--- EXPERIMENT NOTES




 --- EXPERIMENT PROPERTIES

#Wed Mar 21 03:45:36 WET 2018
codeml.models=0 1 2 3 7 8
mrbayes.mpich=
mrbayes.ngen=1000000
tcoffee.alignMethod=MUSCLE
tcoffee.params=
tcoffee.maxSeqs=0
codeml.bin=codeml
mrbayes.tburnin=2500
codeml.dir=
input.sequences=
mrbayes.pburnin=2500
mrbayes.bin=mb_adops
tcoffee.bin=t_coffee_ADOPS
mrbayes.dir=/usr/bin/
tcoffee.dir=
tcoffee.minScore=3
input.fasta=/opt/ADOPS1/HIV1_AMINO/POL_1_1/input.fasta
input.names=
mrbayes.params=
codeml.params=



 --- PSRF SUMMARY

      Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS1/HIV1_AMINO/POL_1_1/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/HIV1_AMINO/POL_1_1/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run2.p":
(Use the harmonic mean for Bayes factor comparisons of models)

(Values are saved to the file /opt/ADOPS1/HIV1_AMINO/POL_1_1/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)

Run   Arithmetic mean   Harmonic mean
--------------------------------------
1     -31431.52        -31471.97
2     -31431.59        -31469.36
--------------------------------------
TOTAL   -31431.56        -31471.35
--------------------------------------


Model parameter summaries over the runs sampled in files
"/opt/ADOPS1/HIV1_AMINO/POL_1_1/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS1/HIV1_AMINO/POL_1_1/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run2.p":
Summaries are based on a total of 3002 samples from 2 runs.
Each run produced 2001 samples of which 1501 samples were included.
Parameter summaries saved to file "/opt/ADOPS1/HIV1_AMINO/POL_1_1/batch/allfiles/mrbayes/input.fasta.fasta.mrb.pstat".

95% HPD Interval
--------------------
Parameter         Mean      Variance     Lower       Upper       Median    min ESS*  avg ESS    PSRF+
------------------------------------------------------------------------------------------------------
TL{all}         4.510070    0.022629    4.230193    4.811342    4.505357    679.88    743.28    1.001
r(A<->C){all}   0.078455    0.000016    0.070967    0.086601    0.078325    554.47    683.13    1.000
r(A<->G){all}   0.348014    0.000167    0.322409    0.374316    0.348070    234.84    258.73    1.000
r(A<->T){all}   0.036721    0.000007    0.031414    0.041516    0.036650    483.78    602.32    1.000
r(C<->G){all}   0.045087    0.000019    0.036157    0.053430    0.044949    612.05    639.22    1.000
r(C<->T){all}   0.456270    0.000200    0.430021    0.485619    0.455907    234.55    237.26    1.000
r(G<->T){all}   0.035452    0.000011    0.029617    0.042567    0.035410    703.04    726.53    1.000
pi(A){all}      0.416338    0.000046    0.402803    0.428972    0.416341    506.33    557.69    1.000
pi(C){all}      0.167625    0.000024    0.158655    0.177456    0.167657    510.95    563.63    1.000
pi(G){all}      0.209639    0.000031    0.198443    0.220190    0.209539    465.31    512.08    1.000
pi(T){all}      0.206398    0.000035    0.195241    0.218300    0.206358    385.75    429.03    1.000
alpha{1,2}      0.272265    0.000162    0.247468    0.296094    0.271569    943.05   1020.40    1.000
alpha{3}        1.999993    0.030385    1.675038    2.344537    1.990235    953.92   1179.25    1.000
pinvar{all}     0.228157    0.000275    0.196360    0.259934    0.228256    974.98   1038.97    1.000
------------------------------------------------------------------------------------------------------
* Convergence diagnostic (ESS = Estimated Sample Size); min and avg values
correspond to minimal and average ESS among runs.
ESS value below 100 may indicate that the parameter is undersampled.
+ Convergence diagnostic (PSRF = Potential Scale Reduction Factor; Gelman
and Rubin, 1992) should approach 1.0 as runs converge.


Setting sumt conformat to Simple



 --- CODEML SUMMARY

Model 1: NearlyNeutral	-30815.998943
Model 2: PositiveSelection	-30697.904632
Model 0: one-ratio	-32431.246887
Model 3: discrete	-30500.31083
Model 7: beta	-30571.29679
Model 8: beta&w>1	-30437.996252


Model 0 vs 1	3230.495888000005

Model 2 vs 1	236.1886219999942

Additional information for M1 vs M2:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: 01_AE.CN.05.FJ053.DQ859179_)

