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 01-Jul-2021 05:03:53 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/2_msa/Q7L2E3_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3 --seed 2 --threads 8 --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 (8 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/2_msa/Q7L2E3_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 796 sites

WARNING: Sequences tr_A0A1D5PIN7_A0A1D5PIN7_CHICK_9031 and tr_H0YPC0_H0YPC0_TAEGU_59729 are exactly identical!
WARNING: Sequences tr_A0A1D5PIN7_A0A1D5PIN7_CHICK_9031 and tr_A0A091FID0_A0A091FID0_CORBR_85066 are exactly identical!
WARNING: Sequences tr_A0A1D5PIN7_A0A1D5PIN7_CHICK_9031 and tr_A0A087QJJ0_A0A087QJJ0_APTFO_9233 are exactly identical!
WARNING: Sequences tr_A0A1D5PIN7_A0A1D5PIN7_CHICK_9031 and tr_A0A091G9X6_A0A091G9X6_9AVES_55661 are exactly identical!
WARNING: Sequences tr_A0A1D5PIN7_A0A1D5PIN7_CHICK_9031 and tr_A0A218UGY0_A0A218UGY0_9PASE_299123 are exactly identical!
WARNING: Sequences tr_M3YJE6_M3YJE6_MUSPF_9669 and tr_G1L659_G1L659_AILME_9646 are exactly identical!
WARNING: Sequences tr_M3YU92_M3YU92_MUSPF_9669 and tr_A0A2U3VV11_A0A2U3VV11_ODORO_9708 are exactly identical!
WARNING: Sequences tr_M3YU92_M3YU92_MUSPF_9669 and tr_A0A2U3XNJ6_A0A2U3XNJ6_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_M3YU92_M3YU92_MUSPF_9669 and tr_A0A2Y9J2Y0_A0A2Y9J2Y0_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_B2WNJ0_B2WNJ0_PYRTR_426418 and tr_A0A2W1E7Q6_A0A2W1E7Q6_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_A0A2I2Z6V0_A0A2I2Z6V0_GORGO_9595 and tr_H2PAV9_H2PAV9_PONAB_9601 are exactly identical!
WARNING: Sequences tr_A0A2I2Z6V0_A0A2I2Z6V0_GORGO_9595 and tr_A0A2I3TEM8_A0A2I3TEM8_PANTR_9598 are exactly identical!
WARNING: Sequences tr_A0A2I2Z6V0_A0A2I2Z6V0_GORGO_9595 and sp_Q7L2E3_DHX30_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_A0A2I2Z6V0_A0A2I2Z6V0_GORGO_9595 and tr_A0A2R9AZJ2_A0A2R9AZJ2_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3SKQ4_G3SKQ4_GORGO_9595 and tr_H2QNM0_H2QNM0_PANTR_9598 are exactly identical!
WARNING: Sequences sp_Q5R874_DHX9_PONAB_9601 and tr_H2Q0R0_H2Q0R0_PANTR_9598 are exactly identical!
WARNING: Sequences sp_Q5R874_DHX9_PONAB_9601 and sp_Q08211_DHX9_HUMAN_9606 are exactly identical!
WARNING: Sequences sp_Q5R874_DHX9_PONAB_9601 and tr_F6W5Y4_F6W5Y4_MACMU_9544 are exactly identical!
WARNING: Sequences sp_Q5R874_DHX9_PONAB_9601 and tr_G7NXG8_G7NXG8_MACFA_9541 are exactly identical!
WARNING: Sequences sp_Q5R874_DHX9_PONAB_9601 and tr_A0A2K6DJY7_A0A2K6DJY7_MACNE_9545 are exactly identical!
WARNING: Sequences sp_Q5R874_DHX9_PONAB_9601 and tr_A0A2R9AB38_A0A2R9AB38_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2QQX0_H2QQX0_PANTR_9598 and sp_Q7Z478_DHX29_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_H2QQX0_H2QQX0_PANTR_9598 and tr_A0A2R9C7X8_A0A2R9C7X8_PANPA_9597 are exactly identical!
WARNING: Sequences tr_F6WKE0_F6WKE0_MONDO_13616 and tr_G3VXZ2_G3VXZ2_SARHA_9305 are exactly identical!
WARNING: Sequences tr_A0A0E0FFG1_A0A0E0FFG1_ORYNI_4536 and tr_A0A0E0MQN3_A0A0E0MQN3_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0GTP4_A0A0E0GTP4_ORYNI_4536 and tr_B8AJW1_B8AJW1_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0GTP4_A0A0E0GTP4_ORYNI_4536 and tr_A0A0E0P1B3_A0A0E0P1B3_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0GTP4_A0A0E0GTP4_ORYNI_4536 and tr_A0A0D3FP30_A0A0D3FP30_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0GTP4_A0A0E0GTP4_ORYNI_4536 and tr_A0A0P0W309_A0A0P0W309_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_F7D9X5_F7D9X5_MACMU_9544 and tr_A0A2K5MNR8_A0A2K5MNR8_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7D9X5_F7D9X5_MACMU_9544 and tr_A0A2K6B4G5_A0A2K6B4G5_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7HRC0_F7HRC0_MACMU_9544 