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 14-Jul-2021 10:51:43 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/2_msa/P51659_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/3_mltree/P51659 --seed 2 --threads 9 --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 (9 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/2_msa/P51659_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 863 sites

WARNING: Sequences tr_A0A0E1S1D3_A0A0E1S1D3_COCIM_246410 and tr_E9D6Q4_E9D6Q4_COCPS_443226 are exactly identical!
WARNING: Sequences tr_A0A0E1S1D3_A0A0E1S1D3_COCIM_246410 and tr_A0A0J6YH31_A0A0J6YH31_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B6QE43_B6QE43_TALMQ_441960 and tr_A0A093VGR4_A0A093VGR4_TALMA_1077442 are exactly identical!
WARNING: Sequences tr_B2WMT9_B2WMT9_PYRTR_426418 and tr_A0A2W1HVM7_A0A2W1HVM7_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_Q29GJ5_Q29GJ5_DROPS_46245 and tr_B4H113_B4H113_DROPE_7234 are exactly identical!
WARNING: Sequences tr_F9G3E8_F9G3E8_FUSOF_660025 and tr_A0A0D2XQU8_A0A0D2XQU8_FUSO4_426428 are exactly identical!
WARNING: Sequences tr_F9G3E8_F9G3E8_FUSOF_660025 and tr_N4UEY5_N4UEY5_FUSC1_1229664 are exactly identical!
WARNING: Sequences tr_F9G3E8_F9G3E8_FUSOF_660025 and tr_X0DIE1_X0DIE1_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_F9G3E8_F9G3E8_FUSOF_660025 and tr_A0A2H3T9G8_A0A2H3T9G8_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_F9G3E8_F9G3E8_FUSOF_660025 and tr_A0A2H3I0X4_A0A2H3I0X4_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_Q2U0S3_Q2U0S3_ASPOR_510516 and tr_E3WCP7_E3WCP7_ASPOZ_5062 are exactly identical!
WARNING: Sequences tr_A2R2J8_A2R2J8_ASPNC_425011 and tr_A0A319B840_A0A319B840_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_G7XJF2_G7XJF2_ASPKW_1033177 and tr_A0A146FH22_A0A146FH22_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_B8AZU6_B8AZU6_ORYSI_39946 and tr_I1QQX3_I1QQX3_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_B8AZU6_B8AZU6_ORYSI_39946 and tr_A0A0E0QUK8_A0A0E0QUK8_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_F9XBV7_F9XBV7_ZYMTI_336722 and tr_A0A1X7RW18_A0A1X7RW18_ZYMTR_1276538 are exactly identical!
WARNING: Sequences tr_G2YMV6_G2YMV6_BOTF4_999810 and tr_M7UPN3_M7UPN3_BOTF1_1290391 are exactly identical!
WARNING: Sequences tr_F2ST18_F2ST18_TRIRC_559305 and tr_A0A178EVM5_A0A178EVM5_TRIRU_5551 are exactly identical!
WARNING: Sequences tr_W2PME9_W2PME9_PHYPN_761204 and tr_A0A0W8CDT6_A0A0W8CDT6_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2PME9_W2PME9_PHYPN_761204 and tr_W2K9B1_W2K9B1_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_W2QWH0_W2QWH0_PHYPN_761204 and tr_A0A0W8CP88_A0A0W8CP88_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_A0A094E3D6_A0A094E3D6_9PEZI_1420912 and tr_A0A1B8GGG3_A0A1B8GGG3_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A1S3Z0P1_A0A1S3Z0P1_TOBAC_4097 and tr_A0A1U7W684_A0A1U7W684_NICSY_4096 are exactly identical!
WARNING: Duplicate sequences found: 23

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/P51659/3_mltree/P51659.raxml.reduced.phy

Alignment comprises 1 partitions and 863 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 863 / 863
Gaps: 22.08 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/3_mltree/P51659.raxml.rba

