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

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

RAxML-NG was called at 14-Jul-2021 11:20:23 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/2_msa/P20929_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/3_mltree/P20929 --seed 2 --threads 11 --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 (11 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/2_msa/P20929_trimmed_msa.fasta
[00:00:00] Loaded alignment with 726 taxa and 7222 sites

WARNING: Sequences tr_G3QLF9_G3QLF9_GORGO_9595 and sp_Q5R5W0_LASP1_PONAB_9601 are exactly identical!
WARNING: Sequences tr_H2R1V0_H2R1V0_PANTR_9598 and sp_Q14847_LASP1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2R1V0_H2R1V0_PANTR_9598 and tr_A0A2R8Z9S7_A0A2R8Z9S7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A158NSB5_A0A158NSB5_ATTCE_12957 and tr_A0A151I2B2_A0A151I2B2_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A158NSB5_A0A158NSB5_ATTCE_12957 and tr_A0A195D5A5_A0A195D5A5_9HYME_456900 are exactly identical!
WARNING: Sequences tr_F7CPT5_F7CPT5_MACMU_9544 and tr_A0A096P590_A0A096P590_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7CPT5_F7CPT5_MACMU_9544 and tr_A0A2K5ML38_A0A2K5ML38_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7CPT5_F7CPT5_MACMU_9544 and tr_A0A2K6DCU5_A0A2K6DCU5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_E3MI10_E3MI10_CAERE_31234 and tr_A0A261BKJ0_A0A261BKJ0_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_A0A091V4G9_A0A091V4G9_NIPNI_128390 and tr_A0A087QUA3_A0A087QUA3_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A0V1DCH0_A0A0V1DCH0_TRIBR_45882 and tr_A0A0V1LV41_A0A0V1LV41_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V1DCH0_A0A0V1DCH0_TRIBR_45882 and tr_A0A0V0UB09_A0A0V0UB09_9BILA_144512 are exactly identical!
WARNING: Duplicate sequences found: 12

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/P20929/3_mltree/P20929.raxml.reduced.phy

Alignment comprises 1 partitions and 7066 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 7222 / 7066
Gaps: 83.19 %
Invariant sites: 11.01 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/3_mltree/P20929.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 11 thread(s)

Parallel reduction/worker buffer size: 1 KB  / 0 KB

[00:00:00] Generating 20 random starting tree(s) with 726 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 643 / 51440
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1331471.760375] Initial branch length optimization
[00:00:18 -1080733.414295] Model parameter optimization (eps = 10.000000)
[00:03:30 -1077895.741208] AUTODETECT spr round 1 (radius: 5)
[00:07:18 -750938.167317] AUTODETECT spr round 2 (radius: 10)
[00:11:48 -582700.889296] AUTODETECT spr round 3 (radius: 15)
[00:16:54 -510930.968981] AUTODETECT spr round 4 (radius: 20)
[00:22:54 -483531.306879] AUTODETECT spr round 5 (radius: 25)
[00:29:47 -480820.222330] SPR radius for FAST iterations: 25 (autodetect)
[00:29:47 -480820.222330] Model parameter optimization (eps = 3.000000)
[00:31:21 -478117.388079] FAST spr round 1 (radius: 25)
[00:39:06 -441345.838915] FAST spr round 2 (radius: 25)
[00:44:47 -440129.635929] FAST spr round 3 (radius: 25)
[00:49:07 -440032.070295] FAST spr round 4 (radius: 25)
[00:52:31 -440018.668672] FAST spr round 5 (radius: 25)
[00:55:33 -440011.308361] FAST spr round 6 (radius: 25)
[00:58:29 -440001.511944] FAST spr round 7 (radius: 25)
[01:01:02 -440001.480575] Model parameter optimization (eps = 1.000000)
[01:01:44 -439978.056841] SLOW spr round 1 (radius: 5)
[01:06:28 -439903.878536] SLOW spr round 2 (radius: 5)
[01:10:54 -439899.845191] SLOW spr round 3 (radius: 5)
[01:15:05 -439899.768858] SLOW spr round 4 (radius: 10)
[01:19:44 -439899.414213] SLOW spr round 5 (radius: 5)
[01:25:28 -439899.403049] SLOW spr round 6 (radius: 10)
[01:31:24 -439899.402465] SLOW spr round 7 (radius: 15)
[01:41:35 -439899.401891] SLOW spr round 8 (radius: 20)
[02:00:11 -439899.401326] SLOW spr round 9 (radius: 25)
[02:27:53 -439899.400769] Model parameter optimization (eps = 0.100000)

