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                                  ---  PhyML 3.3.20260528  ---                                             
                            https://github.com/stephaneguindon/phyml/                      
                             Copyright CNRS - Universite Montpellier                                 
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. Sequence filename: 			pm_nt.phy
. Data set: 				#1
. Initial tree: 			BioNJ
. Model of nucleotides substitution: 	GTR
. Integrated length (IL) model: 	no
. Number of taxa: 			20
. Log-likelihood: 			-1753.19424
. Unconstrained log-likelihood: 	-880.76144
. Composite log-likelihood: 		-5643.59563
. Parsimony: 				317
. Tree size: 				1.78366
. Discrete gamma model: 		Yes
  - Number of classes: 			4
  - Gamma shape parameter: 		0.765
  - Relative rate in class 1: 		0.08802 [freq=0.250000] 		
  - Relative rate in class 2: 		0.39251 [freq=0.250000] 		
  - Relative rate in class 3: 		0.94667 [freq=0.250000] 		
  - Relative rate in class 4: 		2.57280 [freq=0.250000] 		
. Nucleotides frequencies:
  - f(A)=  0.42597
  - f(C)=  0.15878
  - f(G)=  0.18676
  - f(T)=  0.22849
. GTR relative rate parameters :
  A <-> C    1.20048
  A <-> G    3.09509
  A <-> T    0.61584
  C <-> G    0.93168
  C <-> T    4.72367
  G <-> T    1.00000
. Instantaneous rate matrix : 
  [A---------C---------G---------T------]
  -0.72282   0.15151   0.45946   0.11185  
   0.40647  -1.40270   0.13831   0.85792  
   1.04798   0.11759  -1.34719   0.18162  
   0.20852   0.59617   0.14845  -0.95313  


. Run ID:				none
. Random seed:				1790992840
. Subtree patterns aliasing:		no
. Version:				3.3.20260528
. Time used:				0h0m0s (0 seconds)

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 Suggested citations:
 S. Guindon, JF. Dufayard, V. Lefort, M. Anisimova, W. Hordijk, O. Gascuel
 "New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0."
 Systematic Biology. 2010. 59(3):307-321.

 S. Guindon & O. Gascuel
 "A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood"
 Systematic Biology. 2003. 52(5):696-704.
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          https://fondation-cnrs.org/faire-un-don/

              ~ Thank you ! ~

