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 20:36:02 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/2_msa/Q13422_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/3_mltree/Q13422 --seed 2 --threads 6 --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 (6 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/2_msa/Q13422_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 401 sites

WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_G1QDM6_G1QDM6_MYOLU_59463 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_J9NTQ0_J9NTQ0_CANLF_9615 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_H0XPV9_H0XPV9_OTOGA_30611 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A287A3P0_A0A287A3P0_PIG_9823 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_F1N670_F1N670_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_M3WSR9_M3WSR9_FELCA_9685 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A1S3ADT5_A0A1S3ADT5_ERIEU_9365 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A1U7UAC6_A0A1U7UAC6_TARSY_1868482 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A2U3W197_A0A2U3W197_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A2U3XBG7_A0A2U3XBG7_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A2Y9KXL4_A0A2Y9KXL4_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3XPF8_M3XPF8_MUSPF_9669 and tr_A0A384DTR3_A0A384DTR3_URSMA_29073 are exactly identical!
WARNING: Sequences tr_A0A2I3FZF9_A0A2I3FZF9_NOMLE_61853 and tr_G3R6P8_G3R6P8_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I3FZF9_A0A2I3FZF9_NOMLE_61853 and tr_A0A0D9RAL2_A0A0D9RAL2_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2I2Y4B6_A0A2I2Y4B6_GORGO_9595 and sp_A2T736_ZKSC8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2Y4B6_A0A2I2Y4B6_GORGO_9595 and sp_A1YG60_ZKSC8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A2J8Q1G0_A0A2J8Q1G0_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and sp_Q9H2S9_IKZF4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_G7N7B0_G7N7B0_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A2R8PL87_A0A2R8PL87_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_G7PIG3_G7PIG3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A0D9QYY9_A0A0D9QYY9_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A2K5LTX4_A0A2K5LTX4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A2K6AQT5_A0A2K6AQT5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A2K5YE94_A0A2K5YE94_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3R7D9_G3R7D9_GORGO_9595 and tr_A0A2R9CIJ3_A0A2R9CIJ3_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A2J8U2Q0_A0A2J8U2Q0_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_H2QUK7_H2QUK7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and sp_Q13422_IKZF1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_F6YC72_F6YC72_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A2R8MF47_A0A2R8MF47_CALJA_9483 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_G7P1S2_G7P1S2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A096NWV9_A0A096NWV9_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A0D9RTY8_A0A0D9RTY8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A2K5NH61_A0A2K5NH61_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A2K6C676_A0A2K6C676_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3RPP3_G3RPP3_GORGO_9595 and tr_A0A2K5ZPN0_A0A2K5ZPN0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3RTC3_G3RTC3_GORGO_9595 and sp_Q96GC6_ZN274_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8U2Z8_A0A2J8U2Z8_PONAB_9601 and sp_Q5REN4_ZN248_PONAB_9601 are exactly identical!
WARNING: Sequences tr_H2NU92_H2NU92_PONAB_9601 and sp_Q9UKT9_IKZF3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2P8H4_H2P8H4_PONAB_9601 and tr_W5QD83_W5QD83_SHEEP_9940 are exactly identical!
WARNING: Sequences tr_H2P8H4_H2P8H4_PONAB_9601 and sp_Q9UKS7_IKZF2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2P8H4_H2P8H4_PONAB_9601 and tr_A0A091CMP2_A0A091CMP2_FUKDA_885580 are exactly identical!