[02:28:02] ML tree search #1, logLikelihood: -439899.386767

[02:28:02 -1350882.931443] Initial branch length optimization
[02:28:18 -1091685.375703] Model parameter optimization (eps = 10.000000)
[02:31:50 -1088903.799096] AUTODETECT spr round 1 (radius: 5)
[02:35:36 -738572.963305] AUTODETECT spr round 2 (radius: 10)
[02:39:55 -557937.298995] AUTODETECT spr round 3 (radius: 15)
[02:44:53 -516465.291947] AUTODETECT spr round 4 (radius: 20)
[02:50:41 -481021.675496] AUTODETECT spr round 5 (radius: 25)
[02:57:56 -477778.050759] SPR radius for FAST iterations: 25 (autodetect)
[02:57:56 -477778.050759] Model parameter optimization (eps = 3.000000)
[02:59:18 -475052.332729] FAST spr round 1 (radius: 25)
[03:07:39 -441370.166945] FAST spr round 2 (radius: 25)
[03:13:36 -440129.239691] FAST spr round 3 (radius: 25)
[03:17:56 -440022.815542] FAST spr round 4 (radius: 25)
[03:21:06 -440009.966973] FAST spr round 5 (radius: 25)
[03:23:50 -440009.349699] FAST spr round 6 (radius: 25)
[03:26:25 -440009.346656] Model parameter optimization (eps = 1.000000)
[03:26:58 -439997.656425] SLOW spr round 1 (radius: 5)
[03:31:46 -439927.672658] SLOW spr round 2 (radius: 5)
[03:36:04 -439924.288713] SLOW spr round 3 (radius: 5)
[03:40:18 -439921.477575] SLOW spr round 4 (radius: 5)
[03:44:26 -439921.475681] SLOW spr round 5 (radius: 10)
[03:49:12 -439920.682300] SLOW spr round 6 (radius: 5)
[03:54:57 -439918.401347] SLOW spr round 7 (radius: 5)
[03:59:49 -439917.025721] SLOW spr round 8 (radius: 5)
[04:04:14 -439917.023907] SLOW spr round 9 (radius: 10)
[04:09:05 -439916.639157] SLOW spr round 10 (radius: 5)
[04:14:43 -439916.638362] SLOW spr round 11 (radius: 10)
[04:20:49 -439916.637681] SLOW spr round 12 (radius: 15)
[04:31:10 -439916.637068] SLOW spr round 13 (radius: 20)
[04:49:59 -439916.636496] SLOW spr round 14 (radius: 25)
[05:18:41 -439916.635949] Model parameter optimization (eps = 0.100000)

[05:18:56] ML tree search #2, logLikelihood: -439916.489434

[05:18:56 -1336199.529334] Initial branch length optimization
[05:19:14 -1079003.139648] Model parameter optimization (eps = 10.000000)
[05:22:35 -1076133.242829] AUTODETECT spr round 1 (radius: 5)
[05:26:29 -758218.530531] AUTODETECT spr round 2 (radius: 10)
[05:30:52 -583793.548016] AUTODETECT spr round 3 (radius: 15)
[05:36:02 -521513.191239] AUTODETECT spr round 4 (radius: 20)
[05:41:59 -482407.051840] AUTODETECT spr round 5 (radius: 25)
[05:48:41 -478100.253987] SPR radius for FAST iterations: 25 (autodetect)
[05:48:41 -478100.253987] Model parameter optimization (eps = 3.000000)
[05:50:34 -475538.068004] FAST spr round 1 (radius: 25)
[05:58:44 -441927.301034] FAST spr round 2 (radius: 25)
[06:04:14 -440163.995775] FAST spr round 3 (radius: 25)
[06:08:19 -440073.109676] FAST spr round 4 (radius: 25)
[06:11:27 -440059.070132] FAST spr round 5 (radius: 25)
[06:14:12 -440057.316193] FAST spr round 6 (radius: 25)
[06:16:46 -440057.315272] Model parameter optimization (eps = 1.000000)
[06:17:27 -440035.302516] SLOW spr round 1 (radius: 5)
[06:22:06 -439936.426841] SLOW spr round 2 (radius: 5)
[06:26:30 -439931.900142] SLOW spr round 3 (radius: 5)
[06:30:43 -439931.888813] SLOW spr round 4 (radius: 10)
[06:35:25 -439931.888161] SLOW spr round 5 (radius: 15)
[06:47:05 -439931.887513] SLOW spr round 6 (radius: 20)
[07:06:03 -439931.886868] SLOW spr round 7 (radius: 25)
[07:35:18 -439931.886226] Model parameter optimization (eps = 0.100000)

[07:35:34] ML tree search #3, logLikelihood: -439931.743464

[07:35:35 -1342307.714118] Initial branch length optimization
[07:35:50 -1087559.348452] Model parameter optimization (eps = 10.000000)
[07:38:49 -1084823.158579] AUTODETECT spr round 1 (radius: 5)
[07:42:41 -744256.913448] AUTODETECT spr round 2 (radius: 10)
[07:47:09 -561595.210598] AUTODETECT spr round 3 (radius: 15)
[07:52:17 -509469.685261] AUTODETECT spr round 4 (radius: 20)
[07:59:13 -480573.228879] AUTODETECT spr round 5 (radius: 25)
[08:06:15 -477066.552212] SPR radius for FAST iterations: 25 (autodetect)
[08:06:15 -477066.552212] Model parameter optimization (eps = 3.000000)
[08:07:40 -474055.627030] FAST spr round 1 (radius: 25)
[08:15:57 -441956.295728] FAST spr round 2 (radius: 25)
[08:22:01 -440344.408592] FAST spr round 3 (radius: 25)
[08:26:24 -440243.467198] FAST spr round 4 (radius: 25)
[08:30:02 -440169.955636] FAST spr round 5 (radius: 25)
[08:33:15 -440118.494110] FAST spr round 6 (radius: 25)
[08:36:06 -440075.315811] FAST spr round 7 (radius: 25)
[08:38:38 -440072.730917] FAST spr round 8 (radius: 25)
[08:41:09 -440069.625293] FAST spr round 9 (radius: 25)
[08:43:37 -440069.623831] Model parameter optimization (eps = 1.000000)
[08:44:16 -440051.298298] SLOW spr round 1 (radius: 5)
[08:48:41 -439906.226697] SLOW spr round 2 (radius: 5)
[08:53:01 -439898.649373] SLOW spr round 3 (radius: 5)
[08:57:14 -439896.202628] SLOW spr round 4 (radius: 5)
[09:01:22 -439896.201794] SLOW spr round 5 (radius: 10)
[09:06:00 -439895.530139] SLOW spr round 6 (radius: 5)
[09:11:42 -439895.529283] SLOW spr round 7 (radius: 10)
[09:17:34 -439895.528735] SLOW spr round 8 (radius: 15)
[09:27:44 -439895.528209] SLOW spr round 9 (radius: 20)
[09:47:03 -439895.527687] SLOW spr round 10 (radius: 25)
[10:15:22 -439895.527168] Model parameter optimization (eps = 0.100000)

