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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 30-Jun-2021 17:46:54 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/2_msa/Q68DA7_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/3_mltree/Q68DA7 --seed 2 --threads 4 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (4 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/2_msa/Q68DA7_trimmed_msa.fasta
[00:00:00] Loaded alignment with 350 taxa and 205 sites

WARNING: Sequences tr_B4QA38_B4QA38_DROSI_7240 and tr_B4I348_B4I348_DROSE_7238 are exactly identical!
WARNING: Sequences sp_Q9JL04_FMN2_MOUSE_10090 and tr_G3H6M7_G3H6M7_CRIGR_10029 are exactly identical!
WARNING: Sequences tr_M3Y9R0_M3Y9R0_MUSPF_9669 and tr_G1LEU5_G1LEU5_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3Y9R0_M3Y9R0_MUSPF_9669 and tr_A0A2Y9II36_A0A2Y9II36_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YW71_M3YW71_MUSPF_9669 and tr_A0A2U3X4J2_A0A2U3X4J2_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YW71_M3YW71_MUSPF_9669 and tr_A0A2U3YBS7_A0A2U3YBS7_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_G3QFD4_G3QFD4_GORGO_9595 and tr_H2N3A7_H2N3A7_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3QFD4_G3QFD4_GORGO_9595 and sp_Q9NZ56_FMN2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1SPA4_G1SPA4_RABIT_9986 and tr_A0A2J8JB39_A0A2J8JB39_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1SPA4_G1SPA4_RABIT_9986 and tr_F6QRG0_F6QRG0_HORSE_9796 are exactly identical!
WARNING: Sequences tr_G1SPA4_G1SPA4_RABIT_9986 and tr_A0A096NT76_A0A096NT76_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G1SPA4_G1SPA4_RABIT_9986 and tr_A0A2K5L0E4_A0A2K5L0E4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G1SPA4_G1SPA4_RABIT_9986 and tr_A0A2K5ZPH5_A0A2K5ZPH5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G1SPA4_G1SPA4_RABIT_9986 and tr_A0A2R9C8J6_A0A2R9C8J6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0R3NRZ6_A0A0R3NRZ6_DROPS_46245 and tr_B4G8I0_B4G8I0_DROPE_7234 are exactly identical!
WARNING: Sequences tr_A0A2I3S6W7_A0A2I3S6W7_PANTR_9598 and tr_A0A2K5ZYF2_A0A2K5ZYF2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_W5NYX9_W5NYX9_SHEEP_9940 and tr_E1BN28_E1BN28_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A158NYK4_A0A158NYK4_ATTCE_12957 and tr_A0A195AYP6_A0A195AYP6_9HYME_520822 are exactly identical!
WARNING: Sequences tr_F7GS93_F7GS93_MACMU_9544 and tr_G7PAN2_G7PAN2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GS93_F7GS93_MACMU_9544 and tr_A0A2K6BP29_A0A2K6BP29_MACNE_9545 are exactly identical!
WARNING: Sequences tr_H0ZNB2_H0ZNB2_TAEGU_59729 and tr_U3JSS5_U3JSS5_FICAL_59894 are exactly identical!
WARNING: Sequences tr_H0ZNB2_H0ZNB2_TAEGU_59729 and tr_A0A218V7U3_A0A218V7U3_9PASE_299123 are exactly identical!
WARNING: Sequences tr_U3KFG0_U3KFG0_FICAL_59894 and tr_A0A091EVJ4_A0A091EVJ4_CORBR_85066 are exactly identical!
WARNING: Sequences tr_A0A096NP60_A0A096NP60_PAPAN_9555 and tr_A0A2K5P6G9_A0A2K5P6G9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096NP60_A0A096NP60_PAPAN_9555 and tr_A0A2K6BB28_A0A2K6BB28_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A151MUZ5_A0A151MUZ5_ALLMI_8496 and tr_A0A3Q0G533_A0A3Q0G533_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091JIJ8_A0A091JIJ8_EGRGA_188379 and tr_A0A0A0AZX7_A0A0A0AZX7_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A2I0MUU6_A0A2I0MUU6_COLLI_8932 and tr_A0A1V4JKH3_A0A1V4JKH3_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3J0R8_A0A1S3J0R8_LINUN_7574 and tr_A0A1S3J1A1_A0A1S3J1A1_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3J0R8_A0A1S3J0R8_LINUN_7574 and tr_A0A1S3J1A8_A0A1S3J1A8_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1S3J0R8_A0A1S3J0R8_LINUN_7574 and tr_A0A1S3J2F6_A0A1S3J2F6_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A060WGV9_A0A060WGV9_ONCMY_8022 and tr_A0A060YSP4_A0A060YSP4_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A2D0Q2J7_A0A2D0Q2J7_ICTPU_7998 and tr_A0A2D0Q3H0_A0A2D0Q3H0_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0RP23_A0A2D0RP23_ICTPU_7998 and tr_A0A2D0RQ14_A0A2D0RQ14_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2U4BBP9_A0A2U4BBP9_TURTR_9739 and tr_A0A2Y9PKM1_A0A2Y9PKM1_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4BBP9_A0A2U4BBP9_TURTR_9739 and tr_A0A2Y9TJW1_A0A2Y9TJW1_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U4BVN1_A0A2U4BVN1_TURTR_9739 and tr_A0A2Y9PRR0_A0A2Y9PRR0_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4BVN1_A0A2U4BVN1_TURTR_9739 and tr_A0A2Y9TDK4_A0A2Y9TDK4_PHYCD_9755 are exactly identical!
WARNING: Duplicate sequences found: 38

