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 05-Jul-2021 17:55:05 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/2_msa/A6NLI5_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/3_mltree/A6NLI5 --seed 2 --threads 3 --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 (3 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/2_msa/A6NLI5_trimmed_msa.fasta
[00:00:00] Loaded alignment with 968 taxa and 147 sites

WARNING: Sequences tr_A0A2I3HUE3_A0A2I3HUE3_NOMLE_61853 and tr_H2N3G7_H2N3G7_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I3HUE3_A0A2I3HUE3_NOMLE_61853 and tr_K7BVH2_K7BVH2_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I3HUE3_A0A2I3HUE3_NOMLE_61853 and sp_Q96F44_TRI11_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3HUE3_A0A2I3HUE3_NOMLE_61853 and tr_A0A2R8ZKT7_A0A2R8ZKT7_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G1RI87_G1RI87_NOMLE_61853 and tr_M3ZBJ4_M3ZBJ4_NOMLE_61853 are exactly identical!
WARNING: Sequences tr_G1S6A6_G1S6A6_NOMLE_61853 and tr_H2Q2Y1_H2Q2Y1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1S6A6_G1S6A6_NOMLE_61853 and sp_P19474_RO52_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1S6A6_G1S6A6_NOMLE_61853 and tr_A0A2R9CHV1_A0A2R9CHV1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I2ZP24_A0A2I2ZP24_GORGO_9595 and tr_H2Q1H4_H2Q1H4_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2ZP24_A0A2I2ZP24_GORGO_9595 and sp_Q8NG06_TRI58_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QIJ8_G3QIJ8_GORGO_9595 and tr_H2QQJ8_H2QQJ8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_F7C1A0_F7C1A0_MACMU_9544 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_G7PQZ5_G7PQZ5_MACFA_9541 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_A0A096NAM1_A0A096NAM1_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_A0A0D9QW70_A0A0D9QW70_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_A0A2K5LKX8_A0A2K5LKX8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_A0A2K6B3T4_A0A2K6B3T4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3QUH3_G3QUH3_GORGO_9595 and tr_A0A2K5YAG4_A0A2K5YAG4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G3QWV0_G3QWV0_GORGO_9595 and tr_A0A2I3TLF3_A0A2I3TLF3_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QWV0_G3QWV0_GORGO_9595 and sp_Q96PL5_ERMAP_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QWV0_G3QWV0_GORGO_9595 and tr_A0A2R9CHX4_A0A2R9CHX4_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3RAG9_G3RAG9_GORGO_9595 and tr_H2QSH5_H2QSH5_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3RAG9_G3RAG9_GORGO_9595 and sp_O00478_BT3A3_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3RAG9_G3RAG9_GORGO_9595 and tr_A0A2R8ZX64_A0A2R8ZX64_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SBE2_G3SBE2_GORGO_9595 and tr_H2QSH7_H2QSH7_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3SBE2_G3SBE2_GORGO_9595 and tr_A0A2R9BIQ5_A0A2R9BIQ5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2PI71_H2PI71_PONAB_9601 and sp_Q5R7W8_BT2A2_PONAB_9601 are exactly identical!
WARNING: Sequences tr_E2QUP0_E2QUP0_CANLF_9615 and tr_M3W8C2_M3W8C2_FELCA_9685 are exactly identical!
WARNING: Sequences tr_E2QUP0_E2QUP0_CANLF_9615 and tr_A0A2U3Z800_A0A2U3Z800_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2I3RIT6_A0A2I3RIT6_PANTR_9598 and sp_Q8WVV5_BT2A2_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3RIT6_A0A2I3RIT6_PANTR_9598 and tr_A0A2R9A9J8_A0A2R9A9J8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A2I3S4N8_A0A2I3S4N8_PANTR_9598 and sp_I1YAP6_TRI77_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I3TKV3_A0A2I3TKV3_PANTR_9598 and sp_Q7KYR7_BT2A1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8ITD5_A0A2J8ITD5_PANTR_9598 and sp_Q9Y577_TRI17_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2J8ITD5_A0A2J8ITD5_PANTR_9598 and tr_A0A2R8ZI57_A0A2R8ZI57_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2Q3K3_H2Q3K3_PANTR_9598 and sp_A6NLI5_TR64C_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2R5F0_H2R5F0_PANTR_9598 and tr_A0A2R9A0N9_A0A2R9A0N9_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F7C4T7_F7C4T7_MONDO_13616 and tr_F7C4U3_F7C4U3_MONDO_13616 are exactly identical!