[10:15:41] ML tree search #4, logLikelihood: -439895.357648

[10:15:41 -1344891.937344] Initial branch length optimization
[10:15:55 -1077193.466989] Model parameter optimization (eps = 10.000000)
[10:19:16 -1074047.234655] AUTODETECT spr round 1 (radius: 5)
[10:23:14 -755584.633430] AUTODETECT spr round 2 (radius: 10)
[10:27:44 -574425.488117] AUTODETECT spr round 3 (radius: 15)
[10:33:03 -506661.128679] AUTODETECT spr round 4 (radius: 20)
[10:38:41 -486855.657870] AUTODETECT spr round 5 (radius: 25)
[10:45:00 -485115.438147] SPR radius for FAST iterations: 25 (autodetect)
[10:45:00 -485115.438147] Model parameter optimization (eps = 3.000000)
[10:46:30 -482947.697476] FAST spr round 1 (radius: 25)
[10:55:40 -441711.959916] FAST spr round 2 (radius: 25)
[11:01:44 -440218.595191] FAST spr round 3 (radius: 25)
[11:06:15 -440087.464716] FAST spr round 4 (radius: 25)
[11:09:31 -440058.787494] FAST spr round 5 (radius: 25)
[11:12:19 -440038.154029] FAST spr round 6 (radius: 25)
[11:14:56 -440029.691171] FAST spr round 7 (radius: 25)
[11:17:26 -440029.690103] Model parameter optimization (eps = 1.000000)
[11:18:03 -440005.254982] SLOW spr round 1 (radius: 5)
[11:22:39 -439936.491422] SLOW spr round 2 (radius: 5)
[11:27:01 -439933.897843] SLOW spr round 3 (radius: 5)
[11:31:13 -439933.870919] SLOW spr round 4 (radius: 10)
[11:35:55 -439932.857598] SLOW spr round 5 (radius: 5)
[11:41:42 -439932.320963] SLOW spr round 6 (radius: 5)
[11:46:32 -439932.320164] SLOW spr round 7 (radius: 10)
[11:51:38 -439932.319474] SLOW spr round 8 (radius: 15)
[12:02:40 -439932.318854] SLOW spr round 9 (radius: 20)
[12:21:26 -439932.318279] SLOW spr round 10 (radius: 25)
[12:50:10 -439932.317735] Model parameter optimization (eps = 0.100000)

[12:50:19] ML tree search #5, logLikelihood: -439932.259585

[12:50:19 -1310812.457019] Initial branch length optimization
[12:50:37 -1065720.419985] Model parameter optimization (eps = 10.000000)
[12:54:19 -1062490.956140] AUTODETECT spr round 1 (radius: 5)
[12:58:10 -745827.567343] AUTODETECT spr round 2 (radius: 10)
[13:02:35 -573878.531784] AUTODETECT spr round 3 (radius: 15)
[13:08:09 -502550.753139] AUTODETECT spr round 4 (radius: 20)
[13:14:42 -479678.257027] AUTODETECT spr round 5 (radius: 25)
[13:20:44 -473851.502289] SPR radius for FAST iterations: 25 (autodetect)
[13:20:44 -473851.502289] Model parameter optimization (eps = 3.000000)
[13:22:26 -471839.203041] FAST spr round 1 (radius: 25)
[13:29:32 -441253.626819] FAST spr round 2 (radius: 25)
[13:34:59 -440148.123352] FAST spr round 3 (radius: 25)
[13:39:14 -440053.327410] FAST spr round 4 (radius: 25)
[13:42:27 -440034.098392] FAST spr round 5 (radius: 25)
[13:45:20 -440031.246135] FAST spr round 6 (radius: 25)
[13:47:56 -440031.140653] FAST spr round 7 (radius: 25)
[13:50:29 -440031.139582] Model parameter optimization (eps = 1.000000)
[13:51:10 -440015.747187] SLOW spr round 1 (radius: 5)
[13:55:46 -439910.976883] SLOW spr round 2 (radius: 5)
[14:00:12 -439907.908527] SLOW spr round 3 (radius: 5)
[14:04:20 -439907.880960] SLOW spr round 4 (radius: 10)
[14:08:59 -439907.880174] SLOW spr round 5 (radius: 15)
[14:20:56 -439907.879403] SLOW spr round 6 (radius: 20)
[14:39:38 -439907.878646] SLOW spr round 7 (radius: 25)
[15:08:27 -439907.877901] Model parameter optimization (eps = 0.100000)

[15:08:44] ML tree search #6, logLikelihood: -439907.698994

[15:08:44 -1330408.956708] Initial branch length optimization
[15:08:59 -1071034.810963] Model parameter optimization (eps = 10.000000)
[15:12:48 -1067662.931122] AUTODETECT spr round 1 (radius: 5)
[15:16:32 -762571.921388] AUTODETECT spr round 2 (radius: 10)
[15:20:44 -572140.199211] AUTODETECT spr round 3 (radius: 15)
[15:25:52 -502254.862839] AUTODETECT spr round 4 (radius: 20)
[15:31:30 -477050.024827] AUTODETECT spr round 5 (radius: 25)
[15:37:41 -475543.744065] SPR radius for FAST iterations: 25 (autodetect)
[15:37:41 -475543.744065] Model parameter optimization (eps = 3.000000)
[15:39:14 -473489.011005] FAST spr round 1 (radius: 25)
[15:47:20 -441389.597317] FAST spr round 2 (radius: 25)
[15:53:07 -440116.868466] FAST spr round 3 (radius: 25)
[15:57:31 -440055.080545] FAST spr round 4 (radius: 25)
[16:01:00 -440033.552522] FAST spr round 5 (radius: 25)
[16:03:44 -440032.033582] FAST spr round 6 (radius: 25)
[16:06:19 -440032.032970] Model parameter optimization (eps = 1.000000)
[16:06:45 -440014.934033] SLOW spr round 1 (radius: 5)
[16:11:31 -439944.981707] SLOW spr round 2 (radius: 5)
[16:16:05 -439941.490008] SLOW spr round 3 (radius: 5)
[16:20:20 -439941.180873] SLOW spr round 4 (radius: 5)
[16:24:33 -439941.175931] SLOW spr round 5 (radius: 10)
[16:29:21 -439940.399518] SLOW spr round 6 (radius: 5)
[16:35:06 -439938.629303] SLOW spr round 7 (radius: 5)
[16:40:05 -439936.803935] SLOW spr round 8 (radius: 5)
[16:44:31 -439936.803572] SLOW spr round 9 (radius: 10)
[16:49:22 -439936.803355] SLOW spr round 10 (radius: 15)
[17:01:15 -439936.803224] SLOW spr round 11 (radius: 20)
[17:20:26 -439936.803145] SLOW spr round 12 (radius: 25)
[17:50:14 -439936.803097] Model parameter optimization (eps = 0.100000)

