
 oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo
                                  ---  PhyML 3.3.20260528  ---                                             
                            https://github.com/stephaneguindon/phyml/                      
                             Copyright CNRS - Universite Montpellier                                 
 oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo

. Sequence filename: 			pm_aa_m.phy
. Data set: 				#1
. Initial tree: 			BioNJ
. Model of amino acids substitution: 	LG
. Integrated length (IL) model: 	no
. Number of taxa: 			30
. Log-likelihood: 			-6120.59849
. Unconstrained log-likelihood: 	-3167.23845
. Composite log-likelihood: 		-51147.34020
. Parsimony: 				767
. Tree size: 				1.98419
. Discrete gamma model: 		Yes
  - Number of classes: 			4
  - Gamma shape parameter: 		0.285
  - Relative rate in class 1: 		0.00415 [freq=0.250000] 		
  - Relative rate in class 2: 		0.09285 [freq=0.250000] 		
  - Relative rate in class 3: 		0.56964 [freq=0.250000] 		
  - Relative rate in class 4: 		3.33335 [freq=0.250000] 		

. Run ID:				none
. Random seed:				1790992841
. Subtree patterns aliasing:		no
. Version:				3.3.20260528
. Time used:				0h1m12s (72 seconds)

 oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo
 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.
 oooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooooo


 Please consider making a donation to support PhyML development by clicking on the following link:

          https://fondation-cnrs.org/faire-un-don/

              ~ Thank you ! ~

