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 02-Jul-2021 18:04:48 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O95786/2_msa/O95786_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O95786/3_mltree/O95786 --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/O95786/2_msa/O95786_trimmed_msa.fasta
[00:00:00] Loaded alignment with 979 taxa and 414 sites

WARNING: Sequences tr_F1NJX0_F1NJX0_CHICK_9031 and sp_Q25BN1_DICER_CHICK_9031 are exactly identical!
WARNING: Sequences tr_M3XVJ9_M3XVJ9_MUSPF_9669 and tr_A0A2Y9JJN5_A0A2Y9JJN5_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_B6Q4H4_B6Q4H4_TALMQ_441960 and tr_A0A093Y6R3_A0A093Y6R3_TALMA_1077442 are exactly identical!
WARNING: Sequences tr_G3RIJ8_G3RIJ8_GORGO_9595 and tr_H2QIW3_H2QIW3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RIJ8_G3RIJ8_GORGO_9595 and tr_A0A2R9BSQ5_A0A2R9BSQ5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A179UM45_A0A179UM45_BLAGS_559298 and tr_C5GD04_C5GD04_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_H2QX44_H2QX44_PANTR_9598 and sp_O95786_DDX58_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A0E0IZ15_A0A0E0IZ15_ORYNI_4536 and tr_A0A0E0R4Z1_A0A0E0R4Z1_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0IZ15_A0A0E0IZ15_ORYNI_4536 and tr_A0A0D3HIX0_A0A0D3HIX0_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0IZ15_A0A0E0IZ15_ORYNI_4536 and tr_A0A0E0BG20_A0A0E0BG20_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A1D5RCV0_A0A1D5RCV0_MACMU_9544 and tr_A0A2K6E2Z6_A0A2K6E2Z6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6SLC3_F6SLC3_MACMU_9544 and tr_G7PBE6_G7PBE6_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6SLC3_F6SLC3_MACMU_9544 and tr_A0A096NJK7_A0A096NJK7_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6SLC3_F6SLC3_MACMU_9544 and tr_A0A0D9RE71_A0A0D9RE71_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6SLC3_F6SLC3_MACMU_9544 and tr_A0A2K5LPA7_A0A2K5LPA7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6SLC3_F6SLC3_MACMU_9544 and tr_A0A2K6AZM0_A0A2K6AZM0_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6SLC3_F6SLC3_MACMU_9544 and tr_A0A2K5Z076_A0A2K5Z076_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7FKQ9_F7FKQ9_MACMU_9544 and tr_G7PS60_G7PS60_MACFA_9541 are exactly identical!
WARNING: Sequences tr_Q0GBW6_Q0GBW6_MACMU_9544 and tr_G7PKP2_G7PKP2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F2PUS1_F2PUS1_TRIEC_559882 and tr_A0A059JF71_A0A059JF71_9EURO_1215338 are exactly identical!
WARNING: Sequences tr_S0DIR1_S0DIR1_GIBF5_1279085 and tr_A0A365N633_A0A365N633_GIBIN_948311 are exactly identical!
WARNING: Sequences tr_A0A015IZI6_A0A015IZI6_9GLOM_1432141 and tr_A0A2I1G9P9_A0A2I1G9P9_9GLOM_588596 are exactly identical!
WARNING: Sequences tr_A0A096P5R6_A0A096P5R6_PAPAN_9555 and tr_A0A2K6AAE6_A0A2K6AAE6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9RSR4_A0A0D9RSR4_CHLSB_60711 and tr_A0A2K5X9U7_A0A2K5X9U7_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0L9TFB5_A0A0L9TFB5_PHAAN_3914 and tr_A0A1S3TZ55_A0A1S3TZ55_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A1S3YKR2_A0A1S3YKR2_TOBAC_4097 and tr_A0A1U7Y742_A0A1U7Y742_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3HYL7_A0A1S3HYL7_LINUN_7574 and tr_A0A2R2MNY6_A0A2R2MNY6_LINUN_7574 are exactly identical!
WARNING: Sequences tr_A0A1B8A5J8_A0A1B8A5J8_FUSPO_36050 and tr_A0A1B8A7D1_A0A1B8A7D1_FUSPO_36050 are exactly identical!
WARNING: Sequences tr_A0A226NKG3_A0A226NKG3_CALSU_9009 and tr_A0A226NYI5_A0A226NYI5_COLVI_9014 are exactly identical!
WARNING: Sequences tr_A0A2D0RQ94_A0A2D0RQ94_ICTPU_7998 and tr_A0A2D0RRT8_A0A2D0RRT8_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2G2YJZ3_A0A2G2YJZ3_CAPAN_4072 and tr_A0A2G3BDP3_A0A2G3BDP3_CAPCH_80379 are exactly identical!
WARNING: Sequences tr_A0A2U3ZZ05_A0A2U3ZZ05_TURTR_9739 and tr_A0A383ZV00_A0A383ZV00_BALAS_310752 are exactly identical!
WARNING: Duplicate sequences found: 32

