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 06-Jul-2021 03:00:55 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/2_msa/Q14938_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/2_msa/Q14938_trimmed_msa.fasta
[00:00:00] Loaded alignment with 582 taxa and 498 sites

WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_J9P9P4_J9P9P4_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_I3M017_I3M017_ICTTR_43179 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_G3SMH9_G3SMH9_LOXAF_9785 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_A0A286ZNP3_A0A286ZNP3_PIG_9823 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_A0A1S3AIZ2_A0A1S3AIZ2_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_A0A1S3FIC4_A0A1S3FIC4_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_A0A2U4BB05_A0A2U4BB05_TURTR_9739 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_A0A2Y9NDC3_A0A2Y9NDC3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_M3XYG7_M3XYG7_MUSPF_9669 and tr_A0A2Y9SWQ4_A0A2Y9SWQ4_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_M3XYZ1_M3XYZ1_MUSPF_9669 and tr_A0A1S3GLU2_A0A1S3GLU2_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_G3RS25_G3RS25_GORGO_9595 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_A0A2J8S3A0_A0A2J8S3A0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_G1SPW5_G1SPW5_RABIT_9986 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_H2R915_H2R915_PANTR_9598 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_W5PGE5_W5PGE5_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and sp_Q12857_NFIA_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_F7I543_F7I543_CALJA_9483 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_A0A2I3M6D8_A0A2I3M6D8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_A0A1S3FME6_A0A1S3FME6_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_A0A2K5KRK6_A0A2K5KRK6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_M3Y811_M3Y811_MUSPF_9669 and tr_A0A2K6C521_A0A2K6C521_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G1NSV1_G1NSV1_MYOLU_59463 and tr_O70185_O70185_RAT_10116 are exactly identical!
WARNING: Sequences tr_G1NSV1_G1NSV1_MYOLU_59463 and tr_A0A2U4BB42_A0A2U4BB42_TURTR_9739 are exactly identical!
WARNING: Sequences tr_G3QHH6_G3QHH6_GORGO_9595 and tr_H2QFI2_H2QFI2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QHH6_G3QHH6_GORGO_9595 and tr_A0A2K5NUB3_A0A2K5NUB3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3QHH6_G3QHH6_GORGO_9595 and tr_A0A2K6C314_A0A2K6C314_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3QHH6_G3QHH6_GORGO_9595 and tr_A0A2K5XGX5_A0A2K5XGX5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3QHH6_G3QHH6_GORGO_9595 and tr_A0A2R8ZVQ3_A0A2R8ZVQ3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SIQ0_G3SIQ0_GORGO_9595 and tr_F6PST0_F6PST0_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3SIQ0_G3SIQ0_GORGO_9595 and tr_A0A2R8N352_A0A2R8N352_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G3SIQ0_G3SIQ0_GORGO_9595 and tr_G7PSC4_G7PSC4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3SIQ0_G3SIQ0_GORGO_9595 and tr_A0A2K5MFT2_A0A2K5MFT2_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3SIQ0_G3SIQ0_GORGO_9595 and tr_A0A2K6D6H2_A0A2K6D6H2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3SIQ0_G3SIQ0_GORGO_9595 and tr_A0A2K5YXA2_A0A2K5YXA2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H2PS55_H2PS55_PONAB_9601 and tr_A0A2I3M5C8_A0A2I3M5C8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_H2PS55_H2PS55_PONAB_9601 and tr_A0A0D9R9X0_A0A0D9R9X0_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F1PM49_F1PM49_CANLF_9615 and tr_A0A287AQ42_A0A287AQ42_PIG_9823 are exactly identical!
WARNING: Sequences tr_H0V202_H0V202_CAVPO_10141 and tr_A0A2U4BBE3_A0A2U4BBE3_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q14938_NFIX_HUMAN_9606 and tr_A0A287B4C0_A0A287B4C0_PIG_9823 are exactly identical!
WARNING: Sequences sp_Q14938_NFIX_HUMAN_9606 and tr_M3VUU8_M3VUU8_FELCA_9685 are exactly identical!
WARNING: Sequences tr_F6WYT7_F6WYT7_MACMU_9544 and tr_A0A2I2V2F9_A0A2I2V2F9_FELCA_9685 are exactly identical!
WARNING: Sequences tr_B4MEX9_B4MEX9_DROVI_7244 and tr_D0Z784_D0Z784_DROVI_7244 are exactly identical!
WARNING: Sequences tr_G1LZ04_G1LZ04_AILME_9646 and tr_G7NW07_G7NW07_MACFA_9541 are exactly identical!
WARNING: Sequences sp_Q0VCL6_NFIB_BOVIN_9913 and tr_A0A2U4BBF0_A0A2U4BBF0_TURTR_9739 are exactly identical!
WARNING: Sequences sp_Q0VCL6_NFIB_BOVIN_9913 and tr_A0A2U3YLC0_A0A2U3YLC0_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_U3KD71_U3KD71_FICAL_59894 and tr_A0A151NJG7_A0A151NJG7_ALLMI_8496 are exactly identical!
WARNING: Sequences tr_U3KD71_U3KD71_FICAL_59894 and tr_A0A1V4JY03_A0A1V4JY03_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A093SH40_A0A093SH40_9PASS_328815 and tr_A0A091USS6_A0A091USS6_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_A0A093SH40_A0A093SH40_9PASS_328815 and tr_A0A087RHX1_A0A087RHX1_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A3Q0EBM2_A0A3Q0EBM2_TARSY_1868482 and tr_A0A2Y9IXU0_A0A2Y9IXU0_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_A0A1U7Q3C1_A0A1U7Q3C1_MESAU_10036 and sp_P13623_NFIX_MESAU_10036 are exactly identical!
WARNING: Sequences tr_A0A2D0QVN8_A0A2D0QVN8_ICTPU_7998 and tr_A0A2D0QXK4_A0A2D0QXK4_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0R9K4_A0A2D0R9K4_ICTPU_7998 and tr_A0A2D0R9K7_A0A2D0R9K7_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RTW0_A0A2D0RTW0_ICTPU_7998 and tr_A0A2D0RVF0_A0A2D0RVF0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U4BB49_A0A2U4BB49_TURTR_9739 and tr_A0A2U3ZJD7_A0A2U3ZJD7_ODORO_9708 are exactly identical!
WARNING: Duplicate sequences found: 55

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/Q14938/3_mltree/Q14938.raxml.reduced.phy

Alignment comprises 1 partitions and 498 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 498 / 498
Gaps: 23.23 %
Invariant sites: 0.80 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 582 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 72 / 5760
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -286779.090491] Initial branch length optimization
[00:00:02 -234661.441678] Model parameter optimization (eps = 10.000000)
[00:00:20 -234111.175507] AUTODETECT spr round 1 (radius: 5)
[00:00:51 -139512.037676] AUTODETECT spr round 2 (radius: 10)
[00:01:23 -102615.244004] AUTODETECT spr round 3 (radius: 15)
[00:02:00 -88131.265848] AUTODETECT spr round 4 (radius: 20)
[00:02:50 -81045.982380] AUTODETECT spr round 5 (radius: 25)
[00:03:54 -78672.928725] SPR radius for FAST iterations: 25 (autodetect)
[00:03:54 -78672.928725] Model parameter optimization (eps = 3.000000)
[00:04:08 -78399.659269] FAST spr round 1 (radius: 25)
[00:04:53 -70580.421998] FAST spr round 2 (radius: 25)
[00:05:29 -70145.565395] FAST spr round 3 (radius: 25)
[00:05:59 -70117.026649] FAST spr round 4 (radius: 25)
[00:06:28 -70094.543452] FAST spr round 5 (radius: 25)
[00:06:56 -70094.370199] FAST spr round 6 (radius: 25)
[00:07:23 -70094.370060] Model parameter optimization (eps = 1.000000)
[00:07:30 -70090.675786] SLOW spr round 1 (radius: 5)
[00:08:06 -70064.058879] SLOW spr round 2 (radius: 5)
[00:08:42 -70060.783692] SLOW spr round 3 (radius: 5)
[00:09:19 -70059.970697] SLOW spr round 4 (radius: 5)
[00:09:55 -70059.102584] SLOW spr round 5 (radius: 5)
[00:10:30 -70059.102389] SLOW spr round 6 (radius: 10)
[00:11:08 -70055.467565] SLOW spr round 7 (radius: 5)
[00:11:52 -70054.770691] SLOW spr round 8 (radius: 5)
[00:12:30 -70054.770108] SLOW spr round 9 (radius: 10)
[00:13:08 -70054.636979] SLOW spr round 10 (radius: 5)
[00:13:51 -70054.555058] SLOW spr round 11 (radius: 10)
[00:14:33 -70034.928845] SLOW spr round 12 (radius: 5)
[00:15:15 -70034.928561] SLOW spr round 13 (radius: 10)
[00:15:56 -70034.928416] SLOW spr round 14 (radius: 15)
[00:16:55 -70023.281237] SLOW spr round 15 (radius: 5)
[00:17:39 -70021.244656] SLOW spr round 16 (radius: 5)
[00:18:20 -70021.126067] SLOW spr round 17 (radius: 5)
[00:18:57 -70021.125522] SLOW spr round 18 (radius: 10)
[00:19:34 -70021.125373] SLOW spr round 19 (radius: 15)
[00:20:33 -70021.125311] SLOW spr round 20 (radius: 20)
[00:21:59 -70020.655573] SLOW spr round 21 (radius: 5)
[00:22:44 -70020.655552] SLOW spr round 22 (radius: 10)
[00:23:29 -70020.655535] SLOW spr round 23 (radius: 15)
[00:24:27 -70020.655518] SLOW spr round 24 (radius: 20)
[00:25:57 -70020.655503] SLOW spr round 25 (radius: 25)
[00:27:37 -70019.584316] SLOW spr round 26 (radius: 5)
[00:28:24 -70019.584277] SLOW spr round 27 (radius: 10)
[00:29:11 -70019.584264] SLOW spr round 28 (radius: 15)
[00:30:09 -70019.584252] SLOW spr round 29 (radius: 20)
[00:31:36 -70019.584240] SLOW spr round 30 (radius: 25)
[00:33:16 -70019.584230] Model parameter optimization (eps = 0.100000)

