RAxML-NG v. 1.0.2 released on 22.02.2021 by The Exelixis Lab.
Developed by: Alexey M. Kozlov and Alexandros Stamatakis.
Contributors: Diego Darriba, Tomas Flouri, Benoit Morel, Sarah Lutteropp, Ben Bettisworth.
Latest version: https://github.com/amkozlov/raxml-ng
Questions/problems/suggestions? Please visit: https://groups.google.com/forum/#!forum/raxml

System: Intel(R) Xeon(R) Gold 6148 CPU @ 2.40GHz, 40 cores, 376 GB RAM

RAxML-NG was called at 06-Jul-2021 18:53:10 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/2_msa/Q9NYF8_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8 --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/Q9NYF8/2_msa/Q9NYF8_trimmed_msa.fasta
[00:00:00] Loaded alignment with 299 taxa and 502 sites

WARNING: Sequences tr_M3YTR0_M3YTR0_MUSPF_9669 and tr_G1LTX4_G1LTX4_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3YTR0_M3YTR0_MUSPF_9669 and tr_A0A2U3WMW3_A0A2U3WMW3_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YTR0_M3YTR0_MUSPF_9669 and tr_A0A2U3Y521_A0A2U3Y521_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_M3YTR0_M3YTR0_MUSPF_9669 and tr_A0A2Y9JI12_A0A2Y9JI12_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_M3YTR0_M3YTR0_MUSPF_9669 and tr_A0A384C325_A0A384C325_URSMA_29073 are exactly identical!
WARNING: Sequences tr_G3QVJ9_G3QVJ9_GORGO_9595 and tr_H2PYN1_H2PYN1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QVJ9_G3QVJ9_GORGO_9595 and sp_Q9Y2W1_TR150_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QVJ9_G3QVJ9_GORGO_9595 and tr_A0A2R9A795_A0A2R9A795_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SDE6_G3SDE6_GORGO_9595 and sp_Q9NYF8_BCLF1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3SDE6_G3SDE6_GORGO_9595 and tr_A0A2I3N0M5_A0A2I3N0M5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3SDE6_G3SDE6_GORGO_9595 and tr_A0A2K5L1Y3_A0A2K5L1Y3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3SDE6_G3SDE6_GORGO_9595 and tr_A0A2K5Y5U2_A0A2K5Y5U2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H2QYD7_H2QYD7_PANTR_9598 and tr_A0A2R9C7Q7_A0A2R9C7Q7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_W5NPI1_W5NPI1_SHEEP_9940 and tr_F1MQU4_F1MQU4_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_F7GNF6_F7GNF6_MACMU_9544 and tr_A0A096MV19_A0A096MV19_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7GNF6_F7GNF6_MACMU_9544 and tr_A0A2K5MYN8_A0A2K5MYN8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7GNF6_F7GNF6_MACMU_9544 and tr_A0A2K5Y1Y9_A0A2K5Y1Y9_MANLE_9568 are exactly identical!
WARNING: Sequences tr_H0ZKQ4_H0ZKQ4_TAEGU_59729 and tr_U3KEN9_U3KEN9_FICAL_59894 are exactly identical!
WARNING: Sequences tr_H0ZKQ4_H0ZKQ4_TAEGU_59729 and tr_A0A091URN2_A0A091URN2_NIPNI_128390 are exactly identical!
WARNING: Sequences tr_H0ZKQ4_H0ZKQ4_TAEGU_59729 and tr_A0A0A0ADG0_A0A0A0ADG0_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_G7Q2C2_G7Q2C2_MACFA_9541 and tr_A0A2K5N378_A0A2K5N378_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2U3V5M3_A0A2U3V5M3_TURTR_9739 and tr_A0A2Y9NHQ3_A0A2Y9NHQ3_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U3V5M3_A0A2U3V5M3_TURTR_9739 and tr_A0A2Y9FBN5_A0A2Y9FBN5_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U4CP49_A0A2U4CP49_TURTR_9739 and tr_A0A2Y9F1P2_A0A2Y9F1P2_PHYCD_9755 are exactly identical!
WARNING: Duplicate sequences found: 24

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/Q9NYF8/3_mltree/Q9NYF8.raxml.reduced.phy

