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 03-Jul-2021 01:21:25 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P52788/2_msa/P52788_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P52788/3_mltree/P52788 --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/P52788/2_msa/P52788_trimmed_msa.fasta
[00:00:00] Loaded alignment with 423 taxa and 208 sites

WARNING: Sequences tr_B4QR84_B4QR84_DROSI_7240 and tr_X2JGL7_X2JGL7_DROME_7227 are exactly identical!
WARNING: Sequences tr_F1NBG8_F1NBG8_CHICK_9031 and tr_G1NP87_G1NP87_MELGA_9103 are exactly identical!
WARNING: Sequences tr_M3YYC1_M3YYC1_MUSPF_9669 and tr_A0A2U3WPU1_A0A2U3WPU1_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YYC1_M3YYC1_MUSPF_9669 and tr_A0A2Y9KGH5_A0A2Y9KGH5_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_A0A1B6QAK5_A0A1B6QAK5_SORBI_4558 and tr_A0A0E0HZF6_A0A0E0HZF6_ORYNI_4536 are exactly identical!
WARNING: Sequences tr_A0A1B6QAK5_A0A1B6QAK5_SORBI_4558 and tr_I1QA18_I1QA18_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A1B6QAK5_A0A1B6QAK5_SORBI_4558 and tr_A0A0E0Q734_A0A0E0Q734_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A1B6QAK5_A0A1B6QAK5_SORBI_4558 and sp_Q9SMB1_SPD1_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_G1RG03_G1RG03_NOMLE_61853 and tr_G3QKT7_G3QKT7_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1RG03_G1RG03_NOMLE_61853 and tr_H2PV40_H2PV40_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1RG03_G1RG03_NOMLE_61853 and sp_P52788_SPSY_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1RG03_G1RG03_NOMLE_61853 and tr_K7GLP9_K7GLP9_PIG_9823 are exactly identical!
WARNING: Sequences tr_G1RG03_G1RG03_NOMLE_61853 and tr_A0A2Y9S4F0_A0A2Y9S4F0_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2I3RIQ7_A0A2I3RIQ7_PANTR_9598 and tr_A0A2R9B6W6_A0A2R9B6W6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3S6X0_A0A2I3S6X0_PANTR_9598 and tr_A0A2R9C640_A0A2R9C640_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A158NEB1_A0A158NEB1_ATTCE_12957 and tr_A0A195CB15_A0A195CB15_9HYME_456900 are exactly identical!
WARNING: Sequences sp_Q9ZUB3_SPD1_ARATH_3702 and tr_D7KNJ4_D7KNJ4_ARALL_81972 are exactly identical!
WARNING: Sequences tr_A0A0E0G4G4_A0A0E0G4G4_ORYNI_4536 and tr_B8AF89_B8AF89_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0G4G4_A0A0E0G4G4_ORYNI_4536 and tr_I1NZ32_I1NZ32_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0G4G4_A0A0E0G4G4_ORYNI_4536 and tr_A0A0E0NCJ2_A0A0E0NCJ2_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0G4G4_A0A0E0G4G4_ORYNI_4536 and tr_A0A0D3F371_A0A0D3F371_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0G4G4_A0A0E0G4G4_ORYNI_4536 and tr_A0A0D9YQ05_A0A0D9YQ05_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_F4WJA7_F4WJA7_ACREC_103372 and tr_A0A151WSE4_A0A151WSE4_9HYME_64791 are exactly identical!
WARNING: Sequences tr_F4WJA7_F4WJA7_ACREC_103372 and tr_A0A195BVE0_A0A195BVE0_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A1X7TGB3_A0A1X7TGB3_AMPQE_400682 and tr_A0A1X7UTK6_A0A1X7UTK6_AMPQE_400682 are exactly identical!
WARNING: Sequences tr_G7Q2D0_G7Q2D0_MACFA_9541 and tr_A0A096N445_A0A096N445_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7Q2D0_G7Q2D0_MACFA_9541 and tr_A0A2K5LXE3_A0A2K5LXE3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G7Q2D0_G7Q2D0_MACFA_9541 and tr_A0A2K6BP27_A0A2K6BP27_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7Q2D0_G7Q2D0_MACFA_9541 and tr_A0A2K6A0W4_A0A2K6A0W4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F1ME02_F1ME02_BOVIN_9913 and sp_Q3SZA5_SPSY_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_M0Y8M7_M0Y8M7_HORVV_112509 and tr_A0A3B6TR55_A0A3B6TR55_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_M4E765_M4E765_BRARP_51351 and tr_A0A078I9M1_A0A078I9M1_BRANA_3708 are exactly identical!
WARNING: Sequences tr_M4E765_M4E765_BRARP_51351 and tr_A0A078J7F1_A0A078J7F1_BRANA_3708 are exactly identical!
WARNING: Sequences tr_M7Z5V1_M7Z5V1_TRIUA_4572 and tr_A0A3B6KFK7_A0A3B6KFK7_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A078FMB5_A0A078FMB5_BRANA_3708 and tr_A0A0D2ZUE7_A0A0D2ZUE7_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A0D9RPM4_A0A0D9RPM4_CHLSB_60711 and tr_A0A2Y9M392_A0A2Y9M392_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A0D9RPM4_A0A0D9RPM4_CHLSB_60711 and tr_A0A383ZI20_A0A383ZI20_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A0A0KVN4_A0A0A0KVN4_CUCSA_3659 and tr_A0A1S3BFD3_A0A1S3BFD3_CUCME_3656 are exactly identical!
WARNING: Sequences tr_A0A091JHA1_A0A091JHA1_EGRGA_188379 and tr_A0A087QXH0_A0A087QXH0_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A091JHA1_A0A091JHA1_EGRGA_188379 and tr_A0A0A0B0N4_A0A0A0B0N4_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A1C3YJ36_A0A1C3YJ36_GIBZE_229533 and tr_A0A2T4GIJ4_A0A2T4GIJ4_FUSCU_5516 are exactly identical!
WARNING: Sequences tr_A0A1S3YWC2_A0A1S3YWC2_TOBAC_4097 and tr_A0A1U7X8L8_A0A1U7X8L8_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3L1C7_A0A1S3L1C7_SALSA_8030 and tr_B5X2T1_B5X2T1_SALSA_8030 are exactly identical!
WARNING: Sequences tr_A0A2U3WQ91_A0A2U3WQ91_ODORO_9708 and tr_A0A2U3XCF6_A0A2U3XCF6_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2U3WQ91_A0A2U3WQ91_ODORO_9708 and tr_A0A2Y9JRH2_A0A2Y9JRH2_ENHLU_391180 are exactly identical!
WARNING: Duplicate sequences found: 45

