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) CPU E5-2690 v4 @ 2.60GHz, 28 cores, 251 GB RAM

RAxML-NG was called at 03-Jul-2021 01:42:22 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/2_msa/P38606_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/3_mltree/P38606 --seed 2 --threads 7 --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 (7 threads), thread pinning: OFF

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/2_msa/P38606_trimmed_msa.fasta
[00:00:00] Loaded alignment with 1001 taxa and 587 sites

WARNING: Sequences tr_B4Q4A8_B4Q4A8_DROSI_7240 and sp_P48602_VATA1_DROME_7227 are exactly identical!
WARNING: Sequences tr_B4Q4A8_B4Q4A8_DROSI_7240 and tr_B4IED7_B4IED7_DROSE_7238 are exactly identical!
WARNING: Sequences tr_F1NBW2_F1NBW2_CHICK_9031 and tr_G1NN61_G1NN61_MELGA_9103 are exactly identical!
WARNING: Sequences tr_M3XMI4_M3XMI4_MUSPF_9669 and tr_A0A2Y9JUN6_A0A2Y9JUN6_ENHLU_391180 are exactly identical!
WARNING: Sequences sp_Q27331_VATA2_DROME_7227 and tr_B4IED4_B4IED4_DROSE_7238 are exactly identical!
WARNING: Sequences tr_G1QXI7_G1QXI7_NOMLE_61853 and tr_G3QP75_G3QP75_GORGO_9595 are exactly identical!
WARNING: Sequences tr_G1QXI7_G1QXI7_NOMLE_61853 and tr_H2QN48_H2QN48_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G1QXI7_G1QXI7_NOMLE_61853 and sp_P38606_VATA_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G1QXI7_G1QXI7_NOMLE_61853 and tr_A0A2R9C8F6_A0A2R9C8F6_PANPA_9597 are exactly identical!
WARNING: Sequences tr_J3K854_J3K854_COCIM_246410 and tr_A0A0J6Y962_A0A0J6Y962_COCIT_404692 are exactly identical!
WARNING: Sequences tr_B2WLL8_B2WLL8_PYRTR_426418 and tr_A0A2W1FFE0_A0A2W1FFE0_9PLEO_45151 are exactly identical!
WARNING: Sequences tr_Q29L63_Q29L63_DROPS_46245 and tr_B4H8W3_B4H8W3_DROPE_7234 are exactly identical!
WARNING: Sequences tr_B8NQ65_B8NQ65_ASPFN_332952 and tr_Q2UAK5_Q2UAK5_ASPOR_510516 are exactly identical!
WARNING: Sequences tr_A0A179UB49_A0A179UB49_BLAGS_559298 and tr_C5GIJ6_C5GIJ6_AJEDR_559297 are exactly identical!
WARNING: Sequences tr_W5QDY5_W5QDY5_SHEEP_9940 and tr_D2HMA6_D2HMA6_AILME_9646 are exactly identical!
WARNING: Sequences tr_W5QDY5_W5QDY5_SHEEP_9940 and sp_P31404_VATA_BOVIN_9913 are exactly identical!
WARNING: Sequences tr_W5QDY5_W5QDY5_SHEEP_9940 and tr_M3X6U5_M3X6U5_FELCA_9685 are exactly identical!
WARNING: Sequences tr_W5QDY5_W5QDY5_SHEEP_9940 and tr_A0A2U4ABT0_A0A2U4ABT0_TURTR_9739 are exactly identical!
WARNING: Sequences tr_E9ELM7_E9ELM7_METRA_655844 and tr_A0A0D9PD98_A0A0D9PD98_METAN_1291518 are exactly identical!
WARNING: Sequences tr_A0A158NIQ0_A0A158NIQ0_ATTCE_12957 and tr_A0A195B5T9_A0A195B5T9_9HYME_520822 are exactly identical!
WARNING: Sequences tr_A0A0E0G252_A0A0E0G252_ORYNI_4536 and tr_B8AIK2_B8AIK2_ORYSI_39946 are exactly identical!
WARNING: Sequences tr_A0A0E0G252_A0A0E0G252_ORYNI_4536 and tr_I1NXR6_I1NXR6_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_A0A0E0G252_A0A0E0G252_ORYNI_4536 and tr_A0A0E0CGG4_A0A0E0CGG4_9ORYZ_40149 are exactly identical!
WARNING: Sequences tr_A0A0E0G252_A0A0E0G252_ORYNI_4536 and tr_A0A0E0NAK8_A0A0E0NAK8_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0G252_A0A0E0G252_ORYNI_4536 and tr_A0A0D9YN29_A0A0D9YN29_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A0E0G252_A0A0E0G252_ORYNI_4536 and tr_Q6EUQ9_Q6EUQ9_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_A0A0E0HUI6_A0A0E0HUI6_ORYNI_4536 and tr_A0A0E0E4U6_A0A0E0E4U6_9ORYZ_40149 are exactly identical!
WARNING: Sequences tr_A0A0E0HUI6_A0A0E0HUI6_ORYNI_4536 and tr_A0A0E0Q163_A0A0E0Q163_ORYRU_4529 are exactly identical!
WARNING: Sequences tr_A0A0E0HUI6_A0A0E0HUI6_ORYNI_4536 and tr_A0A0D3GJK3_A0A0D3GJK3_9ORYZ_65489 are exactly identical!
WARNING: Sequences tr_A0A0E0HUI6_A0A0E0HUI6_ORYNI_4536 and tr_A0A0E0ACU6_A0A0E0ACU6_9ORYZ_40148 are exactly identical!
WARNING: Sequences tr_A0A0E0HUI6_A0A0E0HUI6_ORYNI_4536 and tr_A0A0E0LEB8_A0A0E0LEB8_ORYPU_4537 are exactly identical!
WARNING: Sequences tr_A0A0K0JP76_A0A0K0JP76_BRUMA_6279 and tr_A0A0N4TUN1_A0A0N4TUN1_BRUPA_6280 are exactly identical!
WARNING: Sequences tr_A5AAF1_A5AAF1_ASPNC_425011 and tr_G3Y1B9_G3Y1B9_ASPNA_380704 are exactly identical!
WARNING: Sequences tr_A5AAF1_A5AAF1_ASPNC_425011 and tr_A0A319B8R4_A0A319B8R4_9EURO_1450533 are exactly identical!
WARNING: Sequences tr_F7HT50_F7HT50_MACMU_9544 and tr_A0A096NZ40_A0A096NZ40_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7HT50_F7HT50_MACMU_9544 and tr_A0A0D9R392_A0A0D9R392_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7HT50_F7HT50_MACMU_9544 and tr_A0A2K5YSE6_A0A2K5YSE6_MANLE_9568 are exactly identical!
WARNING: Sequences tr_G7XCF2_G7XCF2_ASPKW_1033177 and tr_A0A146FDV7_A0A146FDV7_9EURO_1069201 are exactly identical!
WARNING: Sequences tr_B8B107_B8B107_ORYSI_39946 and tr_I1Q4C4_I1Q4C4_ORYGL_4538 are exactly identical!
WARNING: Sequences tr_B8B107_B8B107_ORYSI_39946 and tr_Q651T8_Q651T8_ORYSJ_39947 are exactly identical!
WARNING: Sequences tr_H0ZT07_H0ZT07_TAEGU_59729 and tr_A0A218VD24_A0A218VD24_9PASE_299123 are exactly identical!
WARNING: Sequences tr_F9XI81_F9XI81_ZYMTI_336722 and tr_A0A0F4H1A0_A0A0F4H1A0_9PEZI_1047168 are exactly identical!
WARNING: Sequences tr_F9XI81_F9XI81_ZYMTI_336722 and tr_A0A1X7S2N9_A0A1X7S2N9_ZYMTR_1276538 are exactly identical!
WARNING: Sequences tr_E3LTL3_E3LTL3_CAERE_31234 and tr_A0A260ZGV2_A0A260ZGV2_9PELO_1503980 are exactly identical!
WARNING: Sequences tr_A0A0D2XD29_A0A0D2XD29_FUSO4_426428 and tr_X0D0U6_X0D0U6_FUSOX_1089458 are exactly identical!