Alignment comprises 1 partitions and 502 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 502 / 502
Gaps: 10.33 %
Invariant sites: 0.20 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8.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 299 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 251 / 20080
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -227358.606311] Initial branch length optimization
[00:00:01 -170150.947599] Model parameter optimization (eps = 10.000000)
[00:00:18 -169612.522545] AUTODETECT spr round 1 (radius: 5)
[00:00:39 -95542.649739] AUTODETECT spr round 2 (radius: 10)
[00:01:07 -72283.236496] AUTODETECT spr round 3 (radius: 15)
[00:01:39 -64956.361646] AUTODETECT spr round 4 (radius: 20)
[00:02:20 -62100.376845] AUTODETECT spr round 5 (radius: 25)
[00:02:59 -58303.448287] SPR radius for FAST iterations: 25 (autodetect)
[00:02:59 -58303.448287] Model parameter optimization (eps = 3.000000)
[00:03:12 -57857.111261] FAST spr round 1 (radius: 25)
[00:03:42 -51291.087147] FAST spr round 2 (radius: 25)
[00:04:10 -50577.214837] FAST spr round 3 (radius: 25)
[00:04:31 -50462.196167] FAST spr round 4 (radius: 25)
[00:04:49 -50452.579824] FAST spr round 5 (radius: 25)
[00:05:05 -50452.579371] Model parameter optimization (eps = 1.000000)
[00:05:12 -50446.997248] SLOW spr round 1 (radius: 5)
[00:05:45 -50434.452809] SLOW spr round 2 (radius: 5)
[00:06:17 -50428.081229] SLOW spr round 3 (radius: 5)
[00:06:47 -50428.080806] SLOW spr round 4 (radius: 10)
[00:07:16 -50427.122772] SLOW spr round 5 (radius: 5)
[00:07:58 -50427.121933] SLOW spr round 6 (radius: 10)
[00:08:37 -50427.121539] SLOW spr round 7 (radius: 15)
[00:09:24 -50427.121144] SLOW spr round 8 (radius: 20)
[00:10:35 -50427.120748] SLOW spr round 9 (radius: 25)
[00:11:48 -50427.120352] Model parameter optimization (eps = 0.100000)

[00:11:51] [worker #0] ML tree search #1, logLikelihood: -50427.097345

[00:11:51 -229722.825815] Initial branch length optimization
[00:11:52 -174604.891053] Model parameter optimization (eps = 10.000000)
[00:11:54] [worker #2] ML tree search #3, logLikelihood: -50420.720998
[00:12:12 -173816.823928] AUTODETECT spr round 1 (radius: 5)
[00:12:21] [worker #1] ML tree search #2, logLikelihood: -50425.787838
[00:12:34 -95878.808481] AUTODETECT spr round 2 (radius: 10)
[00:13:01 -74465.518619] AUTODETECT spr round 3 (radius: 15)
[00:13:40 -61380.291261] AUTODETECT spr round 4 (radius: 20)
[00:14:17 -56744.928377] AUTODETECT spr round 5 (radius: 25)
[00:15:04 -56742.137472] SPR radius for FAST iterations: 25 (autodetect)
[00:15:04 -56742.137472] Model parameter optimization (eps = 3.000000)
[00:15:18 -56102.955933] FAST spr round 1 (radius: 25)
[00:15:47 -50551.579658] FAST spr round 2 (radius: 25)
[00:16:10 -50444.551767] FAST spr round 3 (radius: 25)
[00:16:28 -50436.714278] FAST spr round 4 (radius: 25)
[00:16:45 -50436.713084] Model parameter optimization (eps = 1.000000)
[00:16:52 -50433.578432] SLOW spr round 1 (radius: 5)
[00:17:26 -50419.075001] SLOW spr round 2 (radius: 5)
[00:17:57 -50419.074415] SLOW spr round 3 (radius: 10)
[00:18:26 -50417.841253] SLOW spr round 4 (radius: 5)
[00:19:07 -50417.840848] SLOW spr round 5 (radius: 10)
[00:19:46 -50417.840494] SLOW spr round 6 (radius: 15)
[00:20:33 -50417.840140] SLOW spr round 7 (radius: 20)
[00:21:41 -50417.839786] SLOW spr round 8 (radius: 25)
[00:22:23] [worker #2] ML tree search #6, logLikelihood: -50423.300463
[00:22:52 -50417.839431] Model parameter optimization (eps = 0.100000)