WARNING: Sequences tr_W5NPT7_W5NPT7_SHEEP_9940 and sp_P18892_BT1A1_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_W5PFA7_W5PFA7_SHEEP_9940 and tr_E1BGW9_E1BGW9_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_A6NCK2_TR43B_HUMAN_9606 and sp_Q96BQ3_TRI43_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A1D5QPI7_A0A1D5QPI7_MACMU_9544 and tr_A0A2K6DBI6_A0A2K6DBI6_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5QTX6_A0A1D5QTX6_MACMU_9544 and tr_A0A096N1S8_A0A096N1S8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5QTX6_A0A1D5QTX6_MACMU_9544 and tr_A0A0D9S7K2_A0A0D9S7K2_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5QTX6_A0A1D5QTX6_MACMU_9544 and tr_A0A2K5M5M7_A0A2K5M5M7_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5REF7_A0A1D5REF7_MACMU_9544 and tr_A0A2I3M105_A0A2I3M105_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A1D5REF7_A0A1D5REF7_MACMU_9544 and tr_A0A0D9S0S6_A0A0D9S0S6_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A1D5REF7_A0A1D5REF7_MACMU_9544 and tr_A0A2K5LWG3_A0A2K5LWG3_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A1D5REF7_A0A1D5REF7_MACMU_9544 and tr_A0A2K6CBM5_A0A2K6CBM5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A1D5REF7_A0A1D5REF7_MACMU_9544 and tr_A0A2K6AKN4_A0A2K6AKN4_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F6R4T4_F6R4T4_MACMU_9544 and tr_A0A2K6DGE3_A0A2K6DGE3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6RTU9_F6RTU9_MACMU_9544 and tr_A0A2K6B5B4_A0A2K6B5B4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6TI53_F6TI53_MACMU_9544 and tr_G7P2P4_G7P2P4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6TI53_F6TI53_MACMU_9544 and tr_A0A2K6EB40_A0A2K6EB40_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6U9E0_F6U9E0_MACMU_9544 and tr_G7P3M3_G7P3M3_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6W0V1_F6W0V1_MACMU_9544 and tr_G7P6Q0_G7P6Q0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6W0V1_F6W0V1_MACMU_9544 and tr_A0A096MYJ4_A0A096MYJ4_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F6W0V1_F6W0V1_MACMU_9544 and tr_A0A2K5LE37_A0A2K5LE37_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6W0V1_F6W0V1_MACMU_9544 and tr_A0A2K6BU88_A0A2K6BU88_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F6W0V1_F6W0V1_MACMU_9544 and tr_A0A2K5YPH2_A0A2K5YPH2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7GB58_F7GB58_MACMU_9544 and tr_G7NWJ0_G7NWJ0_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GJW5_F7GJW5_MACMU_9544 and tr_G8F2Y8_G8F2Y8_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7GJW5_F7GJW5_MACMU_9544 and tr_A0A2K6C8A4_A0A2K6C8A4_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7GJW5_F7GJW5_MACMU_9544 and tr_A0A2K5ZB23_A0A2K5ZB23_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7GJW9_F7GJW9_MACMU_9544 and tr_A0A096N7V8_A0A096N7V8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7GJW9_F7GJW9_MACMU_9544 and tr_A0A0D9RVG5_A0A0D9RVG5_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7GJW9_F7GJW9_MACMU_9544 and tr_A0A2K5MWE8_A0A2K5MWE8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7GJW9_F7GJW9_MACMU_9544 and tr_A0A2K6BDB8_A0A2K6BDB8_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7H2Q5_F7H2Q5_MACMU_9544 and tr_A0A0D9RBG8_A0A0D9RBG8_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7HRB7_F7HRB7_MACMU_9544 and tr_G7PNF4_G7PNF4_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7HRB7_F7HRB7_MACMU_9544 and tr_A0A2K6DW68_A0A2K6DW68_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G3TU64_G3TU64_LOXAF_9785 and tr_G3U9B0_G3U9B0_LOXAF_9785 are exactly identical!
WARNING: Sequences tr_A0A287AQI0_A0A287AQI0_PIG_9823 and tr_A0A287BHW4_A0A287BHW4_PIG_9823 are exactly identical!
WARNING: Sequences tr_A0A287AQI0_A0A287AQI0_PIG_9823 and tr_F1SBJ8_F1SBJ8_PIG_9823 are exactly identical!
WARNING: Sequences tr_A0A287AWC8_A0A287AWC8_PIG_9823 and tr_A0A287BC69_A0A287BC69_PIG_9823 are exactly identical!
WARNING: Sequences tr_K9J4S2_K9J4S2_PIG_9823 and sp_A0JN74_TRI11_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_K9J4S2_K9J4S2_PIG_9823 and tr_A0A2U4BI98_A0A2U4BI98_TURTR_9739 are exactly identical!
WARNING: Sequences tr_K9J4S2_K9J4S2_PIG_9823 and tr_A0A2Y9F8S3_A0A2Y9F8S3_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_K9J4S2_K9J4S2_PIG_9823 and tr_A0A383Z496_A0A383Z496_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A096NLH8_A0A096NLH8_PAPAN_9555 and tr_A0A2K5LI47_A0A2K5LI47_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096NLH8_A0A096NLH8_PAPAN_9555 and tr_A0A2K5YWX2_A0A2K5YWX2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A096NNI7_A0A096NNI7_PAPAN_9555 and tr_A0A096NXM5_A0A096NXM5_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_A0A2U3V3P0_A0A2U3V3P0_TURTR_9739 and tr_A0A2Y9MDJ8_A0A2Y9MDJ8_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4C1B4_A0A2U4C1B4_TURTR_9739 and tr_A0A2Y9MU59_A0A2Y9MU59_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U4C4V2_A0A2U4C4V2_TURTR_9739 and tr_A0A2Y9M8D5_A0A2Y9M8D5_DELLE_9749 are exactly identical!
WARNING: Duplicate sequences found: 85