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/P52788/3_mltree/P52788.raxml.reduced.phy

Alignment comprises 1 partitions and 208 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 208 / 208
Gaps: 7.09 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P52788/3_mltree/P52788.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 423 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 208 / 16640
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -143906.892780] Initial branch length optimization
[00:00:01 -113166.097083] Model parameter optimization (eps = 10.000000)
[00:00:18 -112594.118898] AUTODETECT spr round 1 (radius: 5)
[00:00:50 -73093.451073] AUTODETECT spr round 2 (radius: 10)
[00:01:28 -60975.053624] AUTODETECT spr round 3 (radius: 15)
[00:02:13 -52769.539887] AUTODETECT spr round 4 (radius: 20)
[00:03:05 -45988.513621] AUTODETECT spr round 5 (radius: 25)
[00:03:52 -45788.617236] SPR radius for FAST iterations: 25 (autodetect)
[00:03:52 -45788.617236] Model parameter optimization (eps = 3.000000)
[00:04:02 -45644.221187] FAST spr round 1 (radius: 25)
[00:04:49 -40156.101099] FAST spr round 2 (radius: 25)
[00:05:25 -39901.149212] FAST spr round 3 (radius: 25)
[00:05:58 -39861.634309] FAST spr round 4 (radius: 25)
[00:06:26 -39854.204941] FAST spr round 5 (radius: 25)
[00:06:53 -39853.769834] FAST spr round 6 (radius: 25)
[00:07:19 -39853.767990] Model parameter optimization (eps = 1.000000)
[00:07:28 -39844.582352] SLOW spr round 1 (radius: 5)
[00:08:10 -39827.980004] SLOW spr round 2 (radius: 5)
[00:08:52 -39827.113273] SLOW spr round 3 (radius: 5)
[00:09:31 -39827.113200] SLOW spr round 4 (radius: 10)
[00:10:13 -39824.116624] SLOW spr round 5 (radius: 5)
[00:11:03 -39824.116493] SLOW spr round 6 (radius: 10)
[00:11:51 -39824.116493] SLOW spr round 7 (radius: 15)
[00:12:49 -39823.545705] SLOW spr round 8 (radius: 5)
[00:13:45 -39823.545692] SLOW spr round 9 (radius: 10)
[00:14:34 -39823.545692] SLOW spr round 10 (radius: 15)
[00:15:33 -39823.545692] SLOW spr round 11 (radius: 20)
[00:16:47 -39823.545692] SLOW spr round 12 (radius: 25)
[00:18:03 -39823.545692] Model parameter optimization (eps = 0.100000)