[00:33:23] ML tree search #1, logLikelihood: -70018.829244

[00:33:23 -284422.465640] Initial branch length optimization
[00:33:27 -231743.729201] Model parameter optimization (eps = 10.000000)
[00:33:46 -231173.986337] AUTODETECT spr round 1 (radius: 5)
[00:34:19 -140686.121927] AUTODETECT spr round 2 (radius: 10)
[00:34:53 -102284.013409] AUTODETECT spr round 3 (radius: 15)
[00:35:29 -91883.233927] AUTODETECT spr round 4 (radius: 20)
[00:36:07 -87844.966221] AUTODETECT spr round 5 (radius: 25)
[00:36:57 -83582.919045] SPR radius for FAST iterations: 25 (autodetect)
[00:36:57 -83582.919045] Model parameter optimization (eps = 3.000000)
[00:37:13 -83342.688673] FAST spr round 1 (radius: 25)
[00:37:54 -70805.270986] FAST spr round 2 (radius: 25)
[00:38:27 -70059.690265] FAST spr round 3 (radius: 25)
[00:38:58 -70032.491385] FAST spr round 4 (radius: 25)
[00:39:27 -70031.779690] FAST spr round 5 (radius: 25)
[00:39:55 -70025.258951] FAST spr round 6 (radius: 25)
[00:40:22 -70023.701181] FAST spr round 7 (radius: 25)
[00:40:49 -70023.700133] Model parameter optimization (eps = 1.000000)
[00:41:00 -70004.013744] SLOW spr round 1 (radius: 5)
[00:41:36 -69987.635225] SLOW spr round 2 (radius: 5)
[00:42:13 -69976.907306] SLOW spr round 3 (radius: 5)
[00:42:49 -69974.103138] SLOW spr round 4 (radius: 5)
[00:43:23 -69974.100231] SLOW spr round 5 (radius: 10)
[00:44:00 -69972.556623] SLOW spr round 6 (radius: 5)
[00:44:44 -69972.459332] SLOW spr round 7 (radius: 10)
[00:45:25 -69972.457945] SLOW spr round 8 (radius: 15)
[00:46:20 -69972.457316] SLOW spr round 9 (radius: 20)
[00:47:37 -69972.456790] SLOW spr round 10 (radius: 25)
[00:49:09 -69972.191146] SLOW spr round 11 (radius: 5)
[00:49:57 -69969.411552] SLOW spr round 12 (radius: 5)
[00:50:39 -69969.410996] SLOW spr round 13 (radius: 10)
[00:51:19 -69969.410866] SLOW spr round 14 (radius: 15)
[00:52:14 -69969.410770] SLOW spr round 15 (radius: 20)
[00:53:32 -69969.155719] SLOW spr round 16 (radius: 5)
[00:54:18 -69969.153566] SLOW spr round 17 (radius: 10)
[00:55:03 -69969.153399] SLOW spr round 18 (radius: 15)
[00:55:58 -69969.153324] SLOW spr round 19 (radius: 20)
[00:57:16 -69969.152878] SLOW spr round 20 (radius: 25)
[00:58:47 -69969.152813] Model parameter optimization (eps = 0.100000)

[00:58:54] ML tree search #2, logLikelihood: -69968.766103

[00:58:54 -283217.458082] Initial branch length optimization
[00:58:57 -231015.198418] Model parameter optimization (eps = 10.000000)
[00:59:16 -230422.236705] AUTODETECT spr round 1 (radius: 5)
[00:59:47 -143799.362080] AUTODETECT spr round 2 (radius: 10)
[01:00:19 -102389.643956] AUTODETECT spr round 3 (radius: 15)
[01:00:57 -84614.771665] AUTODETECT spr round 4 (radius: 20)
[01:01:48 -77918.293356] AUTODETECT spr round 5 (radius: 25)
[01:02:46 -77723.606909] SPR radius for FAST iterations: 25 (autodetect)
[01:02:46 -77723.606909] Model parameter optimization (eps = 3.000000)
[01:02:59 -77462.733980] FAST spr round 1 (radius: 25)
[01:03:40 -70413.146217] FAST spr round 2 (radius: 25)
[01:04:13 -70040.993774] FAST spr round 3 (radius: 25)
[01:04:43 -70021.131099] FAST spr round 4 (radius: 25)
[01:05:12 -70017.889362] FAST spr round 5 (radius: 25)
[01:05:39 -70017.888559] Model parameter optimization (eps = 1.000000)
[01:05:50 -70005.523130] SLOW spr round 1 (radius: 5)
[01:06:26 -69989.515444] SLOW spr round 2 (radius: 5)
[01:07:02 -69988.410333] SLOW spr round 3 (radius: 5)
[01:07:38 -69988.409067] SLOW spr round 4 (radius: 10)
[01:08:14 -69985.767936] SLOW spr round 5 (radius: 5)
[01:08:58 -69985.674108] SLOW spr round 6 (radius: 10)
[01:09:39 -69985.673094] SLOW spr round 7 (radius: 15)
[01:10:38 -69985.672670] SLOW spr round 8 (radius: 20)
[01:11:58 -69985.195831] SLOW spr round 9 (radius: 5)
[01:12:44 -69985.195157] SLOW spr round 10 (radius: 10)
[01:13:31 -69985.167731] SLOW spr round 11 (radius: 15)
[01:14:29 -69985.167362] SLOW spr round 12 (radius: 20)
[01:15:49 -69985.167016] SLOW spr round 13 (radius: 25)
[01:17:26 -69983.952831] SLOW spr round 14 (radius: 5)
[01:18:14 -69982.816993] SLOW spr round 15 (radius: 5)
[01:18:56 -69982.813004] SLOW spr round 16 (radius: 10)
[01:19:36 -69982.810064] SLOW spr round 17 (radius: 15)
[01:20:35 -69982.809733] SLOW spr round 18 (radius: 20)
[01:21:55 -69982.809469] SLOW spr round 19 (radius: 25)
[01:23:34 -69981.036587] SLOW spr round 20 (radius: 5)
[01:24:21 -69981.022931] SLOW spr round 21 (radius: 10)
[01:25:08 -69980.117068] SLOW spr round 22 (radius: 5)
[01:25:50 -69980.116812] SLOW spr round 23 (radius: 10)
[01:26:31 -69980.116572] SLOW spr round 24 (radius: 15)
[01:27:30 -69980.116333] SLOW spr round 25 (radius: 20)
[01:28:51 -69980.116097] SLOW spr round 26 (radius: 25)
[01:30:32 -69980.115864] Model parameter optimization (eps = 0.100000)