WARNING: Sequences tr_A0A0D2XD29_A0A0D2XD29_FUSO4_426428 and tr_A0A2H3TCY8_A0A2H3TCY8_FUSOX_5507 are exactly identical!
WARNING: Sequences tr_A0A0D2XD29_A0A0D2XD29_FUSO4_426428 and tr_A0A2H3H6E6_A0A2H3H6E6_FUSOX_327505 are exactly identical!
WARNING: Sequences tr_F2PRV4_F2PRV4_TRIEC_559882 and tr_A0A059JHR9_A0A059JHR9_9EURO_1215338 are exactly identical!
WARNING: Sequences tr_M4CHF0_M4CHF0_BRARP_51351 and tr_A0A078J319_A0A078J319_BRANA_3708 are exactly identical!
WARNING: Sequences tr_M4CHF0_M4CHF0_BRARP_51351 and tr_A0A0D3ARK5_A0A0D3ARK5_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_M4CHF0_M4CHF0_BRARP_51351 and tr_A0A0D3CVY0_A0A0D3CVY0_BRAOL_109376 are exactly identical!
WARNING: Sequences tr_S2JF96_S2JF96_MUCC1_1220926 and tr_A0A168H661_A0A168H661_MUCCL_747725 are exactly identical!
WARNING: Sequences tr_M8A7G5_M8A7G5_TRIUA_4572 and tr_A0A341Y4U2_A0A341Y4U2_WHEAT_4565 are exactly identical!
WARNING: Sequences tr_M2UWW4_M2UWW4_COCH5_701091 and tr_W6XUV9_W6XUV9_COCCA_930089 are exactly identical!
WARNING: Sequences tr_M2UWW4_M2UWW4_COCH5_701091 and tr_W6ZBD7_W6ZBD7_COCMI_930090 are exactly identical!
WARNING: Sequences tr_V2YYQ5_V2YYQ5_MONRO_1381753 and tr_A0A0W0G808_A0A0W0G808_9AGAR_221103 are exactly identical!
WARNING: Sequences tr_W2PNG4_W2PNG4_PHYPN_761204 and tr_A0A0W8DD57_A0A0W8DD57_PHYNI_4790 are exactly identical!
WARNING: Sequences tr_W2PNG4_W2PNG4_PHYPN_761204 and tr_W2I7V0_W2I7V0_PHYPR_4792 are exactly identical!
WARNING: Sequences tr_A0A015I8Z6_A0A015I8Z6_9GLOM_1432141 and tr_U9T4G7_U9T4G7_RHIID_747089 are exactly identical!
WARNING: Sequences tr_A0A044UHB3_A0A044UHB3_ONCVO_6282 and tr_A0A182E0A7_A0A182E0A7_ONCOC_42157 are exactly identical!
WARNING: Sequences tr_A0A094DZR3_A0A094DZR3_9PEZI_1420912 and tr_A0A1B8GJ53_A0A1B8GJ53_9PEZI_342668 are exactly identical!
WARNING: Sequences tr_A0A0A2VM99_A0A0A2VM99_BEABA_1245745 and tr_A0A2N6N981_A0A2N6N981_BEABA_176275 are exactly identical!
WARNING: Sequences tr_V4TDB5_V4TDB5_9ROSI_85681 and tr_A0A2H5QI51_A0A2H5QI51_CITUN_55188 are exactly identical!
WARNING: Sequences tr_A0A0D2UKJ6_A0A0D2UKJ6_GOSRA_29730 and tr_A0A1U8JEW0_A0A1U8JEW0_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A0D2VGB5_A0A0D2VGB5_GOSRA_29730 and tr_A0A1U8LWB2_A0A1U8LWB2_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A0D2VGB5_A0A0D2VGB5_GOSRA_29730 and sp_P31405_VATA_GOSHI_3635 are exactly identical!
WARNING: Sequences tr_A0A0E9NHQ4_A0A0E9NHQ4_SAICN_698492 and tr_A0A0E9NIJ0_A0A0E9NIJ0_SAICN_698492 are exactly identical!
WARNING: Sequences tr_A0A0F8U2I0_A0A0F8U2I0_9EURO_308745 and tr_A0A2T5LXZ2_A0A2T5LXZ2_9EURO_1392256 are exactly identical!
WARNING: Sequences tr_A0A0G4MCC8_A0A0G4MCC8_9PEZI_100787 and tr_A0A0G4ML58_A0A0G4ML58_9PEZI_100787 are exactly identical!
WARNING: Sequences tr_A0A151MRI5_A0A151MRI5_ALLMI_8496 and tr_A0A3Q0HF54_A0A3Q0HF54_ALLSI_38654 are exactly identical!
WARNING: Sequences tr_A0A091FS63_A0A091FS63_9AVES_55661 and tr_A0A0A0A398_A0A0A0A398_CHAVO_50402 are exactly identical!
WARNING: Sequences tr_A0A091FS63_A0A091FS63_9AVES_55661 and tr_A0A093GH49_A0A093GH49_DRYPU_118200 are exactly identical!
WARNING: Sequences tr_A0A2I0MLM3_A0A2I0MLM3_COLLI_8932 and tr_A0A1V4JAR4_A0A1V4JAR4_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A0L0T0P7_A0A0L0T0P7_ALLMA_578462 and tr_A0A0L0TBZ7_A0A0L0TBZ7_ALLMA_578462 are exactly identical!
WARNING: Sequences tr_A0A0V0RMI1_A0A0V0RMI1_9BILA_6336 and tr_A0A0V1CFM8_A0A0V1CFM8_TRIBR_45882 are exactly identical!
WARNING: Sequences tr_A0A0V0RMI1_A0A0V0RMI1_9BILA_6336 and tr_A0A0V0UST5_A0A0V0UST5_9BILA_181606 are exactly identical!
WARNING: Sequences tr_A0A0V0RMI1_A0A0V0RMI1_9BILA_6336 and tr_A0A0V0ZCF5_A0A0V0ZCF5_9BILA_990121 are exactly identical!
WARNING: Sequences tr_A0A0V0RMI1_A0A0V0RMI1_9BILA_6336 and tr_A0A0V0TVF9_A0A0V0TVF9_9BILA_144512 are exactly identical!
WARNING: Sequences tr_A0A0V0WAV0_A0A0V0WAV0_9BILA_92179 and tr_A0A0V1LTU2_A0A0V1LTU2_9BILA_6335 are exactly identical!
WARNING: Sequences tr_A0A0V0WAV0_A0A0V0WAV0_9BILA_92179 and tr_A0A0V1NX46_A0A0V1NX46_9BILA_92180 are exactly identical!
WARNING: Sequences tr_A0A100IAC4_A0A100IAC4_ASPNG_5061 and tr_A0A1L9N8L5_A0A1L9N8L5_ASPTU_767770 are exactly identical!
WARNING: Sequences tr_I1RS90_I1RS90_GIBZE_229533 and tr_A0A2T4H0R1_A0A2T4H0R1_FUSCU_5516 are exactly identical!
WARNING: Sequences tr_A0A165AMI1_A0A165AMI1_9HOMO_1314777 and tr_A0A166GX69_A0A166GX69_9HOMO_1314776 are exactly identical!
WARNING: Sequences tr_A0A1S4D8F1_A0A1S4D8F1_TOBAC_4097 and tr_A0A314LFL7_A0A314LFL7_NICAT_49451 are exactly identical!
WARNING: Sequences tr_A0A1S4D8F1_A0A1S4D8F1_TOBAC_4097 and tr_A0A1U7W155_A0A1U7W155_NICSY_4096 are exactly identical!
WARNING: Sequences tr_A0A1S3L1F9_A0A1S3L1F9_SALSA_8030 and tr_A0A060WNR9_A0A060WNR9_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1V8UYC3_A0A1V8UYC3_9PEZI_1974281 and tr_A0A1V8V189_A0A1V8V189_9PEZI_1974281 are exactly identical!
WARNING: Sequences tr_A0A1V8UYC3_A0A1V8UYC3_9PEZI_1974281 and tr_A0A1V8TUN8_A0A1V8TUN8_9PEZI_1507870 are exactly identical!
WARNING: Sequences tr_A0A1Y2AKW4_A0A1Y2AKW4_9FUNG_1754190 and tr_A0A1Y2D6V6_A0A1Y2D6V6_9FUNG_1754190 are exactly identical!
WARNING: Sequences tr_A0A2H3CR35_A0A2H3CR35_9AGAR_1076256 and tr_A0A284R6Z5_A0A284R6Z5_9AGAR_47428 are exactly identical!
WARNING: Sequences tr_A0A1U8FAN4_A0A1U8FAN4_CAPAN_4072 and tr_A0A2G3C8C8_A0A2G3C8C8_CAPCH_80379 are exactly identical!
WARNING: Duplicate sequences found: 91

