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 12:14:44 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/2_msa/P01877_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877 --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/P01877/2_msa/P01877_trimmed_msa.fasta
[00:00:00] Loaded alignment with 405 taxa and 294 sites

WARNING: Sequences tr_A0A2I3GHG6_A0A2I3GHG6_NOMLE_61853 and tr_A0A2I3H801_A0A2I3H801_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_A0A2I2YH49_A0A2I2YH49_GORGO_9595 and tr_A0A2I3RH44_A0A2I3RH44_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2YJV7_A0A2I2YJV7_GORGO_9595 and tr_A0A2I2YT83_A0A2I2YT83_GORGO_9595 are exactly identical!
WARNING: Sequences tr_A0A2I2YJV7_A0A2I2YJV7_GORGO_9595 and tr_A0A2I3RU66_A0A2I3RU66_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2YJV7_A0A2I2YJV7_GORGO_9595 and tr_A0A2R9AKH8_A0A2R9AKH8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2ZX49_A0A2I2ZX49_GORGO_9595 and tr_A0A2R8ZL01_A0A2R8ZL01_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3RR75_G3RR75_GORGO_9595 and tr_A0A2R9ASB8_A0A2R9ASB8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SEV9_G3SEV9_GORGO_9595 and tr_H2RGZ2_H2RGZ2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3SEV9_G3SEV9_GORGO_9595 and tr_A0A2R8ZIP7_A0A2R8ZIP7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RGQ2_A0A2I3RGQ2_PANTR_9598 and tr_A0A2R9ALL5_A0A2R9ALL5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3RU10_A0A2I3RU10_PANTR_9598 and tr_A0A2R9AJV4_A0A2R9AJV4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F6QQP0_F6QQP0_MACMU_9544 and tr_G7PHD3_G7PHD3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6QQP0_F6QQP0_MACMU_9544 and tr_A0A2I3NC97_A0A2I3NC97_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6QQP0_F6QQP0_MACMU_9544 and tr_A0A2K5NW12_A0A2K5NW12_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6QQP0_F6QQP0_MACMU_9544 and tr_A0A2K6AZT5_A0A2K6AZT5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6QQP0_F6QQP0_MACMU_9544 and tr_A0A2K5XM92_A0A2K5XM92_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0A0MY58_A0A0A0MY58_PIG_9823 and sp_P01846_LAC_PIG_9823 are exactly identical!
WARNING: Sequences tr_A0A096NEV9_A0A096NEV9_PAPAN_9555 and tr_A0A2K5XE80_A0A2K5XE80_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3MCZ4_A0A2I3MCZ4_PAPAN_9555 and tr_A0A2K6AWE3_A0A2K6AWE3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I3MCZ4_A0A2I3MCZ4_PAPAN_9555 and tr_A0A2K5XR48_A0A2K5XR48_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A2I3NH51_A0A2I3NH51_PAPAN_9555 and tr_A0A2K5M2U7_A0A2K5M2U7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2K5KWH0_A0A2K5KWH0_CERAT_9531 and tr_A0A2K6B4M2_A0A2K6B4M2_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2K5KWJ5_A0A2K5KWJ5_CERAT_9531 and tr_A0A2K5NVA9_A0A2K5NVA9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A2K5NVH7_A0A2K5NVH7_CERAT_9531 and tr_A0A2K6AWZ7_A0A2K6AWZ7_MACNE_9545 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/P01877/3_mltree/P01877.raxml.reduced.phy

Alignment comprises 1 partitions and 294 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 294 / 294
Gaps: 42.53 %
Invariant sites: 0.68 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877.raxml.rba

Parallelization scheme autoconfig: 6 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 405 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 294 / 23520
[00:00:00] Data distribution: max. searches per worker: 4