[17:50:27] ML tree search #7, logLikelihood: -439936.670307

[17:50:27 -1330005.128391] Initial branch length optimization
[17:50:42 -1064901.881672] Model parameter optimization (eps = 10.000000)
[17:53:29 -1061536.724397] AUTODETECT spr round 1 (radius: 5)
[17:57:15 -746565.411552] AUTODETECT spr round 2 (radius: 10)
[18:01:34 -569634.465471] AUTODETECT spr round 3 (radius: 15)
[18:06:41 -507353.097087] AUTODETECT spr round 4 (radius: 20)
[18:13:06 -481378.819082] AUTODETECT spr round 5 (radius: 25)
[18:21:21 -477430.786792] SPR radius for FAST iterations: 25 (autodetect)
[18:21:21 -477430.786792] Model parameter optimization (eps = 3.000000)
[18:22:42 -475471.439770] FAST spr round 1 (radius: 25)
[18:31:18 -441467.491872] FAST spr round 2 (radius: 25)
[18:36:53 -440207.436224] FAST spr round 3 (radius: 25)
[18:41:05 -440128.324409] FAST spr round 4 (radius: 25)
[18:44:53 -440068.771824] FAST spr round 5 (radius: 25)
[18:47:49 -440056.279958] FAST spr round 6 (radius: 25)
[18:50:24 -440052.779128] FAST spr round 7 (radius: 25)
[18:52:54 -440052.778434] Model parameter optimization (eps = 1.000000)
[18:53:32 -440033.871251] SLOW spr round 1 (radius: 5)
[18:58:02 -439929.279411] SLOW spr round 2 (radius: 5)
[19:02:26 -439926.893977] SLOW spr round 3 (radius: 5)
[19:06:43 -439924.361932] SLOW spr round 4 (radius: 5)
[19:10:52 -439924.350448] SLOW spr round 5 (radius: 10)
[19:15:30 -439924.349830] SLOW spr round 6 (radius: 15)
[19:27:30 -439924.349240] SLOW spr round 7 (radius: 20)
[19:46:01 -439924.348672] SLOW spr round 8 (radius: 25)
[20:14:41 -439924.348121] Model parameter optimization (eps = 0.100000)

[20:15:05] ML tree search #8, logLikelihood: -439924.077541

[20:15:05 -1328734.328299] Initial branch length optimization
[20:15:21 -1074944.459384] Model parameter optimization (eps = 10.000000)
[20:18:22 -1072226.799022] AUTODETECT spr round 1 (radius: 5)
[20:22:10 -758865.428623] AUTODETECT spr round 2 (radius: 10)
[20:26:41 -580344.375783] AUTODETECT spr round 3 (radius: 15)
[20:31:43 -518580.747135] AUTODETECT spr round 4 (radius: 20)
[20:37:32 -490863.094064] AUTODETECT spr round 5 (radius: 25)
[20:44:36 -484665.492394] SPR radius for FAST iterations: 25 (autodetect)
[20:44:36 -484665.492394] Model parameter optimization (eps = 3.000000)
[20:46:00 -482170.124004] FAST spr round 1 (radius: 25)
[20:54:30 -441223.014876] FAST spr round 2 (radius: 25)
[21:00:28 -440059.673405] FAST spr round 3 (radius: 25)
[21:04:57 -439978.310953] FAST spr round 4 (radius: 25)
[21:08:26 -439964.220501] FAST spr round 5 (radius: 25)
[21:11:05 -439963.903573] FAST spr round 6 (radius: 25)
[21:13:38 -439963.901325] Model parameter optimization (eps = 1.000000)
[21:14:14 -439945.798688] SLOW spr round 1 (radius: 5)
[21:18:49 -439902.853702] SLOW spr round 2 (radius: 5)
[21:23:05 -439901.664928] SLOW spr round 3 (radius: 5)
[21:27:14 -439901.638734] SLOW spr round 4 (radius: 10)
[21:31:51 -439900.853293] SLOW spr round 5 (radius: 5)
[21:37:30 -439900.836687] SLOW spr round 6 (radius: 10)
[21:43:26 -439900.834509] SLOW spr round 7 (radius: 15)
[21:53:24 -439900.832854] SLOW spr round 8 (radius: 20)
[22:12:20 -439900.831562] SLOW spr round 9 (radius: 25)
[22:41:09 -439900.830518] Model parameter optimization (eps = 0.100000)