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/P38606/3_mltree/P38606.raxml.reduced.phy

Alignment comprises 1 partitions and 586 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 587 / 586
Gaps: 1.32 %
Invariant sites: 6.81 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/3_mltree/P38606.raxml.rba

Parallelization scheme autoconfig: 1 worker(s) x 7 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 / 84 / 6720
[00:00:00] Data distribution: max. searches per worker: 20

Starting ML tree search with 20 distinct starting trees

[00:00:00 -539545.628686] Initial branch length optimization
[00:00:04 -470626.334668] Model parameter optimization (eps = 10.000000)
[00:00:29 -470475.662433] AUTODETECT spr round 1 (radius: 5)
[00:02:20 -294549.152635] AUTODETECT spr round 2 (radius: 10)
[00:04:21 -205813.976841] AUTODETECT spr round 3 (radius: 15)
[00:06:19 -166961.636855] AUTODETECT spr round 4 (radius: 20)
[00:08:33 -156324.692638] AUTODETECT spr round 5 (radius: 25)
[00:10:56 -155369.724456] SPR radius for FAST iterations: 25 (autodetect)
[00:10:56 -155369.724456] Model parameter optimization (eps = 3.000000)
[00:11:12 -155244.359232] FAST spr round 1 (radius: 25)
[00:13:21 -133597.704240] FAST spr round 2 (radius: 25)
[00:15:06 -132800.526371] FAST spr round 3 (radius: 25)
[00:16:39 -132729.411244] FAST spr round 4 (radius: 25)
[00:18:02 -132718.968958] FAST spr round 5 (radius: 25)
[00:19:22 -132713.067406] FAST spr round 6 (radius: 25)
[00:20:40 -132713.066876] Model parameter optimization (eps = 1.000000)
[00:20:50 -132710.270475] SLOW spr round 1 (radius: 5)
[00:22:42 -132660.905699] SLOW spr round 2 (radius: 5)
[00:24:31 -132649.481481] SLOW spr round 3 (radius: 5)
[00:26:19 -132629.184372] SLOW spr round 4 (radius: 5)
[00:28:01 -132626.143898] SLOW spr round 5 (radius: 5)
[00:29:40 -132626.143746] SLOW spr round 6 (radius: 10)
[00:31:21 -132626.143367] SLOW spr round 7 (radius: 15)
[00:34:03 -132626.143365] SLOW spr round 8 (radius: 20)
[00:37:30 -132626.143364] SLOW spr round 9 (radius: 25)
[00:41:29 -132626.143363] Model parameter optimization (eps = 0.100000)

[00:41:38] ML tree search #1, logLikelihood: -132625.890152

[00:41:38 -537028.706665] Initial branch length optimization
[00:41:42 -467823.209447] Model parameter optimization (eps = 10.000000)
[00:42:08 -467681.749247] AUTODETECT spr round 1 (radius: 5)
[00:44:00 -301302.385697] AUTODETECT spr round 2 (radius: 10)
[00:46:08 -215984.168190] AUTODETECT spr round 3 (radius: 15)
[00:48:10 -174693.888829] AUTODETECT spr round 4 (radius: 20)
[00:50:23 -161117.534597] AUTODETECT spr round 5 (radius: 25)
[00:53:01 -158093.968775] SPR radius for FAST iterations: 25 (autodetect)
[00:53:01 -158093.968775] Model parameter optimization (eps = 3.000000)
[00:53:08 -158088.069603] FAST spr round 1 (radius: 25)
[00:55:15 -134340.944337] FAST spr round 2 (radius: 25)
[00:56:58 -132897.572641] FAST spr round 3 (radius: 25)
[00:58:32 -132798.747825] FAST spr round 4 (radius: 25)
[00:59:59 -132784.911610] FAST spr round 5 (radius: 25)
[01:01:19 -132784.354050] FAST spr round 6 (radius: 25)
[01:02:38 -132784.353774] Model parameter optimization (eps = 1.000000)
[01:02:53 -132682.855239] SLOW spr round 1 (radius: 5)
[01:04:43 -132636.699408] SLOW spr round 2 (radius: 5)
[01:06:29 -132625.038306] SLOW spr round 3 (radius: 5)
[01:08:09 -132625.038151] SLOW spr round 4 (radius: 10)
[01:09:51 -132622.358183] SLOW spr round 5 (radius: 5)
[01:11:58 -132615.723164] SLOW spr round 6 (radius: 5)
[01:13:52 -132615.386943] SLOW spr round 7 (radius: 5)
[01:15:37 -132613.281266] SLOW spr round 8 (radius: 5)
[01:17:19 -132613.281250] SLOW spr round 9 (radius: 10)
[01:19:00 -132613.281248] SLOW spr round 10 (radius: 15)
[01:21:39 -132613.281246] SLOW spr round 11 (radius: 20)
[01:25:05 -132613.281245] SLOW spr round 12 (radius: 25)
[01:29:10 -132613.281243] Model parameter optimization (eps = 0.100000)

[01:29:17] ML tree search #2, logLikelihood: -132613.153437

[01:29:17 -533221.585981] Initial branch length optimization
[01:29:21 -466083.353062] Model parameter optimization (eps = 10.000000)
[01:29:43 -465960.154089] AUTODETECT spr round 1 (radius: 5)
[01:31:37 -289138.861906] AUTODETECT spr round 2 (radius: 10)
[01:33:32 -208764.730346] AUTODETECT spr round 3 (radius: 15)
[01:35:32 -173891.509957] AUTODETECT spr round 4 (radius: 20)
[01:37:47 -155823.331942] AUTODETECT spr round 5 (radius: 25)
[01:40:38 -153401.910648] SPR radius for FAST iterations: 25 (autodetect)
[01:40:38 -153401.910648] Model parameter optimization (eps = 3.000000)
[01:40:54 -153289.000142] FAST spr round 1 (radius: 25)
[01:43:00 -133565.477387] FAST spr round 2 (radius: 25)
[01:44:41 -132775.779468] FAST spr round 3 (radius: 25)
[01:46:11 -132691.711408] FAST spr round 4 (radius: 25)
[01:47:34 -132675.031691] FAST spr round 5 (radius: 25)
[01:48:55 -132674.240784] FAST spr round 6 (radius: 25)
[01:50:15 -132670.698915] FAST spr round 7 (radius: 25)
[01:51:33 -132670.698476] Model parameter optimization (eps = 1.000000)
[01:51:39 -132670.157223] SLOW spr round 1 (radius: 5)
[01:53:29 -132639.275821] SLOW spr round 2 (radius: 5)
[01:55:13 -132635.441820] SLOW spr round 3 (radius: 5)
[01:56:52 -132635.441807] SLOW spr round 4 (radius: 10)
[01:58:34 -132634.924605] SLOW spr round 5 (radius: 5)
[02:00:38 -132634.407194] SLOW spr round 6 (radius: 5)
[02:02:30 -132634.407171] SLOW spr round 7 (radius: 10)
[02:04:13 -132634.407171] SLOW spr round 8 (radius: 15)
[02:06:52 -132633.135771] SLOW spr round 9 (radius: 5)
[02:09:03 -132633.135469] SLOW spr round 10 (radius: 10)
[02:11:00 -132633.135469] SLOW spr round 11 (radius: 15)
[02:13:31 -132633.135469] SLOW spr round 12 (radius: 20)
[02:17:15 -132633.135469] SLOW spr round 13 (radius: 25)
[02:21:40 -132633.135469] Model parameter optimization (eps = 0.100000)