[00:22:54] [worker #0] ML tree search #4, logLikelihood: -50417.814640

[00:22:54 -230741.591653] Initial branch length optimization
[00:22:55 -172621.001384] Model parameter optimization (eps = 10.000000)
[00:23:13 -172057.521667] AUTODETECT spr round 1 (radius: 5)
[00:23:34 -98722.581476] AUTODETECT spr round 2 (radius: 10)
[00:24:02 -71701.104330] AUTODETECT spr round 3 (radius: 15)
[00:24:37 -64076.616458] AUTODETECT spr round 4 (radius: 20)
[00:25:23 -56957.853397] AUTODETECT spr round 5 (radius: 25)
[00:25:58] [worker #1] ML tree search #5, logLikelihood: -50425.099795
[00:26:13 -56948.835092] SPR radius for FAST iterations: 25 (autodetect)
[00:26:13 -56948.835092] Model parameter optimization (eps = 3.000000)
[00:26:29 -56407.634930] FAST spr round 1 (radius: 25)
[00:26:58 -50880.930960] FAST spr round 2 (radius: 25)
[00:27:20 -50468.783334] FAST spr round 3 (radius: 25)
[00:27:39 -50449.341688] FAST spr round 4 (radius: 25)
[00:27:57 -50441.374293] FAST spr round 5 (radius: 25)
[00:28:13 -50441.372337] Model parameter optimization (eps = 1.000000)
[00:28:21 -50435.471440] SLOW spr round 1 (radius: 5)
[00:28:53 -50419.537146] SLOW spr round 2 (radius: 5)
[00:29:25 -50415.754425] SLOW spr round 3 (radius: 5)
[00:29:55 -50415.753995] SLOW spr round 4 (radius: 10)
[00:30:25 -50414.483441] SLOW spr round 5 (radius: 5)
[00:31:06 -50414.483308] SLOW spr round 6 (radius: 10)
[00:31:45 -50414.483297] SLOW spr round 7 (radius: 15)
[00:32:37 -50414.483285] SLOW spr round 8 (radius: 20)
[00:33:49 -50414.483273] SLOW spr round 9 (radius: 25)
[00:35:00 -50414.483261] Model parameter optimization (eps = 0.100000)

[00:35:02] [worker #0] ML tree search #7, logLikelihood: -50414.457562

[00:35:02 -228018.766257] Initial branch length optimization
[00:35:03 -170536.454909] Model parameter optimization (eps = 10.000000)
[00:35:20 -170041.098605] AUTODETECT spr round 1 (radius: 5)
[00:35:42 -99330.455753] AUTODETECT spr round 2 (radius: 10)
[00:36:08 -72252.065234] AUTODETECT spr round 3 (radius: 15)
[00:36:40 -60624.714789] AUTODETECT spr round 4 (radius: 20)
[00:36:43] [worker #1] ML tree search #8, logLikelihood: -50425.893946
[00:37:18 -58852.606135] AUTODETECT spr round 5 (radius: 25)
[00:37:57 -58133.195554] SPR radius for FAST iterations: 25 (autodetect)
[00:37:57 -58133.195554] Model parameter optimization (eps = 3.000000)
[00:38:11 -57670.121414] FAST spr round 1 (radius: 25)
[00:38:39 -51057.624465] FAST spr round 2 (radius: 25)
[00:38:52] [worker #2] ML tree search #9, logLikelihood: -50422.688613
[00:39:05 -50468.576555] FAST spr round 3 (radius: 25)
[00:39:24 -50447.562912] FAST spr round 4 (radius: 25)
[00:39:42 -50447.562468] Model parameter optimization (eps = 1.000000)
[00:39:50 -50441.077437] SLOW spr round 1 (radius: 5)
[00:40:23 -50419.142659] SLOW spr round 2 (radius: 5)
[00:40:54 -50419.142213] SLOW spr round 3 (radius: 10)
[00:41:24 -50418.605818] SLOW spr round 4 (radius: 5)
[00:42:07 -50418.605023] SLOW spr round 5 (radius: 10)
[00:42:47 -50418.604703] SLOW spr round 6 (radius: 15)
[00:43:38 -50417.873932] SLOW spr round 7 (radius: 5)
[00:44:24 -50417.818678] SLOW spr round 8 (radius: 10)
[00:45:08 -50414.442884] SLOW spr round 9 (radius: 5)
[00:45:48 -50414.441948] SLOW spr round 10 (radius: 10)
[00:46:27 -50414.441627] SLOW spr round 11 (radius: 15)
[00:47:18 -50414.441307] SLOW spr round 12 (radius: 20)
[00:48:29 -50414.440986] SLOW spr round 13 (radius: 25)
[00:49:03] [worker #1] ML tree search #11, logLikelihood: -50426.699303
[00:49:39 -50414.440666] Model parameter optimization (eps = 0.100000)