and tr_A0A0D9RTV5_A0A0D9RTV5_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7HRC0_F7HRC0_MACMU_9544 and tr_A0A2K5NXS4_A0A2K5NXS4_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7HRC0_F7HRC0_MACMU_9544 and tr_A0A2K6CJQ3_A0A2K6CJQ3_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A2XTL2_A2XTL2_ORYSI_39946 and tr_I1PLD7_I1PLD7_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A2XTL2_A2XTL2_ORYSI_39946 and tr_A0A0D3FW09_A0A0D3FW09_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A2XTL2_A2XTL2_ORYSI_39946 and tr_A0A0D9ZKX9_A0A0D9ZKX9_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_G7NZL0_G7NZL0_MACFA_9541 and tr_A0A096N6F2_A0A096N6F2_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_G7NZL0_G7NZL0_MACFA_9541 and tr_A0A2K6DAR7_A0A2K6DAR7_MACNE_9545 are exactly identical!
WARNING: Sequences tr_G7NZL0_G7NZL0_MACFA_9541 and tr_A0A2K5YP21_A0A2K5YP21_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G5E5N3_G5E5N3_BOVIN_9913 and sp_Q28141_DHX9_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_A0A3B6KPD9_A0A3B6KPD9_WHEAT_4565 and tr_A0A3B6LT84_A0A3B6LT84_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A3B6KPD9_A0A3B6KPD9_WHEAT_4565 and tr_A0A3B6MZ99_A0A3B6MZ99_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_A0A067FI17_A0A067FI17_CITSI_2711 and tr_V4UR24_V4UR24_9ROSI_85681 are exactly identical!
WARNING: Sequences tr_A0A096NWR7_A0A096NWR7_PAPAN_9555 and tr_A0A2K5L8V6_A0A2K5L8V6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A096NWR7_A0A096NWR7_PAPAN_9555 and tr_A0A2K5ZUW5_A0A2K5ZUW5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A078J242_A0A078J242_BRANA_3708 and tr_A0A0D3D9Z7_A0A0D3D9Z7_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_A0A0A1ML61_A0A0A1ML61_9FUNG_58291 and tr_A0A367KCK6_A0A367KCK6_9FUNG_86630 are exactly identical!
WARNING: Sequences tr_A0A0V1CVA6_A0A0V1CVA6_TRIBR_45882 and tr_A0A0V0V5S5_A0A0V0V5S5_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A1S3YXD1_A0A1S3YXD1_TOBAC_4097 and tr_A0A1U7VQK7_A0A1U7VQK7_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S4BDM1_A0A1S4BDM1_TOBAC_4097 and tr_A0A1J6IXT6_A0A1J6IXT6_NICAT_49451 are exactly identical!
WARNING: Sequences tr_A0A1S4BDM1_A0A1S4BDM1_TOBAC_4097 and tr_A0A1U7YEG9_A0A1U7YEG9_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S4CT96_A0A1S4CT96_TOBAC_4097 and tr_A0A1U7XFG9_A0A1U7XFG9_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A3Q0FBJ5_A0A3Q0FBJ5_VIGRR_3916 and tr_A0A3Q0FCC7_A0A3Q0FCC7_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A3Q0FCC0_A0A3Q0FCC0_VIGRR_3916 and tr_A0A3Q0FFZ8_A0A3Q0FFZ8_VIGRR_3916 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U3V1F3_A0A2U3V1F3_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U3V1Q8_A0A2U3V1Q8_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U4C9V9_A0A2U4C9V9_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U4C9W8_A0A2U4C9W8_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U4C9W9_A0A2U4C9W9_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U4C9X2_A0A2U4C9X2_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2U4CA58_A0A2U4CA58_TURTR_9739 are exactly identical!
WARNING: Sequences tr_A0A2U3V155_A0A2U3V155_TURTR_9739 and tr_A0A2Y9SQD5_A0A2Y9SQD5_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U4AXC7_A0A2U4AXC7_TURTR_9739 and tr_A0A2Y9Q6C6_A0A2Y9Q6C6_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U3VP84_A0A2U3VP84_ODORO_9708 and tr_A0A2U3XD06_A0A2U3XD06_LEPWE_9713 are exactly identical!
WARNING: Sequences tr_A0A2U3VP84_A0A2U3VP84_ODORO_9708 and tr_A0A2Y9JTC9_A0A2Y9JTC9_ENHLU_391180 are exactly identical!
WARNING: Sequences tr_A0A2U3VP84_A0A2U3VP84_ODORO_9708 and tr_A0A384CX23_A0A384CX23_URSMA_29073 are exactly identical!
WARNING: Duplicate sequences found: 67