[22:41:18] ML tree search #9, logLikelihood: -439900.788924

[22:41:19 -1345691.590513] Initial branch length optimization
[22:41:37 -1078498.767304] Model parameter optimization (eps = 10.000000)
[22:45:22 -1075421.540457] AUTODETECT spr round 1 (radius: 5)
[22:49:17 -757051.287711] AUTODETECT spr round 2 (radius: 10)
[22:53:36 -614076.307049] AUTODETECT spr round 3 (radius: 15)
[22:59:12 -530770.630536] AUTODETECT spr round 4 (radius: 20)
[23:05:09 -491200.817032] AUTODETECT spr round 5 (radius: 25)
[23:13:51 -486750.164361] SPR radius for FAST iterations: 25 (autodetect)
[23:13:51 -486750.164361] Model parameter optimization (eps = 3.000000)
[23:15:05 -484696.804387] FAST spr round 1 (radius: 25)
[23:23:55 -442051.148717] FAST spr round 2 (radius: 25)
[23:29:50 -440140.435661] FAST spr round 3 (radius: 25)
[23:34:21 -440041.569070] FAST spr round 4 (radius: 25)
[23:37:44 -440031.528050] FAST spr round 5 (radius: 25)
[23:40:32 -440029.436660] FAST spr round 6 (radius: 25)
[23:43:22 -440025.856402] FAST spr round 7 (radius: 25)
[23:45:52 -440025.842494] Model parameter optimization (eps = 1.000000)
[23:46:35 -439998.448845] SLOW spr round 1 (radius: 5)
[23:51:19 -439918.785676] SLOW spr round 2 (radius: 5)
[23:55:54 -439910.075280] SLOW spr round 3 (radius: 5)
[24:00:04 -439910.066788] SLOW spr round 4 (radius: 10)
[24:04:42 -439910.059864] SLOW spr round 5 (radius: 15)
[24:16:25 -439910.054078] SLOW spr round 6 (radius: 20)
[24:34:32 -439910.049226] SLOW spr round 7 (radius: 25)
[25:02:24 -439910.045144] Model parameter optimization (eps = 0.100000)

[25:02:38] ML tree search #10, logLikelihood: -439909.985036

[25:02:38 -1322256.968137] Initial branch length optimization
[25:02:52 -1059815.538646] Model parameter optimization (eps = 10.000000)
[25:06:22 -1056357.114546] AUTODETECT spr round 1 (radius: 5)
[25:10:13 -756403.559429] AUTODETECT spr round 2 (radius: 10)
[25:14:38 -572195.672671] AUTODETECT spr round 3 (radius: 15)
[25:19:39 -510044.214436] AUTODETECT spr round 4 (radius: 20)
[25:25:39 -487146.284281] AUTODETECT spr round 5 (radius: 25)
[25:32:07 -480527.194507] SPR radius for FAST iterations: 25 (autodetect)
[25:32:07 -480527.194507] Model parameter optimization (eps = 3.000000)
[25:33:31 -478757.879080] FAST spr round 1 (radius: 25)
[25:42:21 -441604.269204] FAST spr round 2 (radius: 25)
[25:48:12 -440102.459672] FAST spr round 3 (radius: 25)
[25:52:16 -440061.076391] FAST spr round 4 (radius: 25)
[25:55:30 -440048.729511] FAST spr round 5 (radius: 25)
[25:58:11 -440048.715648] Model parameter optimization (eps = 1.000000)
[25:58:45 -440038.083371] SLOW spr round 1 (radius: 5)
[26:03:28 -439910.274281] SLOW spr round 2 (radius: 5)
[26:07:51 -439906.646120] SLOW spr round 3 (radius: 5)
[26:12:04 -439906.645206] SLOW spr round 4 (radius: 10)
[26:16:42 -439906.644360] SLOW spr round 5 (radius: 15)
[26:28:42 -439906.643542] SLOW spr round 6 (radius: 20)
[26:47:45 -439906.642750] SLOW spr round 7 (radius: 25)
[27:17:20 -439906.641981] Model parameter optimization (eps = 0.100000)

[27:17:45] ML tree search #11, logLikelihood: -439906.294291

[27:17:45 -1338216.296126] Initial branch length optimization
[27:18:02 -1074326.164788] Model parameter optimization (eps = 10.000000)
[27:21:37 -1071041.213799] AUTODETECT spr round 1 (radius: 5)
[27:25:23 -775865.621075] AUTODETECT spr round 2 (radius: 10)
[27:29:45 -581980.321800] AUTODETECT spr round 3 (radius: 15)
[27:34:46 -506975.698724] AUTODETECT spr round 4 (radius: 20)
[27:40:13 -484253.807611] AUTODETECT spr round 5 (radius: 25)
[27:46:07 -478940.607080] SPR radius for FAST iterations: 25 (autodetect)
[27:46:07 -478940.607080] Model parameter optimization (eps = 3.000000)
[27:47:31 -476914.720835] FAST spr round 1 (radius: 25)
[27:56:02 -441890.259610] FAST spr round 2 (radius: 25)
[28:02:02 -440239.517657] FAST spr round 3 (radius: 25)
[28:06:40 -440031.450485] FAST spr round 4 (radius: 25)
[28:10:06 -440005.337852] FAST spr round 5 (radius: 25)
[28:12:46 -440005.325553] Model parameter optimization (eps = 1.000000)
[28:13:24 -439986.231295] SLOW spr round 1 (radius: 5)
[28:18:08 -439934.104010] SLOW spr round 2 (radius: 5)
[28:22:29 -439932.764734] SLOW spr round 3 (radius: 5)
[28:26:42 -439932.722111] SLOW spr round 4 (radius: 10)
[28:31:25 -439932.401294] SLOW spr round 5 (radius: 5)
[28:37:10 -439932.399827] SLOW spr round 6 (radius: 10)
[28:43:16 -439932.399147] SLOW spr round 7 (radius: 15)
[28:53:57 -439932.398565] SLOW spr round 8 (radius: 20)
[29:14:29 -439932.398018] SLOW spr round 9 (radius: 25)
[29:44:31 -439932.397493] Model parameter optimization (eps = 0.100000)

