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 02-Jul-2021 16:04:14 as follows:

raxml-ng --msa /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/2_msa/O14843_trimmed_msa.fasta --data-type AA --model LG4X --prefix /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/3_mltree/O14843 --seed 2 --threads 4 --tree rand{20} pars{20}

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

[00:00:00] Reading alignment from file: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/2_msa/O14843_trimmed_msa.fasta
[00:00:00] Loaded alignment with 530 taxa and 189 sites

WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_G3ICW4_G3ICW4_CRIGR_10029 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_G1TG91_G1TG91_RABIT_9986 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_E2RR92_E2RR92_CANLF_9615 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_W5P7T0_W5P7T0_SHEEP_9940 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_D3ZHA3_D3ZHA3_RAT_10116 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_D2I5D6_D2I5D6_AILME_9646 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_A4IFV1_A4IFV1_BOVIN_9913 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_A0A1S3G6C1_A0A1S3G6C1_DIPOR_10020 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_A0A3Q0CDJ3_A0A3Q0CDJ3_MESAU_10036 are exactly identical!
WARNING: Sequences sp_Q8BLG2_LPAR4_MOUSE_10090 and tr_D5MRP4_D5MRP4_MESAU_10036 are exactly identical!
WARNING: Sequences tr_G1SBK7_G1SBK7_NOMLE_61853 and tr_H2PW41_H2PW41_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G1SBK7_G1SBK7_NOMLE_61853 and sp_Q99677_LPAR4_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3QHS3_G3QHS3_GORGO_9595 and tr_H2NG89_H2NG89_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3QHS3_G3QHS3_GORGO_9595 and tr_H2RGA1_H2RGA1_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3QHS3_G3QHS3_GORGO_9595 and tr_A0A2R8ZEH5_A0A2R8ZEH5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3QSU8_G3QSU8_GORGO_9595 and tr_A0A2R8ZGU5_A0A2R8ZGU5_PANPA_9597 are exactly identical!
WARNING: Sequences tr_G3R154_G3R154_GORGO_9595 and tr_H2NYF9_H2NYF9_PONAB_9601 are exactly identical!
WARNING: Sequences tr_G3R154_G3R154_GORGO_9595 and tr_H2QG25_H2QG25_PANTR_9598 are exactly identical!
WARNING: Sequences tr_G3R154_G3R154_GORGO_9595 and sp_O14842_FFAR1_HUMAN_9606 are exactly identical!
WARNING: Sequences tr_G3R154_G3R154_GORGO_9595 and tr_A0A2R8ZS24_A0A2R8ZS24_PANPA_9597 are exactly identical!
WARNING: Sequences tr_H2R4U2_H2R4U2_PANTR_9598 and tr_A0A2R8ZAQ1_A0A2R8ZAQ1_PANPA_9597 are exactly identical!
WARNING: Sequences tr_A0A1D5Q5H6_A0A1D5Q5H6_MACMU_9544 and tr_G8F5P2_G8F5P2_MACFA_9541 are exactly identical!