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/Q7L2E3/3_mltree/Q7L2E3.raxml.reduced.phy

Alignment comprises 1 partitions and 796 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 796 / 796
Gaps: 4.02 %
Invariant sites: 1.01 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3.raxml.rba

Parallelization scheme autoconfig: 2 worker(s) x 4 thread(s)

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

[00:00:00] Generating 20 random starting tree(s) with 1001 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 199 / 15920
[00:00:00] Data distribution: max. searches per worker: 10

Starting ML tree search with 20 distinct starting trees

[00:00:00 -1416404.462662] Initial branch length optimization
[00:00:08 -1193038.847787] Model parameter optimization (eps = 10.000000)
[00:00:50 -1188742.245693] AUTODETECT spr round 1 (radius: 5)
[00:04:02 -797797.670374] AUTODETECT spr round 2 (radius: 10)
[00:07:39 -598056.393507] AUTODETECT spr round 3 (radius: 15)
[00:11:37 -484768.156482] AUTODETECT spr round 4 (radius: 20)
[00:15:48 -429454.887839] AUTODETECT spr round 5 (radius: 25)
[00:20:54 -418795.979907] SPR radius for FAST iterations: 25 (autodetect)
[00:20:54 -418795.979907] Model parameter optimization (eps = 3.000000)
[00:21:15 -418757.112779] FAST spr round 1 (radius: 25)
[00:25:04 -365881.090572] FAST spr round 2 (radius: 25)
[00:27:47 -364174.631981] FAST spr round 3 (radius: 25)
[00:30:14 -363939.177915] FAST spr round 4 (radius: 25)
[00:32:21 -363936.597849] FAST spr round 5 (radius: 25)
[00:34:28 -363935.216186] FAST spr round 6 (radius: 25)
[00:36:32 -363935.216143] Model parameter optimization (eps = 1.000000)
[00:36:48 -363927.860162] SLOW spr round 1 (radius: 5)
[00:39:40 -363810.102560] SLOW spr round 2 (radius: 5)
[00:42:15 -363804.463848] SLOW spr round 3 (radius: 5)
[00:44:31 -363804.463702] SLOW spr round 4 (radius: 10)
[00:46:47 -363802.079446] SLOW spr round 5 (radius: 5)
[00:49:35 -363802.079381] SLOW spr round 6 (radius: 10)
[00:52:07 -363802.079374] SLOW spr round 7 (radius: 15)
[00:55:27 -363802.079374] SLOW spr round 8 (radius: 20)
[01:01:06 -363802.079374] SLOW spr round 9 (radius: 25)
[01:09:24 -363802.079374] Model parameter optimization (eps = 0.100000)