[02:21:46] ML tree search #3, logLikelihood: -132633.038643

[02:21:46 -535024.825551] Initial branch length optimization
[02:21:52 -468214.461275] Model parameter optimization (eps = 10.000000)
[02:22:22 -468089.813553] AUTODETECT spr round 1 (radius: 5)
[02:24:19 -297300.209341] AUTODETECT spr round 2 (radius: 10)
[02:26:18 -210269.567721] AUTODETECT spr round 3 (radius: 15)
[02:28:19 -169183.571882] AUTODETECT spr round 4 (radius: 20)
[02:30:39 -159152.847331] AUTODETECT spr round 5 (radius: 25)
[02:33:17 -155673.820497] SPR radius for FAST iterations: 25 (autodetect)
[02:33:17 -155673.820497] Model parameter optimization (eps = 3.000000)
[02:33:37 -155488.206399] FAST spr round 1 (radius: 25)
[02:35:43 -133553.475866] FAST spr round 2 (radius: 25)
[02:37:26 -132737.131484] FAST spr round 3 (radius: 25)
[02:39:01 -132684.422215] FAST spr round 4 (radius: 25)
[02:40:25 -132679.160841] FAST spr round 5 (radius: 25)
[02:41:46 -132674.452067] FAST spr round 6 (radius: 25)
[02:43:05 -132674.446693] Model parameter optimization (eps = 1.000000)
[02:43:19 -132671.146707] SLOW spr round 1 (radius: 5)
[02:45:13 -132630.719767] SLOW spr round 2 (radius: 5)
[02:46:59 -132614.924013] SLOW spr round 3 (radius: 5)
[02:48:43 -132609.963291] SLOW spr round 4 (radius: 5)
[02:50:23 -132609.962299] SLOW spr round 5 (radius: 10)
[02:52:04 -132609.961997] SLOW spr round 6 (radius: 15)
[02:54:44 -132609.961950] SLOW spr round 7 (radius: 20)
[02:58:15 -132609.961940] SLOW spr round 8 (radius: 25)
[03:02:22 -132609.961930] Model parameter optimization (eps = 0.100000)

[03:02:32] ML tree search #4, logLikelihood: -132609.034118

[03:02:32 -532011.470918] Initial branch length optimization
[03:02:36 -465248.546493] Model parameter optimization (eps = 10.000000)
[03:03:04 -465126.007487] AUTODETECT spr round 1 (radius: 5)
[03:04:56 -291533.623441] AUTODETECT spr round 2 (radius: 10)
[03:06:54 -216370.387180] AUTODETECT spr round 3 (radius: 15)
[03:09:05 -172016.092916] AUTODETECT spr round 4 (radius: 20)
[03:11:30 -156299.468289] AUTODETECT spr round 5 (radius: 25)
[03:14:24 -154447.280319] SPR radius for FAST iterations: 25 (autodetect)
[03:14:24 -154447.280319] Model parameter optimization (eps = 3.000000)
[03:14:41 -154317.292532] FAST spr round 1 (radius: 25)
[03:16:48 -133437.283370] FAST spr round 2 (radius: 25)
[03:18:29 -132721.233805] FAST spr round 3 (radius: 25)
[03:20:00 -132686.145604] FAST spr round 4 (radius: 25)
[03:21:22 -132683.059624] FAST spr round 5 (radius: 25)
[03:22:42 -132683.059434] Model parameter optimization (eps = 1.000000)
[03:22:52 -132680.088100] SLOW spr round 1 (radius: 5)
[03:24:45 -132635.552029] SLOW spr round 2 (radius: 5)
[03:26:33 -132625.419305] SLOW spr round 3 (radius: 5)
[03:28:17 -132621.341132] SLOW spr round 4 (radius: 5)
[03:29:57 -132621.341035] SLOW spr round 5 (radius: 10)
[03:31:40 -132621.341035] SLOW spr round 6 (radius: 15)
[03:34:24 -132621.341035] SLOW spr round 7 (radius: 20)
[03:38:12 -132621.341034] SLOW spr round 8 (radius: 25)
[03:43:02 -132621.341034] Model parameter optimization (eps = 0.100000)

[03:43:08] ML tree search #5, logLikelihood: -132621.303819

[03:43:08 -534822.930538] Initial branch length optimization
[03:43:11 -464671.638115] Model parameter optimization (eps = 10.000000)
[03:43:33 -464549.842949] AUTODETECT spr round 1 (radius: 5)
[03:45:29 -292156.945710] AUTODETECT spr round 2 (radius: 10)
[03:47:29 -218646.176557] AUTODETECT spr round 3 (radius: 15)
[03:49:28 -187017.800861] AUTODETECT spr round 4 (radius: 20)
[03:51:52 -170922.384444] AUTODETECT spr round 5 (radius: 25)
[03:54:25 -164059.323938] SPR radius for FAST iterations: 25 (autodetect)
[03:54:25 -164059.323938] Model parameter optimization (eps = 3.000000)
[03:54:41 -163897.512315] FAST spr round 1 (radius: 25)
[03:56:49 -134559.340819] FAST spr round 2 (radius: 25)
[03:58:26 -132772.100032] FAST spr round 3 (radius: 25)
[03:59:57 -132715.091320] FAST spr round 4 (radius: 25)
[04:01:23 -132705.393217] FAST spr round 5 (radius: 25)
[04:02:44 -132704.413559] FAST spr round 6 (radius: 25)
[04:04:05 -132702.283179] FAST spr round 7 (radius: 25)
[04:05:25 -132702.283166] Model parameter optimization (eps = 1.000000)
[04:05:35 -132701.336370] SLOW spr round 1 (radius: 5)
[04:07:24 -132671.522692] SLOW spr round 2 (radius: 5)
[04:09:09 -132659.254644] SLOW spr round 3 (radius: 5)
[04:10:53 -132652.806989] SLOW spr round 4 (radius: 5)
[04:12:34 -132652.805934] SLOW spr round 5 (radius: 10)
[04:14:18 -132651.390215] SLOW spr round 6 (radius: 5)
[04:16:26 -132647.448666] SLOW spr round 7 (radius: 5)
[04:18:22 -132643.823004] SLOW spr round 8 (radius: 5)
[04:20:09 -132643.823004] SLOW spr round 9 (radius: 10)
[04:21:52 -132643.823004] SLOW spr round 10 (radius: 15)
[04:24:34 -132643.823004] SLOW spr round 11 (radius: 20)
[04:28:05 -132643.823003] SLOW spr round 12 (radius: 25)
[04:32:16 -132643.823003] Model parameter optimization (eps = 0.100000)