[00:18:06] [worker #0] ML tree search #1, logLikelihood: -39823.521530

[00:18:06 -147078.141217] Initial branch length optimization
[00:18:08 -114556.368103] Model parameter optimization (eps = 10.000000)
[00:18:33 -114006.710110] AUTODETECT spr round 1 (radius: 5)
[00:18:37] [worker #2] ML tree search #3, logLikelihood: -39829.643022
[00:19:05 -75262.448856] AUTODETECT spr round 2 (radius: 10)
[00:19:43 -56779.775476] AUTODETECT spr round 3 (radius: 15)
[00:20:25 -49685.608621] AUTODETECT spr round 4 (radius: 20)
[00:21:18 -46174.347022] AUTODETECT spr round 5 (radius: 25)
[00:21:27] [worker #1] ML tree search #2, logLikelihood: -39860.647076
[00:22:14 -45062.120260] SPR radius for FAST iterations: 25 (autodetect)
[00:22:14 -45062.120260] Model parameter optimization (eps = 3.000000)
[00:22:25 -44992.562728] FAST spr round 1 (radius: 25)
[00:23:10 -40118.810317] FAST spr round 2 (radius: 25)
[00:23:17] [worker #3] ML tree search #4, logLikelihood: -39857.265893
[00:23:43 -39875.470174] FAST spr round 3 (radius: 25)
[00:24:14 -39848.237275] FAST spr round 4 (radius: 25)
[00:24:41 -39841.653268] FAST spr round 5 (radius: 25)
[00:25:06 -39841.653157] Model parameter optimization (eps = 1.000000)
[00:25:14 -39829.934113] SLOW spr round 1 (radius: 5)
[00:25:55 -39823.553918] SLOW spr round 2 (radius: 5)
[00:26:34 -39823.552341] SLOW spr round 3 (radius: 10)
[00:27:16 -39823.552285] SLOW spr round 4 (radius: 15)
[00:28:17 -39823.552274] SLOW spr round 5 (radius: 20)
[00:29:36 -39823.552267] SLOW spr round 6 (radius: 25)
[00:30:55 -39823.552261] Model parameter optimization (eps = 0.100000)

[00:30:58] [worker #0] ML tree search #5, logLikelihood: -39823.498969

[00:30:58 -146150.235596] Initial branch length optimization
[00:31:00 -114682.791907] Model parameter optimization (eps = 10.000000)
[00:31:16 -114051.555538] AUTODETECT spr round 1 (radius: 5)
[00:31:48 -75974.497191] AUTODETECT spr round 2 (radius: 10)
[00:32:28 -57034.377452] AUTODETECT spr round 3 (radius: 15)
[00:33:16 -47638.084940] AUTODETECT spr round 4 (radius: 20)
[00:34:08 -45206.943847] AUTODETECT spr round 5 (radius: 25)
[00:35:07 -45104.055388] SPR radius for FAST iterations: 25 (autodetect)
[00:35:07 -45104.055388] Model parameter optimization (eps = 3.000000)
[00:35:18 -45009.180852] FAST spr round 1 (radius: 25)
[00:36:04 -40116.814130] FAST spr round 2 (radius: 25)
[00:36:40 -39865.686965] FAST spr round 3 (radius: 25)
[00:36:48] [worker #2] ML tree search #7, logLikelihood: -39823.841524
[00:37:13 -39849.236510] FAST spr round 4 (radius: 25)
[00:37:40 -39847.933415] FAST spr round 5 (radius: 25)
[00:38:07 -39847.932721] Model parameter optimization (eps = 1.000000)
[00:38:14 -39837.057104] SLOW spr round 1 (radius: 5)
[00:38:54 -39829.891847] SLOW spr round 2 (radius: 5)
[00:39:35 -39827.222076] SLOW spr round 3 (radius: 5)
[00:40:13 -39827.221904] SLOW spr round 4 (radius: 10)
[00:40:55 -39825.518649] SLOW spr round 5 (radius: 5)
[00:41:45 -39825.071535] SLOW spr round 6 (radius: 5)
[00:42:28 -39824.026080] SLOW spr round 7 (radius: 5)
[00:42:39] [worker #3] ML tree search #8, logLikelihood: -39846.292784
[00:43:07 -39824.025696] SLOW spr round 8 (radius: 10)
[00:43:50 -39824.025678] SLOW spr round 9 (radius: 15)
[00:44:53 -39822.662902] SLOW spr round 10 (radius: 5)
[00:45:49 -39822.661923] SLOW spr round 11 (radius: 10)
[00:46:40 -39822.661697] SLOW spr round 12 (radius: 15)
[00:47:42 -39822.661636] SLOW spr round 13 (radius: 20)
[00:49:04 -39822.661620] SLOW spr round 14 (radius: 25)
[00:50:27 -39822.661616] Model parameter optimization (eps = 0.100000)