WARNING: Sequences tr_A0A1D5Q5H6_A0A1D5Q5H6_MACMU_9544 and tr_A0A0D9SA99_A0A0D9SA99_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F6W3L4_F6W3L4_MACMU_9544 and tr_G7PX90_G7PX90_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F6W3L4_F6W3L4_MACMU_9544 and tr_A0A2K5KQ90_A0A2K5KQ90_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F6W3L4_F6W3L4_MACMU_9544 and tr_A0A2K6AZP9_A0A2K6AZP9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_A0A2R8PF80_A0A2R8PF80_CALJA_9483 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_G7Q339_G7Q339_MACFA_9541 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_A0A096MLK8_A0A096MLK8_PAPAN_9555 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_A0A0D9SAL6_A0A0D9SAL6_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_A0A2K5NV18_A0A2K5NV18_CERAT_9531 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_A0A2K6B3U1_A0A2K6B3U1_MACNE_9545 are exactly identical!
WARNING: Sequences tr_F7B7B1_F7B7B1_MACMU_9544 and tr_A0A2K5XRV2_A0A2K5XRV2_MANLE_9568 are exactly identical!
WARNING: Sequences tr_F7HN43_F7HN43_MACMU_9544 and tr_G7PX92_G7PX92_MACFA_9541 are exactly identical!
WARNING: Sequences tr_H0YWI6_H0YWI6_TAEGU_59729 and tr_A0A091EAS0_A0A091EAS0_CORBR_85066 are exactly identical!
WARNING: Sequences tr_A0A1B8Y6W7_A0A1B8Y6W7_XENTR_8364 and tr_F6UTV2_F6UTV2_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A1B8Y6Y7_A0A1B8Y6Y7_XENTR_8364 and tr_F6YBE7_F6YBE7_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A1B8Y6Z0_A0A1B8Y6Z0_XENTR_8364 and tr_F6RZK2_F6RZK2_XENTR_8364 are exactly identical!
WARNING: Sequences tr_A0A2I3N538_A0A2I3N538_PAPAN_9555 and tr_A0A0D9SB23_A0A0D9SB23_CHLSB_60711 are exactly identical!
WARNING: Sequences tr_A0A2I3N538_A0A2I3N538_PAPAN_9555 and tr_A0A2K5XFW5_A0A2K5XFW5_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9SB27_A0A0D9SB27_CHLSB_60711 and tr_A0A2K5KNA6_A0A2K5KNA6_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9SB27_A0A0D9SB27_CHLSB_60711 and tr_A0A2K6B121_A0A2K6B121_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A0D9SB27_A0A0D9SB27_CHLSB_60711 and tr_A0A2K5XT84_A0A2K5XT84_MANLE_9568 are exactly identical!
WARNING: Sequences tr_A0A0D9SCZ3_A0A0D9SCZ3_CHLSB_60711 and tr_A0A2K5KKW9_A0A2K5KKW9_CERAT_9531 are exactly identical!
WARNING: Sequences tr_A0A0D9SCZ3_A0A0D9SCZ3_CHLSB_60711 and tr_A0A2K6ATG9_A0A2K6ATG9_MACNE_9545 are exactly identical!
WARNING: Sequences tr_A0A2I0M186_A0A2I0M186_COLLI_8932 and tr_A0A1V4L1W0_A0A1V4L1W0_PATFA_372326 are exactly identical!
WARNING: Sequences tr_A0A1S3RB04_A0A1S3RB04_SALSA_8030 and tr_A0A060X099_A0A060X099_ONCMY_8022 are exactly identical!
WARNING: Sequences tr_A0A1U7Q260_A0A1U7Q260_MESAU_10036 and sp_Q76JU8_FFAR1_MESAU_10036 are exactly identical!
WARNING: Sequences tr_A0A2U3V3Q4_A0A2U3V3Q4_TURTR_9739 and tr_A0A2Y9P2S6_A0A2Y9P2S6_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U3V3Q4_A0A2U3V3Q4_TURTR_9739 and tr_A0A2Y9FHD8_A0A2Y9FHD8_PHYCD_9755 are exactly identical!
WARNING: Sequences tr_A0A2U3V3Q4_A0A2U3V3Q4_TURTR_9739 and tr_A0A384APZ3_A0A384APZ3_BALAS_310752 are exactly identical!
WARNING: Sequences tr_A0A2U4C4I0_A0A2U4C4I0_TURTR_9739 and tr_A0A2Y9M944_A0A2Y9M944_DELLE_9749 are exactly identical!
WARNING: Sequences tr_A0A2U3VX86_A0A2U3VX86_ODORO_9708 and tr_A0A2U3YJT3_A0A2U3YJT3_LEPWE_9713 are exactly identical!
WARNING: Duplicate sequences found: 53

