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 07-Jul-2021 10:58:16 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/2_msa/Q8NCR0_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0 --seed 2 --threads 4 --tree rand{20} pars{20}

Analysis options:
  run mode: ML tree search
  start tree(s): random (20)
  random seed: 2
  tip-inner: OFF
  pattern compression: ON
  per-rate scalers: OFF
  site repeats: ON
  fast spr radius: AUTO
  spr subtree cutoff: 1.000000
  branch lengths: proportional (ML estimate, algorithm: NR-FAST)
  SIMD kernels: AVX2
  parallelization: coarse-grained (auto), PTHREADS (4 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/2_msa/Q8NCR0_trimmed_msa.fasta
[00:00:00] Loaded alignment with 443 taxa and 209 sites

WARNING: Sequences tr_G3RCS5_G3RCS5_GORGO_9595 and tr_H2N3C7_H2N3C7_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3RCS5_G3RCS5_GORGO_9595 and sp_Q8NCR0_B3GL2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_Q256Z4_Q256Z4_DROPS_46245 and tr_Q256Z5_Q256Z5_DROPE_7234 are exactly identical!
WARNING: Sequences tr_H2Q1D8_H2Q1D8_PANTR_9598 and tr_A0A2R9B8J8_A0A2R9B8J8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A0E0GS65_A0A0E0GS65_ORYNI_4536 and tr_B8APX7_B8APX7_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0GS65_A0A0E0GS65_ORYNI_4536 and tr_I1PEI1_I1PEI1_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0GS65_A0A0E0GS65_ORYNI_4536 and tr_A0A0D3FMP5_A0A0D3FMP5_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0GS65_A0A0E0GS65_ORYNI_4536 and tr_A0A0D9ZBW0_A0A0D9ZBW0_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A0E0GS65_A0A0E0GS65_ORYNI_4536 and tr_A0A0E0KHP7_A0A0E0KHP7_ORYPU_4537 are exactly identical!
WARNING: Sequences tr_A0A0E0HXU9_A0A0E0HXU9_ORYNI_4536 and tr_I1Q8T2_I1Q8T2_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0HXU9_A0A0E0HXU9_ORYNI_4536 and tr_A0A0E0Q588_A0A0E0Q588_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0HXU9_A0A0E0HXU9_ORYNI_4536 and tr_A0A0D3GNC0_A0A0D3GNC0_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0HXU9_A0A0E0HXU9_ORYNI_4536 and tr_A0A0E0AGW4_A0A0E0AGW4_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A0E0I6V9_A0A0E0I6V9_ORYNI_4536 and tr_A0A0E0QDY7_A0A0E0QDY7_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0I6V9_A0A0E0I6V9_ORYNI_4536 and tr_A0A0D3GW15_A0A0D3GW15_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0JCE4_A0A0E0JCE4_ORYNI_4536 and tr_B8BMZ9_B8BMZ9_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0JCE4_A0A0E0JCE4_ORYNI_4536 and tr_I1R7U2_I1R7U2_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0JCE4_A0A0E0JCE4_ORYNI_4536 and tr_A0A0D3HWP8_A0A0D3HWP8_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A2XN25_A2XN25_ORYSI_39946 and tr_I1PGG0_I1PGG0_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A2XN25_A2XN25_ORYSI_39946 and tr_A0A0E0P2R3_A0A0E0P2R3_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A2XN25_A2XN25_ORYSI_39946 and