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/O95786/3_mltree/O95786.raxml.reduced.phy

Alignment comprises 1 partitions and 414 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 414 / 414
Gaps: 10.90 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O95786/3_mltree/O95786.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 979 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 207 / 16560
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -820991.086667] Initial branch length optimization
[00:00:10 -698299.554106] Model parameter optimization (eps = 10.000000)
[00:01:08 -696830.333508] AUTODETECT spr round 1 (radius: 5)
[00:04:41 -510343.518311] AUTODETECT spr round 2 (radius: 10)
[00:08:30 -388722.092761] AUTODETECT spr round 3 (radius: 15)
[00:12:41 -322147.870626] AUTODETECT spr round 4 (radius: 20)
[00:17:30 -300265.749862] AUTODETECT spr round 5 (radius: 25)
[00:22:24 -296669.641250] SPR radius for FAST iterations: 25 (autodetect)
[00:22:24 -296669.641250] Model parameter optimization (eps = 3.000000)
[00:22:52 -296489.885893] FAST spr round 1 (radius: 25)
[00:28:03 -263166.402885] FAST spr round 2 (radius: 25)
[00:31:41 -262316.760662] FAST spr round 3 (radius: 25)
[00:34:44 -262216.300366] FAST spr round 4 (radius: 25)
[00:37:25 -262202.208807] FAST spr round 5 (radius: 25)
[00:39:55 -262201.088377] FAST spr round 6 (radius: 25)
[00:42:20 -262201.088123] Model parameter optimization (eps = 1.000000)
[00:42:45 -262193.308371] SLOW spr round 1 (radius: 5)
[00:46:06 -262142.102525] SLOW spr round 2 (radius: 5)
[00:49:21 -262138.901008] SLOW spr round 3 (radius: 5)
[00:52:27 -262138.900820] SLOW spr round 4 (radius: 10)
[00:55:45 -262137.787629] SLOW spr round 5 (radius: 5)
[00:59:43 -262137.786096] SLOW spr round 6 (radius: 10)
[01:03:25 -262137.785954] SLOW spr round 7 (radius: 15)
[01:09:08 -262137.785937] SLOW spr round 8 (radius: 20)
[01:18:15 -262137.785933] SLOW spr round 9 (radius: 25)
[01:29:19 -262137.785933] Model parameter optimization (eps = 0.100000)