[01:30:36] ML tree search #3, logLikelihood: -69980.031078

[01:30:36 -282710.891615] Initial branch length optimization
[01:30:37 -232100.484574] Model parameter optimization (eps = 10.000000)
[01:30:56 -231512.006334] AUTODETECT spr round 1 (radius: 5)
[01:31:28 -137070.967992] AUTODETECT spr round 2 (radius: 10)
[01:32:01 -102747.295923] AUTODETECT spr round 3 (radius: 15)
[01:32:39 -86989.477784] AUTODETECT spr round 4 (radius: 20)
[01:33:24 -83126.914022] AUTODETECT spr round 5 (radius: 25)
[01:34:09 -81599.506227] SPR radius for FAST iterations: 25 (autodetect)
[01:34:09 -81599.506227] Model parameter optimization (eps = 3.000000)
[01:34:20 -81342.537172] FAST spr round 1 (radius: 25)
[01:35:04 -71396.476158] FAST spr round 2 (radius: 25)
[01:35:41 -70184.504702] FAST spr round 3 (radius: 25)
[01:36:12 -70033.246034] FAST spr round 4 (radius: 25)
[01:36:41 -70029.537703] FAST spr round 5 (radius: 25)
[01:37:08 -70028.403951] FAST spr round 6 (radius: 25)
[01:37:35 -70028.403157] Model parameter optimization (eps = 1.000000)
[01:37:45 -70007.536647] SLOW spr round 1 (radius: 5)
[01:38:21 -69987.741934] SLOW spr round 2 (radius: 5)
[01:38:57 -69983.429750] SLOW spr round 3 (radius: 5)
[01:39:32 -69983.418316] SLOW spr round 4 (radius: 10)
[01:40:08 -69980.465219] SLOW spr round 5 (radius: 5)
[01:40:53 -69978.827546] SLOW spr round 6 (radius: 5)
[01:41:31 -69978.825720] SLOW spr round 7 (radius: 10)
[01:42:10 -69972.899501] SLOW spr round 8 (radius: 5)
[01:42:52 -69972.897758] SLOW spr round 9 (radius: 10)
[01:43:33 -69972.897460] SLOW spr round 10 (radius: 15)
[01:44:32 -69972.897184] SLOW spr round 11 (radius: 20)
[01:45:58 -69963.832531] SLOW spr round 12 (radius: 5)
[01:46:44 -69962.495157] SLOW spr round 13 (radius: 5)
[01:47:24 -69959.441127] SLOW spr round 14 (radius: 5)
[01:48:01 -69959.440589] SLOW spr round 15 (radius: 10)
[01:48:36 -69959.298611] SLOW spr round 16 (radius: 5)
[01:49:19 -69959.192094] SLOW spr round 17 (radius: 5)
[01:49:58 -69959.191846] SLOW spr round 18 (radius: 10)
[01:50:34 -69959.191663] SLOW spr round 19 (radius: 15)
[01:51:36 -69959.191281] SLOW spr round 20 (radius: 20)
[01:53:01 -69959.191112] SLOW spr round 21 (radius: 25)
[01:54:35 -69959.190945] Model parameter optimization (eps = 0.100000)

[01:54:38] ML tree search #4, logLikelihood: -69959.136347

[01:54:38 -282453.795037] Initial branch length optimization
[01:54:40 -230472.048541] Model parameter optimization (eps = 10.000000)
[01:54:57 -229820.243881] AUTODETECT spr round 1 (radius: 5)
[01:55:29 -140175.289464] AUTODETECT spr round 2 (radius: 10)
[01:55:59 -106179.233095] AUTODETECT spr round 3 (radius: 15)
[01:56:35 -86190.885032] AUTODETECT spr round 4 (radius: 20)
[01:57:27 -79088.590781] AUTODETECT spr round 5 (radius: 25)
[01:58:33 -78688.450847] SPR radius for FAST iterations: 25 (autodetect)
[01:58:33 -78688.450847] Model parameter optimization (eps = 3.000000)
[01:58:46 -78380.636653] FAST spr round 1 (radius: 25)
[01:59:31 -70440.440228] FAST spr round 2 (radius: 25)
[02:00:05 -70093.718394] FAST spr round 3 (radius: 25)
[02:00:36 -70037.749450] FAST spr round 4 (radius: 25)
[02:01:03 -70032.179355] FAST spr round 5 (radius: 25)
[02:01:30 -70031.993035] FAST spr round 6 (radius: 25)
[02:01:56 -70031.216914] FAST spr round 7 (radius: 25)
[02:02:21 -70031.216357] Model parameter optimization (eps = 1.000000)
[02:02:28 -70027.615701] SLOW spr round 1 (radius: 5)
[02:03:01 -70012.420582] SLOW spr round 2 (radius: 5)
[02:03:36 -70012.419886] SLOW spr round 3 (radius: 10)
[02:04:14 -69996.699897] SLOW spr round 4 (radius: 5)
[02:05:00 -69996.061274] SLOW spr round 5 (radius: 5)
[02:05:38 -69996.061039] SLOW spr round 6 (radius: 10)
[02:06:16 -69996.060906] SLOW spr round 7 (radius: 15)
[02:07:14 -69996.060802] SLOW spr round 8 (radius: 20)
[02:08:30 -69990.169308] SLOW spr round 9 (radius: 5)
[02:09:15 -69990.168799] SLOW spr round 10 (radius: 10)
[02:09:58 -69990.168766] SLOW spr round 11 (radius: 15)
[02:10:52 -69990.168734] SLOW spr round 12 (radius: 20)
[02:12:11 -69989.696660] SLOW spr round 13 (radius: 5)
[02:12:57 -69989.696619] SLOW spr round 14 (radius: 10)
[02:13:42 -69989.696586] SLOW spr round 15 (radius: 15)
[02:14:35 -69989.696553] SLOW spr round 16 (radius: 20)
[02:15:50 -69989.696519] SLOW spr round 17 (radius: 25)
[02:17:18 -69989.696485] Model parameter optimization (eps = 0.100000)

[02:17:22] ML tree search #5, logLikelihood: -69989.465179

[02:17:22 -279832.505267] Initial branch length optimization
[02:17:24 -228417.845348] Model parameter optimization (eps = 10.000000)
[02:17:44 -227849.281660] AUTODETECT spr round 1 (radius: 5)
[02:18:14 -140321.912557] AUTODETECT spr round 2 (radius: 10)
[02:18:46 -99131.461660] AUTODETECT spr round 3 (radius: 15)
[02:19:23 -82071.052100] AUTODETECT spr round 4 (radius: 20)
[02:20:09 -78116.770303] AUTODETECT spr round 5 (radius: 25)
[02:21:01 -78017.420542] SPR radius for FAST iterations: 25 (autodetect)
[02:21:01 -78017.420542] Model parameter optimization (eps = 3.000000)
[02:21:14 -77729.815165] FAST spr round 1 (radius: 25)
[02:21:58 -70366.120553] FAST spr round 2 (radius: 25)
[02:22:33 -70046.938574] FAST spr round 3 (radius: 25)
[02:23:04 -70020.607242] FAST spr round 4 (radius: 25)
[02:23:35 -70015.128280] FAST spr round 5 (radius: 25)
[02:24:02 -70008.972543] FAST spr round 6 (radius: 25)
[02:24:30 -70008.971787] Model parameter optimization (eps = 1.000000)
[02:24:42 -69994.895854] SLOW spr round 1 (radius: 5)
[02:25:20 -69974.741627] SLOW spr round 2 (radius: 5)
[02:25:57 -69974.717985] SLOW spr round 3 (radius: 10)
[02:26:35 -69971.191205] SLOW spr round 4 (radius: 5)
[02:27:20 -69969.054351] SLOW spr round 5 (radius: 5)
[02:27:59 -69969.053047] SLOW spr round 6 (radius: 10)
[02:28:38 -69968.322692] SLOW spr round 7 (radius: 5)
[02:29:21 -69968.321346] SLOW spr round 8 (radius: 10)
[02:30:02 -69968.320981] SLOW spr round 9 (radius: 15)
[02:31:00 -69967.334315] SLOW spr round 10 (radius: 5)
[02:31:47 -69964.321312] SLOW spr round 11 (radius: 5)
[02:32:27 -69964.318849] SLOW spr round 12 (radius: 10)
[02:33:06 -69964.318401] SLOW spr round 13 (radius: 15)
[02:34:04 -69964.318242] SLOW spr round 14 (radius: 20)
[02:35:25 -69964.318132] SLOW spr round 15 (radius: 25)
[02:37:01 -69962.242829] SLOW spr round 16 (radius: 5)
[02:37:49 -69962.242183] SLOW spr round 17 (radius: 10)
[02:38:35 -69962.242103] SLOW spr round 18 (radius: 15)
[02:39:31 -69962.242027] SLOW spr round 19 (radius: 20)
[02:40:52 -69962.241953] SLOW spr round 20 (radius: 25)
[02:42:28 -69962.241882] Model parameter optimization (eps = 0.100000)