WARNING: Sequences tr_H2P8H4_H2P8H4_PONAB_9601 and tr_A0A2K5LBV8_A0A2K5LBV8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_H2P8H4_H2P8H4_PONAB_9601 and tr_A0A2K6BT04_A0A2K6BT04_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H2P8H4_H2P8H4_PONAB_9601 and tr_A0A2R9C8Y7_A0A2R9C8Y7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1SST1_G1SST1_RABIT_9986 and tr_K7AFV7_K7AFV7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1SST1_G1SST1_RABIT_9986 and tr_F7B8A3_F7B8A3_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G1SST1_G1SST1_RABIT_9986 and tr_A0A096MW48_A0A096MW48_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1SST1_G1SST1_RABIT_9986 and tr_A0A1S3ER65_A0A1S3ER65_DIPOR_10020 are exactly identical!
WARNING: Sequences tr_G1SST1_G1SST1_RABIT_9986 and tr_A0A2K5YC92_A0A2K5YC92_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3SJP3_A0A2I3SJP3_PANTR_9598 and tr_H2QUL5_H2QUL5_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3SJP3_A0A2I3SJP3_PANTR_9598 and tr_A0A2R8ZYY6_A0A2R8ZYY6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3TIE9_A0A2I3TIE9_PANTR_9598 and tr_A0A2R9CGM5_A0A2R9CGM5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QBZ7_H2QBZ7_PANTR_9598 and tr_A0A2R9BW24_A0A2R9BW24_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5Q9D1_W5Q9D1_SHEEP_9940 and tr_F1S1S4_F1S1S4_PIG_9823 are exactly identical!
WARNING: Sequences tr_A0A158NPF2_A0A158NPF2_ATTCE_12957 and tr_A0A195B9A9_A0A195B9A9_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NPF2_A0A158NPF2_ATTCE_12957 and tr_A0A195ETV9_A0A195ETV9_9HYME_34720 are exactly identical!
WARNING: Sequences tr_I3MFQ0_I3MFQ0_ICTTR_43179 and tr_G5BB92_G5BB92_HETGA_10181 are exactly identical!
WARNING: Sequences tr_A0A1D5QG38_A0A1D5QG38_MACMU_9544 and tr_G7PYQ6_G7PYQ6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QTF3_A0A1D5QTF3_MACMU_9544 and tr_G7P1R1_G7P1R1_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5QTF3_A0A1D5QTF3_MACMU_9544 and tr_A0A2K6C4T3_A0A2K6C4T3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5RD30_A0A1D5RD30_MACMU_9544 and tr_G8F4A0_G8F4A0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5RD30_A0A1D5RD30_MACMU_9544 and tr_A0A096P470_A0A096P470_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5RD30_A0A1D5RD30_MACMU_9544 and tr_A0A2K5KU41_A0A2K5KU41_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5RD30_A0A1D5RD30_MACMU_9544 and tr_A0A2K6C701_A0A2K6C701_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6SLB4_F6SLB4_MACMU_9544 and tr_G7PTA6_G7PTA6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7EH74_F7EH74_MACMU_9544 and tr_G7P3S3_G7P3S3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7EH74_F7EH74_MACMU_9544 and tr_A0A096NLJ7_A0A096NLJ7_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7EH74_F7EH74_MACMU_9544 and tr_A0A2K5M129_A0A2K5M129_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7EH74_F7EH74_MACMU_9544 and tr_A0A2K6DJK3_A0A2K6DJK3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7EH74_F7EH74_MACMU_9544 and tr_A0A2K6A186_A0A2K6A186_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7HGH1_F7HGH1_MACMU_9544 and tr_A0A096P5D4_A0A096P5D4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7HGH1_F7HGH1_MACMU_9544 and tr_A0A0D9S376_A0A0D9S376_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7HGH1_F7HGH1_MACMU_9544 and tr_A0A2K5LW35_A0A2K5LW35_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7HGH1_F7HGH1_MACMU_9544 and tr_A0A2K6CKM4_A0A2K6CKM4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7HGH1_F7HGH1_MACMU_9544 and tr_A0A2K5YZH0_A0A2K5YZH0_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H0YXE2_H0YXE2_TAEGU_59729 and tr_A0A218UI62_A0A218UI62_9PASE_299123 are exactly identical!
WARNING: Sequences sp_A2VDW9_IKZF3_BOVIN_9913 and tr_G5E5E5_G5E5E5_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A0D9RU92_A0A0D9RU92_CHLSB_60711 and tr_A0A2K5M1I9_A0A2K5M1I9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A091V0K6_A0A091V0K6_NIPNI_128390 and tr_A0A099ZVT7_A0A099ZVT7_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A226MZ88_A0A226MZ88_CALSU_9009 and tr_A0A226P0A3_A0A226P0A3_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2K5KWT3_A0A2K5KWT3_CERAT_9531 and tr_A0A2K5Y5Q5_A0A2K5Y5Q5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2U3V7A3_A0A2U3V7A3_TURTR_9739 and tr_A0A2U4A8G4_A0A2U4A8G4_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U4BN70_A0A2U4BN70_TURTR_9739 and tr_A0A2Y9MW95_A0A2Y9MW95_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 85