[01:09:33] [worker #0] ML tree search #1, logLikelihood: -363801.889587

[01:09:33 -1424831.513850] Initial branch length optimization
[01:09:39 -1201719.035972] Model parameter optimization (eps = 10.000000)
[01:10:18 -1197622.115548] AUTODETECT spr round 1 (radius: 5)
[01:10:20] [worker #1] ML tree search #2, logLikelihood: -363798.615091
[01:12:56 -783425.065972] AUTODETECT spr round 2 (radius: 10)
[01:15:55 -565819.317915] AUTODETECT spr round 3 (radius: 15)
[01:19:20 -485004.235415] AUTODETECT spr round 4 (radius: 20)
[01:23:18 -420797.671279] AUTODETECT spr round 5 (radius: 25)
[01:27:36 -410663.240882] SPR radius for FAST iterations: 25 (autodetect)
[01:27:36 -410663.240882] Model parameter optimization (eps = 3.000000)
[01:27:55 -410632.759300] FAST spr round 1 (radius: 25)
[01:31:23 -365660.780047] FAST spr round 2 (radius: 25)
[01:33:47 -364082.287039] FAST spr round 3 (radius: 25)
[01:35:57 -363965.046465] FAST spr round 4 (radius: 25)
[01:37:46 -363955.961581] FAST spr round 5 (radius: 25)
[01:39:50 -363952.588770] FAST spr round 6 (radius: 25)
[01:41:49 -363952.588724] Model parameter optimization (eps = 1.000000)
[01:42:03 -363945.684367] SLOW spr round 1 (radius: 5)
[01:45:03 -363822.035305] SLOW spr round 2 (radius: 5)
[01:47:55 -363807.270675] SLOW spr round 3 (radius: 5)
[01:50:36 -363806.875592] SLOW spr round 4 (radius: 5)
[01:53:12 -363806.875489] SLOW spr round 5 (radius: 10)
[01:55:50 -363802.674417] SLOW spr round 6 (radius: 5)
[01:59:07 -363802.674276] SLOW spr round 7 (radius: 10)
[02:02:05 -363802.674236] SLOW spr round 8 (radius: 15)
[02:06:03 -363802.674236] SLOW spr round 9 (radius: 20)
[02:12:51 -363802.674236] SLOW spr round 10 (radius: 25)
[02:22:34 -363802.674236] Model parameter optimization (eps = 0.100000)

[02:22:44] [worker #0] ML tree search #3, logLikelihood: -363802.520595

[02:22:44 -1405349.163211] Initial branch length optimization
[02:22:51 -1187414.338684] Model parameter optimization (eps = 10.000000)
[02:23:36 -1183614.950815] AUTODETECT spr round 1 (radius: 5)
[02:26:42 -771264.506687] AUTODETECT spr round 2 (radius: 10)
[02:30:09 -549633.426370] AUTODETECT spr round 3 (radius: 15)
[02:33:58 -448871.414258] AUTODETECT spr round 4 (radius: 20)
[02:37:47 -414214.651027] AUTODETECT spr round 5 (radius: 25)
[02:38:52] [worker #1] ML tree search #4, logLikelihood: -363815.353812
[02:43:00 -411104.837314] SPR radius for FAST iterations: 25 (autodetect)
[02:43:00 -411104.837314] Model parameter optimization (eps = 3.000000)
[02:43:21 -411078.094027] FAST spr round 1 (radius: 25)
[02:47:11 -365577.686663] FAST spr round 2 (radius: 25)
[02:50:02 -363953.775616] FAST spr round 3 (radius: 25)
[02:52:34 -363906.178992] FAST spr round 4 (radius: 25)
[02:54:44 -363893.798215] FAST spr round 5 (radius: 25)
[02:56:46 -363893.798119] Model parameter optimization (eps = 1.000000)
[02:57:00 -363890.577372] SLOW spr round 1 (radius: 5)
[02:59:54 -363814.599508] SLOW spr round 2 (radius: 5)
[03:02:40 -363804.908285] SLOW spr round 3 (radius: 5)
[03:05:24 -363800.349021] SLOW spr round 4 (radius: 5)
[03:08:03 -363800.348918] SLOW spr round 5 (radius: 10)
[03:10:42 -363800.348917] SLOW spr round 6 (radius: 15)
[03:14:52 -363799.856838] SLOW spr round 7 (radius: 5)
[03:18:25 -363799.856762] SLOW spr round 8 (radius: 10)
[03:21:34 -363799.856762] SLOW spr round 9 (radius: 15)
[03:25:25 -363799.856762] SLOW spr round 10 (radius: 20)
[03:32:10 -363799.856762] SLOW spr round 11 (radius: 25)
[03:41:59 -363799.856762] Model parameter optimization (eps = 0.100000)