tr_A0A0D3FQC7_A0A0D3FQC7_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A2XN25_A2XN25_ORYSI_39946 and tr_A0A0D9ZEM5_A0A0D9ZEM5_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A2YJ40_A2YJ40_ORYSI_39946 and tr_Q6ZKZ3_Q6ZKZ3_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_A0A0E0RJZ6_A0A0E0RJZ6_ORYRU_4529 and tr_A0A0P0YC58_A0A0P0YC58_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_G8F4D4_G8F4D4_MACFA_9541 and tr_A0A096MSY5_A0A096MSY5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G8F4D4_G8F4D4_MACFA_9541 and tr_A0A2K6DI87_A0A2K6DI87_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G8F4D4_G8F4D4_MACFA_9541 and tr_A0A2K5YJS4_A0A2K5YJS4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F2DTF5_F2DTF5_HORVV_112509 and tr_M7ZSS3_M7ZSS3_TRIUA_4572 are exactly identical!
WARNING: Sequences tr_F2DTF5_F2DTF5_HORVV_112509 and tr_A0A3B6RGY2_A0A3B6RGY2_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_F2DTF5_F2DTF5_HORVV_112509 and tr_A0A3B6SE67_A0A3B6SE67_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_M4DII1_M4DII1_BRARP_51351 and tr_A0A078IAY8_A0A078IAY8_BRANA_3708 are exactly identical!
WARNING: Sequences tr_A0A067G9R6_A0A067G9R6_CITSI_2711 and tr_V4U8F3_V4U8F3_9ROSI_85681 are exactly identical!
WARNING: Sequences tr_A0A067G9R6_A0A067G9R6_CITSI_2711 and tr_A0A2H5N191_A0A2H5N191_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A067GTG7_A0A067GTG7_CITSI_2711 and tr_V4TF42_V4TF42_9ROSI_85681 are exactly identical!
WARNING: Sequences tr_A0A078IQP4_A0A078IQP4_BRANA_3708 and tr_A0A0D3DR64_A0A0D3DR64_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A151M2S3_A0A151M2S3_ALLMI_8496 and tr_A0A3Q0HGB6_A0A3Q0HGB6_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A2I0M891_A0A2I0M891_COLLI_8932 and tr_A0A1V4JS55_A0A1V4JS55_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3X0U4_A0A1S3X0U4_TOBAC_4097 and tr_A0A1U7V6V2_A0A1U7V6V2_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3XUZ0_A0A1S3XUZ0_TOBAC_4097 and tr_A0A1U7VJ91_A0A1U7VJ91_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S4A6V5_A0A1S4A6V5_TOBAC_4097 and tr_A0A1J6IMN8_A0A1J6IMN8_NICAT_49451 are exactly identical!
WARNING: Sequences tr_A0A1S4A6V5_A0A1S4A6V5_TOBAC_4097 and tr_A0A1U7YKY4_A0A1U7YKY4_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3UNZ2_A0A1S3UNZ2_VIGRR_3916 and tr_A0A3Q0F5I8_A0A3Q0F5I8_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A2D0PKP9_A0A2D0PKP9_ICTPU_7998 and tr_A0A2D0PNF1_A0A2D0PNF1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A2D0QMM3_A0A2D0QMM3_ICTPU_7998 and tr_W5UJC1_W5UJC1_ICTPU_7998 are exactly identical!
WARNING: Sequences tr_A0A1U8EVA9_A0A1U8EVA9_CAPAN_4072 and tr_A0A2G3B8F5_A0A2G3B8F5_CAPCH_80379 are exactly identical!
WARNING: Sequences tr_A0A2G3A1L1_A0A2G3A1L1_CAPAN_4072 and tr_A0A2G3AWB2_A0A2G3AWB2_CAPCH_80379 are exactly identical!
WARNING: Sequences tr_A0A2U1KC21_A0A2U1KC21_ARTAN_35608 and tr_A0A2U1NVF6_A0A2U1NVF6_ARTAN_35608 are exactly identical!
WARNING: Duplicate sequences found: 47