[02:42:33] ML tree search #6, logLikelihood: -69961.779685

[02:42:33 -281863.964543] Initial branch length optimization
[02:42:34 -230846.948294] Model parameter optimization (eps = 10.000000)
[02:42:58 -230233.391588] AUTODETECT spr round 1 (radius: 5)
[02:43:29 -136131.855590] AUTODETECT spr round 2 (radius: 10)
[02:44:01 -98925.733963] AUTODETECT spr round 3 (radius: 15)
[02:44:40 -81773.203056] AUTODETECT spr round 4 (radius: 20)
[02:45:26 -76979.157899] AUTODETECT spr round 5 (radius: 25)
[02:46:25 -75334.510712] SPR radius for FAST iterations: 25 (autodetect)
[02:46:25 -75334.510712] Model parameter optimization (eps = 3.000000)
[02:46:37 -75044.737741] FAST spr round 1 (radius: 25)
[02:47:20 -70162.994740] FAST spr round 2 (radius: 25)
[02:47:55 -70021.572398] FAST spr round 3 (radius: 25)
[02:48:25 -70004.820501] FAST spr round 4 (radius: 25)
[02:48:54 -70004.790590] Model parameter optimization (eps = 1.000000)
[02:49:01 -70000.981011] SLOW spr round 1 (radius: 5)
[02:49:38 -69984.174190] SLOW spr round 2 (radius: 5)
[02:50:14 -69983.923395] SLOW spr round 3 (radius: 5)
[02:50:50 -69983.911934] SLOW spr round 4 (radius: 10)
[02:51:28 -69981.456029] SLOW spr round 5 (radius: 5)
[02:52:13 -69981.441684] SLOW spr round 6 (radius: 10)
[02:52:54 -69981.441535] SLOW spr round 7 (radius: 15)
[02:53:53 -69980.726701] SLOW spr round 8 (radius: 5)
[02:54:40 -69978.127821] SLOW spr round 9 (radius: 5)
[02:55:21 -69978.125879] SLOW spr round 10 (radius: 10)
[02:56:01 -69967.510826] SLOW spr round 11 (radius: 5)
[02:56:44 -69967.256021] SLOW spr round 12 (radius: 5)
[02:57:23 -69967.253746] SLOW spr round 13 (radius: 10)
[02:58:01 -69967.253582] SLOW spr round 14 (radius: 15)
[02:59:02 -69964.188212] SLOW spr round 15 (radius: 5)
[02:59:48 -69964.186456] SLOW spr round 16 (radius: 10)
[03:00:32 -69964.186350] SLOW spr round 17 (radius: 15)
[03:01:29 -69964.185161] SLOW spr round 18 (radius: 20)
[03:02:47 -69964.185131] SLOW spr round 19 (radius: 25)
[03:04:21 -69964.054234] SLOW spr round 20 (radius: 5)
[03:05:08 -69964.054080] SLOW spr round 21 (radius: 10)
[03:05:54 -69964.053957] SLOW spr round 22 (radius: 15)
[03:06:50 -69964.053734] SLOW spr round 23 (radius: 20)
[03:08:07 -69964.053372] SLOW spr round 24 (radius: 25)
[03:09:40 -69964.053334] Model parameter optimization (eps = 0.100000)

[03:09:47] ML tree search #7, logLikelihood: -69963.746143

[03:09:47 -280869.715451] Initial branch length optimization
[03:09:48 -227842.612757] Model parameter optimization (eps = 10.000000)
[03:10:06 -227367.980182] AUTODETECT spr round 1 (radius: 5)
[03:10:37 -134493.736935] AUTODETECT spr round 2 (radius: 10)
[03:11:09 -98348.387980] AUTODETECT spr round 3 (radius: 15)
[03:11:47 -81629.429335] AUTODETECT spr round 4 (radius: 20)
[03:12:33 -78567.913745] AUTODETECT spr round 5 (radius: 25)
[03:13:32 -76196.013491] SPR radius for FAST iterations: 25 (autodetect)
[03:13:32 -76196.013491] Model parameter optimization (eps = 3.000000)
[03:13:48 -75954.944220] FAST spr round 1 (radius: 25)
[03:14:26 -70536.701580] FAST spr round 2 (radius: 25)
[03:14:59 -70030.499598] FAST spr round 3 (radius: 25)
[03:15:29 -70000.328831] FAST spr round 4 (radius: 25)
[03:15:57 -69996.876668] FAST spr round 5 (radius: 25)
[03:16:23 -69996.874647] Model parameter optimization (eps = 1.000000)
[03:16:34 -69980.162692] SLOW spr round 1 (radius: 5)
[03:17:09 -69975.386292] SLOW spr round 2 (radius: 5)
[03:17:44 -69974.473926] SLOW spr round 3 (radius: 5)
[03:18:19 -69974.473215] SLOW spr round 4 (radius: 10)
[03:18:55 -69972.029921] SLOW spr round 5 (radius: 5)
[03:19:39 -69968.937634] SLOW spr round 6 (radius: 5)
[03:20:18 -69968.937463] SLOW spr round 7 (radius: 10)
[03:20:57 -69968.822131] SLOW spr round 8 (radius: 5)
[03:21:39 -69968.723665] SLOW spr round 9 (radius: 10)
[03:22:21 -69968.723512] SLOW spr round 10 (radius: 15)
[03:23:21 -69968.723422] SLOW spr round 11 (radius: 20)
[03:24:45 -69968.723154] SLOW spr round 12 (radius: 25)
[03:26:24 -69968.723080] Model parameter optimization (eps = 0.100000)

[03:26:29] ML tree search #8, logLikelihood: -69968.594585

[03:26:29 -284824.698693] Initial branch length optimization
[03:26:30 -232585.638070] Model parameter optimization (eps = 10.000000)
[03:26:50 -231911.294891] AUTODETECT spr round 1 (radius: 5)
[03:27:20 -136811.457221] AUTODETECT spr round 2 (radius: 10)
[03:27:53 -100472.134783] AUTODETECT spr round 3 (radius: 15)
[03:28:28 -81446.303045] AUTODETECT spr round 4 (radius: 20)
[03:29:12 -78263.824194] AUTODETECT spr round 5 (radius: 25)
[03:30:12 -77582.865487] SPR radius for FAST iterations: 25 (autodetect)
[03:30:12 -77582.865487] Model parameter optimization (eps = 3.000000)
[03:30:25 -77340.519907] FAST spr round 1 (radius: 25)
[03:31:07 -70513.613960] FAST spr round 2 (radius: 25)
[03:31:40 -70207.961253] FAST spr round 3 (radius: 25)
[03:32:11 -70167.161644] FAST spr round 4 (radius: 25)
[03:32:39 -70166.824889] FAST spr round 5 (radius: 25)
[03:33:06 -70166.813450] Model parameter optimization (eps = 1.000000)
[03:33:13 -70162.214312] SLOW spr round 1 (radius: 5)
[03:33:49 -70151.934979] SLOW spr round 2 (radius: 5)
[03:34:26 -70151.628103] SLOW spr round 3 (radius: 5)
[03:35:01 -70151.627352] SLOW spr round 4 (radius: 10)
[03:35:39 -70146.291557] SLOW spr round 5 (radius: 5)
[03:36:23 -70144.520144] SLOW spr round 6 (radius: 5)
[03:37:02 -70144.518868] SLOW spr round 7 (radius: 10)
[03:37:41 -70144.518401] SLOW spr round 8 (radius: 15)
[03:38:46 -70009.366390] SLOW spr round 9 (radius: 5)
[03:39:32 -70006.468533] SLOW spr round 10 (radius: 5)
[03:40:12 -70006.468476] SLOW spr round 11 (radius: 10)
[03:40:52 -70006.468444] SLOW spr round 12 (radius: 15)
[03:41:53 -70006.468414] SLOW spr round 13 (radius: 20)
[03:43:15 -70006.468386] SLOW spr round 14 (radius: 25)
[03:44:48 -70006.468357] Model parameter optimization (eps = 0.100000)