Parallelization scheme autoconfig: 3 worker(s) x 3 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 / 288 / 23040
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -980711.720493] Initial branch length optimization
[00:00:07 -838528.183542] Model parameter optimization (eps = 10.000000)
[00:01:10 -834326.244991] AUTODETECT spr round 1 (radius: 5)
[00:05:02 -662289.252800] AUTODETECT spr round 2 (radius: 10)
[00:09:25 -508696.347431] AUTODETECT spr round 3 (radius: 15)
[00:14:40 -439378.469589] AUTODETECT spr round 4 (radius: 20)
[00:21:36 -399893.453123] AUTODETECT spr round 5 (radius: 25)
[00:29:41 -397928.609312] SPR radius for FAST iterations: 25 (autodetect)
[00:29:41 -397928.609312] Model parameter optimization (eps = 3.000000)
[00:30:10 -397642.235760] FAST spr round 1 (radius: 25)
[00:35:54 -352502.235939] FAST spr round 2 (radius: 25)
[00:39:58 -351125.738918] FAST spr round 3 (radius: 25)
[00:43:13 -351065.801183] FAST spr round 4 (radius: 25)
[00:46:03 -351039.886516] FAST spr round 5 (radius: 25)
[00:48:40 -351039.886304] Model parameter optimization (eps = 1.000000)
[00:48:58 -351037.126863] SLOW spr round 1 (radius: 5)
[00:52:52 -350949.513306] SLOW spr round 2 (radius: 5)
[00:56:25 -350948.839310] SLOW spr round 3 (radius: 5)
[00:59:54 -350939.417792] SLOW spr round 4 (radius: 5)
[01:03:18 -350939.417696] SLOW spr round 5 (radius: 10)
[01:06:58 -350938.780099] SLOW spr round 6 (radius: 5)
[01:11:28 -350935.164279] SLOW spr round 7 (radius: 5)
[01:15:21 -350935.164015] SLOW spr round 8 (radius: 10)
[01:19:09 -350935.163928] SLOW spr round 9 (radius: 15)
[01:25:54 -350935.163848] SLOW spr round 10 (radius: 20)
[01:36:44 -350935.163768] SLOW spr round 11 (radius: 25)
[01:52:37] [worker #2] ML tree search #3, logLikelihood: -350912.681131
[01:53:18 -350935.163689] Model parameter optimization (eps = 0.100000)