[29:44:43] ML tree search #12, logLikelihood: -439932.333333

[29:44:43 -1339088.036670] Initial branch length optimization
[29:44:59 -1091102.284719] Model parameter optimization (eps = 10.000000)
[29:48:00 -1088373.316890] AUTODETECT spr round 1 (radius: 5)
[29:51:46 -763453.961429] AUTODETECT spr round 2 (radius: 10)
[29:56:12 -597947.527503] AUTODETECT spr round 3 (radius: 15)
[30:01:23 -526867.926135] AUTODETECT spr round 4 (radius: 20)
[30:06:53 -496082.017165] AUTODETECT spr round 5 (radius: 25)
[30:13:12 -489822.420594] SPR radius for FAST iterations: 25 (autodetect)
[30:13:12 -489822.420594] Model parameter optimization (eps = 3.000000)
[30:14:49 -486780.055007] FAST spr round 1 (radius: 25)
[30:23:54 -441954.826498] FAST spr round 2 (radius: 25)
[30:29:58 -440266.324157] FAST spr round 3 (radius: 25)
[30:34:16 -440117.947837] FAST spr round 4 (radius: 25)
[30:37:31 -440107.004778] FAST spr round 5 (radius: 25)
[30:40:16 -440104.072719] FAST spr round 6 (radius: 25)
[30:42:50 -440103.983769] Model parameter optimization (eps = 1.000000)
[30:43:25 -440069.484295] SLOW spr round 1 (radius: 5)
[30:47:58 -439939.013606] SLOW spr round 2 (radius: 5)
[30:52:40 -439911.484518] SLOW spr round 3 (radius: 5)
[30:57:01 -439903.852719] SLOW spr round 4 (radius: 5)
[31:01:13 -439903.851986] SLOW spr round 5 (radius: 10)
[31:05:59 -439902.979163] SLOW spr round 6 (radius: 5)
[31:11:42 -439902.978452] SLOW spr round 7 (radius: 10)
[31:17:34 -439902.977874] SLOW spr round 8 (radius: 15)
[31:27:51 -439902.977312] SLOW spr round 9 (radius: 20)
[31:47:50 -439902.976764] SLOW spr round 10 (radius: 25)
[32:17:34 -439902.976226] Model parameter optimization (eps = 0.100000)

[32:17:51] ML tree search #13, logLikelihood: -439902.667127

[32:17:52 -1330898.495979] Initial branch length optimization
[32:18:08 -1075739.699254] Model parameter optimization (eps = 10.000000)
[32:21:42 -1072289.509270] AUTODETECT spr round 1 (radius: 5)
[32:25:34 -755823.235591] AUTODETECT spr round 2 (radius: 10)
[32:30:07 -566734.249663] AUTODETECT spr round 3 (radius: 15)
[32:35:29 -498241.181911] AUTODETECT spr round 4 (radius: 20)
[32:41:16 -477625.412073] AUTODETECT spr round 5 (radius: 25)
[32:48:51 -475397.756199] SPR radius for FAST iterations: 25 (autodetect)
[32:48:51 -475397.756199] Model parameter optimization (eps = 3.000000)
[32:50:21 -473363.645902] FAST spr round 1 (radius: 25)
[32:59:43 -440794.448944] FAST spr round 2 (radius: 25)
[33:05:48 -440057.157727] FAST spr round 3 (radius: 25)
[33:10:14 -440007.977280] FAST spr round 4 (radius: 25)
[33:13:21 -440002.831565] FAST spr round 5 (radius: 25)
[33:16:02 -440002.830892] Model parameter optimization (eps = 1.000000)
[33:16:24 -439992.428923] SLOW spr round 1 (radius: 5)
[33:21:09 -439922.786984] SLOW spr round 2 (radius: 5)
[33:25:36 -439918.309431] SLOW spr round 3 (radius: 5)
[33:29:47 -439918.263647] SLOW spr round 4 (radius: 10)
[33:34:23 -439918.255281] SLOW spr round 5 (radius: 15)
[33:46:16 -439918.253259] SLOW spr round 6 (radius: 20)
[34:04:57 -439918.251924] SLOW spr round 7 (radius: 25)
[34:34:32 -439918.250872] Model parameter optimization (eps = 0.100000)

[34:34:43] ML tree search #14, logLikelihood: -439918.222855

[34:34:43 -1331157.001762] Initial branch length optimization
[34:35:01 -1082154.642178] Model parameter optimization (eps = 10.000000)
[34:38:38 -1078995.214804] AUTODETECT spr round 1 (radius: 5)
[34:42:26 -754674.982950] AUTODETECT spr round 2 (radius: 10)
[34:46:55 -562836.469948] AUTODETECT spr round 3 (radius: 15)
[34:51:55 -503221.324025] AUTODETECT spr round 4 (radius: 20)
[34:57:44 -487004.127118] AUTODETECT spr round 5 (radius: 25)
[35:04:48 -484305.012198] SPR radius for FAST iterations: 25 (autodetect)
[35:04:48 -484305.012198] Model parameter optimization (eps = 3.000000)
[35:06:12 -482187.705981] FAST spr round 1 (radius: 25)
[35:14:41 -441749.331389] FAST spr round 2 (radius: 25)
[35:20:49 -440052.732919] FAST spr round 3 (radius: 25)
[35:25:12 -439991.754068] FAST spr round 4 (radius: 25)
[35:28:18 -439986.765811] FAST spr round 5 (radius: 25)
[35:30:58 -439986.763940] Model parameter optimization (eps = 1.000000)
[35:31:34 -439974.526324] SLOW spr round 1 (radius: 5)
[35:36:21 -439908.065684] SLOW spr round 2 (radius: 5)
[35:40:47 -439902.563300] SLOW spr round 3 (radius: 5)
[35:44:59 -439902.267501] SLOW spr round 4 (radius: 5)
[35:49:08 -439902.252978] SLOW spr round 5 (radius: 10)
[35:53:56 -439902.252307] SLOW spr round 6 (radius: 15)
[36:05:58 -439902.251678] SLOW spr round 7 (radius: 20)
[36:24:55 -439902.251076] SLOW spr round 8 (radius: 25)
[36:54:50 -439902.250491] Model parameter optimization (eps = 0.100000)