[04:32:24] ML tree search #6, logLikelihood: -132643.538479

[04:32:24 -535469.771220] Initial branch length optimization
[04:32:28 -467263.488915] Model parameter optimization (eps = 10.000000)
[04:32:49 -467132.239950] AUTODETECT spr round 1 (radius: 5)
[04:34:41 -294073.610092] AUTODETECT spr round 2 (radius: 10)
[04:36:34 -209592.037755] AUTODETECT spr round 3 (radius: 15)
[04:38:38 -168003.034921] AUTODETECT spr round 4 (radius: 20)
[04:41:02 -159757.817305] AUTODETECT spr round 5 (radius: 25)
[04:43:46 -157878.995849] SPR radius for FAST iterations: 25 (autodetect)
[04:43:46 -157878.995849] Model parameter optimization (eps = 3.000000)
[04:44:04 -157750.844064] FAST spr round 1 (radius: 25)
[04:46:12 -133477.336937] FAST spr round 2 (radius: 25)
[04:47:51 -132765.252345] FAST spr round 3 (radius: 25)
[04:49:23 -132700.347774] FAST spr round 4 (radius: 25)
[04:50:47 -132688.254966] FAST spr round 5 (radius: 25)
[04:52:08 -132688.253585] Model parameter optimization (eps = 1.000000)
[04:52:16 -132686.763305] SLOW spr round 1 (radius: 5)
[04:54:08 -132657.374405] SLOW spr round 2 (radius: 5)
[04:55:55 -132652.844997] SLOW spr round 3 (radius: 5)
[04:57:39 -132651.929729] SLOW spr round 4 (radius: 5)
[04:59:20 -132651.929723] SLOW spr round 5 (radius: 10)
[05:01:04 -132643.764450] SLOW spr round 6 (radius: 5)
[05:03:15 -132628.499586] SLOW spr round 7 (radius: 5)
[05:05:10 -132621.999941] SLOW spr round 8 (radius: 5)
[05:06:56 -132621.999937] SLOW spr round 9 (radius: 10)
[05:08:39 -132618.753292] SLOW spr round 10 (radius: 5)
[05:10:47 -132612.564158] SLOW spr round 11 (radius: 5)
[05:12:40 -132612.564066] SLOW spr round 12 (radius: 10)
[05:14:24 -132612.564066] SLOW spr round 13 (radius: 15)
[05:16:58 -132612.564066] SLOW spr round 14 (radius: 20)
[05:20:16 -132612.564066] SLOW spr round 15 (radius: 25)
[05:24:03 -132612.564066] Model parameter optimization (eps = 0.100000)

[05:24:09] ML tree search #7, logLikelihood: -132612.478338

[05:24:10 -536795.550366] Initial branch length optimization
[05:24:14 -468455.831707] Model parameter optimization (eps = 10.000000)
[05:24:36 -468316.469488] AUTODETECT spr round 1 (radius: 5)
[05:26:29 -293714.024350] AUTODETECT spr round 2 (radius: 10)
[05:28:29 -219255.103214] AUTODETECT spr round 3 (radius: 15)
[05:30:30 -181394.390346] AUTODETECT spr round 4 (radius: 20)
[05:32:55 -163755.320923] AUTODETECT spr round 5 (radius: 25)
[05:35:42 -159104.778206] SPR radius for FAST iterations: 25 (autodetect)
[05:35:42 -159104.778206] Model parameter optimization (eps = 3.000000)
[05:36:02 -158930.437604] FAST spr round 1 (radius: 25)
[05:38:09 -134159.462109] FAST spr round 2 (radius: 25)
[05:39:54 -132760.769226] FAST spr round 3 (radius: 25)
[05:41:25 -132695.500059] FAST spr round 4 (radius: 25)
[05:42:49 -132687.414719] FAST spr round 5 (radius: 25)
[05:44:10 -132687.413283] Model parameter optimization (eps = 1.000000)
[05:44:23 -132678.594696] SLOW spr round 1 (radius: 5)
[05:46:17 -132633.294724] SLOW spr round 2 (radius: 5)
[05:48:04 -132625.677681] SLOW spr round 3 (radius: 5)
[05:49:48 -132625.676937] SLOW spr round 4 (radius: 10)
[05:51:31 -132622.318527] SLOW spr round 5 (radius: 5)
[05:53:39 -132620.182682] SLOW spr round 6 (radius: 5)
[05:55:32 -132620.182580] SLOW spr round 7 (radius: 10)
[05:57:17 -132620.182579] SLOW spr round 8 (radius: 15)
[05:59:52 -132620.182579] SLOW spr round 9 (radius: 20)
[06:03:17 -132620.182578] SLOW spr round 10 (radius: 25)
[06:07:13 -132620.182578] Model parameter optimization (eps = 0.100000)

[06:07:21] ML tree search #8, logLikelihood: -132620.144471

[06:07:21 -534415.753931] Initial branch length optimization
[06:07:26 -465999.700873] Model parameter optimization (eps = 10.000000)
[06:07:49 -465894.029866] AUTODETECT spr round 1 (radius: 5)
[06:09:42 -296950.278801] AUTODETECT spr round 2 (radius: 10)
[06:11:44 -214679.094058] AUTODETECT spr round 3 (radius: 15)
[06:13:47 -178522.272941] AUTODETECT spr round 4 (radius: 20)
[06:15:53 -159037.553537] AUTODETECT spr round 5 (radius: 25)
[06:18:26 -154576.255534] SPR radius for FAST iterations: 25 (autodetect)
[06:18:26 -154576.255534] Model parameter optimization (eps = 3.000000)
[06:18:43 -154482.527666] FAST spr round 1 (radius: 25)
[06:20:46 -133638.326316] FAST spr round 2 (radius: 25)
[06:22:28 -132774.448362] FAST spr round 3 (radius: 25)
[06:24:00 -132696.448795] FAST spr round 4 (radius: 25)
[06:25:24 -132684.662658] FAST spr round 5 (radius: 25)
[06:26:45 -132681.212901] FAST spr round 6 (radius: 25)
[06:28:05 -132681.212873] Model parameter optimization (eps = 1.000000)
[06:28:11 -132680.586591] SLOW spr round 1 (radius: 5)
[06:30:00 -132654.648590] SLOW spr round 2 (radius: 5)
[06:31:45 -132648.590152] SLOW spr round 3 (radius: 5)
[06:33:26 -132648.589878] SLOW spr round 4 (radius: 10)
[06:35:08 -132641.831229] SLOW spr round 5 (radius: 5)
[06:37:13 -132641.831186] SLOW spr round 6 (radius: 10)
[06:39:03 -132641.831163] SLOW spr round 7 (radius: 15)
[06:41:28 -132641.831150] SLOW spr round 8 (radius: 20)
[06:44:48 -132641.831142] SLOW spr round 9 (radius: 25)
[06:48:35 -132641.831137] Model parameter optimization (eps = 0.100000)