[01:29:45] [worker #0] ML tree search #1, logLikelihood: -262137.200388

[01:29:45 -821676.210213] Initial branch length optimization
[01:29:53 -696627.847570] Model parameter optimization (eps = 10.000000)
[01:31:19 -695023.529286] AUTODETECT spr round 1 (radius: 5)
[01:34:49 -501598.025706] AUTODETECT spr round 2 (radius: 10)
[01:38:32 -385449.519379] AUTODETECT spr round 3 (radius: 15)
[01:42:43 -340408.717001] AUTODETECT spr round 4 (radius: 20)
[01:43:22] [worker #2] ML tree search #3, logLikelihood: -262131.759879
[01:47:58 -313090.946130] AUTODETECT spr round 5 (radius: 25)
[01:54:27 -303570.842919] SPR radius for FAST iterations: 25 (autodetect)
[01:54:27 -303570.842919] Model parameter optimization (eps = 3.000000)
[01:54:54 -303477.491373] FAST spr round 1 (radius: 25)
[02:00:33 -263712.900589] FAST spr round 2 (radius: 25)
[02:04:19 -262305.794749] FAST spr round 3 (radius: 25)
[02:07:21 -262204.587881] FAST spr round 4 (radius: 25)
[02:10:03 -262187.472181] FAST spr round 5 (radius: 25)
[02:12:32 -262181.499292] FAST spr round 6 (radius: 25)
[02:14:58 -262174.851849] FAST spr round 7 (radius: 25)
[02:17:22 -262171.127086] FAST spr round 8 (radius: 25)
[02:19:43 -262171.126432] Model parameter optimization (eps = 1.000000)
[02:20:12 -262167.162081] SLOW spr round 1 (radius: 5)
[02:23:15] [worker #1] ML tree search #2, logLikelihood: -262136.663585
[02:23:29 -262141.847661] SLOW spr round 2 (radius: 5)
[02:26:40 -262141.271503] SLOW spr round 3 (radius: 5)
[02:29:49 -262141.269317] SLOW spr round 4 (radius: 10)
[02:33:08 -262141.269099] SLOW spr round 5 (radius: 15)
[02:39:12 -262141.190898] SLOW spr round 6 (radius: 20)
[02:47:55 -262141.188971] SLOW spr round 7 (radius: 25)
[02:58:10 -262141.188814] Model parameter optimization (eps = 0.100000)

[02:58:20] [worker #0] ML tree search #4, logLikelihood: -262141.115383

[02:58:21 -821114.431805] Initial branch length optimization
[02:58:30 -699006.121768] Model parameter optimization (eps = 10.000000)
[02:59:35 -697443.756830] AUTODETECT spr round 1 (radius: 5)
[03:03:05 -503901.161960] AUTODETECT spr round 2 (radius: 10)
[03:06:53] [worker #2] ML tree search #6, logLikelihood: -262136.646830
[03:06:59 -380109.896408] AUTODETECT spr round 3 (radius: 15)
[03:11:10 -316744.275115] AUTODETECT spr round 4 (radius: 20)
[03:15:40 -296948.636571] AUTODETECT spr round 5 (radius: 25)
[03:21:27 -293299.299195] SPR radius for FAST iterations: 25 (autodetect)
[03:21:27 -293299.299195] Model parameter optimization (eps = 3.000000)
[03:21:58 -293143.560381] FAST spr round 1 (radius: 25)
[03:27:11 -264520.777841] FAST spr round 2 (radius: 25)
[03:31:00 -262333.124769] FAST spr round 3 (radius: 25)
[03:34:15 -262210.652370] FAST spr round 4 (radius: 25)
[03:36:58 -262199.500505] FAST spr round 5 (radius: 25)
[03:39:28 -262196.953685] FAST spr round 6 (radius: 25)
[03:41:54 -262196.952820] Model parameter optimization (eps = 1.000000)
[03:42:18 -262192.766618] SLOW spr round 1 (radius: 5)
[03:45:38 -262156.497290] SLOW spr round 2 (radius: 5)
[03:48:48 -262156.336457] SLOW spr round 3 (radius: 5)
[03:51:53 -262156.336060] SLOW spr round 4 (radius: 10)
[03:55:11 -262154.872726] SLOW spr round 5 (radius: 5)
[03:59:06 -262152.293133] SLOW spr round 6 (radius: 5)
[04:02:33 -262152.293058] SLOW spr round 7 (radius: 10)
[04:05:58 -262152.293003] SLOW spr round 8 (radius: 15)
[04:11:53 -262151.877108] SLOW spr round 9 (radius: 5)
[04:15:55 -262151.578978] SLOW spr round 10 (radius: 5)
[04:17:26] [worker #1] ML tree search #5, logLikelihood: -262141.140476
[04:19:29 -262151.578809] SLOW spr round 11 (radius: 10)
[04:22:57 -262151.578753] SLOW spr round 12 (radius: 15)
[04:28:49 -262151.578700] SLOW spr round 13 (radius: 20)
[04:32:22] [worker #2] ML tree search #9, logLikelihood: -262138.977681
[04:37:41 -262151.006663] SLOW spr round 14 (radius: 5)
[04:41:52 -262151.005213] SLOW spr round 15 (radius: 10)
[04:45:55 -262151.004747] SLOW spr round 16 (radius: 15)
[04:51:36 -262151.004544] SLOW spr round 17 (radius: 20)
[05:00:34 -262151.004437] SLOW spr round 18 (radius: 25)
[05:11:23 -262151.004364] Model parameter optimization (eps = 0.100000)