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/Q8NCR0/3_mltree/Q8NCR0.raxml.reduced.phy

Alignment comprises 1 partitions and 209 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 209 / 209
Gaps: 4.67 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0.raxml.rba

Parallelization scheme autoconfig: 4 worker(s) x 1 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 443 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 209 / 16720
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -164481.051483] Initial branch length optimization
[00:00:01 -127660.800991] Model parameter optimization (eps = 10.000000)
[00:00:18 -127114.148424] AUTODETECT spr round 1 (radius: 5)
[00:00:55 -85299.372599] AUTODETECT spr round 2 (radius: 10)
[00:01:37 -67330.437749] AUTODETECT spr round 3 (radius: 15)
[00:02:28 -58341.495785] AUTODETECT spr round 4 (radius: 20)
[00:03:20 -54876.889718] AUTODETECT spr round 5 (radius: 25)
[00:04:26 -54183.799963] SPR radius for FAST iterations: 25 (autodetect)
[00:04:26 -54183.799963] Model parameter optimization (eps = 3.000000)
[00:04:40 -54075.514612] FAST spr round 1 (radius: 25)
[00:05:24 -48242.951838] FAST spr round 2 (radius: 25)
[00:05:57 -48014.138732] FAST spr round 3 (radius: 25)
[00:06:28 -47996.227348] FAST spr round 4 (radius: 25)
[00:06:55 -47995.554482] FAST spr round 5 (radius: 25)
[00:07:21 -47995.552758] Model parameter optimization (eps = 1.000000)
[00:07:32 -47992.068610] SLOW spr round 1 (radius: 5)
[00:08:19 -47962.745351] SLOW spr round 2 (radius: 5)
[00:09:04 -47959.148579] SLOW spr round 3 (radius: 5)
[00:09:45 -47959.147686] SLOW spr round 4 (radius: 10)
[00:10:29 -47957.568194] SLOW spr round 5 (radius: 5)
[00:11:27 -47955.318605] SLOW spr round 6 (radius: 5)
[00:12:15 -47955.318198] SLOW spr round 7 (radius: 10)
[00:13:00 -47955.318189] SLOW spr round 8 (radius: 15)
[00:14:11 -47955.318177] SLOW spr round 9 (radius: 20)
[00:16:00] [worker #2] ML tree search #3, logLikelihood: -47962.490796
[00:16:08 -47955.318172] SLOW spr round 10 (radius: 25)
[00:17:52] [worker #3] ML tree search #4, logLikelihood: -47953.871995
[00:18:11 -47955.318169] Model parameter optimization (eps = 0.100000)

[00:18:19] [worker #0] ML tree search #1, logLikelihood: -47955.112224

[00:18:19 -163466.347324] Initial branch length optimization
[00:18:21 -127457.008420] Model parameter optimization (eps = 10.000000)
[00:18:42 -126934.050360] AUTODETECT spr round 1 (radius: 5)
[00:19:19 -85351.284046] AUTODETECT spr round 2 (radius: 10)
[00:20:04 -67065.044867] AUTODETECT spr round 3 (radius: 15)
[00:20:54 -59410.532792] AUTODETECT spr round 4 (radius: 20)
[00:21:28] [worker #1] ML tree search #2, logLikelihood: -47954.615402
[00:21:53 -55924.973141] AUTODETECT spr round 5 (radius: 25)
[00:22:56 -54657.227141] SPR radius for FAST iterations: 25 (autodetect)
[00:22:56 -54657.227141] Model parameter optimization (eps = 3.000000)
[00:23:12 -54544.539238] FAST spr round 1 (radius: 25)
[00:23:56 -48471.647089] FAST spr round 2 (radius: 25)
[00:24:33 -47981.275625] FAST spr round 3 (radius: 25)
[00:25:04 -47963.062465] FAST spr round 4 (radius: 25)
[00:25:31 -47963.061672] Model parameter optimization (eps = 1.000000)
[00:25:39 -47960.527452] SLOW spr round 1 (radius: 5)
[00:26:25 -47951.882910] SLOW spr round 2 (radius: 5)
[00:27:11 -47945.613067] SLOW spr round 3 (radius: 5)
[00:27:52 -47945.612666] SLOW spr round 4 (radius: 10)
[00:28:36 -47945.612487] SLOW spr round 5 (radius: 15)
[00:29:42 -47945.612316] SLOW spr round 6 (radius: 20)
[00:31:16 -47945.612144] SLOW spr round 7 (radius: 25)
[00:33:03 -47945.611970] Model parameter optimization (eps = 0.100000)