[06:48:40] ML tree search #9, logLikelihood: -132641.766082

[06:48:40 -539431.059359] Initial branch length optimization
[06:48:45 -471722.882417] Model parameter optimization (eps = 10.000000)
[06:49:11 -471576.981706] AUTODETECT spr round 1 (radius: 5)
[06:51:04 -294167.741012] AUTODETECT spr round 2 (radius: 10)
[06:53:07 -210204.543923] AUTODETECT spr round 3 (radius: 15)
[06:55:08 -183626.433540] AUTODETECT spr round 4 (radius: 20)
[06:57:33 -161466.297325] AUTODETECT spr round 5 (radius: 25)
[07:00:03 -157425.773056] SPR radius for FAST iterations: 25 (autodetect)
[07:00:03 -157425.773056] Model parameter optimization (eps = 3.000000)
[07:00:23 -157293.288530] FAST spr round 1 (radius: 25)
[07:02:28 -133961.141363] FAST spr round 2 (radius: 25)
[07:04:05 -132808.351995] FAST spr round 3 (radius: 25)
[07:05:36 -132693.659765] FAST spr round 4 (radius: 25)
[07:06:58 -132693.658544] Model parameter optimization (eps = 1.000000)
[07:07:04 -132693.446912] SLOW spr round 1 (radius: 5)
[07:08:58 -132669.208712] SLOW spr round 2 (radius: 5)
[07:10:47 -132664.779256] SLOW spr round 3 (radius: 5)
[07:12:29 -132663.767903] SLOW spr round 4 (radius: 5)
[07:14:11 -132663.767593] SLOW spr round 5 (radius: 10)
[07:15:54 -132657.546553] SLOW spr round 6 (radius: 5)
[07:18:03 -132643.071488] SLOW spr round 7 (radius: 5)
[07:19:55 -132643.071453] SLOW spr round 8 (radius: 10)
[07:21:38 -132643.071439] SLOW spr round 9 (radius: 15)
[07:24:12 -132643.071429] SLOW spr round 10 (radius: 20)
[07:27:33 -132643.071420] SLOW spr round 11 (radius: 25)
[07:31:28 -132643.071412] Model parameter optimization (eps = 0.100000)

[07:31:33] ML tree search #10, logLikelihood: -132643.037862

[07:31:33 -533938.169011] Initial branch length optimization
[07:31:38 -464622.821566] Model parameter optimization (eps = 10.000000)
[07:32:01 -464454.289225] AUTODETECT spr round 1 (radius: 5)
[07:33:53 -296246.114517] AUTODETECT spr round 2 (radius: 10)
[07:35:56 -209069.161913] AUTODETECT spr round 3 (radius: 15)
[07:37:58 -181194.068195] AUTODETECT spr round 4 (radius: 20)
[07:40:14 -173311.567423] AUTODETECT spr round 5 (radius: 25)
[07:42:42 -169104.721724] SPR radius for FAST iterations: 25 (autodetect)
[07:42:42 -169104.721724] Model parameter optimization (eps = 3.000000)
[07:43:03 -168921.047030] FAST spr round 1 (radius: 25)
[07:45:12 -135960.042450] FAST spr round 2 (radius: 25)
[07:46:59 -133674.053414] FAST spr round 3 (radius: 25)
[07:48:31 -132943.027392] FAST spr round 4 (radius: 25)
[07:50:01 -132673.951694] FAST spr round 5 (radius: 25)
[07:51:25 -132666.118505] FAST spr round 6 (radius: 25)
[07:52:46 -132658.437325] FAST spr round 7 (radius: 25)
[07:54:05 -132658.437256] Model parameter optimization (eps = 1.000000)
[07:54:11 -132657.619886] SLOW spr round 1 (radius: 5)
[07:56:00 -132642.193572] SLOW spr round 2 (radius: 5)
[07:57:45 -132641.688636] SLOW spr round 3 (radius: 5)
[07:59:29 -132641.688541] SLOW spr round 4 (radius: 10)
[08:01:12 -132632.365333] SLOW spr round 5 (radius: 5)
[08:03:20 -132627.993468] SLOW spr round 6 (radius: 5)
[08:05:14 -132626.276004] SLOW spr round 7 (radius: 5)
[08:07:00 -132626.275951] SLOW spr round 8 (radius: 10)
[08:08:44 -132626.275951] SLOW spr round 9 (radius: 15)
[08:11:22 -132626.275951] SLOW spr round 10 (radius: 20)
[08:14:47 -132626.275951] SLOW spr round 11 (radius: 25)
[08:18:43 -132626.275951] Model parameter optimization (eps = 0.100000)

[08:18:48] ML tree search #11, logLikelihood: -132626.230733

[08:18:48 -536949.598542] Initial branch length optimization
[08:18:52 -465728.469020] Model parameter optimization (eps = 10.000000)
[08:19:15 -465589.977182] AUTODETECT spr round 1 (radius: 5)
[08:21:07 -296315.277189] AUTODETECT spr round 2 (radius: 10)
[08:23:10 -217690.689272] AUTODETECT spr round 3 (radius: 15)
[08:25:12 -182460.633545] AUTODETECT spr round 4 (radius: 20)
[08:27:25 -166926.644954] AUTODETECT spr round 5 (radius: 25)
[08:30:21 -158123.639543] SPR radius for FAST iterations: 25 (autodetect)
[08:30:21 -158123.639543] Model parameter optimization (eps = 3.000000)
[08:30:43 -157921.983097] FAST spr round 1 (radius: 25)
[08:32:50 -133841.916931] FAST spr round 2 (radius: 25)
[08:34:34 -132774.894162] FAST spr round 3 (radius: 25)
[08:36:06 -132707.631320] FAST spr round 4 (radius: 25)
[08:37:33 -132695.684052] FAST spr round 5 (radius: 25)
[08:38:56 -132695.680784] Model parameter optimization (eps = 1.000000)
[08:39:10 -132685.954123] SLOW spr round 1 (radius: 5)
[08:41:02 -132642.625726] SLOW spr round 2 (radius: 5)
[08:42:50 -132626.780897] SLOW spr round 3 (radius: 5)
[08:44:35 -132624.250606] SLOW spr round 4 (radius: 5)
[08:46:16 -132624.250542] SLOW spr round 5 (radius: 10)
[08:47:58 -132624.250530] SLOW spr round 6 (radius: 15)
[08:50:33 -132624.250530] SLOW spr round 7 (radius: 20)
[08:53:53 -132624.250530] SLOW spr round 8 (radius: 25)
[08:57:48 -132624.250530] Model parameter optimization (eps = 0.100000)

[08:57:53] ML tree search #12, logLikelihood: -132624.234986

[08:57:53 -534538.506955] Initial branch length optimization
[08:57:59 -465591.429712] Model parameter optimization (eps = 10.000000)
[08:58:23 -465468.012014] AUTODETECT spr round 1 (radius: 5)
[09:00:18 -293797.602283] AUTODETECT spr round 2 (radius: 10)
[09:02:20 -214323.410711] AUTODETECT spr round 3 (radius: 15)
[09:04:17 -178813.007061] AUTODETECT spr round 4 (radius: 20)
[09:06:33 -167433.439149] AUTODETECT spr round 5 (radius: 25)
[09:09:18 -159973.173873] SPR radius for FAST iterations: 25 (autodetect)
[09:09:18 -159973.173873] Model parameter optimization (eps = 3.000000)
[09:09:34 -159848.254252] FAST spr round 1 (radius: 25)
[09:11:42 -133911.289596] FAST spr round 2 (radius: 25)
[09:13:22 -132769.445676] FAST spr round 3 (radius: 25)
[09:14:56 -132668.054609] FAST spr round 4 (radius: 25)
[09:16:21 -132664.602507] FAST spr round 5 (radius: 25)
[09:17:42 -132662.216316] FAST spr round 6 (radius: 25)
[09:19:02 -132662.216195] Model parameter optimization (eps = 1.000000)
[09:19:11 -132661.059488] SLOW spr round 1 (radius: 5)
[09:20:59 -132629.431871] SLOW spr round 2 (radius: 5)
[09:22:45 -132618.622072] SLOW spr round 3 (radius: 5)
[09:24:31 -132613.801603] SLOW spr round 4 (radius: 5)
[09:26:13 -132613.801504] SLOW spr round 5 (radius: 10)
[09:27:53 -132613.801466] SLOW spr round 6 (radius: 15)
[09:30:31 -132613.801444] SLOW spr round 7 (radius: 20)
[09:33:46 -132613.801431] SLOW spr round 8 (radius: 25)
[09:37:33 -132613.801423] Model parameter optimization (eps = 0.100000)