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/A6NLI5/3_mltree/A6NLI5.raxml.reduced.phy

Alignment comprises 1 partitions and 147 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 147 / 147
Gaps: 3.85 %
Invariant sites: 0.00 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/3_mltree/A6NLI5.raxml.rba

Parallelization scheme autoconfig: 3 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 968 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 147 / 11760
[00:00:00] Data distribution: max. searches per worker: 7

Starting ML tree search with 20 distinct starting trees

[00:00:00 -268324.334053] Initial branch length optimization
[00:00:03 -230426.422824] Model parameter optimization (eps = 10.000000)
[00:00:37 -228722.717247] AUTODETECT spr round 1 (radius: 5)
[00:02:45 -169890.136511] AUTODETECT spr round 2 (radius: 10)
[00:05:09 -118053.282076] AUTODETECT spr round 3 (radius: 15)
[00:07:39 -96776.502802] AUTODETECT spr round 4 (radius: 20)
[00:11:00 -89243.775267] AUTODETECT spr round 5 (radius: 25)
[00:14:51 -89219.152522] SPR radius for FAST iterations: 25 (autodetect)
[00:14:51 -89219.152522] Model parameter optimization (eps = 3.000000)
[00:15:09 -89131.597836] FAST spr round 1 (radius: 25)
[00:17:41 -77922.737179] FAST spr round 2 (radius: 25)
[00:19:40 -77430.271327] FAST spr round 3 (radius: 25)
[00:21:27 -77391.974024] FAST spr round 4 (radius: 25)
[00:23:03 -77386.096149] FAST spr round 5 (radius: 25)
[00:24:36 -77386.094665] Model parameter optimization (eps = 1.000000)
[00:24:47 -77382.539357] SLOW spr round 1 (radius: 5)
[00:26:44 -77354.238414] SLOW spr round 2 (radius: 5)
[00:28:42 -77339.768210] SLOW spr round 3 (radius: 5)
[00:30:40 -77333.088491] SLOW spr round 4 (radius: 5)
[00:32:33 -77333.088315] SLOW spr round 5 (radius: 10)
[00:34:27 -77330.728319] SLOW spr round 6 (radius: 5)
[00:36:48 -77329.273277] SLOW spr round 7 (radius: 5)
[00:38:54 -77329.273238] SLOW spr round 8 (radius: 10)
[00:40:58 -77328.617834] SLOW spr round 9 (radius: 5)
[00:43:20 -77328.584316] SLOW spr round 10 (radius: 10)
[00:45:25 -77328.524594] SLOW spr round 11 (radius: 15)
[00:48:32 -77328.524231] SLOW spr round 12 (radius: 20)
[00:53:59 -77311.057170] SLOW spr round 13 (radius: 5)
[00:56:27 -77311.057069] SLOW spr round 14 (radius: 10)
[00:58:40 -77311.056997] SLOW spr round 15 (radius: 15)
[01:01:38 -77311.056945] SLOW spr round 16 (radius: 20)
[01:07:06 -77311.056908] SLOW spr round 17 (radius: 25)
[01:14:01 -77310.303232] SLOW spr round 18 (radius: 5)
[01:16:32 -77310.303209] SLOW spr round 19 (radius: 10)
[01:18:48 -77310.303195] SLOW spr round 20 (radius: 15)
[01:21:48 -77310.303184] SLOW spr round 21 (radius: 20)
[01:27:17 -77310.303176] SLOW spr round 22 (radius: 25)
[01:34:09 -77310.303171] Model parameter optimization (eps = 0.100000)