[05:11:37] [worker #0] ML tree search #7, logLikelihood: -262150.645578

[05:11:37 -822902.671359] Initial branch length optimization
[05:11:43 -700158.470200] Model parameter optimization (eps = 10.000000)
[05:12:32 -698487.708422] AUTODETECT spr round 1 (radius: 5)
[05:15:58 -503156.914064] AUTODETECT spr round 2 (radius: 10)
[05:19:47 -387971.288263] AUTODETECT spr round 3 (radius: 15)
[05:23:45 -338382.632602] AUTODETECT spr round 4 (radius: 20)
[05:28:23 -321001.386359] AUTODETECT spr round 5 (radius: 25)
[05:33:29 -307462.342220] SPR radius for FAST iterations: 25 (autodetect)
[05:33:29 -307462.342220] Model parameter optimization (eps = 3.000000)
[05:34:02 -307283.897459] FAST spr round 1 (radius: 25)
[05:39:21 -263890.611524] FAST spr round 2 (radius: 25)
[05:43:10 -262323.275082] FAST spr round 3 (radius: 25)
[05:46:07 -262234.241851] FAST spr round 4 (radius: 25)
[05:48:42 -262224.514000] FAST spr round 5 (radius: 25)
[05:51:08 -262221.766619] FAST spr round 6 (radius: 25)
[05:53:28 -262221.765969] Model parameter optimization (eps = 1.000000)
[05:53:47 -262213.666290] SLOW spr round 1 (radius: 5)
[05:57:07 -262173.334520] SLOW spr round 2 (radius: 5)
[06:00:21 -262166.448800] SLOW spr round 3 (radius: 5)
[06:03:26 -262166.373602] SLOW spr round 4 (radius: 10)
[06:06:40 -262165.694479] SLOW spr round 5 (radius: 5)
[06:10:34 -262165.693895] SLOW spr round 6 (radius: 10)
[06:11:54] [worker #1] ML tree search #8, logLikelihood: -262165.138162
[06:14:18 -262165.693803] SLOW spr round 7 (radius: 15)
[06:20:10 -262165.693764] SLOW spr round 8 (radius: 20)
[06:29:20 -262165.693741] SLOW spr round 9 (radius: 25)
[06:30:56] [worker #2] ML tree search #12, logLikelihood: -262168.196388
[06:40:00 -262165.693722] Model parameter optimization (eps = 0.100000)