[09:37:38] ML tree search #13, logLikelihood: -132613.768575

[09:37:38 -535534.333616] Initial branch length optimization
[09:37:45 -466783.959140] Model parameter optimization (eps = 10.000000)
[09:38:08 -466626.702101] AUTODETECT spr round 1 (radius: 5)
[09:40:02 -293114.870246] AUTODETECT spr round 2 (radius: 10)
[09:41:58 -209173.934727] AUTODETECT spr round 3 (radius: 15)
[09:43:59 -177392.187993] AUTODETECT spr round 4 (radius: 20)
[09:46:27 -162789.201331] AUTODETECT spr round 5 (radius: 25)
[09:49:16 -158551.766633] SPR radius for FAST iterations: 25 (autodetect)
[09:49:16 -158551.766633] Model parameter optimization (eps = 3.000000)
[09:49:31 -158395.482735] FAST spr round 1 (radius: 25)
[09:51:39 -133738.777388] FAST spr round 2 (radius: 25)
[09:53:22 -132731.286163] FAST spr round 3 (radius: 25)
[09:54:57 -132689.072810] FAST spr round 4 (radius: 25)
[09:56:20 -132685.803365] FAST spr round 5 (radius: 25)
[09:57:40 -132685.803358] Model parameter optimization (eps = 1.000000)
[09:57:49 -132682.039295] SLOW spr round 1 (radius: 5)
[09:59:42 -132646.780257] SLOW spr round 2 (radius: 5)
[10:01:25 -132645.328184] SLOW spr round 3 (radius: 5)
[10:03:08 -132643.532109] SLOW spr round 4 (radius: 5)
[10:04:49 -132643.531872] SLOW spr round 5 (radius: 10)
[10:06:33 -132641.328913] SLOW spr round 6 (radius: 5)
[10:08:40 -132636.576761] SLOW spr round 7 (radius: 5)
[10:10:33 -132636.171193] SLOW spr round 8 (radius: 5)
[10:12:19 -132636.171191] SLOW spr round 9 (radius: 10)
[10:14:02 -132636.171191] SLOW spr round 10 (radius: 15)
[10:16:39 -132636.171191] SLOW spr round 11 (radius: 20)
[10:19:59 -132636.171191] SLOW spr round 12 (radius: 25)
[10:23:50 -132636.171191] Model parameter optimization (eps = 0.100000)

[10:23:54] ML tree search #14, logLikelihood: -132636.148509

[10:23:54 -537648.933917] Initial branch length optimization
[10:23:59 -467704.330078] Model parameter optimization (eps = 10.000000)
[10:24:24 -467559.773465] AUTODETECT spr round 1 (radius: 5)
[10:26:18 -292989.641519] AUTODETECT spr round 2 (radius: 10)
[10:28:25 -214365.668572] AUTODETECT spr round 3 (radius: 15)
[10:30:27 -176933.910290] AUTODETECT spr round 4 (radius: 20)
[10:32:41 -168887.837801] AUTODETECT spr round 5 (radius: 25)
[10:35:15 -162273.937193] SPR radius for FAST iterations: 25 (autodetect)
[10:35:15 -162273.937193] Model parameter optimization (eps = 3.000000)
[10:35:32 -162125.425789] FAST spr round 1 (radius: 25)
[10:37:45 -135303.500072] FAST spr round 2 (radius: 25)
[10:39:29 -132825.581237] FAST spr round 3 (radius: 25)
[10:41:00 -132685.830798] FAST spr round 4 (radius: 25)
[10:42:24 -132673.174830] FAST spr round 5 (radius: 25)
[10:43:45 -132671.435760] FAST spr round 6 (radius: 25)
[10:45:03 -132671.435740] Model parameter optimization (eps = 1.000000)
[10:45:12 -132669.069887] SLOW spr round 1 (radius: 5)
[10:47:03 -132642.263143] SLOW spr round 2 (radius: 5)
[10:48:49 -132632.627088] SLOW spr round 3 (radius: 5)
[10:50:31 -132632.039522] SLOW spr round 4 (radius: 5)
[10:52:12 -132632.039462] SLOW spr round 5 (radius: 10)
[10:53:54 -132632.039450] SLOW spr round 6 (radius: 15)
[10:56:36 -132632.039439] SLOW spr round 7 (radius: 20)
[11:00:04 -132632.039427] SLOW spr round 8 (radius: 25)
[11:04:12 -132632.039416] Model parameter optimization (eps = 0.100000)

[11:04:16] ML tree search #15, logLikelihood: -132632.016393

[11:04:16 -534463.574951] Initial branch length optimization
[11:04:21 -465836.415372] Model parameter optimization (eps = 10.000000)
[11:04:44 -465728.588879] AUTODETECT spr round 1 (radius: 5)
[11:06:36 -289486.018584] AUTODETECT spr round 2 (radius: 10)
[11:08:31 -215643.273121] AUTODETECT spr round 3 (radius: 15)
[11:10:32 -181082.731790] AUTODETECT spr round 4 (radius: 20)
[11:12:44 -163605.560395] AUTODETECT spr round 5 (radius: 25)
[11:15:26 -161061.512183] SPR radius for FAST iterations: 25 (autodetect)
[11:15:26 -161061.512183] Model parameter optimization (eps = 3.000000)
[11:15:44 -160925.788692] FAST spr round 1 (radius: 25)
[11:17:51 -134509.179921] FAST spr round 2 (radius: 25)
[11:19:32 -132784.575982] FAST spr round 3 (radius: 25)
[11:21:07 -132695.409374] FAST spr round 4 (radius: 25)
[11:22:32 -132687.926659] FAST spr round 5 (radius: 25)
[11:23:55 -132684.774915] FAST spr round 6 (radius: 25)
[11:25:15 -132684.774875] Model parameter optimization (eps = 1.000000)
[11:25:23 -132683.933494] SLOW spr round 1 (radius: 5)
[11:27:11 -132634.527589] SLOW spr round 2 (radius: 5)
[11:29:01 -132626.890541] SLOW spr round 3 (radius: 5)
[11:30:43 -132625.697214] SLOW spr round 4 (radius: 5)
[11:32:23 -132625.696993] SLOW spr round 5 (radius: 10)
[11:34:05 -132623.517133] SLOW spr round 6 (radius: 5)
[11:36:09 -132623.517119] SLOW spr round 7 (radius: 10)
[11:38:00 -132623.517119] SLOW spr round 8 (radius: 15)
[11:40:28 -132623.517119] SLOW spr round 9 (radius: 20)
[11:43:44 -132623.517119] SLOW spr round 10 (radius: 25)
[11:47:27 -132623.517119] Model parameter optimization (eps = 0.100000)

[11:47:35] ML tree search #16, logLikelihood: -132623.374032

[11:47:35 -535849.275330] Initial branch length optimization
[11:47:40 -468233.832973] Model parameter optimization (eps = 10.000000)
[11:48:00 -468109.301476] AUTODETECT spr round 1 (radius: 5)
[11:49:52 -291701.794584] AUTODETECT spr round 2 (radius: 10)
[11:51:47 -217971.516894] AUTODETECT spr round 3 (radius: 15)
[11:53:47 -179433.973754] AUTODETECT spr round 4 (radius: 20)
[11:55:57 -164896.941718] AUTODETECT spr round 5 (radius: 25)
[11:58:20 -160617.177124] SPR radius for FAST iterations: 25 (autodetect)
[11:58:20 -160617.177124] Model parameter optimization (eps = 3.000000)
[11:58:35 -160458.654286] FAST spr round 1 (radius: 25)
[12:00:43 -134287.639503] FAST spr round 2 (radius: 25)
[12:02:26 -132842.221974] FAST spr round 3 (radius: 25)
[12:03:56 -132719.924478] FAST spr round 4 (radius: 25)
[12:05:22 -132701.724514] FAST spr round 5 (radius: 25)
[12:06:42 -132701.724437] Model parameter optimization (eps = 1.000000)
[12:06:50 -132698.189149] SLOW spr round 1 (radius: 5)
[12:08:40 -132660.478286] SLOW spr round 2 (radius: 5)
[12:10:25 -132655.133709] SLOW spr round 3 (radius: 5)
[12:12:05 -132655.133693] SLOW spr round 4 (radius: 10)
[12:13:47 -132652.074189] SLOW spr round 5 (radius: 5)
[12:15:52 -132652.074157] SLOW spr round 6 (radius: 10)
[12:17:44 -132652.074157] SLOW spr round 7 (radius: 15)
[12:20:19 -132652.074157] SLOW spr round 8 (radius: 20)
[12:24:01 -132652.074157] SLOW spr round 9 (radius: 25)
[12:28:33 -132652.074157] Model parameter optimization (eps = 0.100000)