[01:53:30] [worker #0] ML tree search #1, logLikelihood: -350935.063042

[01:53:30 -982667.913425] Initial branch length optimization
[01:53:37 -841447.462905] Model parameter optimization (eps = 10.000000)
[01:54:44 -837234.952062] AUTODETECT spr round 1 (radius: 5)
[01:57:56] [worker #1] ML tree search #2, logLikelihood: -350902.843017
[01:58:34 -668132.087216] AUTODETECT spr round 2 (radius: 10)
[02:02:58 -501603.208159] AUTODETECT spr round 3 (radius: 15)
[02:07:37 -430810.670061] AUTODETECT spr round 4 (radius: 20)
[02:13:00 -405689.185209] AUTODETECT spr round 5 (radius: 25)
[02:19:16 -400509.655443] SPR radius for FAST iterations: 25 (autodetect)
[02:19:16 -400509.655443] Model parameter optimization (eps = 3.000000)
[02:19:59 -400223.254386] FAST spr round 1 (radius: 25)
[02:25:42 -353409.067078] FAST spr round 2 (radius: 25)
[02:29:51 -351190.514682] FAST spr round 3 (radius: 25)
[02:33:24 -351054.254150] FAST spr round 4 (radius: 25)
[02:36:08 -351049.372664] FAST spr round 5 (radius: 25)
[02:38:43 -351047.779089] FAST spr round 6 (radius: 25)
[02:41:16 -351047.777861] Model parameter optimization (eps = 1.000000)
[02:41:35 -351043.621260] SLOW spr round 1 (radius: 5)
[02:45:30 -350931.703181] SLOW spr round 2 (radius: 5)
[02:49:15 -350918.680623] SLOW spr round 3 (radius: 5)
[02:52:48 -350913.844560] SLOW spr round 4 (radius: 5)
[02:56:18 -350911.993800] SLOW spr round 5 (radius: 5)
[02:59:44 -350911.993126] SLOW spr round 6 (radius: 10)
[03:03:24 -350911.735183] SLOW spr round 7 (radius: 5)
[03:07:57 -350909.315404] SLOW spr round 8 (radius: 5)
[03:11:50 -350909.315091] SLOW spr round 9 (radius: 10)
[03:15:39 -350908.899492] SLOW spr round 10 (radius: 5)
[03:20:05 -350908.899235] SLOW spr round 11 (radius: 10)
[03:24:11 -350908.899179] SLOW spr round 12 (radius: 15)
[03:30:24 -350906.061863] SLOW spr round 13 (radius: 5)
[03:35:07 -350906.060683] SLOW spr round 14 (radius: 10)
[03:37:19] [worker #1] ML tree search #5, logLikelihood: -350904.787296
[03:39:27 -350906.060594] SLOW spr round 15 (radius: 15)
[03:43:19] [worker #2] ML tree search #6, logLikelihood: -350915.531275
[03:45:32 -350906.060583] SLOW spr round 16 (radius: 20)
[03:55:46 -350906.060578] SLOW spr round 17 (radius: 25)
[04:10:03 -350906.060573] Model parameter optimization (eps = 0.100000)

[04:10:21] [worker #0] ML tree search #4, logLikelihood: -350905.489087

[04:10:21 -977481.807888] Initial branch length optimization
[04:10:28 -837726.483569] Model parameter optimization (eps = 10.000000)
[04:11:27 -833569.791862] AUTODETECT spr round 1 (radius: 5)
[04:15:15 -665209.091183] AUTODETECT spr round 2 (radius: 10)
[04:19:34 -512373.470245] AUTODETECT spr round 3 (radius: 15)
[04:24:29 -442412.170941] AUTODETECT spr round 4 (radius: 20)
[04:30:31 -405726.112372] AUTODETECT spr round 5 (radius: 25)
[04:37:45 -400739.843822] SPR radius for FAST iterations: 25 (autodetect)
[04:37:45 -400739.843822] Model parameter optimization (eps = 3.000000)
[04:38:14 -400511.033820] FAST spr round 1 (radius: 25)
[04:44:05 -352618.437510] FAST spr round 2 (radius: 25)
[04:48:09 -351264.339640] FAST spr round 3 (radius: 25)
[04:51:37 -351107.826356] FAST spr round 4 (radius: 25)
[04:54:35 -351070.314992] FAST spr round 5 (radius: 25)
[04:57:10 -351066.312585] FAST spr round 6 (radius: 25)
[04:59:43 -351056.987268] FAST spr round 7 (radius: 25)
[05:02:13 -351054.524942] FAST spr round 8 (radius: 25)
[05:04:41 -351054.524755] Model parameter optimization (eps = 1.000000)
[05:05:01 -351049.865339] SLOW spr round 1 (radius: 5)
[05:08:56 -350954.586876] SLOW spr round 2 (radius: 5)
[05:12:39 -350915.815531] SLOW spr round 3 (radius: 5)
[05:16:04 -350914.228547] SLOW spr round 4 (radius: 5)
[05:16:52] [worker #2] ML tree search #9, logLikelihood: -350916.720000
[05:18:15] [worker #1] ML tree search #8, logLikelihood: -350887.782477
[05:19:30 -350914.228543] SLOW spr round 5 (radius: 10)
[05:23:14 -350912.621178] SLOW spr round 6 (radius: 5)
[05:27:43 -350912.621018] SLOW spr round 7 (radius: 10)
[05:31:52 -350912.621008] SLOW spr round 8 (radius: 15)
[05:38:24 -350912.621008] SLOW spr round 9 (radius: 20)
[05:49:29 -350912.621008] SLOW spr round 10 (radius: 25)
[06:05:19 -350912.122613] SLOW spr round 11 (radius: 5)
[06:10:22 -350899.985022] SLOW spr round 12 (radius: 5)
[06:14:30 -350898.649384] SLOW spr round 13 (radius: 5)
[06:18:12 -350898.648893] SLOW spr round 14 (radius: 10)
[06:22:00 -350898.648854] SLOW spr round 15 (radius: 15)
[06:28:56 -350898.648846] SLOW spr round 16 (radius: 20)
[06:39:49 -350898.648843] SLOW spr round 17 (radius: 25)
[06:55:48 -350898.648843] Model parameter optimization (eps = 0.100000)