[00:49:43] [worker #0] ML tree search #10, logLikelihood: -50414.357186

[00:49:43 -225595.980704] Initial branch length optimization
[00:49:44 -171013.729581] Model parameter optimization (eps = 10.000000)
[00:49:54] [worker #2] ML tree search #12, logLikelihood: -50427.994512
[00:50:04 -170478.819103] AUTODETECT spr round 1 (radius: 5)
[00:50:25 -102611.910250] AUTODETECT spr round 2 (radius: 10)
[00:50:53 -78033.085231] AUTODETECT spr round 3 (radius: 15)
[00:51:27 -66057.529229] AUTODETECT spr round 4 (radius: 20)
[00:52:05 -60705.287328] AUTODETECT spr round 5 (radius: 25)
[00:52:46 -60629.496159] SPR radius for FAST iterations: 25 (autodetect)
[00:52:46 -60629.496159] Model parameter optimization (eps = 3.000000)
[00:53:00 -60204.589155] FAST spr round 1 (radius: 25)
[00:53:34 -50871.847276] FAST spr round 2 (radius: 25)
[00:53:57 -50488.653592] FAST spr round 3 (radius: 25)
[00:54:16 -50470.165322] FAST spr round 4 (radius: 25)
[00:54:33 -50467.103452] FAST spr round 5 (radius: 25)
[00:54:50 -50467.103041] Model parameter optimization (eps = 1.000000)
[00:54:59 -50448.132179] SLOW spr round 1 (radius: 5)
[00:55:30 -50424.697404] SLOW spr round 2 (radius: 5)
[00:56:02 -50421.267155] SLOW spr round 3 (radius: 5)
[00:56:32 -50418.556873] SLOW spr round 4 (radius: 5)
[00:57:01 -50418.556786] SLOW spr round 5 (radius: 10)
[00:57:32 -50418.021569] SLOW spr round 6 (radius: 5)
[00:58:12 -50418.021387] SLOW spr round 7 (radius: 10)
[00:58:54 -50418.021340] SLOW spr round 8 (radius: 15)
[00:59:43 -50417.361478] SLOW spr round 9 (radius: 5)
[00:59:49] [worker #1] ML tree search #14, logLikelihood: -50429.432880
[01:00:28 -50417.361408] SLOW spr round 10 (radius: 10)
[01:01:13 -50417.361357] SLOW spr round 11 (radius: 15)
[01:02:02 -50417.361305] SLOW spr round 12 (radius: 20)
[01:02:42] [worker #2] ML tree search #15, logLikelihood: -50425.849898
[01:03:14 -50417.361254] SLOW spr round 13 (radius: 25)
[01:04:26 -50417.361202] Model parameter optimization (eps = 0.100000)