[12:28:40] ML tree search #17, logLikelihood: -132652.064102

[12:28:40 -531466.310280] Initial branch length optimization
[12:28:44 -463463.990080] Model parameter optimization (eps = 10.000000)
[12:29:22 -463361.829412] AUTODETECT spr round 1 (radius: 5)
[12:31:15 -301086.286750] AUTODETECT spr round 2 (radius: 10)
[12:33:24 -225706.795230] AUTODETECT spr round 3 (radius: 15)
[12:35:28 -191480.012458] AUTODETECT spr round 4 (radius: 20)
[12:37:51 -162997.100882] AUTODETECT spr round 5 (radius: 25)
[12:40:20 -159209.369876] SPR radius for FAST iterations: 25 (autodetect)
[12:40:20 -159209.369876] Model parameter optimization (eps = 3.000000)
[12:40:37 -159097.927556] FAST spr round 1 (radius: 25)
[12:42:42 -133592.954388] FAST spr round 2 (radius: 25)
[12:44:20 -132792.536927] FAST spr round 3 (radius: 25)
[12:45:50 -132736.663645] FAST spr round 4 (radius: 25)
[12:47:15 -132731.906480] FAST spr round 5 (radius: 25)
[12:48:36 -132731.906479] Model parameter optimization (eps = 1.000000)
[12:48:43 -132731.533700] SLOW spr round 1 (radius: 5)
[12:50:31 -132702.691295] SLOW spr round 2 (radius: 5)
[12:52:16 -132700.533624] SLOW spr round 3 (radius: 5)
[12:54:00 -132700.533139] SLOW spr round 4 (radius: 10)
[12:55:43 -132698.990812] SLOW spr round 5 (radius: 5)
[12:57:49 -132697.217034] SLOW spr round 6 (radius: 5)
[12:59:42 -132697.216983] SLOW spr round 7 (radius: 10)
[13:01:26 -132697.216955] SLOW spr round 8 (radius: 15)
[13:04:01 -132697.216939] SLOW spr round 9 (radius: 20)
[13:07:24 -132697.216930] SLOW spr round 10 (radius: 25)
[13:11:17 -132697.216924] Model parameter optimization (eps = 0.100000)

[13:11:21] ML tree search #18, logLikelihood: -132697.193744

[13:11:21 -538888.129712] Initial branch length optimization
[13:11:26 -470363.944964] Model parameter optimization (eps = 10.000000)
[13:11:48 -470206.248792] AUTODETECT spr round 1 (radius: 5)
[13:13:43 -289713.392777] AUTODETECT spr round 2 (radius: 10)
[13:15:41 -212616.905180] AUTODETECT spr round 3 (radius: 15)
[13:17:47 -177218.024405] AUTODETECT spr round 4 (radius: 20)
[13:20:04 -162251.498996] AUTODETECT spr round 5 (radius: 25)
[13:22:44 -158309.688561] SPR radius for FAST iterations: 25 (autodetect)
[13:22:44 -158309.688561] Model parameter optimization (eps = 3.000000)
[13:23:02 -158174.050103] FAST spr round 1 (radius: 25)
[13:25:11 -133793.013302] FAST spr round 2 (radius: 25)
[13:26:48 -132755.905986] FAST spr round 3 (radius: 25)
[13:28:20 -132673.359201] FAST spr round 4 (radius: 25)
[13:29:44 -132663.333779] FAST spr round 5 (radius: 25)
[13:31:04 -132661.744356] FAST spr round 6 (radius: 25)
[13:32:25 -132661.744046] Model parameter optimization (eps = 1.000000)
[13:32:30 -132661.518483] SLOW spr round 1 (radius: 5)
[13:34:19 -132634.298425] SLOW spr round 2 (radius: 5)
[13:36:05 -132631.798575] SLOW spr round 3 (radius: 5)
[13:37:50 -132629.176389] SLOW spr round 4 (radius: 5)
[13:39:32 -132629.176331] SLOW spr round 5 (radius: 10)
[13:41:14 -132629.176319] SLOW spr round 6 (radius: 15)
[13:43:55 -132629.176308] SLOW spr round 7 (radius: 20)
[13:47:25 -132629.176296] SLOW spr round 8 (radius: 25)
[13:51:30 -132629.176284] Model parameter optimization (eps = 0.100000)

[13:51:34] ML tree search #19, logLikelihood: -132629.169906

[13:51:34 -539187.128097] Initial branch length optimization
[13:51:39 -470855.137896] Model parameter optimization (eps = 10.000000)
[13:52:01 -470725.388311] AUTODETECT spr round 1 (radius: 5)
[13:53:53 -292335.971687] AUTODETECT spr round 2 (radius: 10)
[13:55:50 -215767.576016] AUTODETECT spr round 3 (radius: 15)
[13:57:49 -181244.565009] AUTODETECT spr round 4 (radius: 20)
[14:00:03 -162542.476896] AUTODETECT spr round 5 (radius: 25)
[14:02:45 -157979.704606] SPR radius for FAST iterations: 25 (autodetect)
[14:02:45 -157979.704606] Model parameter optimization (eps = 3.000000)
[14:03:01 -157831.418178] FAST spr round 1 (radius: 25)
[14:05:07 -133615.088015] FAST spr round 2 (radius: 25)
[14:06:47 -132753.175787] FAST spr round 3 (radius: 25)
[14:08:18 -132688.264549] FAST spr round 4 (radius: 25)
[14:09:41 -132688.262973] Model parameter optimization (eps = 1.000000)
[14:09:56 -132686.654568] SLOW spr round 1 (radius: 5)
[14:11:49 -132653.735348] SLOW spr round 2 (radius: 5)
[14:13:37 -132641.361609] SLOW spr round 3 (radius: 5)
[14:15:23 -132636.353981] SLOW spr round 4 (radius: 5)
[14:17:05 -132636.353834] SLOW spr round 5 (radius: 10)
[14:18:48 -132636.353833] SLOW spr round 6 (radius: 15)
[14:21:31 -132636.353832] SLOW spr round 7 (radius: 20)
[14:25:06 -132636.353832] SLOW spr round 8 (radius: 25)
[14:29:30 -132636.353831] Model parameter optimization (eps = 0.100000)

[14:29:37] ML tree search #20, logLikelihood: -132636.225473


Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.331171,0.200931) (0.322053,0.539975) (0.220569,1.487295) (0.126207,3.419036) 
   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: -132609.034118

AIC score: 269228.068237 / AICc score: 8313288.068237 / BIC score: 277999.993000
Free parameters (model + branch lengths): 2005

WARNING: Number of free parameters (K=2005) is larger than alignment size (n=587).
         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/P38606/3_mltree/P38606.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/3_mltree/P38606.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/3_mltree/P38606.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/P38606/3_mltree/P38606.raxml.log

Analysis started: 03-Jul-2021 01:42:22 / finished: 03-Jul-2021 16:12:00

Elapsed time: 52178.039 seconds

Consumed energy: 3390.937 Wh (= 17 km in an electric car, or 85 km with an e-scooter!)