[00:50:32] [worker #0] ML tree search #9, logLikelihood: -39822.559030

[00:50:32 -146524.945653] Initial branch length optimization
[00:50:34 -113896.843559] Model parameter optimization (eps = 10.000000)
[00:50:52 -113345.292928] AUTODETECT spr round 1 (radius: 5)
[00:51:24 -75965.495949] AUTODETECT spr round 2 (radius: 10)
[00:52:02 -59938.462651] AUTODETECT spr round 3 (radius: 15)
[00:52:32] [worker #1] ML tree search #6, logLikelihood: -39833.936803
[00:52:43 -51733.602365] AUTODETECT spr round 4 (radius: 20)
[00:53:35 -44860.498522] AUTODETECT spr round 5 (radius: 25)
[00:54:33 -44721.078594] SPR radius for FAST iterations: 25 (autodetect)
[00:54:33 -44721.078594] Model parameter optimization (eps = 3.000000)
[00:54:45 -44598.877018] FAST spr round 1 (radius: 25)
[00:55:30 -40246.457164] FAST spr round 2 (radius: 25)
[00:55:40] [worker #2] ML tree search #11, logLikelihood: -39833.091804
[00:56:09 -39884.340455] FAST spr round 3 (radius: 25)
[00:56:40 -39872.435994] FAST spr round 4 (radius: 25)
[00:57:08 -39855.803792] FAST spr round 5 (radius: 25)
[00:57:34 -39855.803500] Model parameter optimization (eps = 1.000000)
[00:57:41 -39853.087669] SLOW spr round 1 (radius: 5)
[00:58:22 -39849.832326] SLOW spr round 2 (radius: 5)
[00:59:03 -39849.205341] SLOW spr round 3 (radius: 5)
[00:59:41 -39849.204954] SLOW spr round 4 (radius: 10)
[01:00:22 -39849.014712] SLOW spr round 5 (radius: 5)
[01:01:12 -39849.014664] SLOW spr round 6 (radius: 10)
[01:01:59 -39849.014635] SLOW spr round 7 (radius: 15)
[01:03:01 -39846.449964] SLOW spr round 8 (radius: 5)
[01:03:56 -39846.449645] SLOW spr round 9 (radius: 10)
[01:04:46 -39846.449559] SLOW spr round 10 (radius: 15)
[01:05:47 -39846.256964] SLOW spr round 11 (radius: 5)
[01:06:43 -39842.608942] SLOW spr round 12 (radius: 5)
[01:07:19] [worker #3] ML tree search #12, logLikelihood: -39826.816635
[01:07:31 -39841.045452] SLOW spr round 13 (radius: 5)
[01:08:13 -39839.883117] SLOW spr round 14 (radius: 5)
[01:08:51 -39839.882686] SLOW spr round 15 (radius: 10)
[01:09:18] [worker #1] ML tree search #10, logLikelihood: -39839.962180
[01:09:33 -39839.882318] SLOW spr round 16 (radius: 15)
[01:10:35 -39839.744333] SLOW spr round 17 (radius: 5)
[01:11:30 -39839.060483] SLOW spr round 18 (radius: 5)
[01:12:16 -39836.899796] SLOW spr round 19 (radius: 5)
[01:12:57 -39836.788996] SLOW spr round 20 (radius: 5)
[01:13:35 -39836.788483] SLOW spr round 21 (radius: 10)
[01:14:18 -39836.788130] SLOW spr round 22 (radius: 15)
[01:15:22 -39836.787781] SLOW spr round 23 (radius: 20)
[01:16:41 -39836.275534] SLOW spr round 24 (radius: 5)
[01:17:39 -39836.275184] SLOW spr round 25 (radius: 10)
[01:18:17] [worker #2] ML tree search #15, logLikelihood: -39819.653877
[01:18:31 -39836.274838] SLOW spr round 26 (radius: 15)
[01:19:33 -39836.223331] SLOW spr round 27 (radius: 20)
[01:20:51 -39836.222986] SLOW spr round 28 (radius: 25)
[01:22:12 -39836.222642] Model parameter optimization (eps = 0.100000)