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/Q13422/3_mltree/Q13422.raxml.reduced.phy

Alignment comprises 1 partitions and 401 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 401 / 401
Gaps: 23.72 %
Invariant sites: 0.25 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/3_mltree/Q13422.raxml.rba

Parallelization scheme autoconfig: 3 worker(s) x 2 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 201 / 16080
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -619534.501715] Initial branch length optimization
[00:00:06 -523571.996850] Model parameter optimization (eps = 10.000000)
[00:00:47 -521296.760640] AUTODETECT spr round 1 (radius: 5)
[00:03:19 -357996.352272] AUTODETECT spr round 2 (radius: 10)
[00:06:03 -255783.389421] AUTODETECT spr round 3 (radius: 15)
[00:09:00 -220653.744302] AUTODETECT spr round 4 (radius: 20)
[00:12:09 -198014.712944] AUTODETECT spr round 5 (radius: 25)
[00:15:35 -191364.219120] SPR radius for FAST iterations: 25 (autodetect)
[00:15:35 -191364.219120] Model parameter optimization (eps = 3.000000)
[00:15:57 -191171.776241] FAST spr round 1 (radius: 25)
[00:19:18 -172232.810322] FAST spr round 2 (radius: 25)
[00:21:59 -171520.226536] FAST spr round 3 (radius: 25)
[00:24:17 -171411.688245] FAST spr round 4 (radius: 25)
[00:26:32 -171389.659841] FAST spr round 5 (radius: 25)
[00:28:32 -171386.322513] FAST spr round 6 (radius: 25)
[00:30:29 -171386.306093] Model parameter optimization (eps = 1.000000)
[00:30:55 -171377.639465] SLOW spr round 1 (radius: 5)
[00:33:30 -171348.850020] SLOW spr round 2 (radius: 5)
[00:36:05 -171320.666171] SLOW spr round 3 (radius: 5)
[00:38:38 -171319.052586] SLOW spr round 4 (radius: 5)
[00:41:06 -171319.049480] SLOW spr round 5 (radius: 10)
[00:43:35 -171317.098329] SLOW spr round 6 (radius: 5)
[00:46:36 -171313.301215] SLOW spr round 7 (radius: 5)
[00:49:18 -171308.485564] SLOW spr round 8 (radius: 5)
[00:51:51 -171308.485236] SLOW spr round 9 (radius: 10)
[00:54:19 -171308.485230] SLOW spr round 10 (radius: 15)
[00:58:02 -171305.535875] SLOW spr round 11 (radius: 5)
[01:01:09 -171303.528534] SLOW spr round 12 (radius: 5)
[01:03:55 -171302.909531] SLOW spr round 13 (radius: 5)
[01:06:31 -171301.853674] SLOW spr round 14 (radius: 5)
[01:09:03 -171299.956753] SLOW spr round 15 (radius: 5)
[01:11:31 -171299.956395] SLOW spr round 16 (radius: 10)
[01:13:57 -171299.956374] SLOW spr round 17 (radius: 15)
[01:17:41 -171299.956369] SLOW spr round 18 (radius: 20)
[01:22:56 -171299.956341] SLOW spr round 19 (radius: 25)
[01:29:30 -171297.811577] SLOW spr round 20 (radius: 5)
[01:32:37 -171296.604737] SLOW spr round 21 (radius: 5)
[01:33:36] [worker #1] ML tree search #2, logLikelihood: -171065.537635
[01:35:24 -171296.604590] SLOW spr round 22 (radius: 10)
[01:38:04 -171259.289814] SLOW spr round 23 (radius: 5)
[01:41:08 -171125.342960] SLOW spr round 24 (radius: 5)
[01:43:47 -171114.740209] SLOW spr round 25 (radius: 5)
[01:46:21 -171109.690657] SLOW spr round 26 (radius: 5)
[01:48:52 -171109.688512] SLOW spr round 27 (radius: 10)
[01:51:21 -171109.688272] SLOW spr round 28 (radius: 15)
[01:55:02 -171109.688250] SLOW spr round 29 (radius: 20)
[02:00:07 -171109.688248] SLOW spr round 30 (radius: 25)
[02:06:28 -171107.554983] SLOW spr round 31 (radius: 5)
[02:09:36 -171106.226190] SLOW spr round 32 (radius: 5)
[02:12:22 -171106.225948] SLOW spr round 33 (radius: 10)
[02:14:59 -171106.225879] SLOW spr round 34 (radius: 15)
[02:18:31 -171106.225878] SLOW spr round 35 (radius: 20)
[02:21:39] [worker #2] ML tree search #3, logLikelihood: -171131.535015
[02:23:38 -171106.225877] SLOW spr round 36 (radius: 25)
[02:29:57 -171102.462658] SLOW spr round 37 (radius: 5)
[02:33:04 -171102.462435] SLOW spr round 38 (radius: 10)
[02:36:06 -171098.918066] SLOW spr round 39 (radius: 5)
[02:38:58 -171098.918031] SLOW spr round 40 (radius: 10)
[02:41:39 -171098.918001] SLOW spr round 41 (radius: 15)
[02:45:11 -171098.918000] SLOW spr round 42 (radius: 20)
[02:50:27 -171098.918000] SLOW spr round 43 (radius: 25)
[02:56:52 -171098.917999] Model parameter optimization (eps = 0.100000)

