Modelo evolutivo

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----------------------------- jModeltest 0.1.1 -----------------------------
(c) 2008 David Posada, Department of Biochemistry, Genetics and Immunology
University of Vigo, 36310 Vigo, Spain. e-mail: dposada@uvigo.es
--------------------------------------------------------------------------
Thu Sep 06 12:54:12 BRT 2012 (Mac OS X 10.5.8, arch: i386)

******************************* NOTICE************************************
This program may contain errors. Please inspect the results carefully.
***************************************************************************

Reading data file "Thap_CITB_FINAL.fas"... OK.
number of sequences: 259
number of sites: 801

---------------------------------------------------------------
**
* COMPUTATION OF LIKELIHOOD SCORES WITH PHYML *
* *
---------------------------------------------------------------

Settings:
Phyml version = 3.0
Candidate models = 24
number of substitution schemes = 3
including models with equal/unequal base frequencies (+F)
including modelswith/without a proportion of invariable sites (+I)
including models with/without rate variation among sites (+G) (nCat = 4)
Optimized free parameters (K) = substitution parameters + 515 branch lengths + topology
Base tree for likelihood calculations = ML tree

Maximum likelihod estimation for the JC model.
ML optimized tree topology
Model = JC
partition = 000000
-lnL = 24643.5925K = 516
Computation time = 00h:02:25:03 (00h:02:25:03)

Maximum likelihod estimation for the JC+I model.
ML optimized tree topology
Model = JC+I
partition = 000000
-lnL = 22355.8376
K = 517
p-inv = 0.4710
Computation time = 00h:03:54:08 (00h:06:20:01)

Maximum likelihod estimation for the JC+G model.
ML optimized tree topology
Model = JC+G
partition= 000000
-lnL = 21573.7988
K = 517
gamma shape = 0.2680
Computation time = 00h:07:35:05 (00h:13:55:06)

Maximum likelihod estimation for the JC+I+G model.
ML optimized tree topology
Model = JC+I+G
partition = 000000
-lnL = 21551.5600
K = 518
p-inv = 0.4340
gamma shape = 0.9480
Computation time = 00h:06:54:07 (00h:20:50:03)

Maximum likelihodestimation for the F81 model.
ML optimized tree topology
Model = F81
partition = 000000
-lnL = 23926.5281
K = 519
freqA = 0.1503
freqC = 0.2608
freqG = 0.1167
freqT = 0.4722
Computation time = 00h:02:59:05 (00h:23:49:08)

Maximum likelihod estimation for the F81+I model.
ML optimized tree topology
Model = F81+I
partition = 000000
-lnL =21661.6927
K = 520
freqA = 0.1608
freqC = 0.3078
freqG = 0.1089
freqT = 0.4225
p-inv = 0.4710
Computation time = 00h:03:52:04 (00h:27:42:02)

Maximum likelihod estimation for the F81+G model.
ML optimized tree topology
Model = F81+G
partition = 000000
-lnL = 20675.4826
K = 520
freqA = 0.1260
freqC = 0.3936
freqG = 0.0952
freqT =0.3851
gamma shape = 0.2780
Computation time = 00h:03:27:03 (00h:31:09:05)

Maximum likelihod estimation for the F81+I+G model.
ML optimized tree topology
Model = F81+I+G
partition = 000000
-lnL = 20625.8643
K = 521
freqA = 0.1225
freqC = 0.3878
freqG = 0.0948
freqT = 0.3949
p-inv = 0.4080
gamma shape = 0.7390
Computation time =00h:12:48:03 (00h:43:57:08)

Maximum likelihod estimation for the K80 model.
ML optimized tree topology
Model = K80
partition = 010010
-lnL = 22731.9374
K = 517
kappa = 8.1801 (ti/tv = 4.0901)
Computation time = 00h:02:18:04 (00h:46:16:02)

Maximum likelihod estimation for the K80+I model.
ML optimized tree topology
Model = K80+I
partition = 010010
-lnL =...
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