[00:33:10] [worker #0] ML tree search #5, logLikelihood: -47945.480786

[00:33:10 -162417.355028] Initial branch length optimization
[00:33:11 -125679.704174] Model parameter optimization (eps = 10.000000)
[00:33:13] [worker #2] ML tree search #7, logLikelihood: -47951.865915
[00:33:31 -125138.286880] AUTODETECT spr round 1 (radius: 5)
[00:34:04 -89639.395409] AUTODETECT spr round 2 (radius: 10)
[00:34:45 -65791.054966] AUTODETECT spr round 3 (radius: 15)
[00:35:28 -56715.652415] AUTODETECT spr round 4 (radius: 20)
[00:36:23 -55536.365839] AUTODETECT spr round 5 (radius: 25)
[00:37:29 -54081.828241] SPR radius for FAST iterations: 25 (autodetect)
[00:37:29 -54081.828241] Model parameter optimization (eps = 3.000000)
[00:37:46 -53960.290362] FAST spr round 1 (radius: 25)
[00:38:30 -48208.232186] FAST spr round 2 (radius: 25)
[00:39:06 -48003.879278] FAST spr round 3 (radius: 25)
[00:39:37 -47979.146859] FAST spr round 4 (radius: 25)
[00:40:05 -47975.483515] FAST spr round 5 (radius: 25)
[00:40:22] [worker #1] ML tree search #6, logLikelihood: -47942.086608
[00:40:31 -47975.483445] Model parameter optimization (eps = 1.000000)
[00:40:39 -47973.797245] SLOW spr round 1 (radius: 5)
[00:41:26 -47951.335747] SLOW spr round 2 (radius: 5)
[00:42:11 -47950.862150] SLOW spr round 3 (radius: 5)
[00:42:53 -47950.861985] SLOW spr round 4 (radius: 10)
[00:43:35 -47949.357745] SLOW spr round 5 (radius: 5)
[00:44:32 -47948.488377] SLOW spr round 6 (radius: 5)
[00:45:20 -47948.486414] SLOW spr round 7 (radius: 10)
[00:46:04 -47948.486296] SLOW spr round 8 (radius: 15)
[00:47:09 -47948.486287] SLOW spr round 9 (radius: 20)
[00:48:42 -47948.486285] SLOW spr round 10 (radius: 25)
[00:49:23] [worker #3] ML tree search #8, logLikelihood: -47952.677646
[00:50:01] [worker #2] ML tree search #11, logLikelihood: -47950.762932
[00:50:22 -47948.486284] Model parameter optimization (eps = 0.100000)

[00:50:29] [worker #0] ML tree search #9, logLikelihood: -47947.546340

[00:50:29 -165954.205829] Initial branch length optimization
[00:50:30 -128346.283799] Model parameter optimization (eps = 10.000000)
[00:50:47 -127786.917911] AUTODETECT spr round 1 (radius: 5)
[00:51:23 -87939.413403] AUTODETECT spr round 2 (radius: 10)
[00:52:05 -66656.523720] AUTODETECT spr round 3 (radius: 15)
[00:52:55 -58278.804129] AUTODETECT spr round 4 (radius: 20)
[00:53:57 -53606.706432] AUTODETECT spr round 5 (radius: 25)
[00:55:05 -53379.886248] SPR radius for FAST iterations: 25 (autodetect)
[00:55:05 -53379.886248] Model parameter optimization (eps = 3.000000)
[00:55:19 -53281.852612] FAST spr round 1 (radius: 25)
[00:56:03 -48265.641571] FAST spr round 2 (radius: 25)
[00:56:38 -47994.400993] FAST spr round 3 (radius: 25)
[00:57:08 -47983.311385] FAST spr round 4 (radius: 25)
[00:57:36 -47980.579876] FAST spr round 5 (radius: 25)
[00:58:03 -47976.698448] FAST spr round 6 (radius: 25)
[00:58:28 -47976.697699] Model parameter optimization (eps = 1.000000)
[00:58:36 -47971.211684] SLOW spr round 1 (radius: 5)
[00:59:21 -47961.987584] SLOW spr round 2 (radius: 5)
[01:00:04 -47960.975503] SLOW spr round 3 (radius: 5)
[01:00:43] [worker #1] ML tree search #10, logLikelihood: -47946.734678
[01:00:45 -47960.975369] SLOW spr round 4 (radius: 10)
[01:01:28 -47957.745353] SLOW spr round 5 (radius: 5)
[01:02:25 -47957.689778] SLOW spr round 6 (radius: 10)
[01:03:15 -47957.688172] SLOW spr round 7 (radius: 15)
[01:04:20 -47957.559581] SLOW spr round 8 (radius: 5)
[01:05:22 -47957.283151] SLOW spr round 9 (radius: 5)
[01:06:13 -47957.282638] SLOW spr round 10 (radius: 10)
[01:06:59 -47957.282637] SLOW spr round 11 (radius: 15)
[01:08:06 -47957.282630] SLOW spr round 12 (radius: 20)
[01:09:38 -47957.282630] SLOW spr round 13 (radius: 25)
[01:09:54] [worker #3] ML tree search #12, logLikelihood: -47947.630613
[01:10:14] [worker #2] ML tree search #15, logLikelihood: -47963.057132
[01:11:14 -47957.282630] Model parameter optimization (eps = 0.100000)