[01:34:14] [worker #0] ML tree search #1, logLikelihood: -77310.242976

[01:34:14 -267990.374645] Initial branch length optimization
[01:34:18 -230409.240885] Model parameter optimization (eps = 10.000000)
[01:34:44] [worker #2] ML tree search #3, logLikelihood: -77287.974879
[01:35:01 -228854.806287] AUTODETECT spr round 1 (radius: 5)
[01:37:10 -174393.447796] AUTODETECT spr round 2 (radius: 10)
[01:39:32 -124311.932222] AUTODETECT spr round 3 (radius: 15)
[01:42:00 -102001.729759] AUTODETECT spr round 4 (radius: 20)
[01:45:00 -91832.332395] AUTODETECT spr round 5 (radius: 25)
[01:48:24 -90189.318123] SPR radius for FAST iterations: 25 (autodetect)
[01:48:24 -90189.318123] Model parameter optimization (eps = 3.000000)
[01:48:46 -90109.455164] FAST spr round 1 (radius: 25)
[01:51:13 -78048.320449] FAST spr round 2 (radius: 25)
[01:53:11 -77386.078727] FAST spr round 3 (radius: 25)
[01:54:57 -77340.217884] FAST spr round 4 (radius: 25)
[01:56:34 -77336.016600] FAST spr round 5 (radius: 25)
[01:58:04 -77336.016211] Model parameter optimization (eps = 1.000000)
[01:58:15 -77328.766343] SLOW spr round 1 (radius: 5)
[02:00:11 -77294.194964] SLOW spr round 2 (radius: 5)
[02:01:08] [worker #1] ML tree search #2, logLikelihood: -77289.949616
[02:02:07 -77283.777572] SLOW spr round 3 (radius: 5)
[02:03:58 -77283.278507] SLOW spr round 4 (radius: 5)
[02:05:50 -77283.276956] SLOW spr round 5 (radius: 10)
[02:07:45 -77281.623630] SLOW spr round 6 (radius: 5)
[02:10:00 -77281.620295] SLOW spr round 7 (radius: 10)
[02:12:04 -77281.619041] SLOW spr round 8 (radius: 15)
[02:15:06 -77281.618551] SLOW spr round 9 (radius: 20)
[02:20:23 -77279.337518] SLOW spr round 10 (radius: 5)
[02:22:51 -77279.336483] SLOW spr round 11 (radius: 10)
[02:25:17 -77279.336453] SLOW spr round 12 (radius: 15)
[02:28:17 -77279.298217] SLOW spr round 13 (radius: 20)
[02:33:56 -77279.025677] SLOW spr round 14 (radius: 5)
[02:36:35 -77279.025272] SLOW spr round 15 (radius: 10)
[02:39:01 -77279.025260] SLOW spr round 16 (radius: 15)
[02:42:15 -77279.024277] SLOW spr round 17 (radius: 20)
[02:47:35 -77279.024277] SLOW spr round 18 (radius: 25)
[02:54:33 -77277.006067] SLOW spr round 19 (radius: 5)
[02:57:13 -77276.887941] SLOW spr round 20 (radius: 5)
[02:59:33 -77276.885526] SLOW spr round 21 (radius: 10)
[03:01:43 -77276.885519] SLOW spr round 22 (radius: 15)
[03:05:05 -77276.885519] SLOW spr round 23 (radius: 20)
[03:10:26 -77276.885519] SLOW spr round 24 (radius: 25)
[03:17:13 -77276.885519] Model parameter optimization (eps = 0.100000)