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/Q68DA7/3_mltree/Q68DA7.raxml.reduced.phy

Alignment comprises 1 partitions and 205 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 205 / 205
Gaps: 11.11 %
Invariant sites: 0.49 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/3_mltree/Q68DA7.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 350 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 205 / 16400
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -94359.308286] Initial branch length optimization
[00:00:01 -73294.719765] Model parameter optimization (eps = 10.000000)
[00:00:17 -73115.579628] AUTODETECT spr round 1 (radius: 5)
[00:00:44 -53773.541926] AUTODETECT spr round 2 (radius: 10)
[00:01:20 -44612.748800] AUTODETECT spr round 3 (radius: 15)
[00:01:58 -42491.061168] AUTODETECT spr round 4 (radius: 20)
[00:02:47 -38837.840901] AUTODETECT spr round 5 (radius: 25)
[00:03:49 -38107.349161] SPR radius for FAST iterations: 25 (autodetect)
[00:03:49 -38107.349161] Model parameter optimization (eps = 3.000000)
[00:04:03 -38034.674846] FAST spr round 1 (radius: 25)
[00:04:49 -33251.610977] FAST spr round 2 (radius: 25)
[00:05:24 -33002.381860] FAST spr round 3 (radius: 25)
[00:05:54 -32985.066977] FAST spr round 4 (radius: 25)
[00:06:17 -32984.958330] FAST spr round 5 (radius: 25)
[00:06:40 -32984.957179] Model parameter optimization (eps = 1.000000)
[00:06:50 -32975.164944] SLOW spr round 1 (radius: 5)
[00:07:26 -32972.190481] SLOW spr round 2 (radius: 5)
[00:08:02 -32971.416610] SLOW spr round 3 (radius: 5)
[00:08:35 -32971.416133] SLOW spr round 4 (radius: 10)
[00:09:11 -32971.366824] SLOW spr round 5 (radius: 15)
[00:10:08 -32968.654495] SLOW spr round 6 (radius: 5)
[00:11:01 -32968.119806] SLOW spr round 7 (radius: 5)
[00:11:43 -32968.119645] SLOW spr round 8 (radius: 10)
[00:12:23 -32962.719213] SLOW spr round 9 (radius: 5)
[00:13:10 -32962.719147] SLOW spr round 10 (radius: 10)
[00:13:51 -32962.719093] SLOW spr round 11 (radius: 15)
[00:14:44 -32962.534608] SLOW spr round 12 (radius: 5)
[00:15:35 -32962.534474] SLOW spr round 13 (radius: 10)
[00:15:45] [worker #2] ML tree search #3, logLikelihood: -32950.619166
[00:16:20 -32962.534430] SLOW spr round 14 (radius: 15)
[00:17:12 -32962.534389] SLOW spr round 15 (radius: 20)
[00:17:15] [worker #3] ML tree search #4, logLikelihood: -32958.175784
[00:18:28 -32962.534351] SLOW spr round 16 (radius: 25)
[00:20:01 -32962.534314] Model parameter optimization (eps = 0.100000)
[00:20:04] [worker #1] ML tree search #2, logLikelihood: -32951.487895