[01:04:28] [worker #0] ML tree search #13, logLikelihood: -50417.324709

[01:04:28 -231393.736992] Initial branch length optimization
[01:04:29 -174157.030824] Model parameter optimization (eps = 10.000000)
[01:04:46 -173425.505171] AUTODETECT spr round 1 (radius: 5)
[01:05:07 -98221.093983] AUTODETECT spr round 2 (radius: 10)
[01:05:34 -72289.913274] AUTODETECT spr round 3 (radius: 15)
[01:06:05 -60394.389137] AUTODETECT spr round 4 (radius: 20)
[01:06:41 -58224.593298] AUTODETECT spr round 5 (radius: 25)
[01:07:16 -58219.737704] SPR radius for FAST iterations: 25 (autodetect)
[01:07:16 -58219.737704] Model parameter optimization (eps = 3.000000)
[01:07:30 -57581.511144] FAST spr round 1 (radius: 25)
[01:08:04 -50763.014343] FAST spr round 2 (radius: 25)
[01:08:29 -50488.865121] FAST spr round 3 (radius: 25)
[01:08:49 -50447.144007] FAST spr round 4 (radius: 25)
[01:09:07 -50442.865422] FAST spr round 5 (radius: 25)
[01:09:23 -50442.864601] Model parameter optimization (eps = 1.000000)
[01:09:29 -50438.508917] SLOW spr round 1 (radius: 5)
[01:10:02 -50420.448001] SLOW spr round 2 (radius: 5)
[01:10:04] [worker #1] ML tree search #17, logLikelihood: -50427.421294
[01:10:34 -50420.447281] SLOW spr round 3 (radius: 10)
[01:11:03 -50420.446956] SLOW spr round 4 (radius: 15)
[01:11:55 -50420.446632] SLOW spr round 5 (radius: 20)
[01:13:04 -50420.446307] SLOW spr round 6 (radius: 25)
[01:13:06] [worker #2] ML tree search #18, logLikelihood: -50418.088732
[01:14:16 -50420.445982] Model parameter optimization (eps = 0.100000)

[01:14:19] [worker #0] ML tree search #16, logLikelihood: -50420.386536

[01:14:19 -229945.915129] Initial branch length optimization
[01:14:20 -172446.739228] Model parameter optimization (eps = 10.000000)
[01:14:36 -171919.823269] AUTODETECT spr round 1 (radius: 5)
[01:14:57 -99134.228302] AUTODETECT spr round 2 (radius: 10)
[01:15:25 -72719.212635] AUTODETECT spr round 3 (radius: 15)
[01:15:59 -61370.837046] AUTODETECT spr round 4 (radius: 20)
[01:16:35 -58523.159886] AUTODETECT spr round 5 (radius: 25)
[01:17:17 -57265.331069] SPR radius for FAST iterations: 25 (autodetect)
[01:17:17 -57265.331069] Model parameter optimization (eps = 3.000000)
[01:17:30 -56819.949073] FAST spr round 1 (radius: 25)
[01:18:03 -50969.284019] FAST spr round 2 (radius: 25)
[01:18:28 -50459.412402] FAST spr round 3 (radius: 25)
[01:18:50 -50445.060065] FAST spr round 4 (radius: 25)
[01:19:06 -50445.059632] Model parameter optimization (eps = 1.000000)
[01:19:13 -50439.681674] SLOW spr round 1 (radius: 5)
[01:19:45 -50430.992850] SLOW spr round 2 (radius: 5)
[01:20:14 -50430.992433] SLOW spr round 3 (radius: 10)
[01:20:32] [worker #1] ML tree search #20, logLikelihood: -50432.622363
[01:20:44 -50430.456080] SLOW spr round 4 (radius: 5)
[01:21:26 -50430.455160] SLOW spr round 5 (radius: 10)
[01:22:05 -50430.454809] SLOW spr round 6 (radius: 15)
[01:22:55 -50429.806127] SLOW spr round 7 (radius: 5)
[01:23:40 -50429.803317] SLOW spr round 8 (radius: 10)
[01:24:22 -50429.803288] SLOW spr round 9 (radius: 15)
[01:25:11 -50429.803259] SLOW spr round 10 (radius: 20)
[01:26:25 -50429.803229] SLOW spr round 11 (radius: 25)
[01:27:35 -50429.803199] Model parameter optimization (eps = 0.100000)

[01:27:38] [worker #0] ML tree search #19, logLikelihood: -50429.720303


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.108508,0.432593) (0.125342,1.569683) (0.358736,0.623640) (0.407414,1.307249) 
   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: -50414.357186

AIC score: 102030.714371 / AICc score: 825634.714371 / BIC score: 104566.093043
Free parameters (model + branch lengths): 601

WARNING: Number of free parameters (K=601) is larger than alignment size (n=502).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 70 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q9NYF8/3_mltree/Q9NYF8.raxml.log

Analysis started: 06-Jul-2021 18:53:10 / finished: 06-Jul-2021 20:20:49

Elapsed time: 5258.313 seconds

Consumed energy: 491.308 Wh (= 2 km in an electric car, or 12 km with an e-scooter!)