[01:11:20] [worker #0] ML tree search #13, logLikelihood: -47957.271549

[01:11:20 -162664.254304] Initial branch length optimization
[01:11:22 -125482.321755] Model parameter optimization (eps = 10.000000)
[01:11:38 -125065.638976] AUTODETECT spr round 1 (radius: 5)
[01:12:15 -87901.512685] AUTODETECT spr round 2 (radius: 10)
[01:12:58 -65770.997379] AUTODETECT spr round 3 (radius: 15)
[01:13:51 -58943.110220] AUTODETECT spr round 4 (radius: 20)
[01:14:55 -57170.897160] AUTODETECT spr round 5 (radius: 25)
[01:16:16 -53408.709767] SPR radius for FAST iterations: 25 (autodetect)
[01:16:16 -53408.709767] Model parameter optimization (eps = 3.000000)
[01:16:28 -53318.000913] FAST spr round 1 (radius: 25)
[01:17:13 -48177.132779] FAST spr round 2 (radius: 25)
[01:17:48 -47982.528993] FAST spr round 3 (radius: 25)
[01:18:20 -47960.123721] FAST spr round 4 (radius: 25)
[01:18:46 -47960.121527] Model parameter optimization (eps = 1.000000)
[01:18:56 -47956.588376] SLOW spr round 1 (radius: 5)
[01:19:41 -47951.452265] SLOW spr round 2 (radius: 5)
[01:20:25 -47950.380562] SLOW spr round 3 (radius: 5)
[01:21:06 -47949.901866] SLOW spr round 4 (radius: 5)
[01:21:46 -47949.901219] SLOW spr round 5 (radius: 10)
[01:22:28 -47948.776063] SLOW spr round 6 (radius: 5)
[01:22:50] [worker #1] ML tree search #14, logLikelihood: -47962.798644
[01:23:24 -47948.775691] SLOW spr round 7 (radius: 10)
[01:24:14 -47948.775594] SLOW spr round 8 (radius: 15)
[01:25:20 -47948.775527] SLOW spr round 9 (radius: 20)
[01:26:22] [worker #3] ML tree search #16, logLikelihood: -47957.124809
[01:27:19 -47948.775479] SLOW spr round 10 (radius: 25)
[01:29:31 -47948.775444] Model parameter optimization (eps = 0.100000)

[01:29:35] [worker #0] ML tree search #17, logLikelihood: -47948.735251

[01:35:28] [worker #2] ML tree search #19, logLikelihood: -47944.788563
[01:41:06] [worker #1] ML tree search #18, logLikelihood: -47966.562531
[01:43:45] [worker #3] ML tree search #20, logLikelihood: -47946.895018

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.100856,0.371153) (0.318619,0.444924) (0.353914,0.908611) (0.226610,2.203055) 
   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: -47942.086608

AIC score: 97662.173216 / AICc score: 1680082.173216 / BIC score: 100633.508366
Free parameters (model + branch lengths): 889

WARNING: Number of free parameters (K=889) is larger than alignment size (n=209).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 59 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q8NCR0/3_mltree/Q8NCR0.raxml.log

Analysis started: 07-Jul-2021 10:58:16 / finished: 07-Jul-2021 12:42:02

Elapsed time: 6225.862 seconds

Consumed energy: 348.749 Wh (= 2 km in an electric car, or 9 km with an e-scooter!)