[03:17:19] [worker #0] ML tree search #4, logLikelihood: -77276.818032

[03:17:19 -265465.729162] Initial branch length optimization
[03:17:22 -229582.210875] Model parameter optimization (eps = 10.000000)
[03:17:56 -227985.016891] AUTODETECT spr round 1 (radius: 5)
[03:19:53 -170301.435562] AUTODETECT spr round 2 (radius: 10)
[03:22:00 -120297.424121] AUTODETECT spr round 3 (radius: 15)
[03:23:51] [worker #2] ML tree search #6, logLikelihood: -77270.749980
[03:24:18 -100241.730004] AUTODETECT spr round 4 (radius: 20)
[03:27:20 -93738.758107] AUTODETECT spr round 5 (radius: 25)
[03:31:07 -90971.139556] SPR radius for FAST iterations: 25 (autodetect)
[03:31:07 -90971.139556] Model parameter optimization (eps = 3.000000)
[03:31:22 -90901.169423] FAST spr round 1 (radius: 25)
[03:33:43 -78144.168764] FAST spr round 2 (radius: 25)
[03:35:34 -77427.454279] FAST spr round 3 (radius: 25)
[03:37:10 -77358.220362] FAST spr round 4 (radius: 25)
[03:38:40 -77344.244035] FAST spr round 5 (radius: 25)
[03:40:03 -77344.243805] Model parameter optimization (eps = 1.000000)
[03:40:19 -77341.306263] SLOW spr round 1 (radius: 5)
[03:41:17] [worker #1] ML tree search #5, logLikelihood: -77282.321629
[03:42:16 -77318.096753] SLOW spr round 2 (radius: 5)
[03:44:21 -77312.770576] SLOW spr round 3 (radius: 5)
[03:46:20 -77312.769958] SLOW spr round 4 (radius: 10)
[03:48:15 -77303.445844] SLOW spr round 5 (radius: 5)
[03:50:39 -77297.865210] SLOW spr round 6 (radius: 5)
[03:52:50 -77297.067469] SLOW spr round 7 (radius: 5)
[03:54:56 -77296.714304] SLOW spr round 8 (radius: 5)
[03:56:50 -77296.714142] SLOW spr round 9 (radius: 10)
[03:58:44 -77296.714124] SLOW spr round 10 (radius: 15)
[04:02:06 -77296.663441] SLOW spr round 11 (radius: 20)
[04:07:44 -77295.667047] SLOW spr round 12 (radius: 5)
[04:10:24 -77293.954689] SLOW spr round 13 (radius: 5)
[04:12:36 -77293.954682] SLOW spr round 14 (radius: 10)
[04:14:44 -77293.954675] SLOW spr round 15 (radius: 15)
[04:17:54 -77289.438821] SLOW spr round 16 (radius: 5)
[04:20:17 -77289.407455] SLOW spr round 17 (radius: 10)
[04:22:26 -77289.407447] SLOW spr round 18 (radius: 15)
[04:25:24 -77289.407440] SLOW spr round 19 (radius: 20)
[04:31:00 -77289.407434] SLOW spr round 20 (radius: 25)
[04:37:37] [worker #2] ML tree search #9, logLikelihood: -77287.057007
[04:37:41 -77283.798806] SLOW spr round 21 (radius: 5)
[04:40:08 -77283.798773] SLOW spr round 22 (radius: 10)
[04:42:24 -77282.141319] SLOW spr round 23 (radius: 5)
[04:44:41 -77279.461135] SLOW spr round 24 (radius: 5)
[04:46:43 -77278.768811] SLOW spr round 25 (radius: 5)
[04:48:39 -77278.553870] SLOW spr round 26 (radius: 5)
[04:50:31 -77278.553620] SLOW spr round 27 (radius: 10)
[04:52:22 -77278.553608] SLOW spr round 28 (radius: 15)
[04:55:33 -77278.553600] SLOW spr round 29 (radius: 20)
[05:00:57 -77278.553593] SLOW spr round 30 (radius: 25)
[05:08:12 -77278.553587] Model parameter optimization (eps = 0.100000)

[05:08:20] [worker #0] ML tree search #7, logLikelihood: -77278.250124

[05:08:20 -268224.626026] Initial branch length optimization
[05:08:23 -231358.856116] Model parameter optimization (eps = 10.000000)
[05:08:56 -229715.347154] AUTODETECT spr round 1 (radius: 5)
[05:11:04 -172483.743186] AUTODETECT spr round 2 (radius: 10)
[05:13:21 -122312.352551] AUTODETECT spr round 3 (radius: 15)
[05:15:58 -100023.746887] AUTODETECT spr round 4 (radius: 20)
[05:19:38 -90783.148182] AUTODETECT spr round 5 (radius: 25)
[05:22:05] [worker #1] ML tree search #8, logLikelihood: -77290.295562
[05:23:54 -90088.398096] SPR radius for FAST iterations: 25 (autodetect)
[05:23:54 -90088.398096] Model parameter optimization (eps = 3.000000)
[05:24:11 -90033.008866] FAST spr round 1 (radius: 25)
[05:26:50 -77864.916002] FAST spr round 2 (radius: 25)
[05:28:46 -77411.956559] FAST spr round 3 (radius: 25)
[05:30:31 -77366.865060] FAST spr round 4 (radius: 25)
[05:32:09 -77360.006694] FAST spr round 5 (radius: 25)
[05:33:48 -77357.914027] FAST spr round 6 (radius: 25)
[05:35:24 -77357.913543] Model parameter optimization (eps = 1.000000)
[05:35:38 -77353.046384] SLOW spr round 1 (radius: 5)
[05:37:39 -77321.707903] SLOW spr round 2 (radius: 5)
[05:39:33 -77319.077791] SLOW spr round 3 (radius: 5)
[05:41:24 -77319.076845] SLOW spr round 4 (radius: 10)
[05:43:20 -77316.984083] SLOW spr round 5 (radius: 5)
[05:45:10] [worker #2] ML tree search #12, logLikelihood: -77316.133481
[05:45:49 -77315.794051] SLOW spr round 6 (radius: 5)
[05:48:00 -77314.821331] SLOW spr round 7 (radius: 5)
[05:49:57 -77314.820650] SLOW spr round 8 (radius: 10)
[05:51:52 -77314.805224] SLOW spr round 9 (radius: 15)
[05:55:00 -77314.442781] SLOW spr round 10 (radius: 5)
[05:57:22 -77314.428564] SLOW spr round 11 (radius: 10)
[05:59:31 -77314.151891] SLOW spr round 12 (radius: 5)
[06:01:43 -77314.151887] SLOW spr round 13 (radius: 10)
[06:03:45 -77314.151886] SLOW spr round 14 (radius: 15)
[06:07:01 -77314.151886] SLOW spr round 15 (radius: 20)
[06:12:15 -77312.886324] SLOW spr round 16 (radius: 5)
[06:14:41 -77312.886322] SLOW spr round 17 (radius: 10)
[06:16:54 -77312.886322] SLOW spr round 18 (radius: 15)
[06:20:01 -77312.886322] SLOW spr round 19 (radius: 20)
[06:25:26 -77312.886321] SLOW spr round 20 (radius: 25)
[06:32:02 -77306.271109] SLOW spr round 21 (radius: 5)
[06:34:29 -77306.270752] SLOW spr round 22 (radius: 10)
[06:36:43 -77304.547590] SLOW spr round 23 (radius: 5)
[06:39:04 -77303.926648] SLOW spr round 24 (radius: 5)
[06:39:42] [worker #1] ML tree search #11, logLikelihood: -77286.028013
[06:41:14 -77303.926603] SLOW spr round 25 (radius: 10)
[06:43:08 -77303.926602] SLOW spr round 26 (radius: 15)
[06:46:14 -77303.926601] SLOW spr round 27 (radius: 20)
[06:51:37 -77303.926600] SLOW spr round 28 (radius: 25)
[06:58:17 -77303.926600] Model parameter optimization (eps = 0.100000)