[03:44:52] ML tree search #9, logLikelihood: -70006.384519

[03:44:52 -281742.172334] Initial branch length optimization
[03:44:53 -230520.606036] Model parameter optimization (eps = 10.000000)
[03:45:11 -229994.734949] AUTODETECT spr round 1 (radius: 5)
[03:45:43 -130471.990629] AUTODETECT spr round 2 (radius: 10)
[03:46:16 -99284.257541] AUTODETECT spr round 3 (radius: 15)
[03:46:52 -89362.386175] AUTODETECT spr round 4 (radius: 20)
[03:47:44 -81623.457630] AUTODETECT spr round 5 (radius: 25)
[03:48:37 -77904.551094] SPR radius for FAST iterations: 25 (autodetect)
[03:48:37 -77904.551094] Model parameter optimization (eps = 3.000000)
[03:48:50 -77637.810494] FAST spr round 1 (radius: 25)
[03:49:34 -70980.174590] FAST spr round 2 (radius: 25)
[03:50:08 -70030.840865] FAST spr round 3 (radius: 25)
[03:50:39 -70005.275339] FAST spr round 4 (radius: 25)
[03:51:09 -69998.213792] FAST spr round 5 (radius: 25)
[03:51:36 -69998.023745] FAST spr round 6 (radius: 25)
[03:52:02 -69998.023051] Model parameter optimization (eps = 1.000000)
[03:52:09 -69996.448118] SLOW spr round 1 (radius: 5)
[03:52:44 -69981.351479] SLOW spr round 2 (radius: 5)
[03:53:19 -69977.661855] SLOW spr round 3 (radius: 5)
[03:53:54 -69977.659641] SLOW spr round 4 (radius: 10)
[03:54:31 -69977.071270] SLOW spr round 5 (radius: 5)
[03:55:15 -69977.066649] SLOW spr round 6 (radius: 10)
[03:55:58 -69977.064962] SLOW spr round 7 (radius: 15)
[03:56:55 -69976.700307] SLOW spr round 8 (radius: 5)
[03:57:40 -69976.687384] SLOW spr round 9 (radius: 10)
[03:58:25 -69976.687152] SLOW spr round 10 (radius: 15)
[03:59:22 -69976.687024] SLOW spr round 11 (radius: 20)
[04:00:45 -69976.230122] SLOW spr round 12 (radius: 5)
[04:01:31 -69976.229829] SLOW spr round 13 (radius: 10)
[04:02:17 -69976.229801] SLOW spr round 14 (radius: 15)
[04:03:14 -69976.229780] SLOW spr round 15 (radius: 20)
[04:04:37 -69976.229765] SLOW spr round 16 (radius: 25)
[04:06:15 -69976.229752] Model parameter optimization (eps = 0.100000)

[04:06:18] ML tree search #10, logLikelihood: -69976.213471

[04:06:18 -285306.824421] Initial branch length optimization
[04:06:20 -232348.705574] Model parameter optimization (eps = 10.000000)
[04:06:40 -231768.892136] AUTODETECT spr round 1 (radius: 5)
[04:07:12 -143289.297460] AUTODETECT spr round 2 (radius: 10)
[04:07:45 -104634.291673] AUTODETECT spr round 3 (radius: 15)
[04:08:21 -90567.553361] AUTODETECT spr round 4 (radius: 20)
[04:09:03 -83371.471164] AUTODETECT spr round 5 (radius: 25)
[04:09:52 -79679.775231] SPR radius for FAST iterations: 25 (autodetect)
[04:09:52 -79679.775231] Model parameter optimization (eps = 3.000000)
[04:10:05 -79416.854442] FAST spr round 1 (radius: 25)
[04:10:46 -70435.523073] FAST spr round 2 (radius: 25)
[04:11:19 -70081.319575] FAST spr round 3 (radius: 25)
[04:11:50 -70056.187583] FAST spr round 4 (radius: 25)
[04:12:19 -70043.725856] FAST spr round 5 (radius: 25)
[04:12:46 -70042.708947] FAST spr round 6 (radius: 25)
[04:13:13 -70042.706719] Model parameter optimization (eps = 1.000000)
[04:13:25 -70030.630072] SLOW spr round 1 (radius: 5)
[04:14:01 -70017.710516] SLOW spr round 2 (radius: 5)
[04:14:37 -70008.145436] SLOW spr round 3 (radius: 5)
[04:15:12 -70008.145124] SLOW spr round 4 (radius: 10)
[04:15:49 -70007.473022] SLOW spr round 5 (radius: 5)
[04:16:32 -70007.469996] SLOW spr round 6 (radius: 10)
[04:17:14 -70007.468411] SLOW spr round 7 (radius: 15)
[04:18:13 -70007.066687] SLOW spr round 8 (radius: 5)
[04:18:58 -70007.054639] SLOW spr round 9 (radius: 10)
[04:19:42 -70007.054341] SLOW spr round 10 (radius: 15)
[04:20:40 -70007.054146] SLOW spr round 11 (radius: 20)
[04:21:59 -70007.053807] SLOW spr round 12 (radius: 25)
[04:23:33 -70007.053700] Model parameter optimization (eps = 0.100000)

[04:23:37] ML tree search #11, logLikelihood: -70007.027893

[04:23:37 -286186.988625] Initial branch length optimization
[04:23:39 -236461.526150] Model parameter optimization (eps = 10.000000)
[04:23:56 -235914.684053] AUTODETECT spr round 1 (radius: 5)
[04:24:27 -130671.808152] AUTODETECT spr round 2 (radius: 10)
[04:24:59 -102332.946088] AUTODETECT spr round 3 (radius: 15)
[04:25:36 -87451.678379] AUTODETECT spr round 4 (radius: 20)
[04:26:22 -79094.479669] AUTODETECT spr round 5 (radius: 25)
[04:27:10 -78508.033521] SPR radius for FAST iterations: 25 (autodetect)
[04:27:10 -78508.033521] Model parameter optimization (eps = 3.000000)
[04:27:26 -78272.164090] FAST spr round 1 (radius: 25)
[04:28:12 -70544.376690] FAST spr round 2 (radius: 25)
[04:28:49 -70056.006668] FAST spr round 3 (radius: 25)
[04:29:20 -70036.906800] FAST spr round 4 (radius: 25)
[04:29:50 -70029.435469] FAST spr round 5 (radius: 25)
[04:30:17 -70029.434717] Model parameter optimization (eps = 1.000000)
[04:30:32 -70023.578804] SLOW spr round 1 (radius: 5)
[04:31:08 -70014.854176] SLOW spr round 2 (radius: 5)
[04:31:44 -70014.853496] SLOW spr round 3 (radius: 10)
[04:32:22 -70014.094093] SLOW spr round 4 (radius: 5)
[04:33:06 -70013.994046] SLOW spr round 5 (radius: 5)
[04:33:46 -70013.993924] SLOW spr round 6 (radius: 10)
[04:34:25 -70013.656089] SLOW spr round 7 (radius: 5)
[04:35:08 -70013.653788] SLOW spr round 8 (radius: 10)
[04:35:50 -70013.653761] SLOW spr round 9 (radius: 15)
[04:36:48 -70011.281007] SLOW spr round 10 (radius: 5)
[04:37:34 -70008.346395] SLOW spr round 11 (radius: 5)
[04:38:15 -70003.144883] SLOW spr round 12 (radius: 5)
[04:38:53 -70003.112317] SLOW spr round 13 (radius: 10)
[04:39:31 -70003.112196] SLOW spr round 14 (radius: 15)
[04:40:30 -70003.112076] SLOW spr round 15 (radius: 20)
[04:41:49 -70002.298244] SLOW spr round 16 (radius: 5)
[04:42:36 -70000.547695] SLOW spr round 17 (radius: 5)
[04:43:17 -70000.547475] SLOW spr round 18 (radius: 10)
[04:43:57 -70000.547357] SLOW spr round 19 (radius: 15)
[04:44:54 -70000.547240] SLOW spr round 20 (radius: 20)
[04:46:14 -70000.547125] SLOW spr round 21 (radius: 25)
[04:47:47 -69985.413176] SLOW spr round 22 (radius: 5)
[04:48:36 -69979.670806] SLOW spr round 23 (radius: 5)
[04:49:18 -69979.667577] SLOW spr round 24 (radius: 10)
[04:49:58 -69979.458110] SLOW spr round 25 (radius: 5)
[04:50:42 -69978.462011] SLOW spr round 26 (radius: 5)
[04:51:20 -69978.461124] SLOW spr round 27 (radius: 10)
[04:51:59 -69978.460886] SLOW spr round 28 (radius: 15)
[04:53:00 -69978.006324] SLOW spr round 29 (radius: 5)
[04:53:45 -69978.005342] SLOW spr round 30 (radius: 10)
[04:54:29 -69978.005335] SLOW spr round 31 (radius: 15)
[04:55:27 -69978.005330] SLOW spr round 32 (radius: 20)
[04:56:52 -69978.005123] SLOW spr round 33 (radius: 25)
[04:58:26 -69978.005117] Model parameter optimization (eps = 0.100000)