[06:56:00] [worker #0] ML tree search #7, logLikelihood: -350898.463139

[06:56:00 -983692.220143] Initial branch length optimization
[06:56:08 -839922.465317] Model parameter optimization (eps = 10.000000)
[06:56:58] [worker #2] ML tree search #12, logLikelihood: -350909.963009
[06:57:04 -835701.838394] AUTODETECT spr round 1 (radius: 5)
[07:00:58 -660255.267824] AUTODETECT spr round 2 (radius: 10)
[07:05:18 -511642.283168] AUTODETECT spr round 3 (radius: 15)
[07:10:03 -446981.360484] AUTODETECT spr round 4 (radius: 20)
[07:15:00] [worker #1] ML tree search #11, logLikelihood: -350900.528289
[07:15:44 -418946.474751] AUTODETECT spr round 5 (radius: 25)
[07:22:37 -405047.445350] SPR radius for FAST iterations: 25 (autodetect)
[07:22:37 -405047.445350] Model parameter optimization (eps = 3.000000)
[07:23:09 -404687.289056] FAST spr round 1 (radius: 25)
[07:28:50 -352861.479768] FAST spr round 2 (radius: 25)
[07:32:48 -351134.022333] FAST spr round 3 (radius: 25)
[07:36:15 -351057.044609] FAST spr round 4 (radius: 25)
[07:39:16 -351040.520582] FAST spr round 5 (radius: 25)
[07:41:54 -351034.464872] FAST spr round 6 (radius: 25)
[07:44:27 -351028.084256] FAST spr round 7 (radius: 25)
[07:46:58 -351028.083972] Model parameter optimization (eps = 1.000000)
[07:47:19 -351018.490709] SLOW spr round 1 (radius: 5)
[07:51:16 -350914.186754] SLOW spr round 2 (radius: 5)
[07:55:01 -350904.969963] SLOW spr round 3 (radius: 5)
[07:58:33 -350902.006372] SLOW spr round 4 (radius: 5)
[08:02:02 -350901.669625] SLOW spr round 5 (radius: 5)
[08:05:28 -350901.669313] SLOW spr round 6 (radius: 10)
[08:09:08 -350901.669117] SLOW spr round 7 (radius: 15)
[08:15:45 -350899.773271] SLOW spr round 8 (radius: 5)
[08:20:28 -350899.772662] SLOW spr round 9 (radius: 10)
[08:24:48 -350899.772473] SLOW spr round 10 (radius: 15)
[08:30:55 -350899.772294] SLOW spr round 11 (radius: 20)
[08:40:51 -350898.714338] SLOW spr round 12 (radius: 5)
[08:45:40 -350897.304427] SLOW spr round 13 (radius: 5)
[08:47:21] [worker #2] ML tree search #15, logLikelihood: -350911.369728
[08:49:47 -350897.302897] SLOW spr round 14 (radius: 10)
[08:53:40 -350897.302823] SLOW spr round 15 (radius: 15)
[08:59:58 -350897.302816] SLOW spr round 16 (radius: 20)
[09:09:46 -350897.302815] SLOW spr round 17 (radius: 25)
[09:23:50 -350897.302815] Model parameter optimization (eps = 0.100000)