Starting ML tree search with 20 distinct starting trees

[00:00:00 -146861.495535] Initial branch length optimization
[00:00:02 -125736.680229] Model parameter optimization (eps = 10.000000)
[00:00:37 -125316.699821] AUTODETECT spr round 1 (radius: 5)
[00:01:14 -93548.138120] AUTODETECT spr round 2 (radius: 10)
[00:02:00 -74526.731751] AUTODETECT spr round 3 (radius: 15)
[00:03:00 -67037.643766] AUTODETECT spr round 4 (radius: 20)
[00:04:14 -65672.499320] AUTODETECT spr round 5 (radius: 25)
[00:05:38 -65271.492199] SPR radius for FAST iterations: 25 (autodetect)
[00:05:38 -65271.492199] Model parameter optimization (eps = 3.000000)
[00:05:52 -65179.630220] FAST spr round 1 (radius: 25)
[00:06:53 -59855.813456] FAST spr round 2 (radius: 25)
[00:07:37 -59528.404779] FAST spr round 3 (radius: 25)
[00:08:10 -59517.941633] FAST spr round 4 (radius: 25)
[00:08:40 -59514.315712] FAST spr round 5 (radius: 25)
[00:09:09 -59514.315666] Model parameter optimization (eps = 1.000000)
[00:09:18 -59509.252562] SLOW spr round 1 (radius: 5)
[00:10:11 -59491.539711] SLOW spr round 2 (radius: 5)
[00:11:04 -59479.592705] SLOW spr round 3 (radius: 5)
[00:11:53 -59475.721378] SLOW spr round 4 (radius: 5)
[00:12:42 -59474.044745] SLOW spr round 5 (radius: 5)
[00:13:28 -59474.044604] SLOW spr round 6 (radius: 10)
[00:14:19 -59473.993547] SLOW spr round 7 (radius: 15)
[00:16:04 -59473.993301] SLOW spr round 8 (radius: 20)
[00:18:12 -59473.993285] SLOW spr round 9 (radius: 25)
[00:20:28 -59462.375858] SLOW spr round 10 (radius: 5)
[00:21:44 -59462.375807] SLOW spr round 11 (radius: 10)
[00:22:53 -59462.375803] SLOW spr round 12 (radius: 15)
[00:24:06] [worker #2] ML tree search #3, logLikelihood: -59457.060046
[00:24:26 -59462.375800] SLOW spr round 13 (radius: 20)
[00:25:47] [worker #4] ML tree search #5, logLikelihood: -59453.350171
[00:26:39 -59462.375797] SLOW spr round 14 (radius: 25)
[00:26:51] [worker #5] ML tree search #6, logLikelihood: -59466.309406
[00:27:53] [worker #3] ML tree search #4, logLikelihood: -59473.733015
[00:27:59] [worker #1] ML tree search #2, logLikelihood: -59449.660450
[00:28:54 -59462.375793] Model parameter optimization (eps = 0.100000)

[00:29:01] [worker #0] ML tree search #1, logLikelihood: -59462.061466

[00:29:01 -143521.689764] Initial branch length optimization
[00:29:03 -123601.725338] Model parameter optimization (eps = 10.000000)
[00:29:33 -123213.941526] AUTODETECT spr round 1 (radius: 5)
[00:30:10 -93545.447832] AUTODETECT spr round 2 (radius: 10)
[00:31:00 -73389.681574] AUTODETECT spr round 3 (radius: 15)
[00:31:57 -68215.444770] AUTODETECT spr round 4 (radius: 20)
[00:33:13 -65705.776273] AUTODETECT spr round 5 (radius: 25)
[00:34:47 -65452.426202] SPR radius for FAST iterations: 25 (autodetect)
[00:34:47 -65452.426202] Model parameter optimization (eps = 3.000000)
[00:35:04 -65361.590138] FAST spr round 1 (radius: 25)
[00:35:57 -59747.439755] FAST spr round 2 (radius: 25)
[00:36:37 -59537.283507] FAST spr round 3 (radius: 25)
[00:37:11 -59531.306429] FAST spr round 4 (radius: 25)
[00:37:42 -59529.378175] FAST spr round 5 (radius: 25)
[00:38:11 -59529.376914] Model parameter optimization (eps = 1.000000)
[00:38:21 -59523.880541] SLOW spr round 1 (radius: 5)
[00:39:14 -59513.637425] SLOW spr round 2 (radius: 5)
[00:40:09 -59502.388863] SLOW spr round 3 (radius: 5)
[00:40:58 -59499.647855] SLOW spr round 4 (radius: 5)
[00:41:48 -59499.025864] SLOW spr round 5 (radius: 5)
[00:42:35 -59497.939208] SLOW spr round 6 (radius: 5)
[00:43:21 -59497.938913] SLOW spr round 7 (radius: 10)
[00:44:12 -59496.736125] SLOW spr round 8 (radius: 5)
[00:45:22 -59491.962979] SLOW spr round 9 (radius: 5)
[00:46:19 -59491.962481] SLOW spr round 10 (radius: 10)
[00:47:14 -59491.962409] SLOW spr round 11 (radius: 15)
[00:49:03 -59491.962386] SLOW spr round 12 (radius: 20)
[00:49:21] [worker #3] ML tree search #10, logLikelihood: -59440.765897
[00:51:17 -59491.962381] SLOW spr round 13 (radius: 25)
[00:51:23] [worker #1] ML tree search #8, logLikelihood: -59451.238834
[00:52:38] [worker #2] ML tree search #9, logLikelihood: -59450.245507
[00:53:40 -59491.962377] Model parameter optimization (eps = 0.100000)