[02:57:15] [worker #0] ML tree search #1, logLikelihood: -171097.391635

[02:57:15 -621702.541803] Initial branch length optimization
[02:57:22 -525187.817503] Model parameter optimization (eps = 10.000000)
[02:58:31 -523185.073460] AUTODETECT spr round 1 (radius: 5)
[03:01:09 -360216.891860] AUTODETECT spr round 2 (radius: 10)
[03:03:59 -267817.859105] AUTODETECT spr round 3 (radius: 15)
[03:07:00 -218214.898000] AUTODETECT spr round 4 (radius: 20)
[03:10:29 -198502.638662] AUTODETECT spr round 5 (radius: 25)
[03:14:32 -190207.870330] SPR radius for FAST iterations: 25 (autodetect)
[03:14:32 -190207.870330] Model parameter optimization (eps = 3.000000)
[03:14:56 -190014.166222] FAST spr round 1 (radius: 25)
[03:18:35 -172200.654272] FAST spr round 2 (radius: 25)
[03:21:29 -171316.774123] FAST spr round 3 (radius: 25)
[03:23:53 -171223.962439] FAST spr round 4 (radius: 25)
[03:26:07 -171194.689902] FAST spr round 5 (radius: 25)
[03:28:09 -171191.291981] FAST spr round 6 (radius: 25)
[03:30:21 -171169.933659] FAST spr round 7 (radius: 25)
[03:32:25 -171162.919297] FAST spr round 8 (radius: 25)
[03:34:20 -171159.579165] FAST spr round 9 (radius: 25)
[03:36:13 -171159.579087] Model parameter optimization (eps = 1.000000)
[03:36:32 -171153.074275] SLOW spr round 1 (radius: 5)
[03:39:08 -171104.398623] SLOW spr round 2 (radius: 5)
[03:41:42 -171097.725526] SLOW spr round 3 (radius: 5)
[03:44:10 -171097.633238] SLOW spr round 4 (radius: 10)
[03:46:33 -171088.404661] SLOW spr round 5 (radius: 5)
[03:48:18] [worker #1] ML tree search #5, logLikelihood: -171122.929867
[03:49:22 -171087.865333] SLOW spr round 6 (radius: 5)
[03:51:55 -171087.864945] SLOW spr round 7 (radius: 10)
[03:54:23 -171087.864944] SLOW spr round 8 (radius: 15)
[03:58:11 -171083.731033] SLOW spr round 9 (radius: 5)
[04:00:08] [worker #2] ML tree search #6, logLikelihood: -171107.660162
[04:01:07 -171083.464628] SLOW spr round 10 (radius: 5)
[04:03:43 -171083.464589] SLOW spr round 11 (radius: 10)
[04:06:13 -171083.464588] SLOW spr round 12 (radius: 15)
[04:09:59 -171083.464588] SLOW spr round 13 (radius: 20)
[04:15:23 -171083.464588] SLOW spr round 14 (radius: 25)
[04:21:49 -171083.464580] Model parameter optimization (eps = 0.100000)