[36:55:03] ML tree search #15, logLikelihood: -439902.201350

[36:55:04 -1326527.212185] Initial branch length optimization
[36:55:20 -1058637.464775] Model parameter optimization (eps = 10.000000)
[36:58:52 -1055552.580403] AUTODETECT spr round 1 (radius: 5)
[37:02:42 -765224.107395] AUTODETECT spr round 2 (radius: 10)
[37:07:11 -571714.373442] AUTODETECT spr round 3 (radius: 15)
[37:12:20 -492472.041846] AUTODETECT spr round 4 (radius: 20)
[37:17:59 -480372.987782] AUTODETECT spr round 5 (radius: 25)
[37:23:57 -478466.266373] SPR radius for FAST iterations: 25 (autodetect)
[37:23:57 -478466.266373] Model parameter optimization (eps = 3.000000)
[37:25:19 -476452.103168] FAST spr round 1 (radius: 25)
[37:33:35 -441642.387316] FAST spr round 2 (radius: 25)
[37:39:43 -440206.249859] FAST spr round 3 (radius: 25)
[37:44:18 -440071.406905] FAST spr round 4 (radius: 25)
[37:47:26 -440064.275552] FAST spr round 5 (radius: 25)
[37:50:08 -440064.274434] Model parameter optimization (eps = 1.000000)
[37:50:44 -440049.232984] SLOW spr round 1 (radius: 5)
[37:55:18 -439940.099995] SLOW spr round 2 (radius: 5)
[37:59:49 -439935.657093] SLOW spr round 3 (radius: 5)
[38:04:10 -439935.171590] SLOW spr round 4 (radius: 5)
[38:08:20 -439935.170486] SLOW spr round 5 (radius: 10)
[38:13:03 -439934.664078] SLOW spr round 6 (radius: 5)
[38:18:47 -439933.179555] SLOW spr round 7 (radius: 5)
[38:23:38 -439933.178396] SLOW spr round 8 (radius: 10)
[38:28:40 -439933.177531] SLOW spr round 9 (radius: 15)
[38:39:33 -439933.176824] SLOW spr round 10 (radius: 20)
[38:57:34 -439933.176210] SLOW spr round 11 (radius: 25)
[39:25:01 -439933.175651] Model parameter optimization (eps = 0.100000)

[39:25:21] ML tree search #16, logLikelihood: -439932.505767

[39:25:21 -1340738.582925] Initial branch length optimization
[39:25:36 -1086901.112826] Model parameter optimization (eps = 10.000000)
[39:28:06 -1083758.721618] AUTODETECT spr round 1 (radius: 5)
[39:31:54 -750863.508694] AUTODETECT spr round 2 (radius: 10)
[39:36:18 -589246.585389] AUTODETECT spr round 3 (radius: 15)
[39:41:13 -515318.085821] AUTODETECT spr round 4 (radius: 20)
[39:47:23 -486288.854006] AUTODETECT spr round 5 (radius: 25)
[39:54:34 -480742.132881] SPR radius for FAST iterations: 25 (autodetect)
[39:54:34 -480742.132881] Model parameter optimization (eps = 3.000000)
[39:56:16 -478426.176106] FAST spr round 1 (radius: 25)
[40:04:02 -441266.298852] FAST spr round 2 (radius: 25)
[40:09:18 -440169.065067] FAST spr round 3 (radius: 25)
[40:13:18 -440088.412898] FAST spr round 4 (radius: 25)
[40:16:24 -440086.688698] FAST spr round 5 (radius: 25)
[40:19:04 -440086.686449] Model parameter optimization (eps = 1.000000)
[40:19:39 -440067.260119] SLOW spr round 1 (radius: 5)
[40:24:09 -439939.053580] SLOW spr round 2 (radius: 5)
[40:28:37 -439928.334168] SLOW spr round 3 (radius: 5)
[40:32:55 -439928.332545] SLOW spr round 4 (radius: 10)
[40:37:37 -439928.331295] SLOW spr round 5 (radius: 15)
[40:49:39 -439928.330278] SLOW spr round 6 (radius: 20)
[41:08:15 -439928.329421] SLOW spr round 7 (radius: 25)
[41:37:33 -439928.328673] Model parameter optimization (eps = 0.100000)

[41:37:46] ML tree search #17, logLikelihood: -439928.266188

[41:37:47 -1330929.848226] Initial branch length optimization
[41:38:02 -1086636.957949] Model parameter optimization (eps = 10.000000)
[41:40:26 -1083343.263816] AUTODETECT spr round 1 (radius: 5)
[41:44:14 -761124.424195] AUTODETECT spr round 2 (radius: 10)
[41:48:49 -564757.745454] AUTODETECT spr round 3 (radius: 15)
[41:53:55 -505003.738430] AUTODETECT spr round 4 (radius: 20)
[41:59:53 -485007.946931] AUTODETECT spr round 5 (radius: 25)
[42:07:40 -484038.913919] SPR radius for FAST iterations: 25 (autodetect)
[42:07:40 -484038.913919] Model parameter optimization (eps = 3.000000)
[42:09:10 -481826.838992] FAST spr round 1 (radius: 25)
[42:17:20 -442269.197234] FAST spr round 2 (radius: 25)
[42:23:11 -440146.317652] FAST spr round 3 (radius: 25)
[42:27:21 -440085.297254] FAST spr round 4 (radius: 25)
[42:30:24 -440082.864836] FAST spr round 5 (radius: 25)
[42:33:05 -440082.862626] Model parameter optimization (eps = 1.000000)
[42:33:43 -440064.713191] SLOW spr round 1 (radius: 5)
[42:38:19 -439937.483908] SLOW spr round 2 (radius: 5)
[42:42:47 -439934.210656] SLOW spr round 3 (radius: 5)
[42:47:05 -439933.285759] SLOW spr round 4 (radius: 5)
[42:51:17 -439933.283797] SLOW spr round 5 (radius: 10)
[42:55:59 -439933.282313] SLOW spr round 6 (radius: 15)
[43:07:32 -439933.281288] SLOW spr round 7 (radius: 20)
[43:25:18 -439933.280735] SLOW spr round 8 (radius: 25)
[43:53:16 -439933.280310] Model parameter optimization (eps = 0.100000)