[01:22:16] [worker #0] ML tree search #13, logLikelihood: -39836.076539

[01:22:16 -148491.984946] Initial branch length optimization
[01:22:18 -115617.234175] Model parameter optimization (eps = 10.000000)
[01:22:45 -115067.636946] AUTODETECT spr round 1 (radius: 5)
[01:23:17 -76049.508269] AUTODETECT spr round 2 (radius: 10)
[01:23:55 -59180.150708] AUTODETECT spr round 3 (radius: 15)
[01:24:39 -50995.197228] AUTODETECT spr round 4 (radius: 20)
[01:25:33 -46611.023687] AUTODETECT spr round 5 (radius: 25)
[01:26:37 -45742.289638] SPR radius for FAST iterations: 25 (autodetect)
[01:26:37 -45742.289638] Model parameter optimization (eps = 3.000000)
[01:26:40] [worker #3] ML tree search #16, logLikelihood: -39827.978991
[01:26:48 -45634.653928] FAST spr round 1 (radius: 25)
[01:27:31 -40183.633990] FAST spr round 2 (radius: 25)
[01:28:05 -39853.243280] FAST spr round 3 (radius: 25)
[01:28:33 -39844.065682] FAST spr round 4 (radius: 25)
[01:29:01 -39843.003819] FAST spr round 5 (radius: 25)
[01:29:22] [worker #1] ML tree search #14, logLikelihood: -39827.736753
[01:29:27 -39841.759364] FAST spr round 6 (radius: 25)
[01:29:53 -39840.334559] FAST spr round 7 (radius: 25)
[01:30:18 -39840.334350] Model parameter optimization (eps = 1.000000)
[01:30:27 -39834.924229] SLOW spr round 1 (radius: 5)
[01:31:08 -39828.270965] SLOW spr round 2 (radius: 5)
[01:31:48 -39828.270624] SLOW spr round 3 (radius: 10)
[01:32:30 -39828.270610] SLOW spr round 4 (radius: 15)
[01:33:34 -39828.270608] SLOW spr round 5 (radius: 20)
[01:34:48] [worker #2] ML tree search #19, logLikelihood: -39824.370532
[01:34:54 -39827.737096] SLOW spr round 6 (radius: 5)
[01:35:50 -39827.737092] SLOW spr round 7 (radius: 10)
[01:36:42 -39827.737092] SLOW spr round 8 (radius: 15)
[01:37:44 -39827.685765] SLOW spr round 9 (radius: 20)
[01:39:04 -39827.685765] SLOW spr round 10 (radius: 25)
[01:40:23 -39827.685765] Model parameter optimization (eps = 0.100000)

[01:40:26] [worker #0] ML tree search #17, logLikelihood: -39827.669029

[01:48:13] [worker #3] ML tree search #20, logLikelihood: -39833.672393
[01:49:11] [worker #1] ML tree search #18, logLikelihood: -39820.776381

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.167321,0.380304) (0.229153,0.451720) (0.362252,0.897469) (0.241274,2.104427) 
   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: -39819.653877

AIC score: 81337.307755 / AICc score: 1524637.307755 / BIC score: 84170.877585
Free parameters (model + branch lengths): 849

WARNING: Number of free parameters (K=849) is larger than alignment size (n=208).
         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/P52788/3_mltree/P52788.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P52788/3_mltree/P52788.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P52788/3_mltree/P52788.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P52788/3_mltree/P52788.raxml.log

Analysis started: 03-Jul-2021 01:21:25 / finished: 03-Jul-2021 03:10:37

Elapsed time: 6551.881 seconds

Consumed energy: 436.044 Wh (= 2 km in an electric car, or 11 km with an e-scooter!)