[03:42:05] [worker #0] ML tree search #5, logLikelihood: -363799.794384

[03:42:05 -1421418.635667] Initial branch length optimization
[03:42:12 -1198868.783714] Model parameter optimization (eps = 10.000000)
[03:43:28 -1194742.966291] AUTODETECT spr round 1 (radius: 5)
[03:46:33 -805150.298567] AUTODETECT spr round 2 (radius: 10)
[03:50:04 -596084.405584] AUTODETECT spr round 3 (radius: 15)
[03:50:05] [worker #1] ML tree search #6, logLikelihood: -363813.799201
[03:54:01 -498472.650187] AUTODETECT spr round 4 (radius: 20)
[03:58:22 -436621.869948] AUTODETECT spr round 5 (radius: 25)
[04:04:05 -420462.299867] SPR radius for FAST iterations: 25 (autodetect)
[04:04:05 -420462.299867] Model parameter optimization (eps = 3.000000)
[04:04:14 -420454.364180] FAST spr round 1 (radius: 25)
[04:08:18 -366097.007317] FAST spr round 2 (radius: 25)
[04:11:09 -364062.953612] FAST spr round 3 (radius: 25)
[04:13:38 -363933.101907] FAST spr round 4 (radius: 25)
[04:15:45 -363926.893984] FAST spr round 5 (radius: 25)
[04:17:46 -363926.893844] Model parameter optimization (eps = 1.000000)
[04:18:00 -363915.867588] SLOW spr round 1 (radius: 5)
[04:21:01 -363829.706951] SLOW spr round 2 (radius: 5)
[04:23:56 -363809.813977] SLOW spr round 3 (radius: 5)
[04:26:43 -363802.651123] SLOW spr round 4 (radius: 5)
[04:29:25 -363799.236466] SLOW spr round 5 (radius: 5)
[04:32:04 -363799.236392] SLOW spr round 6 (radius: 10)
[04:34:45 -363797.453050] SLOW spr round 7 (radius: 5)
[04:38:03 -363797.452907] SLOW spr round 8 (radius: 10)
[04:41:02 -363797.452906] SLOW spr round 9 (radius: 15)
[04:44:53 -363797.452906] SLOW spr round 10 (radius: 20)
[04:51:18 -363797.452906] SLOW spr round 11 (radius: 25)
[05:00:31 -363797.452906] Model parameter optimization (eps = 0.100000)

[05:00:40] [worker #0] ML tree search #7, logLikelihood: -363797.339715

[05:00:41 -1409898.523003] Initial branch length optimization
[05:00:47 -1187587.524788] Model parameter optimization (eps = 10.000000)
[05:01:30 -1183380.831949] AUTODETECT spr round 1 (radius: 5)
[05:02:25] [worker #1] ML tree search #8, logLikelihood: -363801.366046
[05:04:38 -789627.714955] AUTODETECT spr round 2 (radius: 10)
[05:08:11 -568764.721587] AUTODETECT spr round 3 (radius: 15)
[05:12:03 -473932.437753] AUTODETECT spr round 4 (radius: 20)
[05:16:35 -418170.619842] AUTODETECT spr round 5 (radius: 25)
[05:21:43 -412683.337475] SPR radius for FAST iterations: 25 (autodetect)
[05:21:43 -412683.337475] Model parameter optimization (eps = 3.000000)
[05:22:07 -412637.153681] FAST spr round 1 (radius: 25)
[05:25:49 -365263.555067] FAST spr round 2 (radius: 25)
[05:28:23 -364073.879002] FAST spr round 3 (radius: 25)
[05:30:44 -363943.492048] FAST spr round 4 (radius: 25)
[05:32:55 -363926.705880] FAST spr round 5 (radius: 25)
[05:34:59 -363923.609803] FAST spr round 6 (radius: 25)
[05:37:00 -363923.609602] Model parameter optimization (eps = 1.000000)
[05:37:15 -363917.351609] SLOW spr round 1 (radius: 5)
[05:40:05 -363818.696855] SLOW spr round 2 (radius: 5)
[05:42:50 -363811.424977] SLOW spr round 3 (radius: 5)
[05:45:28 -363811.287124] SLOW spr round 4 (radius: 5)
[05:48:04 -363811.287100] SLOW spr round 5 (radius: 10)
[05:50:43 -363806.040447] SLOW spr round 6 (radius: 5)
[05:54:01 -363801.146048] SLOW spr round 7 (radius: 5)
[05:56:54 -363801.146045] SLOW spr round 8 (radius: 10)
[05:59:39 -363801.146029] SLOW spr round 9 (radius: 15)
[06:03:32 -363801.146029] SLOW spr round 10 (radius: 20)
[06:09:45 -363801.146029] SLOW spr round 11 (radius: 25)
[06:17:48] [worker #1] ML tree search #10, logLikelihood: -363845.511207
[06:18:50 -363801.146029] Model parameter optimization (eps = 0.100000)