[00:53:44] [worker #0] ML tree search #7, logLikelihood: -59491.916103

[00:53:44 -144933.619167] Initial branch length optimization
[00:53:46 -124426.880592] Model parameter optimization (eps = 10.000000)
[00:54:14 -124105.024991] AUTODETECT spr round 1 (radius: 5)
[00:54:18] [worker #5] ML tree search #12, logLikelihood: -59459.869622
[00:54:51 -91880.635299] AUTODETECT spr round 2 (radius: 10)
[00:55:38 -72794.658522] AUTODETECT spr round 3 (radius: 15)
[00:56:32 -68321.379253] AUTODETECT spr round 4 (radius: 20)
[00:57:56 -65551.711420] AUTODETECT spr round 5 (radius: 25)
[00:58:10] [worker #4] ML tree search #11, logLikelihood: -59443.445552
[00:59:20 -64847.013410] SPR radius for FAST iterations: 25 (autodetect)
[00:59:20 -64847.013410] Model parameter optimization (eps = 3.000000)
[00:59:32 -64723.132626] FAST spr round 1 (radius: 25)
[01:00:30 -59906.744037] FAST spr round 2 (radius: 25)
[01:01:15 -59532.570696] FAST spr round 3 (radius: 25)
[01:01:51 -59509.697117] FAST spr round 4 (radius: 25)
[01:02:22 -59502.026476] FAST spr round 5 (radius: 25)
[01:02:52 -59499.176518] FAST spr round 6 (radius: 25)
[01:03:22 -59496.382587] FAST spr round 7 (radius: 25)
[01:03:51 -59496.381586] Model parameter optimization (eps = 1.000000)
[01:04:04 -59487.966756] SLOW spr round 1 (radius: 5)
[01:04:59 -59471.404242] SLOW spr round 2 (radius: 5)
[01:05:51 -59468.147325] SLOW spr round 3 (radius: 5)
[01:06:39 -59468.146985] SLOW spr round 4 (radius: 10)
[01:07:31 -59466.956000] SLOW spr round 5 (radius: 5)
[01:08:42 -59466.908996] SLOW spr round 6 (radius: 10)
[01:09:44 -59466.352984] SLOW spr round 7 (radius: 5)
[01:10:53 -59465.664428] SLOW spr round 8 (radius: 5)
[01:11:51 -59465.663295] SLOW spr round 9 (radius: 10)
[01:12:44 -59465.663223] SLOW spr round 10 (radius: 15)
[01:12:50] [worker #3] ML tree search #16, logLikelihood: -59457.204151
[01:14:24 -59465.663209] SLOW spr round 11 (radius: 20)
[01:14:27] [worker #1] ML tree search #14, logLikelihood: -59492.319808
[01:16:42 -59465.663195] SLOW spr round 12 (radius: 25)
[01:19:10 -59464.365351] SLOW spr round 13 (radius: 5)
[01:20:06] [worker #2] ML tree search #15, logLikelihood: -59453.269521
[01:20:27 -59464.365243] SLOW spr round 14 (radius: 10)
[01:21:35 -59464.365235] SLOW spr round 15 (radius: 15)
[01:23:08 -59464.365230] SLOW spr round 16 (radius: 20)
[01:25:28 -59464.365226] SLOW spr round 17 (radius: 25)
[01:27:55 -59464.365221] Model parameter optimization (eps = 0.100000)