[04:21:56] [worker #0] ML tree search #4, logLikelihood: -171083.433834

[04:21:56 -614163.341988] Initial branch length optimization
[04:22:05 -522625.269853] Model parameter optimization (eps = 10.000000)
[04:23:07 -520475.284553] AUTODETECT spr round 1 (radius: 5)
[04:25:37 -360581.997696] AUTODETECT spr round 2 (radius: 10)
[04:28:22 -262759.337458] AUTODETECT spr round 3 (radius: 15)
[04:31:25 -214622.198902] AUTODETECT spr round 4 (radius: 20)
[04:34:35 -201211.013411] AUTODETECT spr round 5 (radius: 25)
[04:38:01 -193658.463137] SPR radius for FAST iterations: 25 (autodetect)
[04:38:01 -193658.463137] Model parameter optimization (eps = 3.000000)
[04:38:22 -193557.077937] FAST spr round 1 (radius: 25)
[04:41:51 -172412.264001] FAST spr round 2 (radius: 25)
[04:44:41 -171347.309384] FAST spr round 3 (radius: 25)
[04:47:17 -171223.066690] FAST spr round 4 (radius: 25)
[04:49:39 -171185.713711] FAST spr round 5 (radius: 25)
[04:51:42 -171183.841936] FAST spr round 6 (radius: 25)
[04:53:41 -171181.405072] FAST spr round 7 (radius: 25)
[04:55:37 -171181.400639] Model parameter optimization (eps = 1.000000)
[04:55:59 -171173.730164] SLOW spr round 1 (radius: 5)
[04:58:38 -171129.327030] SLOW spr round 2 (radius: 5)
[05:01:18 -171113.392256] SLOW spr round 3 (radius: 5)
[05:03:51 -171112.241815] SLOW spr round 4 (radius: 5)
[05:03:56] [worker #1] ML tree search #8, logLikelihood: -171127.400801
[05:06:22 -171111.412691] SLOW spr round 5 (radius: 5)
[05:08:58 -171108.694128] SLOW spr round 6 (radius: 5)
[05:11:28 -171108.672417] SLOW spr round 7 (radius: 10)
[05:14:05 -171105.253470] SLOW spr round 8 (radius: 5)
[05:15:48] [worker #2] ML tree search #9, logLikelihood: -171092.375541
[05:17:07 -171102.545084] SLOW spr round 9 (radius: 5)
[05:19:49 -171102.544959] SLOW spr round 10 (radius: 10)
[05:22:31 -171097.579320] SLOW spr round 11 (radius: 5)
[05:25:30 -171095.566550] SLOW spr round 12 (radius: 5)
[05:28:12 -171095.566501] SLOW spr round 13 (radius: 10)
[05:30:49 -171095.566500] SLOW spr round 14 (radius: 15)
[05:34:42 -171095.566409] SLOW spr round 15 (radius: 20)
[05:40:23 -171095.566408] SLOW spr round 16 (radius: 25)
[05:47:08 -171095.566407] Model parameter optimization (eps = 0.100000)