[06:58:27] [worker #0] ML tree search #10, logLikelihood: -77303.763229

[06:58:27 -267719.688765] Initial branch length optimization
[06:58:30 -230680.204406] Model parameter optimization (eps = 10.000000)
[06:59:06 -229039.381674] AUTODETECT spr round 1 (radius: 5)
[07:01:16 -173785.289708] AUTODETECT spr round 2 (radius: 10)
[07:03:36 -121379.222108] AUTODETECT spr round 3 (radius: 15)
[07:06:00 -102721.835008] AUTODETECT spr round 4 (radius: 20)
[07:09:00 -92220.866535] AUTODETECT spr round 5 (radius: 25)
[07:12:24 -91120.746680] SPR radius for FAST iterations: 25 (autodetect)
[07:12:24 -91120.746680] Model parameter optimization (eps = 3.000000)
[07:12:43 -91067.031755] FAST spr round 1 (radius: 25)
[07:15:17 -77902.930486] FAST spr round 2 (radius: 25)
[07:17:14 -77397.686285] FAST spr round 3 (radius: 25)
[07:18:58 -77363.081150] FAST spr round 4 (radius: 25)
[07:20:32 -77359.067605] FAST spr round 5 (radius: 25)
[07:22:06 -77353.117108] FAST spr round 6 (radius: 25)
[07:23:35 -77352.489457] FAST spr round 7 (radius: 25)
[07:25:06 -77352.489192] Model parameter optimization (eps = 1.000000)
[07:25:17 -77348.925427] SLOW spr round 1 (radius: 5)
[07:27:16 -77323.507457] SLOW spr round 2 (radius: 5)
[07:29:10 -77315.780793] SLOW spr round 3 (radius: 5)
[07:31:05 -77313.796550] SLOW spr round 4 (radius: 5)
[07:32:57 -77313.794580] SLOW spr round 5 (radius: 10)
[07:35:00 -77312.470497] SLOW spr round 6 (radius: 5)
[07:37:35 -77307.490421] SLOW spr round 7 (radius: 5)
[07:38:21] [worker #2] ML tree search #15, logLikelihood: -77293.843557
[07:39:54 -77303.767034] SLOW spr round 8 (radius: 5)
[07:42:03 -77299.608092] SLOW spr round 9 (radius: 5)
[07:44:05 -77299.607328] SLOW spr round 10 (radius: 10)
[07:45:58 -77299.606733] SLOW spr round 11 (radius: 15)
[07:49:05 -77299.606262] SLOW spr round 12 (radius: 20)
[07:53:53 -77299.605888] SLOW spr round 13 (radius: 25)
[07:55:51] [worker #1] ML tree search #14, logLikelihood: -77287.511264
[08:00:00 -77295.408257] SLOW spr round 14 (radius: 5)
[08:02:26 -77295.357810] SLOW spr round 15 (radius: 10)
[08:04:41 -77295.070101] SLOW spr round 16 (radius: 5)
[08:06:55 -77295.069575] SLOW spr round 17 (radius: 10)
[08:08:55 -77295.069279] SLOW spr round 18 (radius: 15)
[08:11:55 -77295.069109] SLOW spr round 19 (radius: 20)
[08:16:49 -77294.939966] SLOW spr round 20 (radius: 5)
[08:19:14 -77294.939872] SLOW spr round 21 (radius: 10)
[08:21:25 -77294.939839] SLOW spr round 22 (radius: 15)
[08:24:18 -77294.939815] SLOW spr round 23 (radius: 20)
[08:29:35 -77294.939797] SLOW spr round 24 (radius: 25)
[08:35:51 -77294.939783] Model parameter optimization (eps = 0.100000)