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/O14843/3_mltree/O14843.raxml.reduced.phy

Alignment comprises 1 partitions and 189 patterns

Partition 0: noname
Model: LG4X+R4
Alignment sites / patterns: 189 / 189
Gaps: 1.21 %
Invariant sites: 0.53 %


NOTE: Binary MSA file created: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/3_mltree/O14843.raxml.rba

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

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

[00:00:00] Generating 20 random starting tree(s) with 530 taxa
[00:00:00] Data distribution: max. partitions/sites/weight per thread: 1 / 189 / 15120
[00:00:00] Data distribution: max. searches per worker: 5

Starting ML tree search with 20 distinct starting trees

[00:00:00 -199922.095754] Initial branch length optimization
[00:00:02 -162902.267809] Model parameter optimization (eps = 10.000000)
[00:00:33 -161725.182696] AUTODETECT spr round 1 (radius: 5)
[00:01:20 -107695.788305] AUTODETECT spr round 2 (radius: 10)
[00:02:15 -76024.958765] AUTODETECT spr round 3 (radius: 15)
[00:03:27 -66304.193447] AUTODETECT spr round 4 (radius: 20)
[00:04:39 -65020.742446] AUTODETECT spr round 5 (radius: 25)
[00:06:00 -62328.512212] SPR radius for FAST iterations: 25 (autodetect)
[00:06:00 -62328.512212] Model parameter optimization (eps = 3.000000)
[00:06:19 -62154.281435] FAST spr round 1 (radius: 25)
[00:07:13 -52010.840743] FAST spr round 2 (radius: 25)
[00:07:58 -51048.396639] FAST spr round 3 (radius: 25)
[00:08:33 -51010.147129] FAST spr round 4 (radius: 25)
[00:09:06 -51001.158479] FAST spr round 5 (radius: 25)
[00:09:38 -51000.173561] FAST spr round 6 (radius: 25)
[00:10:09 -51000.172799] Model parameter optimization (eps = 1.000000)
[00:10:15 -50999.287486] SLOW spr round 1 (radius: 5)
[00:11:06 -50983.219649] SLOW spr round 2 (radius: 5)
[00:11:56 -50981.338377] SLOW spr round 3 (radius: 5)
[00:12:44 -50981.338275] SLOW spr round 4 (radius: 10)
[00:13:30 -50981.338274] SLOW spr round 5 (radius: 15)
[00:14:51 -50981.338274] SLOW spr round 6 (radius: 20)
[00:16:50 -50981.338274] SLOW spr round 7 (radius: 25)
[00:19:11 -50981.338274] Model parameter optimization (eps = 0.100000)

[00:19:16] [worker #0] ML tree search #1, logLikelihood: -50981.301056

[00:19:16 -200988.778866] Initial branch length optimization
[00:19:18 -165747.133275] Model parameter optimization (eps = 10.000000)
[00:19:46 -164533.898879] AUTODETECT spr round 1 (radius: 5)
[00:20:34 -107597.203422] AUTODETECT spr round 2 (radius: 10)
[00:21:12] [worker #3] ML tree search #4, logLikelihood: -50977.115050
[00:21:23] [worker #1] ML tree search #2, logLikelihood: -50975.243313
[00:21:29 -73239.257883] AUTODETECT spr round 3 (radius: 15)
[00:22:33 -65036.415943] AUTODETECT spr round 4 (radius: 20)
[00:23:21] [worker #2] ML tree search #3, logLikelihood: -50998.160719
[00:23:46 -59006.092360] AUTODETECT spr round 5 (radius: 25)
[00:25:18 -58819.901656] SPR radius for FAST iterations: 25 (autodetect)
[00:25:18 -58819.901656] Model parameter optimization (eps = 3.000000)
[00:25:35 -58593.039407] FAST spr round 1 (radius: 25)
[00:26:17 -51396.314425] FAST spr round 2 (radius: 25)
[00:26:53 -51029.781309] FAST spr round 3 (radius: 25)
[00:27:25 -51014.397239] FAST spr round 4 (radius: 25)
[00:27:55 -51011.912952] FAST spr round 5 (radius: 25)
[00:28:23 -51011.912902] Model parameter optimization (eps = 1.000000)
[00:28:31 -51009.821251] SLOW spr round 1 (radius: 5)
[00:29:19 -50999.986635] SLOW spr round 2 (radius: 5)
[00:30:06 -50994.942627] SLOW spr round 3 (radius: 5)
[00:30:50 -50993.329270] SLOW spr round 4 (radius: 5)
[00:31:34 -50993.329142] SLOW spr round 5 (radius: 10)
[00:32:17 -50993.329139] SLOW spr round 6 (radius: 15)
[00:33:34 -50993.329139] SLOW spr round 7 (radius: 20)
[00:35:33 -50993.329138] SLOW spr round 8 (radius: 25)
[00:37:47] [worker #3] ML tree search #8, logLikelihood: -50999.955316
[00:37:54 -50993.329138] Model parameter optimization (eps = 0.100000)