[05:47:18] [worker #0] ML tree search #7, logLikelihood: -171095.477697

[05:47:18 -619458.562883] Initial branch length optimization
[05:47:26 -525005.484255] Model parameter optimization (eps = 10.000000)
[05:48:27 -523141.604269] AUTODETECT spr round 1 (radius: 5)
[05:51:08 -362805.311021] AUTODETECT spr round 2 (radius: 10)
[05:53:59 -264152.191490] AUTODETECT spr round 3 (radius: 15)
[05:57:08 -227957.379239] AUTODETECT spr round 4 (radius: 20)
[06:00:49 -203949.657716] AUTODETECT spr round 5 (radius: 25)
[06:04:37 -196492.553434] SPR radius for FAST iterations: 25 (autodetect)
[06:04:37 -196492.553434] Model parameter optimization (eps = 3.000000)
[06:04:53 -196446.799782] FAST spr round 1 (radius: 25)
[06:08:43 -172776.589733] FAST spr round 2 (radius: 25)
[06:11:38 -171618.866492] FAST spr round 3 (radius: 25)
[06:14:08 -171448.026201] FAST spr round 4 (radius: 25)
[06:16:22 -171409.814151] FAST spr round 5 (radius: 25)
[06:18:23 -171409.132579] FAST spr round 6 (radius: 25)
[06:20:19 -171409.132549] Model parameter optimization (eps = 1.000000)
[06:20:42 -171178.859390] SLOW spr round 1 (radius: 5)
[06:23:20 -171148.932076] SLOW spr round 2 (radius: 5)
[06:25:54 -171144.230495] SLOW spr round 3 (radius: 5)
[06:27:01] [worker #1] ML tree search #11, logLikelihood: -171058.766083
[06:28:25 -171132.546162] SLOW spr round 4 (radius: 5)
[06:30:53 -171132.545358] SLOW spr round 5 (radius: 10)
[06:33:30 -171119.464511] SLOW spr round 6 (radius: 5)
[06:36:33 -171107.965968] SLOW spr round 7 (radius: 5)
[06:38:59] [worker #2] ML tree search #12, logLikelihood: -171154.777883
[06:39:14 -171106.343010] SLOW spr round 8 (radius: 5)
[06:41:46 -171106.342996] SLOW spr round 9 (radius: 10)
[06:44:19 -171103.851940] SLOW spr round 10 (radius: 5)
[06:47:16 -171103.436669] SLOW spr round 11 (radius: 5)
[06:49:56 -171103.436643] SLOW spr round 12 (radius: 10)
[06:52:31 -171103.436642] SLOW spr round 13 (radius: 15)
[06:56:20 -171103.436630] SLOW spr round 14 (radius: 20)
[07:01:53 -171103.436629] SLOW spr round 15 (radius: 25)
[07:09:00 -171103.436627] Model parameter optimization (eps = 0.100000)