[01:28:01] [worker #0] ML tree search #13, logLikelihood: -59464.059483

[01:28:01 -146045.421669] Initial branch length optimization
[01:28:01] [worker #4] ML tree search #17, logLikelihood: -59443.499329
[01:28:03 -124026.438712] Model parameter optimization (eps = 10.000000)
[01:28:20] [worker #5] ML tree search #18, logLikelihood: -59497.831186
[01:28:35 -123603.205396] AUTODETECT spr round 1 (radius: 5)
[01:29:12 -95259.563880] AUTODETECT spr round 2 (radius: 10)
[01:29:59 -77473.552851] AUTODETECT spr round 3 (radius: 15)
[01:30:57 -68350.032098] AUTODETECT spr round 4 (radius: 20)
[01:32:37 -66100.655836] AUTODETECT spr round 5 (radius: 25)
[01:34:17 -66026.394918] SPR radius for FAST iterations: 25 (autodetect)
[01:34:17 -66026.394918] Model parameter optimization (eps = 3.000000)
[01:34:33 -65901.283801] FAST spr round 1 (radius: 25)
[01:35:30 -59828.429469] FAST spr round 2 (radius: 25)
[01:36:02] [worker #1] ML tree search #20, logLikelihood: -59458.064345
[01:36:12 -59607.619269] FAST spr round 3 (radius: 25)
[01:36:49 -59579.896702] FAST spr round 4 (radius: 25)
[01:37:18 -59579.879074] Model parameter optimization (eps = 1.000000)
[01:37:30 -59570.428083] SLOW spr round 1 (radius: 5)
[01:38:23 -59559.465993] SLOW spr round 2 (radius: 5)
[01:39:14 -59547.270225] SLOW spr round 3 (radius: 5)
[01:40:02 -59547.028850] SLOW spr round 4 (radius: 5)
[01:40:49 -59547.027605] SLOW spr round 5 (radius: 10)
[01:41:40 -59538.647975] SLOW spr round 6 (radius: 5)
[01:42:52 -59472.736503] SLOW spr round 7 (radius: 5)
[01:43:50 -59467.455945] SLOW spr round 8 (radius: 5)
[01:44:40 -59467.454477] SLOW spr round 9 (radius: 10)
[01:45:31 -59463.731184] SLOW spr round 10 (radius: 5)
[01:46:38 -59463.070907] SLOW spr round 11 (radius: 5)
[01:47:33 -59463.070903] SLOW spr round 12 (radius: 10)
[01:48:27 -59462.265056] SLOW spr round 13 (radius: 5)
[01:49:33 -59450.284228] SLOW spr round 14 (radius: 5)
[01:50:28 -59450.284220] SLOW spr round 15 (radius: 10)
[01:51:21 -59450.148212] SLOW spr round 16 (radius: 5)
[01:52:23 -59450.147413] SLOW spr round 17 (radius: 10)
[01:53:20 -59450.147327] SLOW spr round 18 (radius: 15)
[01:54:53 -59449.181263] SLOW spr round 19 (radius: 5)
[01:56:03 -59448.889839] SLOW spr round 20 (radius: 5)
[01:57:01 -59448.889747] SLOW spr round 21 (radius: 10)
[01:57:54 -59448.889746] SLOW spr round 22 (radius: 15)
[01:59:27 -59448.889746] SLOW spr round 23 (radius: 20)
[02:01:27 -59448.889746] SLOW spr round 24 (radius: 25)
[02:03:36 -59448.889746] Model parameter optimization (eps = 0.100000)

[02:03:41] [worker #0] ML tree search #19, logLikelihood: -59448.713484


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.086550,0.368991) (0.054995,0.385435) (0.497655,0.825816) (0.360800,1.485298) 
   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: -59440.765897

AIC score: 120507.531795 / AICc score: 1444071.531795 / BIC score: 123502.282146
Free parameters (model + branch lengths): 813

WARNING: Number of free parameters (K=813) is larger than alignment size (n=294).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 27 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P01877/3_mltree/P01877.raxml.log

Analysis started: 06-Jul-2021 12:14:44 / finished: 06-Jul-2021 14:18:26

Elapsed time: 7421.469 seconds

Consumed energy: 461.564 Wh (= 2 km in an electric car, or 12 km with an e-scooter!)