[06:40:15] [worker #0] ML tree search #10, logLikelihood: -262165.187005

[06:40:15 -819760.577054] Initial branch length optimization
[06:40:25 -695370.694555] Model parameter optimization (eps = 10.000000)
[06:41:13 -693901.878093] AUTODETECT spr round 1 (radius: 5)
[06:44:41 -498317.364598] AUTODETECT spr round 2 (radius: 10)
[06:48:30 -393095.664680] AUTODETECT spr round 3 (radius: 15)
[06:52:47 -326606.211976] AUTODETECT spr round 4 (radius: 20)
[06:57:29 -304686.905758] AUTODETECT spr round 5 (radius: 25)
[07:02:37 -303241.437148] SPR radius for FAST iterations: 25 (autodetect)
[07:02:37 -303241.437148] Model parameter optimization (eps = 3.000000)
[07:02:44 -303241.061309] FAST spr round 1 (radius: 25)
[07:07:40 -263422.087608] FAST spr round 2 (radius: 25)
[07:11:23 -262458.680360] FAST spr round 3 (radius: 25)
[07:14:23 -262346.894442] FAST spr round 4 (radius: 25)
[07:16:59 -262338.524665] FAST spr round 5 (radius: 25)
[07:19:26 -262337.601109] FAST spr round 6 (radius: 25)
[07:21:47 -262337.599253] Model parameter optimization (eps = 1.000000)
[07:22:11 -262198.076032] SLOW spr round 1 (radius: 5)
[07:25:28 -262158.764313] SLOW spr round 2 (radius: 5)
[07:28:36 -262154.289555] SLOW spr round 3 (radius: 5)
[07:31:38 -262154.086208] SLOW spr round 4 (radius: 5)
[07:34:41 -262154.044788] SLOW spr round 5 (radius: 10)
[07:37:58 -262148.746021] SLOW spr round 6 (radius: 5)
[07:41:52 -262148.251805] SLOW spr round 7 (radius: 5)
[07:45:21 -262148.251138] SLOW spr round 8 (radius: 10)
[07:48:44 -262148.251100] SLOW spr round 9 (radius: 15)
[07:54:28 -262148.251083] SLOW spr round 10 (radius: 20)
[08:03:12 -262147.933171] SLOW spr round 11 (radius: 5)
[08:04:48] [worker #2] ML tree search #15, logLikelihood: -262148.269892
[08:07:21 -262147.915153] SLOW spr round 12 (radius: 10)
[08:08:21] [worker #1] ML tree search #11, logLikelihood: -262127.099577
[08:11:21 -262147.913771] SLOW spr round 13 (radius: 15)
[08:16:54 -262147.913007] SLOW spr round 14 (radius: 20)
[08:25:51 -262147.912582] SLOW spr round 15 (radius: 25)
[08:35:55 -262147.912344] Model parameter optimization (eps = 0.100000)

[08:36:05] [worker #0] ML tree search #13, logLikelihood: -262147.835787

[08:36:05 -817022.594451] Initial branch length optimization
[08:36:15 -695745.965630] Model parameter optimization (eps = 10.000000)
[08:37:07 -694247.352689] AUTODETECT spr round 1 (radius: 5)
[08:40:38 -504617.570818] AUTODETECT spr round 2 (radius: 10)
[08:44:31 -384833.283966] AUTODETECT spr round 3 (radius: 15)
[08:48:30 -335382.204561] AUTODETECT spr round 4 (radius: 20)
[08:53:21 -313089.184915] AUTODETECT spr round 5 (radius: 25)
[08:59:08 -304789.852542] SPR radius for FAST iterations: 25 (autodetect)
[08:59:08 -304789.852542] Model parameter optimization (eps = 3.000000)
[08:59:39 -304583.552363] FAST spr round 1 (radius: 25)
[09:04:59 -263762.143816] FAST spr round 2 (radius: 25)
[09:08:49 -262296.844540] FAST spr round 3 (radius: 25)
[09:11:51 -262204.701679] FAST spr round 4 (radius: 25)
[09:14:28 -262199.896605] FAST spr round 5 (radius: 25)
[09:16:56 -262197.806947] FAST spr round 6 (radius: 25)
[09:19:20 -262197.412954] FAST spr round 7 (radius: 25)
[09:21:42 -262197.412717] Model parameter optimization (eps = 1.000000)
[09:21:49 -262197.086106] SLOW spr round 1 (radius: 5)
[09:25:09 -262150.122216] SLOW spr round 2 (radius: 5)
[09:28:16 -262146.439299] SLOW spr round 3 (radius: 5)
[09:31:22 -262145.098326] SLOW spr round 4 (radius: 5)
[09:34:27 -262145.098026] SLOW spr round 5 (radius: 10)
[09:37:39 -262145.097977] SLOW spr round 6 (radius: 15)
[09:43:50 -262144.964995] SLOW spr round 7 (radius: 5)
[09:47:57 -262144.962985] SLOW spr round 8 (radius: 10)
[09:51:03] [worker #1] ML tree search #14, logLikelihood: -262144.822411
[09:51:51 -262144.962848] SLOW spr round 9 (radius: 15)
[09:57:35 -262144.962838] SLOW spr round 10 (radius: 20)
[10:06:44 -262144.962838] SLOW spr round 11 (radius: 25)
[10:16:59 -262144.962838] Model parameter optimization (eps = 0.100000)