[00:20:06] [worker #0] ML tree search #1, logLikelihood: -32962.372659

[00:20:06 -95269.557619] Initial branch length optimization
[00:20:07 -74192.453712] Model parameter optimization (eps = 10.000000)
[00:20:27 -74039.268382] AUTODETECT spr round 1 (radius: 5)
[00:20:55 -54868.993484] AUTODETECT spr round 2 (radius: 10)
[00:21:29 -44184.819484] AUTODETECT spr round 3 (radius: 15)
[00:22:07 -37440.787532] AUTODETECT spr round 4 (radius: 20)
[00:22:59 -37036.427724] AUTODETECT spr round 5 (radius: 25)
[00:23:56 -36945.358932] SPR radius for FAST iterations: 25 (autodetect)
[00:23:56 -36945.358932] Model parameter optimization (eps = 3.000000)
[00:24:12 -36847.293803] FAST spr round 1 (radius: 25)
[00:24:50 -33182.992091] FAST spr round 2 (radius: 25)
[00:25:20 -32974.613313] FAST spr round 3 (radius: 25)
[00:25:46 -32964.290794] FAST spr round 4 (radius: 25)
[00:26:11 -32962.838558] FAST spr round 5 (radius: 25)
[00:26:34 -32962.837357] Model parameter optimization (eps = 1.000000)
[00:26:42 -32959.682190] SLOW spr round 1 (radius: 5)
[00:27:17 -32956.371698] SLOW spr round 2 (radius: 5)
[00:27:50 -32956.371168] SLOW spr round 3 (radius: 10)
[00:28:26 -32956.371140] SLOW spr round 4 (radius: 15)
[00:29:24 -32956.371137] SLOW spr round 5 (radius: 20)
[00:30:45 -32956.371136] SLOW spr round 6 (radius: 25)
[00:31:52] [worker #2] ML tree search #7, logLikelihood: -32952.034131
[00:32:16 -32956.371135] Model parameter optimization (eps = 0.100000)

[00:32:19] [worker #0] ML tree search #5, logLikelihood: -32956.344285

[00:32:19 -94277.633218] Initial branch length optimization
[00:32:20 -73237.429939] Model parameter optimization (eps = 10.000000)
[00:32:39 -73099.974665] AUTODETECT spr round 1 (radius: 5)
[00:33:06 -55143.179022] AUTODETECT spr round 2 (radius: 10)
[00:33:41 -45305.414556] AUTODETECT spr round 3 (radius: 15)
[00:34:21 -39446.129902] AUTODETECT spr round 4 (radius: 20)
[00:35:06 -37457.272264] AUTODETECT spr round 5 (radius: 25)
[00:35:51] [worker #1] ML tree search #6, logLikelihood: -32964.855703
[00:35:58 -36988.773261] SPR radius for FAST iterations: 25 (autodetect)
[00:35:58 -36988.773261] Model parameter optimization (eps = 3.000000)
[00:36:13 -36929.422972] FAST spr round 1 (radius: 25)
[00:36:20] [worker #3] ML tree search #8, logLikelihood: -32953.028020
[00:36:59 -33195.807004] FAST spr round 2 (radius: 25)
[00:37:33 -32993.253047] FAST spr round 3 (radius: 25)
[00:38:02 -32976.174215] FAST spr round 4 (radius: 25)
[00:38:26 -32976.035887] FAST spr round 5 (radius: 25)
[00:38:49 -32976.035642] Model parameter optimization (eps = 1.000000)
[00:38:58 -32966.063735] SLOW spr round 1 (radius: 5)
[00:39:34 -32958.160166] SLOW spr round 2 (radius: 5)
[00:40:08 -32957.974334] SLOW spr round 3 (radius: 5)
[00:40:41 -32957.971472] SLOW spr round 4 (radius: 10)
[00:41:17 -32957.192489] SLOW spr round 5 (radius: 5)
[00:42:04 -32957.162913] SLOW spr round 6 (radius: 10)
[00:42:46 -32957.161123] SLOW spr round 7 (radius: 15)
[00:43:40 -32956.926341] SLOW spr round 8 (radius: 5)
[00:44:31 -32956.913013] SLOW spr round 9 (radius: 10)
[00:45:16 -32956.909158] SLOW spr round 10 (radius: 15)
[00:46:10 -32956.822249] SLOW spr round 11 (radius: 20)
[00:47:18] [worker #2] ML tree search #11, logLikelihood: -32962.346102
[00:47:27 -32956.820302] SLOW spr round 12 (radius: 25)
[00:49:01 -32956.818666] Model parameter optimization (eps = 0.100000)