[07:09:06] [worker #0] ML tree search #10, logLikelihood: -171103.358655

[07:09:06 -620446.482634] Initial branch length optimization
[07:09:14 -523856.271660] Model parameter optimization (eps = 10.000000)
[07:09:56 -521849.056052] AUTODETECT spr round 1 (radius: 5)
[07:12:36 -357773.617978] AUTODETECT spr round 2 (radius: 10)
[07:15:29 -256351.540258] AUTODETECT spr round 3 (radius: 15)
[07:18:34 -218521.062012] AUTODETECT spr round 4 (radius: 20)
[07:22:23 -197186.093442] AUTODETECT spr round 5 (radius: 25)
[07:26:06 -192494.764653] SPR radius for FAST iterations: 25 (autodetect)
[07:26:06 -192494.764653] Model parameter optimization (eps = 3.000000)
[07:26:33 -192337.750595] FAST spr round 1 (radius: 25)
[07:30:21 -171876.753428] FAST spr round 2 (radius: 25)
[07:33:12 -171266.974693] FAST spr round 3 (radius: 25)
[07:35:37 -171211.562787] FAST spr round 4 (radius: 25)
[07:37:45 -171201.655722] FAST spr round 5 (radius: 25)
[07:39:45 -171200.252701] FAST spr round 6 (radius: 25)
[07:41:40 -171200.252383] Model parameter optimization (eps = 1.000000)
[07:42:02 -171194.359627] SLOW spr round 1 (radius: 5)
[07:43:09] [worker #1] ML tree search #14, logLikelihood: -171117.922700
[07:44:40 -171146.494228] SLOW spr round 2 (radius: 5)
[07:47:17 -171131.709643] SLOW spr round 3 (radius: 5)
[07:49:50 -171129.923145] SLOW spr round 4 (radius: 5)
[07:52:19 -171129.922980] SLOW spr round 5 (radius: 10)
[07:54:50 -171118.725896] SLOW spr round 6 (radius: 5)
[07:57:54 -171114.276030] SLOW spr round 7 (radius: 5)
[07:58:44] [worker #2] ML tree search #15, logLikelihood: -171107.105707
[08:00:36 -171114.233463] SLOW spr round 8 (radius: 10)
[08:03:11 -171114.233227] SLOW spr round 9 (radius: 15)
[08:07:03 -171114.233218] SLOW spr round 10 (radius: 20)
[08:12:36 -171114.233212] SLOW spr round 11 (radius: 25)
[08:19:35 -171114.233206] Model parameter optimization (eps = 0.100000)

[08:19:47] [worker #0] ML tree search #13, logLikelihood: -171114.078734

[08:19:48 -620667.191375] Initial branch length optimization
[08:19:56 -526281.165000] Model parameter optimization (eps = 10.000000)
[08:21:08 -523956.437579] AUTODETECT spr round 1 (radius: 5)
[08:23:45 -357913.125196] AUTODETECT spr round 2 (radius: 10)
[08:26:36 -255871.419653] AUTODETECT spr round 3 (radius: 15)
[08:29:37 -215196.850240] AUTODETECT spr round 4 (radius: 20)
[08:33:00 -192946.802076] AUTODETECT spr round 5 (radius: 25)
[08:36:52 -188275.389270] SPR radius for FAST iterations: 25 (autodetect)
[08:36:52 -188275.389270] Model parameter optimization (eps = 3.000000)
[08:37:17 -188171.346251] FAST spr round 1 (radius: 25)
[08:40:58 -172025.311092] FAST spr round 2 (radius: 25)
[08:43:50 -171329.815083] FAST spr round 3 (radius: 25)
[08:46:12 -171235.456261] FAST spr round 4 (radius: 25)
[08:48:23 -171226.477275] FAST spr round 5 (radius: 25)
[08:50:22 -171226.477079] Model parameter optimization (eps = 1.000000)
[08:50:35 -171224.565467] SLOW spr round 1 (radius: 5)
[08:53:13 -171161.078359] SLOW spr round 2 (radius: 5)
[08:55:47 -171149.880147] SLOW spr round 3 (radius: 5)
[08:58:20 -171147.457705] SLOW spr round 4 (radius: 5)
[09:00:48 -171147.457249] SLOW spr round 5 (radius: 10)
[09:03:22 -171141.278398] SLOW spr round 6 (radius: 5)
[09:06:19 -171140.986860] SLOW spr round 7 (radius: 5)
[09:08:58 -171140.986810] SLOW spr round 8 (radius: 10)
[09:11:35 -171140.986804] SLOW spr round 9 (radius: 15)
[09:15:32 -171137.407268] SLOW spr round 10 (radius: 5)
[09:18:36 -171137.405960] SLOW spr round 11 (radius: 10)
[09:19:29] [worker #1] ML tree search #17, logLikelihood: -171136.662402
[09:21:34 -171137.405946] SLOW spr round 12 (radius: 15)
[09:25:20 -171137.405941] SLOW spr round 13 (radius: 20)
[09:31:08 -171137.405937] SLOW spr round 14 (radius: 25)
[09:37:57 -171137.405936] Model parameter optimization (eps = 0.100000)

