File: aa_model0-4_3.out

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python-biopython 1.68%2Bdfsg-3
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seed used = 1024005389
AAML (in paml version 4.3, August 2009)  ../Alignments/aa_alignment.phylip
Model: Poisson for branchesns =   5  ls =  74


Frequencies..
                                    A      R      N      D      C      Q      E      G      H      I      L      K      M      F      P      S      T      W      Y      V
Homo_sapie                     0.0000 0.0405 0.0270 0.0811 0.0405 0.0135 0.1622 0.0541 0.0000 0.0541 0.0946 0.1351 0.0405 0.0135 0.0541 0.0405 0.0270 0.0000 0.0135 0.1081
Pan_troglo                     0.0000 0.0405 0.0270 0.0811 0.0405 0.0135 0.1622 0.0541 0.0000 0.0541 0.0946 0.1351 0.0405 0.0135 0.0541 0.0405 0.0270 0.0000 0.0135 0.1081
Gorilla_go                     0.0000 0.0405 0.0270 0.0811 0.0405 0.0135 0.1622 0.0541 0.0000 0.0541 0.0946 0.1351 0.0405 0.0135 0.0541 0.0405 0.0270 0.0000 0.0135 0.1081
Pongo_pygm                     0.0000 0.0405 0.0270 0.0811 0.0405 0.0135 0.1622 0.0541 0.0000 0.0541 0.0946 0.1351 0.0405 0.0135 0.0541 0.0405 0.0270 0.0000 0.0135 0.1081
Macaca_mul                     0.0000 0.0405 0.0270 0.0811 0.0405 0.0135 0.1622 0.0541 0.0000 0.0541 0.0946 0.1351 0.0405 0.0135 0.0541 0.0405 0.0270 0.0000 0.0135 0.1081

Homogeneity statistic: X2 = 0.00000 G = 0.00000 

Average                        0.000000 0.040541 0.027027 0.081081 0.040541 0.013514 0.162162 0.054054 0.000000 0.054054 0.094595 0.135135 0.040541 0.013514 0.054054 0.040541 0.027027 0.000000 0.013514 0.108108

# constant sites:     74 (100.00%)
ln Lmax (unconstrained) = -192.057157

AA distances (raw proportions of different sites)

Homo_sapie     
Pan_troglo       0.0000
Gorilla_go       0.0000  0.0000
Pongo_pygm       0.0000  0.0000  0.0000
Macaca_mul       0.0000  0.0000  0.0000  0.0000

         5          1  P

Homo_sapie                                 A
Pan_troglo                                 A
Gorilla_go                                 A
Pongo_pygm                                 A
Macaca_mul                                 A



   74



TREE #  1:  (((1, 2), 3), 4, 5);   MP score: 0
lnL(ntime:  7  np:  7):   -221.686260      +0.000000
   6..7     7..8     8..1     8..2     7..3     6..4     6..5  
 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004 0.000004

tree length =   0.00003

(((1: 0.000004, 2: 0.000004): 0.000004, 3: 0.000004): 0.000004, 4: 0.000004, 5: 0.000004);

(((Homo_sapie: 0.000004, Pan_troglo: 0.000004): 0.000004, Gorilla_go: 0.000004): 0.000004, Pongo_pygm: 0.000004, Macaca_mul: 0.000004);

Time used:  0:00