[00:37:57] [worker #0] ML tree search #5, logLikelihood: -50993.237588

[00:37:57 -202129.758657] Initial branch length optimization
[00:37:59 -165608.670181] Model parameter optimization (eps = 10.000000)
[00:38:28 -164385.771006] AUTODETECT spr round 1 (radius: 5)
[00:39:11 -112967.339862] AUTODETECT spr round 2 (radius: 10)
[00:40:01 -80783.328097] AUTODETECT spr round 3 (radius: 15)
[00:40:31] [worker #1] ML tree search #6, logLikelihood: -50978.994229
[00:40:57 -69512.378130] AUTODETECT spr round 4 (radius: 20)
[00:42:10 -62919.407239] AUTODETECT spr round 5 (radius: 25)
[00:42:48] [worker #2] ML tree search #7, logLikelihood: -50986.280529
[00:43:33 -61879.650455] SPR radius for FAST iterations: 25 (autodetect)
[00:43:33 -61879.650455] Model parameter optimization (eps = 3.000000)
[00:43:51 -61671.686225] FAST spr round 1 (radius: 25)
[00:44:43 -51529.186322] FAST spr round 2 (radius: 25)
[00:45:25 -51059.467767] FAST spr round 3 (radius: 25)
[00:46:00 -51000.272852] FAST spr round 4 (radius: 25)
[00:46:30 -50998.784775] FAST spr round 5 (radius: 25)
[00:46:58 -50997.988775] FAST spr round 6 (radius: 25)
[00:47:26 -50997.988654] Model parameter optimization (eps = 1.000000)
[00:47:36 -50993.641488] SLOW spr round 1 (radius: 5)
[00:48:24 -50984.825644] SLOW spr round 2 (radius: 5)
[00:49:12 -50973.235141] SLOW spr round 3 (radius: 5)
[00:50:07 -50972.789986] SLOW spr round 4 (radius: 5)
[00:50:58 -50972.789268] SLOW spr round 5 (radius: 10)
[00:51:50 -50972.789258] SLOW spr round 6 (radius: 15)
[00:53:19 -50972.789257] SLOW spr round 7 (radius: 20)
[00:55:32 -50972.789257] SLOW spr round 8 (radius: 25)
[00:57:24] [worker #3] ML tree search #12, logLikelihood: -50967.250920
[00:58:06 -50972.789257] Model parameter optimization (eps = 0.100000)

[00:58:14] [worker #0] ML tree search #9, logLikelihood: -50972.058884

[00:58:14 -201250.797572] Initial branch length optimization
[00:58:18 -165490.030832] Model parameter optimization (eps = 10.000000)
[00:58:47 -164288.809123] AUTODETECT spr round 1 (radius: 5)
[00:59:39 -107400.434158] AUTODETECT spr round 2 (radius: 10)
[01:00:38 -76357.481745] AUTODETECT spr round 3 (radius: 15)
[01:01:49 -63586.142433] AUTODETECT spr round 4 (radius: 20)
[01:02:04] [worker #1] ML tree search #10, logLikelihood: -50981.490865
[01:03:11 -58692.043265] AUTODETECT spr round 5 (radius: 25)
[01:05:02 -58293.381822] SPR radius for FAST iterations: 25 (autodetect)
[01:05:02 -58293.381822] Model parameter optimization (eps = 3.000000)
[01:05:20 -58155.709863] FAST spr round 1 (radius: 25)
[01:05:41] [worker #2] ML tree search #11, logLikelihood: -50976.664270
[01:06:04 -51283.476883] FAST spr round 2 (radius: 25)
[01:06:50 -51014.242836] FAST spr round 3 (radius: 25)
[01:07:27 -51004.656427] FAST spr round 4 (radius: 25)
[01:08:02 -51004.654862] Model parameter optimization (eps = 1.000000)
[01:08:15 -51002.077713] SLOW spr round 1 (radius: 5)
[01:09:16 -50987.659169] SLOW spr round 2 (radius: 5)
[01:10:13 -50982.284637] SLOW spr round 3 (radius: 5)
[01:11:06 -50981.560287] SLOW spr round 4 (radius: 5)
[01:11:58 -50981.108321] SLOW spr round 5 (radius: 5)
[01:12:50 -50981.107674] SLOW spr round 6 (radius: 10)
[01:13:40 -50981.107583] SLOW spr round 7 (radius: 15)
[01:14:57 -50981.107564] SLOW spr round 8 (radius: 20)
[01:16:58 -50981.107560] SLOW spr round 9 (radius: 25)
[01:18:03] [worker #3] ML tree search #16, logLikelihood: -50976.580564
[01:19:17 -50981.107558] Model parameter optimization (eps = 0.100000)