[10:17:05] [worker #0] ML tree search #16, logLikelihood: -262144.961521

[10:17:05 -817714.974009] Initial branch length optimization
[10:17:15 -691666.724516] Model parameter optimization (eps = 10.000000)
[10:18:05 -690337.487478] AUTODETECT spr round 1 (radius: 5)
[10:18:36] [worker #2] ML tree search #18, logLikelihood: -262147.172197
[10:21:33 -497386.587332] AUTODETECT spr round 2 (radius: 10)
[10:25:28 -383782.127082] AUTODETECT spr round 3 (radius: 15)
[10:29:43 -322911.128780] AUTODETECT spr round 4 (radius: 20)
[10:34:06 -299792.634948] AUTODETECT spr round 5 (radius: 25)
[10:39:29 -294704.925762] SPR radius for FAST iterations: 25 (autodetect)
[10:39:29 -294704.925762] Model parameter optimization (eps = 3.000000)
[10:39:52 -294532.203913] FAST spr round 1 (radius: 25)
[10:45:08 -263367.827095] FAST spr round 2 (radius: 25)
[10:48:51 -262321.731972] FAST spr round 3 (radius: 25)
[10:51:59 -262240.361334] FAST spr round 4 (radius: 25)
[10:54:39 -262221.276512] FAST spr round 5 (radius: 25)
[10:57:10 -262216.084377] FAST spr round 6 (radius: 25)
[10:59:34 -262216.077934] Model parameter optimization (eps = 1.000000)
[10:59:57 -262207.599525] SLOW spr round 1 (radius: 5)
[11:03:18 -262157.076819] SLOW spr round 2 (radius: 5)
[11:06:31 -262145.120614] SLOW spr round 3 (radius: 5)
[11:09:41 -262142.489349] SLOW spr round 4 (radius: 5)
[11:12:44 -262142.488798] SLOW spr round 5 (radius: 10)
[11:15:59 -262142.488774] SLOW spr round 6 (radius: 15)
[11:22:09 -262141.586994] SLOW spr round 7 (radius: 5)
[11:26:19 -262141.563219] SLOW spr round 8 (radius: 10)
[11:30:12 -262140.855018] SLOW spr round 9 (radius: 5)
[11:34:02 -262140.503877] SLOW spr round 10 (radius: 5)
[11:37:30 -262140.483919] SLOW spr round 11 (radius: 10)
[11:40:53 -262140.483896] SLOW spr round 12 (radius: 15)
[11:46:54 -262140.483879] SLOW spr round 13 (radius: 20)
[11:55:50 -262140.483862] SLOW spr round 14 (radius: 25)
[12:06:44 -262140.483844] Model parameter optimization (eps = 0.100000)

[12:07:01] [worker #0] ML tree search #19, logLikelihood: -262139.827307

[12:30:49] [worker #1] ML tree search #17, logLikelihood: -262126.695037
[14:00:37] [worker #1] ML tree search #20, logLikelihood: -262140.663225

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.147971,0.328828) (0.234206,0.369926) (0.317662,0.891969) (0.300160,1.936829) 
   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: -262126.695037

AIC score: 528175.390074 / AICc score: 8223139.390074 / BIC score: 536070.113249
Free parameters (model + branch lengths): 1961

WARNING: Number of free parameters (K=1961) is larger than alignment size (n=414).
         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/O95786/3_mltree/O95786.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O95786/3_mltree/O95786.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O95786/3_mltree/O95786.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O95786/3_mltree/O95786.raxml.log

Analysis started: 02-Jul-2021 18:04:48 / finished: 03-Jul-2021 08:05:25

Elapsed time: 50437.858 seconds

Consumed energy: 4232.320 Wh (= 21 km in an electric car, or 106 km with an e-scooter!)