[00:49:05] [worker #0] ML tree search #9, logLikelihood: -32956.731073

[00:49:05 -95346.497722] Initial branch length optimization
[00:49:06 -74053.737374] Model parameter optimization (eps = 10.000000)
[00:49:25 -73861.727410] AUTODETECT spr round 1 (radius: 5)
[00:49:52 -54037.548898] AUTODETECT spr round 2 (radius: 10)
[00:50:27 -45579.112092] AUTODETECT spr round 3 (radius: 15)
[00:51:11 -39428.098260] AUTODETECT spr round 4 (radius: 20)
[00:51:59 -36945.369184] AUTODETECT spr round 5 (radius: 25)
[00:52:56 -36273.451589] SPR radius for FAST iterations: 25 (autodetect)
[00:52:56 -36273.451589] Model parameter optimization (eps = 3.000000)
[00:53:09 -36192.480090] FAST spr round 1 (radius: 25)
[00:53:50 -33257.528288] FAST spr round 2 (radius: 25)
[00:54:02] [worker #3] ML tree search #12, logLikelihood: -32958.919581
[00:54:23 -32991.099576] FAST spr round 3 (radius: 25)
[00:54:50 -32980.045663] FAST spr round 4 (radius: 25)
[00:55:16 -32973.300534] FAST spr round 5 (radius: 25)
[00:55:40 -32971.196983] FAST spr round 6 (radius: 25)
[00:56:02 -32970.424969] FAST spr round 7 (radius: 25)
[00:56:24 -32970.424832] Model parameter optimization (eps = 1.000000)
[00:56:33 -32958.549621] SLOW spr round 1 (radius: 5)
[00:57:09 -32955.330363] SLOW spr round 2 (radius: 5)
[00:57:43 -32954.653698] SLOW spr round 3 (radius: 5)
[00:58:16 -32954.653556] SLOW spr round 4 (radius: 10)
[00:58:50 -32954.575013] SLOW spr round 5 (radius: 15)
[00:59:46 -32952.027687] SLOW spr round 6 (radius: 5)
[01:00:38 -32952.027302] SLOW spr round 7 (radius: 10)
[01:00:55] [worker #1] ML tree search #10, logLikelihood: -32957.869391
[01:01:22 -32952.027260] SLOW spr round 8 (radius: 15)
[01:02:15 -32952.021416] SLOW spr round 9 (radius: 20)
[01:03:35 -32952.021403] SLOW spr round 10 (radius: 25)
[01:04:48] [worker #2] ML tree search #15, logLikelihood: -32952.345214
[01:05:15 -32952.021393] Model parameter optimization (eps = 0.100000)

[01:05:17] [worker #0] ML tree search #13, logLikelihood: -32952.016113

[01:05:17 -94807.358174] Initial branch length optimization
[01:05:18 -74436.241168] Model parameter optimization (eps = 10.000000)
[01:05:46 -74223.784694] AUTODETECT spr round 1 (radius: 5)
[01:06:13 -55536.484691] AUTODETECT spr round 2 (radius: 10)
[01:06:48 -46423.106558] AUTODETECT spr round 3 (radius: 15)
[01:07:31 -40483.541434] AUTODETECT spr round 4 (radius: 20)
[01:08:26 -38266.437503] AUTODETECT spr round 5 (radius: 25)
[01:09:27 -38247.075374] SPR radius for FAST iterations: 25 (autodetect)
[01:09:27 -38247.075374] Model parameter optimization (eps = 3.000000)
[01:09:41 -38127.568694] FAST spr round 1 (radius: 25)
[01:10:22 -33488.171530] FAST spr round 2 (radius: 25)
[01:10:51 -33040.029968] FAST spr round 3 (radius: 25)
[01:11:20 -32969.869591] FAST spr round 4 (radius: 25)
[01:11:45 -32960.711504] FAST spr round 5 (radius: 25)
[01:12:07 -32954.595011] FAST spr round 6 (radius: 25)
[01:12:29 -32954.593908] Model parameter optimization (eps = 1.000000)
[01:12:37 -32952.616158] SLOW spr round 1 (radius: 5)
[01:13:11 -32948.434334] SLOW spr round 2 (radius: 5)
[01:13:44 -32948.433089] SLOW spr round 3 (radius: 10)
[01:14:20 -32948.432828] SLOW spr round 4 (radius: 15)
[01:15:20 -32948.432747] SLOW spr round 5 (radius: 20)
[01:16:41] [worker #3] ML tree search #16, logLikelihood: -32951.704029
[01:16:41 -32948.432721] SLOW spr round 6 (radius: 25)
[01:17:16] [worker #2] ML tree search #19, logLikelihood: -32952.127640
[01:18:20 -32948.432712] Model parameter optimization (eps = 0.100000)

[01:18:22] [worker #0] ML tree search #17, logLikelihood: -32948.399106

[01:25:34] [worker #1] ML tree search #14, logLikelihood: -32950.562668
[01:32:19] [worker #3] ML tree search #20, logLikelihood: -32953.941771
[01:40:40] [worker #1] ML tree search #18, logLikelihood: -32953.388051

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.204640,0.435881) (0.214073,0.570618) (0.384636,0.910486) (0.196651,2.229543) 
   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: -32948.399106

AIC score: 67302.798213 / AICc score: 1057126.798213 / BIC score: 69638.874228
Free parameters (model + branch lengths): 703

WARNING: Number of free parameters (K=703) is larger than alignment size (n=205).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/3_mltree/Q68DA7.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/3_mltree/Q68DA7.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/3_mltree/Q68DA7.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q68DA7/3_mltree/Q68DA7.raxml.log

Analysis started: 30-Jun-2021 17:46:54 / finished: 30-Jun-2021 19:27:35

Elapsed time: 6040.547 seconds

Consumed energy: 380.729 Wh (= 2 km in an electric car, or 10 km with an e-scooter!)