[04:58:35] ML tree search #12, logLikelihood: -69977.571999

[04:58:35 -284342.930254] Initial branch length optimization
[04:58:38 -233421.363229] Model parameter optimization (eps = 10.000000)
[04:58:55 -232785.348941] AUTODETECT spr round 1 (radius: 5)
[04:59:28 -135959.179836] AUTODETECT spr round 2 (radius: 10)
[05:00:01 -101356.267666] AUTODETECT spr round 3 (radius: 15)
[05:00:39 -96082.250614] AUTODETECT spr round 4 (radius: 20)
[05:01:19 -91195.389491] AUTODETECT spr round 5 (radius: 25)
[05:02:05 -83952.938594] SPR radius for FAST iterations: 25 (autodetect)
[05:02:05 -83952.938594] Model parameter optimization (eps = 3.000000)
[05:02:18 -83676.312953] FAST spr round 1 (radius: 25)
[05:02:57 -71155.481345] FAST spr round 2 (radius: 25)
[05:03:29 -70072.140528] FAST spr round 3 (radius: 25)
[05:03:59 -70007.335916] FAST spr round 4 (radius: 25)
[05:04:26 -70003.919303] FAST spr round 5 (radius: 25)
[05:04:53 -70003.917105] Model parameter optimization (eps = 1.000000)
[05:05:00 -70001.575762] SLOW spr round 1 (radius: 5)
[05:05:34 -69985.252776] SLOW spr round 2 (radius: 5)
[05:06:08 -69983.799906] SLOW spr round 3 (radius: 5)
[05:06:41 -69983.798583] SLOW spr round 4 (radius: 10)
[05:07:16 -69982.439802] SLOW spr round 5 (radius: 5)
[05:07:57 -69981.520830] SLOW spr round 6 (radius: 5)
[05:08:34 -69981.520038] SLOW spr round 7 (radius: 10)
[05:09:11 -69980.389373] SLOW spr round 8 (radius: 5)
[05:09:51 -69980.067143] SLOW spr round 9 (radius: 5)
[05:10:29 -69980.066517] SLOW spr round 10 (radius: 10)
[05:11:07 -69980.066494] SLOW spr round 11 (radius: 15)
[05:12:08 -69979.683989] SLOW spr round 12 (radius: 5)
[05:12:54 -69979.675847] SLOW spr round 13 (radius: 10)
[05:13:38 -69979.675845] SLOW spr round 14 (radius: 15)
[05:14:36 -69979.675842] SLOW spr round 15 (radius: 20)
[05:15:59 -69979.675642] SLOW spr round 16 (radius: 25)
[05:17:35 -69979.675640] Model parameter optimization (eps = 0.100000)

[05:17:40] ML tree search #13, logLikelihood: -69979.569603

[05:17:40 -285253.828083] Initial branch length optimization
[05:17:42 -232351.587523] Model parameter optimization (eps = 10.000000)
[05:18:00 -231753.697629] AUTODETECT spr round 1 (radius: 5)
[05:18:30 -136133.147738] AUTODETECT spr round 2 (radius: 10)
[05:19:03 -98755.115239] AUTODETECT spr round 3 (radius: 15)
[05:19:43 -84355.335832] AUTODETECT spr round 4 (radius: 20)
[05:20:30 -77221.263497] AUTODETECT spr round 5 (radius: 25)
[05:21:29 -76944.938153] SPR radius for FAST iterations: 25 (autodetect)
[05:21:30 -76944.938153] Model parameter optimization (eps = 3.000000)
[05:21:43 -76682.422678] FAST spr round 1 (radius: 25)
[05:22:23 -70329.053213] FAST spr round 2 (radius: 25)
[05:22:57 -70066.229087] FAST spr round 3 (radius: 25)
[05:23:26 -70026.103787] FAST spr round 4 (radius: 25)
[05:23:53 -70016.981926] FAST spr round 5 (radius: 25)
[05:24:19 -70016.980516] Model parameter optimization (eps = 1.000000)
[05:24:27 -70012.858560] SLOW spr round 1 (radius: 5)
[05:25:02 -70000.393293] SLOW spr round 2 (radius: 5)
[05:25:37 -69999.775025] SLOW spr round 3 (radius: 5)
[05:26:10 -69999.774411] SLOW spr round 4 (radius: 10)
[05:26:46 -69999.023847] SLOW spr round 5 (radius: 5)
[05:27:28 -69998.027827] SLOW spr round 6 (radius: 5)
[05:28:05 -69997.658249] SLOW spr round 7 (radius: 5)
[05:28:40 -69997.657480] SLOW spr round 8 (radius: 10)
[05:29:16 -69997.657028] SLOW spr round 9 (radius: 15)
[05:30:16 -69994.378509] SLOW spr round 10 (radius: 5)
[05:30:59 -69991.754413] SLOW spr round 11 (radius: 5)
[05:31:38 -69990.537870] SLOW spr round 12 (radius: 5)
[05:32:14 -69990.536478] SLOW spr round 13 (radius: 10)
[05:32:50 -69990.242903] SLOW spr round 14 (radius: 5)
[05:33:31 -69990.240764] SLOW spr round 15 (radius: 10)
[05:34:11 -69990.239836] SLOW spr round 16 (radius: 15)
[05:35:08 -69990.071927] SLOW spr round 17 (radius: 5)
[05:35:51 -69989.986212] SLOW spr round 18 (radius: 10)
[05:36:33 -69989.985053] SLOW spr round 19 (radius: 15)
[05:37:31 -69989.984604] SLOW spr round 20 (radius: 20)
[05:38:54 -69988.606284] SLOW spr round 21 (radius: 5)
[05:39:38 -69988.220942] SLOW spr round 22 (radius: 5)
[05:40:17 -69988.220330] SLOW spr round 23 (radius: 10)
[05:40:55 -69988.220106] SLOW spr round 24 (radius: 15)
[05:41:54 -69988.219904] SLOW spr round 25 (radius: 20)
[05:43:16 -69988.219704] SLOW spr round 26 (radius: 25)
[05:44:52 -69986.465944] SLOW spr round 27 (radius: 5)
[05:45:37 -69985.399631] SLOW spr round 28 (radius: 5)
[05:46:17 -69985.398105] SLOW spr round 29 (radius: 10)
[05:46:56 -69985.396758] SLOW spr round 30 (radius: 15)
[05:47:55 -69985.396585] SLOW spr round 31 (radius: 20)
[05:49:17 -69985.396414] SLOW spr round 32 (radius: 25)
[05:50:52 -69985.396244] Model parameter optimization (eps = 0.100000)

[05:50:59] ML tree search #14, logLikelihood: -69985.118271

[05:50:59 -286080.957854] Initial branch length optimization
[05:51:02 -233844.419804] Model parameter optimization (eps = 10.000000)
[05:51:22 -233154.965492] AUTODETECT spr round 1 (radius: 5)
[05:51:53 -138968.802429] AUTODETECT spr round 2 (radius: 10)
[05:52:24 -99931.646764] AUTODETECT spr round 3 (radius: 15)
[05:52:59 -84439.723255] AUTODETECT spr round 4 (radius: 20)
[05:53:37 -82552.667391] AUTODETECT spr round 5 (radius: 25)
[05:54:21 -79660.693694] SPR radius for FAST iterations: 25 (autodetect)
[05:54:21 -79660.693694] Model parameter optimization (eps = 3.000000)
[05:54:34 -79374.073271] FAST spr round 1 (radius: 25)
[05:55:17 -70298.128311] FAST spr round 2 (radius: 25)
[05:55:50 -70048.239772] FAST spr round 3 (radius: 25)
[05:56:19 -70017.806299] FAST spr round 4 (radius: 25)
[05:56:46 -70015.062141] FAST spr round 5 (radius: 25)
[05:57:12 -70015.050661] Model parameter optimization (eps = 1.000000)
[05:57:22 -70010.152180] SLOW spr round 1 (radius: 5)
[05:57:57 -69988.361686] SLOW spr round 2 (radius: 5)
[05:58:31 -69987.435020] SLOW spr round 3 (radius: 5)
[05:59:04 -69987.421742] SLOW spr round 4 (radius: 10)
[05:59:40 -69980.177407] SLOW spr round 5 (radius: 5)
[06:00:22 -69980.049603] SLOW spr round 6 (radius: 5)
[06:00:59 -69980.049143] SLOW spr round 7 (radius: 10)
[06:01:35 -69980.049135] SLOW spr round 8 (radius: 15)
[06:02:34 -69980.049128] SLOW spr round 9 (radius: 20)
[06:03:51 -69980.048903] SLOW spr round 10 (radius: 25)
[06:05:24 -69980.048896] Model parameter optimization (eps = 0.100000)