[09:38:04] [worker #0] ML tree search #16, logLikelihood: -171137.352111

[09:38:04 -617345.975874] Initial branch length optimization
[09:38:13 -525503.448657] Model parameter optimization (eps = 10.000000)
[09:39:44 -523348.478005] AUTODETECT spr round 1 (radius: 5)
[09:42:25 -355075.460364] AUTODETECT spr round 2 (radius: 10)
[09:45:17 -264059.573690] AUTODETECT spr round 3 (radius: 15)
[09:48:20 -222203.010328] AUTODETECT spr round 4 (radius: 20)
[09:52:15 -201996.480157] AUTODETECT spr round 5 (radius: 25)
[09:52:57] [worker #2] ML tree search #18, logLikelihood: -171192.547995
[09:56:19 -191626.698138] SPR radius for FAST iterations: 25 (autodetect)
[09:56:19 -191626.698138] Model parameter optimization (eps = 3.000000)
[09:56:42 -191517.418063] FAST spr round 1 (radius: 25)
[10:00:25 -172188.144426] FAST spr round 2 (radius: 25)
[10:03:26 -171325.017593] FAST spr round 3 (radius: 25)
[10:06:01 -171181.352387] FAST spr round 4 (radius: 25)
[10:08:24 -171142.651338] FAST spr round 5 (radius: 25)
[10:10:35 -171115.979990] FAST spr round 6 (radius: 25)
[10:12:39 -171114.058099] FAST spr round 7 (radius: 25)
[10:14:31 -171114.057757] Model parameter optimization (eps = 1.000000)
[10:14:50 -171108.462441] SLOW spr round 1 (radius: 5)
[10:17:26 -171071.205469] SLOW spr round 2 (radius: 5)
[10:20:02 -171064.558474] SLOW spr round 3 (radius: 5)
[10:22:29 -171064.546814] SLOW spr round 4 (radius: 10)
[10:24:58 -171062.799325] SLOW spr round 5 (radius: 5)
[10:27:56 -171062.055770] SLOW spr round 6 (radius: 5)
[10:30:36 -171062.055404] SLOW spr round 7 (radius: 10)
[10:33:10 -171062.055228] SLOW spr round 8 (radius: 15)
[10:37:06 -171061.596087] SLOW spr round 9 (radius: 5)
[10:40:08 -171061.595851] SLOW spr round 10 (radius: 10)
[10:43:02 -171061.595814] SLOW spr round 11 (radius: 15)
[10:43:40] [worker #1] ML tree search #20, logLikelihood: -171101.010123
[10:46:49 -171061.595799] SLOW spr round 12 (radius: 20)
[10:52:32 -171061.595789] SLOW spr round 13 (radius: 25)
[10:59:30 -171061.595779] Model parameter optimization (eps = 0.100000)

[10:59:38] [worker #0] ML tree search #19, logLikelihood: -171061.557942


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.104364,0.287809) (0.096642,0.754108) (0.420409,0.811807) (0.378585,1.468081) 
   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: -171058.766083

AIC score: 346127.532166 / AICc score: 8390187.532166 / BIC score: 354135.424827
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=401).
         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/Q13422/3_mltree/Q13422.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/3_mltree/Q13422.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/3_mltree/Q13422.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/3_mltree/Q13422.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q13422/3_mltree/Q13422.raxml.log

Analysis started: 06-Jul-2021 20:36:02 / finished: 07-Jul-2021 07:35:41

Elapsed time: 39578.571 seconds

Consumed energy: 3666.803 Wh (= 18 km in an electric car, or 92 km with an e-scooter!)