[06:18:58] [worker #0] ML tree search #9, logLikelihood: -363801.007169

[06:18:58 -1422535.230998] Initial branch length optimization
[06:19:06 -1201699.755954] Model parameter optimization (eps = 10.000000)
[06:20:15 -1197519.356365] AUTODETECT spr round 1 (radius: 5)
[06:23:23 -779084.090266] AUTODETECT spr round 2 (radius: 10)
[06:27:00 -540800.610172] AUTODETECT spr round 3 (radius: 15)
[06:30:51 -443188.929879] AUTODETECT spr round 4 (radius: 20)
[06:35:02 -418536.179121] AUTODETECT spr round 5 (radius: 25)
[06:40:28 -414547.094790] SPR radius for FAST iterations: 25 (autodetect)
[06:40:28 -414547.094790] Model parameter optimization (eps = 3.000000)
[06:40:51 -414503.423534] FAST spr round 1 (radius: 25)
[06:44:46 -365492.186730] FAST spr round 2 (radius: 25)
[06:47:38 -364162.184426] FAST spr round 3 (radius: 25)
[06:49:59 -363970.470795] FAST spr round 4 (radius: 25)
[06:52:05 -363969.156413] FAST spr round 5 (radius: 25)
[06:54:07 -363969.156195] Model parameter optimization (eps = 1.000000)
[06:54:25 -363966.369945] SLOW spr round 1 (radius: 5)
[06:57:29 -363835.473607] SLOW spr round 2 (radius: 5)
[07:00:19 -363819.020954] SLOW spr round 3 (radius: 5)
[07:02:58 -363819.020893] SLOW spr round 4 (radius: 10)
[07:05:36 -363819.020888] SLOW spr round 5 (radius: 15)
[07:09:38 -363819.020888] SLOW spr round 6 (radius: 20)
[07:15:38 -363819.020888] SLOW spr round 7 (radius: 25)
[07:24:32 -363819.020888] Model parameter optimization (eps = 0.100000)

[07:24:41] [worker #0] ML tree search #11, logLikelihood: -363818.794297

[07:24:41 -1423685.788517] Initial branch length optimization
[07:24:47 -1201129.320450] Model parameter optimization (eps = 10.000000)
[07:25:42 -1196752.765876] AUTODETECT spr round 1 (radius: 5)
[07:28:51 -786486.972150] AUTODETECT spr round 2 (radius: 10)
[07:32:27 -529147.127523] AUTODETECT spr round 3 (radius: 15)
[07:36:13 -432068.388291] AUTODETECT spr round 4 (radius: 20)
[07:40:23 -402480.998026] AUTODETECT spr round 5 (radius: 25)
[07:45:02 -400407.549351] SPR radius for FAST iterations: 25 (autodetect)
[07:45:02 -400407.549351] Model parameter optimization (eps = 3.000000)
[07:45:25 -400374.193483] FAST spr round 1 (radius: 25)
[07:49:03 -365275.719624] FAST spr round 2 (radius: 25)
[07:49:55] [worker #1] ML tree search #12, logLikelihood: -363805.140125
[07:51:45 -364094.839862] FAST spr round 3 (radius: 25)
[07:54:07 -363997.915506] FAST spr round 4 (radius: 25)
[07:56:15 -363992.360593] FAST spr round 5 (radius: 25)
[07:58:16 -363992.360529] Model parameter optimization (eps = 1.000000)
[07:58:33 -363990.364197] SLOW spr round 1 (radius: 5)
[08:01:32 -363832.455266] SLOW spr round 2 (radius: 5)
[08:04:21 -363817.174479] SLOW spr round 3 (radius: 5)
[08:07:03 -363815.238167] SLOW spr round 4 (radius: 5)
[08:09:41 -363815.237997] SLOW spr round 5 (radius: 10)
[08:12:23 -363801.879709] SLOW spr round 6 (radius: 5)
[08:15:43 -363797.463238] SLOW spr round 7 (radius: 5)
[08:18:40 -363797.462919] SLOW spr round 8 (radius: 10)
[08:21:27 -363797.462428] SLOW spr round 9 (radius: 15)
[08:25:24 -363797.462428] SLOW spr round 10 (radius: 20)
[08:31:29 -363797.462428] SLOW spr round 11 (radius: 25)
[08:40:21 -363797.462428] Model parameter optimization (eps = 0.100000)