[08:35:58] [worker #0] ML tree search #13, logLikelihood: -77294.813513

[08:35:58 -266286.027607] Initial branch length optimization
[08:36:02 -229701.496364] Model parameter optimization (eps = 10.000000)
[08:36:41 -228030.353992] AUTODETECT spr round 1 (radius: 5)
[08:38:53 -174176.735247] AUTODETECT spr round 2 (radius: 10)
[08:41:11 -122892.162896] AUTODETECT spr round 3 (radius: 15)
[08:43:47 -98797.975889] AUTODETECT spr round 4 (radius: 20)
[08:47:04 -89458.467385] AUTODETECT spr round 5 (radius: 25)
[08:50:35 -89174.685466] SPR radius for FAST iterations: 25 (autodetect)
[08:50:35 -89174.685466] Model parameter optimization (eps = 3.000000)
[08:50:58 -89103.207773] FAST spr round 1 (radius: 25)
[08:53:13 -77806.505782] FAST spr round 2 (radius: 25)
[08:55:05 -77407.822691] FAST spr round 3 (radius: 25)
[08:56:49 -77361.057866] FAST spr round 4 (radius: 25)
[08:58:22 -77358.665925] FAST spr round 5 (radius: 25)
[08:59:54 -77358.246115] FAST spr round 6 (radius: 25)
[09:01:22 -77358.245915] Model parameter optimization (eps = 1.000000)
[09:01:38 -77353.791968] SLOW spr round 1 (radius: 5)
[09:03:31 -77328.713998] SLOW spr round 2 (radius: 5)
[09:05:26 -77316.776844] SLOW spr round 3 (radius: 5)
[09:07:17 -77314.640421] SLOW spr round 4 (radius: 5)
[09:09:07 -77314.639912] SLOW spr round 5 (radius: 10)
[09:11:00 -77311.752507] SLOW spr round 6 (radius: 5)
[09:13:18 -77307.901475] SLOW spr round 7 (radius: 5)
[09:15:12 -77307.901459] SLOW spr round 8 (radius: 10)
[09:17:06 -77306.248063] SLOW spr round 9 (radius: 5)
[09:19:20 -77304.486430] SLOW spr round 10 (radius: 5)
[09:21:17 -77304.485241] SLOW spr round 11 (radius: 10)
[09:23:12 -77299.012334] SLOW spr round 12 (radius: 5)
[09:25:27 -77289.648678] SLOW spr round 13 (radius: 5)
[09:27:21 -77289.648453] SLOW spr round 14 (radius: 10)
[09:29:09 -77288.875224] SLOW spr round 15 (radius: 5)
[09:31:16 -77288.875216] SLOW spr round 16 (radius: 10)
[09:33:11 -77288.875215] SLOW spr round 17 (radius: 15)
[09:36:02 -77285.860913] SLOW spr round 18 (radius: 5)
[09:38:16 -77285.860550] SLOW spr round 19 (radius: 10)
[09:40:18 -77285.860544] SLOW spr round 20 (radius: 15)
[09:41:29] [worker #2] ML tree search #18, logLikelihood: -77261.446569
[09:43:05 -77285.860543] SLOW spr round 21 (radius: 20)
[09:48:09 -77285.568679] SLOW spr round 22 (radius: 5)
[09:50:27 -77285.425289] SLOW spr round 23 (radius: 5)
[09:52:26 -77285.425270] SLOW spr round 24 (radius: 10)
[09:54:18 -77285.425269] SLOW spr round 25 (radius: 15)
[09:57:12 -77280.921314] SLOW spr round 26 (radius: 5)
[09:59:27 -77280.887766] SLOW spr round 27 (radius: 10)
[10:01:29 -77280.887730] SLOW spr round 28 (radius: 15)
[10:04:18 -77280.887729] SLOW spr round 29 (radius: 20)
[10:09:22 -77280.887729] SLOW spr round 30 (radius: 25)
[10:15:34 -77279.061397] SLOW spr round 31 (radius: 5)
[10:17:51 -77278.976473] SLOW spr round 32 (radius: 10)
[10:19:58 -77278.975522] SLOW spr round 33 (radius: 15)
[10:22:46 -77278.974847] SLOW spr round 34 (radius: 20)
[10:23:19] [worker #1] ML tree search #17, logLikelihood: -77273.757550
[10:27:50 -77278.974363] SLOW spr round 35 (radius: 25)
[10:34:03 -77278.974012] Model parameter optimization (eps = 0.100000)