[06:05:27] ML tree search #15, logLikelihood: -69980.007785

[06:05:27 -284339.570042] Initial branch length optimization
[06:05:30 -232404.177985] Model parameter optimization (eps = 10.000000)
[06:05:48 -231758.543493] AUTODETECT spr round 1 (radius: 5)
[06:06:18 -140725.634303] AUTODETECT spr round 2 (radius: 10)
[06:06:49 -103181.353020] AUTODETECT spr round 3 (radius: 15)
[06:07:25 -80643.773935] AUTODETECT spr round 4 (radius: 20)
[06:08:07 -77319.336152] AUTODETECT spr round 5 (radius: 25)
[06:09:00 -76387.004185] SPR radius for FAST iterations: 25 (autodetect)
[06:09:00 -76387.004185] Model parameter optimization (eps = 3.000000)
[06:09:12 -76089.030345] FAST spr round 1 (radius: 25)
[06:09:56 -70359.023874] FAST spr round 2 (radius: 25)
[06:10:29 -70045.902039] FAST spr round 3 (radius: 25)
[06:10:58 -70015.918406] FAST spr round 4 (radius: 25)
[06:11:26 -70010.202575] FAST spr round 5 (radius: 25)
[06:11:54 -70009.575766] FAST spr round 6 (radius: 25)
[06:12:19 -70009.564878] Model parameter optimization (eps = 1.000000)
[06:12:30 -70002.707114] SLOW spr round 1 (radius: 5)
[06:13:05 -69987.347787] SLOW spr round 2 (radius: 5)
[06:13:39 -69986.595694] SLOW spr round 3 (radius: 5)
[06:14:12 -69986.592553] SLOW spr round 4 (radius: 10)
[06:14:48 -69982.403105] SLOW spr round 5 (radius: 5)
[06:15:31 -69977.966065] SLOW spr round 6 (radius: 5)
[06:16:08 -69977.872344] SLOW spr round 7 (radius: 10)
[06:16:44 -69977.625503] SLOW spr round 8 (radius: 5)
[06:17:26 -69977.622256] SLOW spr round 9 (radius: 10)
[06:18:05 -69977.621634] SLOW spr round 10 (radius: 15)
[06:19:01 -69976.598090] SLOW spr round 11 (radius: 5)
[06:19:45 -69976.495316] SLOW spr round 12 (radius: 5)
[06:20:23 -69976.494573] SLOW spr round 13 (radius: 10)
[06:21:00 -69976.494393] SLOW spr round 14 (radius: 15)
[06:21:58 -69976.494299] SLOW spr round 15 (radius: 20)
[06:23:16 -69976.494019] SLOW spr round 16 (radius: 25)
[06:24:48 -69971.665023] SLOW spr round 17 (radius: 5)
[06:25:33 -69969.503054] SLOW spr round 18 (radius: 5)
[06:26:12 -69969.502298] SLOW spr round 19 (radius: 10)
[06:26:50 -69969.502158] SLOW spr round 20 (radius: 15)
[06:27:46 -69969.502100] SLOW spr round 21 (radius: 20)
[06:29:04 -69969.502052] SLOW spr round 22 (radius: 25)
[06:30:35 -69969.502007] Model parameter optimization (eps = 0.100000)

[06:30:42] ML tree search #16, logLikelihood: -69966.892028

[06:30:43 -280868.690459] Initial branch length optimization
[06:30:44 -230260.504434] Model parameter optimization (eps = 10.000000)
[06:31:07 -229406.779538] AUTODETECT spr round 1 (radius: 5)
[06:31:37 -139353.355362] AUTODETECT spr round 2 (radius: 10)
[06:32:08 -105684.986240] AUTODETECT spr round 3 (radius: 15)
[06:32:44 -95665.496581] AUTODETECT spr round 4 (radius: 20)
[06:33:20 -83853.133298] AUTODETECT spr round 5 (radius: 25)
[06:34:01 -80947.701202] SPR radius for FAST iterations: 25 (autodetect)
[06:34:01 -80947.701202] Model parameter optimization (eps = 3.000000)
[06:34:13 -80655.218435] FAST spr round 1 (radius: 25)
[06:34:54 -70914.032453] FAST spr round 2 (radius: 25)
[06:35:27 -70126.767228] FAST spr round 3 (radius: 25)
[06:35:57 -70061.354681] FAST spr round 4 (radius: 25)
[06:36:25 -70052.881537] FAST spr round 5 (radius: 25)
[06:36:51 -70048.411489] FAST spr round 6 (radius: 25)
[06:37:17 -70048.409872] Model parameter optimization (eps = 1.000000)
[06:37:24 -70044.018573] SLOW spr round 1 (radius: 5)
[06:37:58 -70021.265959] SLOW spr round 2 (radius: 5)
[06:38:33 -70020.455343] SLOW spr round 3 (radius: 5)
[06:39:07 -70019.930832] SLOW spr round 4 (radius: 5)
[06:39:41 -70019.929472] SLOW spr round 5 (radius: 10)
[06:40:16 -70012.887612] SLOW spr round 6 (radius: 5)
[06:40:59 -70011.685471] SLOW spr round 7 (radius: 5)
[06:41:37 -70011.109278] SLOW spr round 8 (radius: 5)
[06:42:12 -70011.108360] SLOW spr round 9 (radius: 10)
[06:42:47 -70011.028498] SLOW spr round 10 (radius: 15)
[06:43:47 -69997.940032] SLOW spr round 11 (radius: 5)
[06:44:32 -69997.812460] SLOW spr round 12 (radius: 5)
[06:45:10 -69997.811830] SLOW spr round 13 (radius: 10)
[06:45:48 -69972.962892] SLOW spr round 14 (radius: 5)
[06:46:34 -69960.668550] SLOW spr round 15 (radius: 5)
[06:47:13 -69960.666329] SLOW spr round 16 (radius: 10)
[06:47:49 -69959.198535] SLOW spr round 17 (radius: 5)
[06:48:30 -69959.197648] SLOW spr round 18 (radius: 10)
[06:49:09 -69959.197582] SLOW spr round 19 (radius: 15)
[06:50:05 -69959.197574] SLOW spr round 20 (radius: 20)
[06:51:23 -69959.197570] SLOW spr round 21 (radius: 25)
[06:52:55 -69958.613977] SLOW spr round 22 (radius: 5)
[06:53:41 -69958.611813] SLOW spr round 23 (radius: 10)
[06:54:26 -69958.611574] SLOW spr round 24 (radius: 15)
[06:55:23 -69958.611538] SLOW spr round 25 (radius: 20)
[06:56:42 -69958.611533] SLOW spr round 26 (radius: 25)
[06:58:13 -69958.611530] Model parameter optimization (eps = 0.100000)