[09:23:58] [worker #0] ML tree search #10, logLikelihood: -350897.267525

[09:23:58 -981673.902299] Initial branch length optimization
[09:24:05 -838315.213360] Model parameter optimization (eps = 10.000000)
[09:25:09 -834103.381172] AUTODETECT spr round 1 (radius: 5)
[09:29:06 -657372.806643] AUTODETECT spr round 2 (radius: 10)
[09:33:32 -489496.101573] AUTODETECT spr round 3 (radius: 15)
[09:38:12 -417530.689470] AUTODETECT spr round 4 (radius: 20)
[09:43:40 -395256.754819] AUTODETECT spr round 5 (radius: 25)
[09:50:02 -392556.483893] SPR radius for FAST iterations: 25 (autodetect)
[09:50:02 -392556.483893] Model parameter optimization (eps = 3.000000)
[09:50:31 -392271.898121] FAST spr round 1 (radius: 25)
[09:55:49 -352598.975272] FAST spr round 2 (radius: 25)
[09:59:47 -351181.058025] FAST spr round 3 (radius: 25)
[10:00:58] [worker #1] ML tree search #14, logLikelihood: -350906.825581
[10:03:12 -351076.988184] FAST spr round 4 (radius: 25)
[10:05:59 -351067.828987] FAST spr round 5 (radius: 25)
[10:08:34 -351067.828610] Model parameter optimization (eps = 1.000000)
[10:08:54 -351060.966668] SLOW spr round 1 (radius: 5)
[10:12:53 -350942.122198] SLOW spr round 2 (radius: 5)
[10:16:36 -350912.132509] SLOW spr round 3 (radius: 5)
[10:18:55] [worker #2] ML tree search #18, logLikelihood: -350927.194302
[10:20:03 -350912.132432] SLOW spr round 4 (radius: 10)
[10:23:41 -350912.132356] SLOW spr round 5 (radius: 15)
[10:30:14 -350912.132282] SLOW spr round 6 (radius: 20)
[10:39:46 -350912.132209] SLOW spr round 7 (radius: 25)
[10:53:16 -350912.132136] Model parameter optimization (eps = 0.100000)

[10:53:34] [worker #0] ML tree search #13, logLikelihood: -350910.945445

[10:53:34 -981440.439525] Initial branch length optimization
[10:53:40 -839105.738492] Model parameter optimization (eps = 10.000000)
[10:54:52 -835000.229124] AUTODETECT spr round 1 (radius: 5)
[10:58:40 -657795.967143] AUTODETECT spr round 2 (radius: 10)
[11:02:51 -498812.978817] AUTODETECT spr round 3 (radius: 15)
[11:07:37 -435165.391209] AUTODETECT spr round 4 (radius: 20)
[11:13:27 -410825.751192] AUTODETECT spr round 5 (radius: 25)
[11:19:54 -400954.516756] SPR radius for FAST iterations: 25 (autodetect)
[11:19:54 -400954.516756] Model parameter optimization (eps = 3.000000)
[11:20:21 -400602.352582] FAST spr round 1 (radius: 25)
[11:26:10 -353026.656184] FAST spr round 2 (radius: 25)
[11:30:06 -351264.889261] FAST spr round 3 (radius: 25)
[11:33:20 -351072.110781] FAST spr round 4 (radius: 25)
[11:36:07 -351047.606107] FAST spr round 5 (radius: 25)
[11:38:43 -351038.006792] FAST spr round 6 (radius: 25)
[11:41:13 -351032.279162] FAST spr round 7 (radius: 25)
[11:43:43 -351029.976336] FAST spr round 8 (radius: 25)
[11:46:10 -351029.976279] Model parameter optimization (eps = 1.000000)
[11:46:25 -351029.319049] SLOW spr round 1 (radius: 5)
[11:49:29] [worker #1] ML tree search #17, logLikelihood: -350927.299614
[11:50:21 -350951.380942] SLOW spr round 2 (radius: 5)
[11:53:52 -350943.003737] SLOW spr round 3 (radius: 5)
[11:57:18 -350939.241022] SLOW spr round 4 (radius: 5)
[12:00:41 -350939.240943] SLOW spr round 5 (radius: 10)
[12:04:19 -350939.037894] SLOW spr round 6 (radius: 5)
[12:08:47 -350939.037520] SLOW spr round 7 (radius: 10)
[12:12:53 -350939.037453] SLOW spr round 8 (radius: 15)
[12:18:53 -350939.037416] SLOW spr round 9 (radius: 20)
[12:28:36 -350939.037384] SLOW spr round 10 (radius: 25)
[12:42:13 -350939.037352] Model parameter optimization (eps = 0.100000)

