4.149599 1.415369 1.367574 1.263002 0.994098 0.517204 0.775054 0.763094 1.890137 0.540460 0.200122 4.972745 1.825593 0.450842 0.526135 3.839269 0.597671 0.058964 2.863355 2.872594 0.258365 0.366868 2.578946 0.358350 0.672023 5.349861 0.691594 0.063347 0.032875 0.821562 0.580847 0.661866 0.265730 0.395134 5.581680 1.279881 1.335650 0.397108 1.840061 5.739035 0.284730 0.109781 1.612642 0.466979 0.141582 0.019509 4.670980 1.967383 0.088064 0.581928 0.145401 0.225860 0.434096 2.292917 1.024707 0.821921 0.027824 0.021443 0.088850 0.060820 0.018288 0.042687 1.199607 0.420710 0.037642 0.141233 0.090101 1.043232 0.209978 0.823594 3.039380 1.463390 1.983693 0.397640 2.831098 4.102068 0.059723 5.901348 2.034980 2.600668 5.413080 4.193725 4.534772 0.377181 4.877840 0.370939 1.298542 3.509873 2.646440 0.087872 0.072299 1.139018 0.864479 0.390688 0.322761 0.625409 0.496780 0.532488 0.232460 0.169219 0.755219 0.379926 0.020447 0.023282 0.503875 0.577513 0.109318 0.153776 0.696533 0.398817 0.008940 0.043707 0.436013 0.087640 0.064863 0.036426 1.673207 0.124068 0.218118 0.039217 0.104335 0.349195 0.838324 0.888693 0.488389 1.385133 0.050226 0.962470 0.502294 1.065585 8.351808 0.377304 5.102837 0.561690 7.010411 3.054968 0.039318 0.204155 2.653232 0.564368 0.854294 15.559906 0.401070 8.929538 5.525874 0.067505 0.273372 0.437116 1.927515 0.940458 2.508169 1.357738 0.043394 0.023126 0.567639 1.048288 0.120994 0.180650 0.449074 3.135353 0.012695 0.570771 2.319555 1.856122 0.975427 3.404087 0.015631 0.458799 0.151684 4.154750 11.429924 1.457957 0.233109 0.077004 0.011074 0.026268 0.052132 8.113282 0.377578 0.429221 0.260296 0.222293 0.273138 2.903836 4.731579 0.564762 0.681215 
M 3: 0.658412 0.566269 0.854111 0.884454 1.309554 1.272639 1.874713 0.552007 0.227683 0.581512 0.695190 0.967985 0.344015 0.978992 3.427163 2.333253 0.154701 0.221089 2.088785 0.540749 0.058015 5.851132 2.294145 0.182966 0.684164 3.192521 0.528161 1.128882 3.010922 1.012866 0.227296 0.156635 0.878405 0.802754 0.830884 0.431617 0.456530 3.060574 1.279257 1.438430 0.431464 2.075952 4.840271 0.644656 0.266076 2.084975 0.720060 0.291854 0.028961 4.071574 2.258357 0.073037 1.238426 0.199728 0.160296 0.482619 2.992763 1.296206 0.841829 0.031467 0.048542 0.132774 0.133055 0.056045 0.209188 0.925172 0.360522 0.094591 0.313945 0.118104 0.992259 0.086318 2.149634 5.103188 3.775817 3.954021 0.190734 1.776095 4.495841 0.264277 7.063879 2.221150 3.017954 8.558815 4.310199 2.130054 0.571406 4.137385 0.437589 2.071689 2.498630 1.763546 0.116381 0.296578 1.033710 1.283423 0.312579 0.305772 0.681277 0.507160 0.351381 0.189152 0.217780 0.767361 0.278392 0.092075 0.177263 0.451893 0.653836 0.074620 0.181992 0.752277 0.679853 0.025780 0.082005 0.326441 0.343977 0.195877 0.217424 3.057583 0.377558 0.401252 0.072258 0.241015 0.665865 1.266791 0.680174 0.717301 4.001286 0.362942 1.189259 0.964545 1.350568 12.869737 0.531100 8.904999 0.652629 10.091413 2.671718 0.086367 0.359932 4.797423 0.336801 1.021885 23.029406 0.440178 14.013035 5.069337 0.539010 0.742569 0.780580 1.331875 1.531589 4.414850 1.082703 0.091278 0.172734 0.693405 1.422571 0.068958 0.163829 0.481711 4.643214 0.121821 0.584083 4.216178 1.677263 1.575754 5.046403 0.161015 1.531223 0.599244 5.832025 33.873091 1.914768 1.287474 0.444362 0.076328 0.079916 0.466823 5.231362 0.548763 0.831890 0.382271 0.208791 0.307846 3.717971 5.910440 0.282540 0.964421 


Final LogLikelihood: -40707.909436

AIC score: 83165.818872 / AICc score: 1616165.818872 / BIC score: 86131.256635
Free parameters (model + branch lengths): 875

WARNING: Number of free parameters (K=875) is larger than alignment size (n=219).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 63 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O15027/3_mltree/O15027.raxml.log

Analysis started: 01-Jul-2021 11:07:09 / finished: 01-Jul-2021 13:02:57

Elapsed time: 6948.148 seconds

Consumed energy: 493.858 Wh (= 2 km in an electric car, or 12 km with an e-scooter!)