[06:58:19] ML tree search #17, logLikelihood: -69957.944212

[06:58:19 -284516.683727] Initial branch length optimization
[06:58:21 -233636.023100] Model parameter optimization (eps = 10.000000)
[06:58:40 -233014.944713] AUTODETECT spr round 1 (radius: 5)
[06:59:11 -143722.362778] AUTODETECT spr round 2 (radius: 10)
[06:59:43 -107683.194746] AUTODETECT spr round 3 (radius: 15)
[07:00:18 -89179.424211] AUTODETECT spr round 4 (radius: 20)
[07:00:57 -84246.328125] AUTODETECT spr round 5 (radius: 25)
[07:01:45 -82854.508865] SPR radius for FAST iterations: 25 (autodetect)
[07:01:45 -82854.508865] Model parameter optimization (eps = 3.000000)
[07:01:59 -82599.271273] FAST spr round 1 (radius: 25)
[07:02:44 -70692.300294] FAST spr round 2 (radius: 25)
[07:03:22 -70045.169269] FAST spr round 3 (radius: 25)
[07:03:53 -70030.208557] FAST spr round 4 (radius: 25)
[07:04:20 -70027.632003] FAST spr round 5 (radius: 25)
[07:04:47 -70027.629564] Model parameter optimization (eps = 1.000000)
[07:04:56 -70008.005583] SLOW spr round 1 (radius: 5)
[07:05:30 -69998.426817] SLOW spr round 2 (radius: 5)
[07:06:07 -69993.244812] SLOW spr round 3 (radius: 5)
[07:06:42 -69993.232916] SLOW spr round 4 (radius: 10)
[07:07:17 -69991.279617] SLOW spr round 5 (radius: 5)
[07:08:00 -69989.533996] SLOW spr round 6 (radius: 5)
[07:08:37 -69989.530300] SLOW spr round 7 (radius: 10)
[07:09:15 -69983.636973] SLOW spr round 8 (radius: 5)
[07:09:56 -69983.636129] SLOW spr round 9 (radius: 10)
[07:10:35 -69983.635831] SLOW spr round 10 (radius: 15)
[07:11:30 -69983.250731] SLOW spr round 11 (radius: 5)
[07:12:15 -69983.238828] SLOW spr round 12 (radius: 10)
[07:12:59 -69983.238532] SLOW spr round 13 (radius: 15)
[07:13:53 -69983.238236] SLOW spr round 14 (radius: 20)
[07:15:12 -69982.779305] SLOW spr round 15 (radius: 5)
[07:15:56 -69982.778748] SLOW spr round 16 (radius: 10)
[07:16:40 -69975.573003] SLOW spr round 17 (radius: 5)
[07:17:22 -69970.213731] SLOW spr round 18 (radius: 5)
[07:17:58 -69970.212391] SLOW spr round 19 (radius: 10)
[07:18:35 -69970.211689] SLOW spr round 20 (radius: 15)
[07:19:32 -69970.211204] SLOW spr round 21 (radius: 20)
[07:20:50 -69970.210790] SLOW spr round 22 (radius: 25)
[07:22:22 -69970.210398] Model parameter optimization (eps = 0.100000)

[07:22:27] ML tree search #18, logLikelihood: -69970.006276

[07:22:27 -283513.795791] Initial branch length optimization
[07:22:30 -230587.896309] Model parameter optimization (eps = 10.000000)
[07:22:48 -229997.274103] AUTODETECT spr round 1 (radius: 5)
[07:23:19 -139272.432432] AUTODETECT spr round 2 (radius: 10)
[07:23:50 -101253.621931] AUTODETECT spr round 3 (radius: 15)
[07:24:26 -82873.660953] AUTODETECT spr round 4 (radius: 20)
[07:25:11 -78086.405442] AUTODETECT spr round 5 (radius: 25)
[07:25:57 -77676.116534] SPR radius for FAST iterations: 25 (autodetect)
[07:25:57 -77676.116534] Model parameter optimization (eps = 3.000000)
[07:26:09 -77368.830429] FAST spr round 1 (radius: 25)
[07:26:52 -70374.928984] FAST spr round 2 (radius: 25)
[07:27:26 -70069.926213] FAST spr round 3 (radius: 25)
[07:27:56 -70012.042904] FAST spr round 4 (radius: 25)
[07:28:24 -70008.987739] FAST spr round 5 (radius: 25)
[07:28:50 -70008.934642] Model parameter optimization (eps = 1.000000)
[07:29:00 -70007.030704] SLOW spr round 1 (radius: 5)
[07:29:35 -69995.868066] SLOW spr round 2 (radius: 5)
[07:30:10 -69994.518678] SLOW spr round 3 (radius: 5)
[07:30:44 -69994.518002] SLOW spr round 4 (radius: 10)
[07:31:19 -69993.884901] SLOW spr round 5 (radius: 5)
[07:32:01 -69993.883073] SLOW spr round 6 (radius: 10)
[07:32:40 -69987.988796] SLOW spr round 7 (radius: 5)
[07:33:21 -69987.986496] SLOW spr round 8 (radius: 10)
[07:34:00 -69987.876718] SLOW spr round 9 (radius: 5)
[07:34:41 -69987.776097] SLOW spr round 10 (radius: 5)
[07:35:17 -69987.775064] SLOW spr round 11 (radius: 10)
[07:35:53 -69987.774570] SLOW spr round 12 (radius: 15)
[07:36:49 -69986.948155] SLOW spr round 13 (radius: 5)
[07:37:32 -69986.935462] SLOW spr round 14 (radius: 10)
[07:38:13 -69986.935300] SLOW spr round 15 (radius: 15)
[07:39:07 -69986.935141] SLOW spr round 16 (radius: 20)
[07:40:22 -69986.934798] SLOW spr round 17 (radius: 25)
[07:41:49 -69986.934645] Model parameter optimization (eps = 0.100000)

[07:41:53] ML tree search #19, logLikelihood: -69986.888536

[07:41:53 -284977.855853] Initial branch length optimization
[07:41:55 -232035.673788] Model parameter optimization (eps = 10.000000)
[07:42:06 -231341.934012] AUTODETECT spr round 1 (radius: 5)
[07:42:37 -137223.385363] AUTODETECT spr round 2 (radius: 10)
[07:43:08 -107334.649436] AUTODETECT spr round 3 (radius: 15)
[07:43:46 -83422.546177] AUTODETECT spr round 4 (radius: 20)
[07:44:33 -79423.444853] AUTODETECT spr round 5 (radius: 25)
[07:45:30 -78708.772795] SPR radius for FAST iterations: 25 (autodetect)
[07:45:30 -78708.772795] Model parameter optimization (eps = 3.000000)
[07:45:43 -78459.794830] FAST spr round 1 (radius: 25)
[07:46:22 -70442.456630] FAST spr round 2 (radius: 25)
[07:46:53 -70169.655911] FAST spr round 3 (radius: 25)
[07:47:21 -70154.754425] FAST spr round 4 (radius: 25)
[07:47:49 -70153.283674] FAST spr round 5 (radius: 25)
[07:48:15 -70153.282608] Model parameter optimization (eps = 1.000000)
[07:48:26 -70147.406595] SLOW spr round 1 (radius: 5)
[07:49:00 -70127.376785] SLOW spr round 2 (radius: 5)
[07:49:35 -70118.006109] SLOW spr round 3 (radius: 5)
[07:50:09 -70117.503319] SLOW spr round 4 (radius: 5)
[07:50:43 -70117.501615] SLOW spr round 5 (radius: 10)
[07:51:18 -70117.223642] SLOW spr round 6 (radius: 5)
[07:51:59 -70117.221896] SLOW spr round 7 (radius: 10)
[07:52:38 -70117.220790] SLOW spr round 8 (radius: 15)
[07:53:32 -70114.250676] SLOW spr round 9 (radius: 5)
[07:54:16 -70114.237923] SLOW spr round 10 (radius: 10)
[07:54:57 -70114.237762] SLOW spr round 11 (radius: 15)
[07:55:50 -70114.237626] SLOW spr round 12 (radius: 20)
[07:57:03 -70112.302930] SLOW spr round 13 (radius: 5)
[07:57:48 -70111.173188] SLOW spr round 14 (radius: 5)
[07:58:27 -70108.296842] SLOW spr round 15 (radius: 5)
[07:59:02 -70108.296543] SLOW spr round 16 (radius: 10)
[07:59:37 -70108.296451] SLOW spr round 17 (radius: 15)
[08:00:33 -70102.290872] SLOW spr round 18 (radius: 5)
[08:01:16 -70102.289527] SLOW spr round 19 (radius: 10)
[08:01:57 -70102.289409] SLOW spr round 20 (radius: 15)
[08:02:50 -70102.289347] SLOW spr round 21 (radius: 20)
[08:04:01 -70102.289294] SLOW spr round 22 (radius: 25)
[08:05:26 -70102.289245] Model parameter optimization (eps = 0.100000)

[08:05:30] ML tree search #20, logLikelihood: -70102.252099


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.147575,0.254336) (0.166251,1.110352) (0.225226,0.546805) (0.460948,1.420365) 
   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: -69957.944212

AIC score: 142249.888424 / AICc score: 2868361.888424 / BIC score: 147163.658714
Free parameters (model + branch lengths): 1167

WARNING: Number of free parameters (K=1167) is larger than alignment size (n=498).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 1 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q14938/3_mltree/Q14938.raxml.log

Analysis started: 06-Jul-2021 03:00:55 / finished: 06-Jul-2021 11:06:26

Elapsed time: 29130.399 seconds

Consumed energy: 2608.381 Wh (= 13 km in an electric car, or 65 km with an e-scooter!)