[08:40:35] [worker #0] ML tree search #13, logLikelihood: -363797.190216

[08:40:36 -1425543.268956] Initial branch length optimization
[08:40:49 -1199853.175922] Model parameter optimization (eps = 10.000000)
[08:41:32 -1195547.628692] AUTODETECT spr round 1 (radius: 5)
[08:44:39 -796031.706306] AUTODETECT spr round 2 (radius: 10)
[08:48:13 -565321.215694] AUTODETECT spr round 3 (radius: 15)
[08:52:11 -462165.887996] AUTODETECT spr round 4 (radius: 20)
[08:56:04 -425693.888315] AUTODETECT spr round 5 (radius: 25)
[09:00:40 -408646.893611] SPR radius for FAST iterations: 25 (autodetect)
[09:00:40 -408646.893611] Model parameter optimization (eps = 3.000000)
[09:01:02 -408611.937939] FAST spr round 1 (radius: 25)
[09:02:46] [worker #1] ML tree search #14, logLikelihood: -363819.760790
[09:04:46 -365827.807797] FAST spr round 2 (radius: 25)
[09:07:33 -364057.684685] FAST spr round 3 (radius: 25)
[09:09:54 -363919.386642] FAST spr round 4 (radius: 25)
[09:12:04 -363886.760484] FAST spr round 5 (radius: 25)
[09:14:08 -363884.828075] FAST spr round 6 (radius: 25)
[09:16:08 -363882.697974] FAST spr round 7 (radius: 25)
[09:18:08 -363882.697927] Model parameter optimization (eps = 1.000000)
[09:18:13 -363882.548400] SLOW spr round 1 (radius: 5)
[09:21:08 -363815.696533] SLOW spr round 2 (radius: 5)
[09:23:53 -363815.695882] SLOW spr round 3 (radius: 10)
[09:26:36 -363810.526852] SLOW spr round 4 (radius: 5)
[09:29:57 -363810.366506] SLOW spr round 5 (radius: 5)
[09:32:53 -363810.366431] SLOW spr round 6 (radius: 10)
[09:35:41 -363810.366384] SLOW spr round 7 (radius: 15)
[09:39:40 -363810.366384] SLOW spr round 8 (radius: 20)
[09:45:53 -363810.366384] SLOW spr round 9 (radius: 25)
[09:55:09 -363810.366384] Model parameter optimization (eps = 0.100000)

[09:55:13] [worker #0] ML tree search #15, logLikelihood: -363810.364124

[09:55:13 -1410963.374819] Initial branch length optimization
[09:55:20 -1184992.027411] Model parameter optimization (eps = 10.000000)
[09:56:08 -1180955.260790] AUTODETECT spr round 1 (radius: 5)
[09:59:17 -786895.640306] AUTODETECT spr round 2 (radius: 10)
[10:02:50 -564361.169455] AUTODETECT spr round 3 (radius: 15)
[10:06:45 -444298.559046] AUTODETECT spr round 4 (radius: 20)
[10:10:34 -412771.817762] AUTODETECT spr round 5 (radius: 25)
[10:15:47 -406311.034779] SPR radius for FAST iterations: 25 (autodetect)
[10:15:47 -406311.034779] Model parameter optimization (eps = 3.000000)
[10:16:09 -406261.348819] FAST spr round 1 (radius: 25)
[10:20:05 -366164.658832] FAST spr round 2 (radius: 25)
[10:22:57 -364079.636223] FAST spr round 3 (radius: 25)
[10:25:28 -363926.332541] FAST spr round 4 (radius: 25)
[10:27:37 -363884.223025] FAST spr round 5 (radius: 25)
[10:28:24] [worker #1] ML tree search #16, logLikelihood: -363818.832903
[10:29:37 -363882.845392] FAST spr round 6 (radius: 25)
[10:31:34 -363882.845339] Model parameter optimization (eps = 1.000000)
[10:31:47 -363880.976596] SLOW spr round 1 (radius: 5)
[10:34:41 -363811.252767] SLOW spr round 2 (radius: 5)
[10:37:25 -363803.375745] SLOW spr round 3 (radius: 5)
[10:40:06 -363801.808804] SLOW spr round 4 (radius: 5)
[10:42:44 -363801.544479] SLOW spr round 5 (radius: 5)
[10:45:18 -363801.544423] SLOW spr round 6 (radius: 10)
[10:47:55 -363798.848937] SLOW spr round 7 (radius: 5)
[10:51:11 -363798.848863] SLOW spr round 8 (radius: 10)
[10:54:07 -363798.848809] SLOW spr round 9 (radius: 15)
[10:58:03 -363798.848809] SLOW spr round 10 (radius: 20)
[11:04:42 -363798.848809] SLOW spr round 11 (radius: 25)
[11:14:23 -363798.848809] Model parameter optimization (eps = 0.100000)