[43:53:34] ML tree search #18, logLikelihood: -439933.173765

[43:53:34 -1355316.524038] Initial branch length optimization
[43:53:53 -1086249.958749] Model parameter optimization (eps = 10.000000)
[43:57:08 -1082955.823652] AUTODETECT spr round 1 (radius: 5)
[44:01:01 -745006.809109] AUTODETECT spr round 2 (radius: 10)
[44:05:25 -577052.734400] AUTODETECT spr round 3 (radius: 15)
[44:10:33 -494865.881976] AUTODETECT spr round 4 (radius: 20)
[44:16:38 -477148.972529] AUTODETECT spr round 5 (radius: 25)
[44:23:56 -474812.746793] SPR radius for FAST iterations: 25 (autodetect)
[44:23:56 -474812.746793] Model parameter optimization (eps = 3.000000)
[44:25:18 -472736.301044] FAST spr round 1 (radius: 25)
[44:34:13 -441352.191227] FAST spr round 2 (radius: 25)
[44:40:08 -440175.709837] FAST spr round 3 (radius: 25)
[44:44:41 -440041.111219] FAST spr round 4 (radius: 25)
[44:48:09 -440016.207407] FAST spr round 5 (radius: 25)
[44:51:07 -440011.889446] FAST spr round 6 (radius: 25)
[44:53:46 -440009.748374] FAST spr round 7 (radius: 25)
[44:56:17 -440009.746864] Model parameter optimization (eps = 1.000000)
[44:56:54 -439990.254701] SLOW spr round 1 (radius: 5)
[45:01:32 -439904.450950] SLOW spr round 2 (radius: 5)
[45:05:50 -439898.888930] SLOW spr round 3 (radius: 5)
[45:10:02 -439896.371704] SLOW spr round 4 (radius: 5)
[45:14:10 -439896.370842] SLOW spr round 5 (radius: 10)
[45:18:49 -439896.370197] SLOW spr round 6 (radius: 15)
[45:30:51 -439896.369616] SLOW spr round 7 (radius: 20)
[45:49:29 -439896.369060] SLOW spr round 8 (radius: 25)
[46:18:26 -439896.368516] Model parameter optimization (eps = 0.100000)

[46:18:42] ML tree search #19, logLikelihood: -439896.250100

[46:18:42 -1324031.569306] Initial branch length optimization
[46:18:56 -1076467.433523] Model parameter optimization (eps = 10.000000)
[46:21:12 -1073087.793694] AUTODETECT spr round 1 (radius: 5)
[46:24:59 -765886.672681] AUTODETECT spr round 2 (radius: 10)
[46:29:24 -585709.083878] AUTODETECT spr round 3 (radius: 15)
[46:34:18 -521852.640789] AUTODETECT spr round 4 (radius: 20)
[46:40:06 -492008.352127] AUTODETECT spr round 5 (radius: 25)
[46:49:04 -483441.420008] SPR radius for FAST iterations: 25 (autodetect)
[46:49:04 -483441.420008] Model parameter optimization (eps = 3.000000)
[46:50:40 -481247.715355] FAST spr round 1 (radius: 25)
[46:59:30 -441406.560379] FAST spr round 2 (radius: 25)
[47:05:35 -440152.180965] FAST spr round 3 (radius: 25)
[47:09:49 -440080.938704] FAST spr round 4 (radius: 25)
[47:13:02 -440072.488191] FAST spr round 5 (radius: 25)
[47:15:54 -440068.954349] FAST spr round 6 (radius: 25)
[47:18:29 -440068.952854] Model parameter optimization (eps = 1.000000)
[47:18:59 -440050.296118] SLOW spr round 1 (radius: 5)
[47:23:46 -439946.085737] SLOW spr round 2 (radius: 5)
[47:28:13 -439934.655463] SLOW spr round 3 (radius: 5)
[47:32:31 -439929.830668] SLOW spr round 4 (radius: 5)
[47:36:51 -439927.679171] SLOW spr round 5 (radius: 5)
[47:41:02 -439927.678559] SLOW spr round 6 (radius: 10)
[47:45:40 -439927.678011] SLOW spr round 7 (radius: 15)
[47:57:20 -439927.677475] SLOW spr round 8 (radius: 20)
[48:14:38 -439927.676947] SLOW spr round 9 (radius: 25)
[48:42:16 -439927.676425] Model parameter optimization (eps = 0.100000)

[48:42:33] ML tree search #20, logLikelihood: -439927.477306


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.187227,0.577290) (0.176471,1.202640) (0.360795,0.732015) (0.275507,1.508408) 
   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: -439895.357648

AIC score: 882700.715297 / AICc score: 883435.533195 / BIC score: 892718.226175
Free parameters (model + branch lengths): 1455

Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/3_mltree/P20929.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/3_mltree/P20929.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/3_mltree/P20929.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P20929/3_mltree/P20929.raxml.log

Analysis started: 14-Jul-2021 11:20:23 / finished: 16-Jul-2021 12:02:56

Elapsed time: 175353.502 seconds

Consumed energy: 15903.893 Wh (= 80 km in an electric car, or 398 km with an e-scooter!)