[01:19:28] [worker #0] ML tree search #13, logLikelihood: -50980.497164

[01:19:28 -200969.230097] Initial branch length optimization
[01:19:32 -164383.412756] Model parameter optimization (eps = 10.000000)
[01:20:08 -163277.560817] AUTODETECT spr round 1 (radius: 5)
[01:20:54 -107233.200461] AUTODETECT spr round 2 (radius: 10)
[01:21:47 -75453.243736] AUTODETECT spr round 3 (radius: 15)
[01:22:52 -61142.590246] AUTODETECT spr round 4 (radius: 20)
[01:24:04 -58267.266244] AUTODETECT spr round 5 (radius: 25)
[01:24:22] [worker #1] ML tree search #14, logLikelihood: -50999.945773
[01:25:20 -57606.585093] SPR radius for FAST iterations: 25 (autodetect)
[01:25:20 -57606.585093] Model parameter optimization (eps = 3.000000)
[01:25:36 -57436.622681] FAST spr round 1 (radius: 25)
[01:25:48] [worker #2] ML tree search #15, logLikelihood: -50978.093754
[01:26:24 -51468.711727] FAST spr round 2 (radius: 25)
[01:27:03 -51025.191440] FAST spr round 3 (radius: 25)
[01:27:37 -51007.901325] FAST spr round 4 (radius: 25)
[01:28:07 -51007.901304] Model parameter optimization (eps = 1.000000)
[01:28:11 -51007.385692] SLOW spr round 1 (radius: 5)
[01:29:02 -50995.918752] SLOW spr round 2 (radius: 5)
[01:29:49 -50992.920949] SLOW spr round 3 (radius: 5)
[01:30:35 -50992.918770] SLOW spr round 4 (radius: 10)
[01:31:21 -50991.921922] SLOW spr round 5 (radius: 5)
[01:32:26 -50976.831857] SLOW spr round 6 (radius: 5)
[01:33:18 -50976.406715] SLOW spr round 7 (radius: 5)
[01:34:06 -50976.406668] SLOW spr round 8 (radius: 10)
[01:34:51 -50976.406667] SLOW spr round 9 (radius: 15)
[01:36:13 -50976.406667] SLOW spr round 10 (radius: 20)
[01:38:10 -50976.406667] SLOW spr round 11 (radius: 25)
[01:38:19] [worker #3] ML tree search #20, logLikelihood: -50972.416311
[01:40:30 -50976.406667] Model parameter optimization (eps = 0.100000)

[01:40:34] [worker #0] ML tree search #17, logLikelihood: -50976.348526

[01:45:12] [worker #2] ML tree search #19, logLikelihood: -50983.557257
[01:50:04] [worker #1] ML tree search #18, logLikelihood: -50971.088622

Optimized model parameters:

   Partition 0: noname
   Rate heterogeneity: FREE (4 cats, mean),  weights&rates: (0.242160,0.571010) (0.304540,1.282911) (0.379274,0.769410) (0.074026,2.420903) 
   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: -50967.250920

AIC score: 104060.501840 / AICc score: 2366124.501840 / BIC score: 107506.478917
Free parameters (model + branch lengths): 1063

WARNING: Number of free parameters (K=1063) is larger than alignment size (n=189).
         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/O14843/3_mltree/O14843.raxml.bestTree
All ML trees saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/3_mltree/O14843.raxml.mlTrees
Optimized model saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/3_mltree/O14843.raxml.bestModel

Execution log saved to: /truba/home/emrah/WORKFOLDER/PROD/300621_run/phylogeny-snakemake/results/O14843/3_mltree/O14843.raxml.log

Analysis started: 02-Jul-2021 16:04:14 / finished: 02-Jul-2021 17:54:19

Elapsed time: 6604.880 seconds

Consumed energy: 392.213 Wh (= 2 km in an electric car, or 10 km with an e-scooter!)