[10:34:14] [worker #0] ML tree search #16, logLikelihood: -77278.771750

[10:34:14 -266706.056549] Initial branch length optimization
[10:34:17 -230777.358611] Model parameter optimization (eps = 10.000000)
[10:34:47 -229228.997602] AUTODETECT spr round 1 (radius: 5)
[10:36:48 -172027.291011] AUTODETECT spr round 2 (radius: 10)
[10:38:58 -126184.620053] AUTODETECT spr round 3 (radius: 15)
[10:41:11 -101220.806488] AUTODETECT spr round 4 (radius: 20)
[10:43:55 -92780.563464] AUTODETECT spr round 5 (radius: 25)
[10:47:36 -91523.191267] SPR radius for FAST iterations: 25 (autodetect)
[10:47:36 -91523.191267] Model parameter optimization (eps = 3.000000)
[10:47:53 -91447.154576] FAST spr round 1 (radius: 25)
[10:50:08 -77941.395742] FAST spr round 2 (radius: 25)
[10:51:55 -77421.695377] FAST spr round 3 (radius: 25)
[10:53:32 -77377.867571] FAST spr round 4 (radius: 25)
[10:55:00 -77371.232467] FAST spr round 5 (radius: 25)
[10:56:26 -77368.938828] FAST spr round 6 (radius: 25)
[10:57:50 -77368.938806] Model parameter optimization (eps = 1.000000)
[10:58:01 -77365.852586] SLOW spr round 1 (radius: 5)
[10:59:50 -77343.741145] SLOW spr round 2 (radius: 5)
[11:01:37 -77333.130463] SLOW spr round 3 (radius: 5)
[11:03:24 -77331.803747] SLOW spr round 4 (radius: 5)
[11:05:07 -77331.803357] SLOW spr round 5 (radius: 10)
[11:06:54 -77329.496300] SLOW spr round 6 (radius: 5)
[11:09:06 -77327.431009] SLOW spr round 7 (radius: 5)
[11:11:00 -77327.430377] SLOW spr round 8 (radius: 10)
[11:12:48 -77321.945206] SLOW spr round 9 (radius: 5)
[11:14:57 -77312.599676] SLOW spr round 10 (radius: 5)
[11:16:50 -77312.599492] SLOW spr round 11 (radius: 10)
[11:18:38 -77312.599354] SLOW spr round 12 (radius: 15)
[11:21:30 -77312.028363] SLOW spr round 13 (radius: 5)
[11:23:45 -77312.028283] SLOW spr round 14 (radius: 10)
[11:25:48 -77312.028220] SLOW spr round 15 (radius: 15)
[11:28:33 -77312.028172] SLOW spr round 16 (radius: 20)
[11:33:34 -77306.016844] SLOW spr round 17 (radius: 5)
[11:35:51 -77305.951527] SLOW spr round 18 (radius: 10)
[11:37:56 -77304.610754] SLOW spr round 19 (radius: 5)
[11:40:01 -77304.610712] SLOW spr round 20 (radius: 10)
[11:41:53 -77304.610702] SLOW spr round 21 (radius: 15)
[11:44:42 -77300.116882] SLOW spr round 22 (radius: 5)
[11:46:56 -77300.083022] SLOW spr round 23 (radius: 10)
[11:48:57 -77300.082942] SLOW spr round 24 (radius: 15)
[11:51:41 -77300.082933] SLOW spr round 25 (radius: 20)
[11:56:40 -77300.082926] SLOW spr round 26 (radius: 25)
[12:01:54] [worker #1] ML tree search #20, logLikelihood: -77305.239329
[12:02:57 -77298.670323] SLOW spr round 27 (radius: 5)
[12:05:14 -77298.531170] SLOW spr round 28 (radius: 5)
[12:07:14 -77298.529272] SLOW spr round 29 (radius: 10)
[12:09:03 -77298.527886] SLOW spr round 30 (radius: 15)
[12:11:51 -77298.526867] SLOW spr round 31 (radius: 20)
[12:16:44 -77298.442781] SLOW spr round 32 (radius: 25)
[12:22:59 -77298.442214] Model parameter optimization (eps = 0.100000)

[12:23:08] [worker #0] ML tree search #19, logLikelihood: -77298.194695


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.115651,0.517556) (0.143386,0.463382) (0.385707,0.801154) (0.355255,1.589535) 
   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: -77261.446569

AIC score: 158400.893139 / AICc score: 7681720.893139 / BIC score: 164199.341925
Free parameters (model + branch lengths): 1939

WARNING: Number of free parameters (K=1939) is larger than alignment size (n=147).
         This might lead to overfitting and compromise tree inference results!


Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/3_mltree/A6NLI5.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/3_mltree/A6NLI5.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/3_mltree/A6NLI5.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/A6NLI5/3_mltree/A6NLI5.raxml.log

Analysis started: 05-Jul-2021 17:55:05 / finished: 06-Jul-2021 06:18:13

Elapsed time: 44588.349 seconds

Consumed energy: 3430.699 Wh (= 17 km in an electric car, or 86 km with an e-scooter!)