[11:14:27] [worker #0] ML tree search #17, logLikelihood: -363798.840927

[11:14:27 -1413900.856229] Initial branch length optimization
[11:14:35 -1193380.771821] Model parameter optimization (eps = 10.000000)
[11:15:32 -1189331.384734] AUTODETECT spr round 1 (radius: 5)
[11:18:39 -794556.969594] AUTODETECT spr round 2 (radius: 10)
[11:22:10 -574108.923010] AUTODETECT spr round 3 (radius: 15)
[11:26:04 -470072.370528] AUTODETECT spr round 4 (radius: 20)
[11:30:17 -449739.594460] AUTODETECT spr round 5 (radius: 25)
[11:35:35 -425863.196774] SPR radius for FAST iterations: 25 (autodetect)
[11:35:35 -425863.196774] Model parameter optimization (eps = 3.000000)
[11:35:57 -425805.733527] FAST spr round 1 (radius: 25)
[11:39:38 -366704.909001] FAST spr round 2 (radius: 25)
[11:42:24 -364487.788188] FAST spr round 3 (radius: 25)
[11:43:29] [worker #1] ML tree search #18, logLikelihood: -363808.104672
[11:44:40 -364026.316159] FAST spr round 4 (radius: 25)
[11:46:46 -363928.252188] FAST spr round 5 (radius: 25)
[11:48:44 -363928.251965] Model parameter optimization (eps = 1.000000)
[11:48:57 -363924.691504] SLOW spr round 1 (radius: 5)
[11:51:52 -363825.553476] SLOW spr round 2 (radius: 5)
[11:54:40 -363813.361182] SLOW spr round 3 (radius: 5)
[11:57:25 -363809.571358] SLOW spr round 4 (radius: 5)
[12:00:02 -363809.571248] SLOW spr round 5 (radius: 10)
[12:02:39 -363808.169211] SLOW spr round 6 (radius: 5)
[12:05:55 -363806.947851] SLOW spr round 7 (radius: 5)
[12:08:46 -363806.947726] SLOW spr round 8 (radius: 10)
[12:11:29 -363806.947682] SLOW spr round 9 (radius: 15)
[12:15:23 -363806.947682] SLOW spr round 10 (radius: 20)
[12:21:25 -363806.947682] SLOW spr round 11 (radius: 25)
[12:30:19 -363806.947682] Model parameter optimization (eps = 0.100000)

[12:30:27] [worker #0] ML tree search #19, logLikelihood: -363806.703684

[12:53:24] [worker #1] ML tree search #20, logLikelihood: -363803.551513

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.181685,0.249413) (0.257032,0.376029) (0.314256,0.982232) (0.247027,2.223897) 
   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: -363797.190216

AIC score: 731604.380432 / AICc score: 8775664.380432 / BIC score: 740986.976800
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=796).
         This might lead to overfitting and compromise tree inference results!


WARNING: Best ML tree contains 111 near-zero branches!

Best ML tree with collapsed near-zero branches saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3.raxml.bestTreeCollapsed
Best ML tree saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/Q7L2E3/3_mltree/Q7L2E3.raxml.log

Analysis started: 01-Jul-2021 05:03:53 / finished: 01-Jul-2021 17:57:18

Elapsed time: 46404.947 seconds

Consumed energy: 4438.605 Wh (= 22 km in an electric car, or 111 km with an e-scooter!)