[12:42:25] [worker #0] ML tree search #16, logLikelihood: -350938.894325

[12:42:25 -979929.663782] Initial branch length optimization
[12:42:32 -836816.058675] Model parameter optimization (eps = 10.000000)
[12:43:41 -832720.043080] AUTODETECT spr round 1 (radius: 5)
[12:47:29 -665945.110974] AUTODETECT spr round 2 (radius: 10)
[12:51:42 -513058.838643] AUTODETECT spr round 3 (radius: 15)
[12:56:43 -423998.256053] AUTODETECT spr round 4 (radius: 20)
[13:02:58 -400005.694377] AUTODETECT spr round 5 (radius: 25)
[13:10:37 -394110.787282] SPR radius for FAST iterations: 25 (autodetect)
[13:10:37 -394110.787282] Model parameter optimization (eps = 3.000000)
[13:11:05 -393835.857857] FAST spr round 1 (radius: 25)
[13:16:44 -352375.624292] FAST spr round 2 (radius: 25)
[13:20:48 -351251.874037] FAST spr round 3 (radius: 25)
[13:24:21 -351086.907867] FAST spr round 4 (radius: 25)
[13:27:28 -351026.615128] FAST spr round 5 (radius: 25)
[13:30:10 -351013.943609] FAST spr round 6 (radius: 25)
[13:32:40 -351013.943524] Model parameter optimization (eps = 1.000000)
[13:32:55 -351012.619067] SLOW spr round 1 (radius: 5)
[13:36:55 -350925.904859] SLOW spr round 2 (radius: 5)
[13:40:34 -350909.554188] SLOW spr round 3 (radius: 5)
[13:44:09 -350899.805952] SLOW spr round 4 (radius: 5)
[13:47:35 -350899.201932] SLOW spr round 5 (radius: 5)
[13:50:59 -350899.201720] SLOW spr round 6 (radius: 10)
[13:54:36 -350899.201677] SLOW spr round 7 (radius: 15)
[14:01:36 -350899.201646] SLOW spr round 8 (radius: 20)
[14:01:46] [worker #1] ML tree search #20, logLikelihood: -350926.880499
[14:12:08 -350899.201617] SLOW spr round 9 (radius: 25)
[14:28:20 -350899.201588] Model parameter optimization (eps = 0.100000)

[14:28:27] [worker #0] ML tree search #19, logLikelihood: -350899.142991


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.239000,0.471591) (0.283959,0.604402) (0.289545,1.055933) (0.187495,2.186315) 
   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: -350887.782477

AIC score: 705785.564953 / AICc score: 8749845.564953 / BIC score: 715330.196409
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=863).
         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/P51659/3_mltree/P51659.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/3_mltree/P51659.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/3_mltree/P51659.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P51659/3_mltree/P51659.raxml.log

Analysis started: 14-Jul-2021 10:51:43 / finished: 15-Jul-2021 01:20:11

Elapsed time: 52108.031 seconds

Consumed energy: 4776.243 Wh (= 24 km in an electric car, or 119 km with an e-scooter!)