            Pr(w>1)     post mean +- SE for w

    16 S      0.934         3.301
    20 N      0.965*        3.377
    31 G      0.936         3.305
    32 L      1.000**       3.463
    37 A      0.981*        3.416
    40 F      0.593         2.460
    41 S      0.996**       3.454
    52 L      0.660         2.625
   105 L      1.000**       3.463
   264 S      0.999**       3.460
   303 S      0.994**       3.448
   352 S      0.993**       3.446
   386 V      1.000**       3.463
   427 A      1.000**       3.462
   475 Q      1.000**       3.463
   517 A      0.976*        3.405
   609 S      0.999**       3.462
   624 H      1.000**       3.463
   695 S      1.000**       3.463
   802 L      0.905         3.230
   820 S      0.988*        3.434
   825 A      0.972*        3.395

Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: 01_AE.CN.05.FJ053.DQ859179_)

            Pr(w>1)     post mean +- SE for w

    16 S      0.963*        3.408 +- 0.471
    20 N      0.981*        3.452 +- 0.342
    31 G      0.964*        3.411 +- 0.463
    32 L      1.000**       3.500 +- 0.015
    37 A      0.990*        3.474 +- 0.254
    40 F      0.722         2.806 +- 1.119
    41 S      0.998**       3.495 +- 0.114
    52 L      0.782         2.956 +- 1.032
   105 L      1.000**       3.500 +- 0.010
   264 S      0.999**       3.498 +- 0.067
   303 S      0.996**       3.491 +- 0.148
   352 S      0.996**       3.491 +- 0.154
   386 V      1.000**       3.500 +- 0.010
   427 A      1.000**       3.499 +- 0.038
   475 Q      1.000**       3.500 +- 0.013
   517 A      0.987*        3.468 +- 0.282
   609 S      1.000**       3.499 +- 0.044
   624 H      1.000**       3.500 +- 0.012
   695 S      1.000**       3.500 +- 0.029
   802 L      0.946         3.366 +- 0.564
   820 S      0.994**       3.484 +- 0.200
   825 A      0.985*        3.461 +- 0.308


Model 8 vs 7	266.601075999999

Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: 01_AE.CN.05.FJ053.DQ859179_)

            Pr(w>1)     post mean +- SE for w

    11 K      0.729         1.984
    16 S      0.996**       2.452
    20 N      0.998**       2.456
    31 G      0.993**       2.449
    32 L      1.000**       2.460
    37 A      0.999**       2.459
    40 F      0.967*        2.401
    41 S      1.000**       2.460
    42 F      0.774         2.061
    52 L      0.913         2.306
    79 D      0.915         2.311
   105 L      1.000**       2.460
   264 S      1.000**       2.460
   303 S      1.000**       2.460
   314 L      0.677         1.893
   352 S      1.000**       2.460
   386 V      1.000**       2.460
   418 K      0.924         2.327
   427 A      1.000**       2.460
   475 Q      1.000**       2.460
   498 K      0.794         2.099
   517 A      0.998**       2.457
   609 S      1.000**       2.460
   624 H      1.000**       2.460
   632 S      0.547         1.663
   665 E      0.664         1.867
   695 S      1.000**       2.460
   775 L      0.585         1.720
   802 L      0.993**       2.448
   820 S      0.999**       2.459
   825 A      0.999**       2.458

Bayes Empirical Bayes (BEB) analysis (Yang, Wong & Nielsen 2005. Mol. Biol. Evol. 22:1107-1118)
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: 01_AE.CN.05.FJ053.DQ859179_)

            Pr(w>1)     post mean +- SE for w

    11 K      0.584         1.830 +- 0.796
    16 S      0.987*        2.480 +- 0.180
    20 N      0.993**       2.489 +- 0.135
    31 G      0.984*        2.475 +- 0.199
    32 L      1.000**       2.500 +- 0.015
    37 A      0.996**       2.494 +- 0.103
    40 F      0.926         2.382 +- 0.419
    41 S      0.999**       2.499 +- 0.050
    42 F      0.729         2.058 +- 0.728
    52 L      0.891         2.322 +- 0.510
    79 D      0.707         2.036 +- 0.723
   105 L      1.000**       2.500 +- 0.011
   264 S      0.999**       2.499 +- 0.037
   303 S      0.999**       2.498 +- 0.059
   352 S      0.998**       2.498 +- 0.064
   386 V      1.000**       2.500 +- 0.011
   418 K      0.855         2.267 +- 0.566
   427 A      1.000**       2.500 +- 0.025
   475 Q      1.000**       2.500 +- 0.013
   498 K      0.518         1.733 +- 0.797
   517 A      0.995**       2.492 +- 0.115
   609 S      1.000**       2.500 +- 0.030
   624 H      1.000**       2.500 +- 0.013
   665 E      0.574         1.809 +- 0.806
   695 S      1.000**       2.500 +- 0.019
   775 L      0.607         1.842 +- 0.823
   802 L      0.980*        2.468 +- 0.223
   820 S      0.997**       2.495 +- 0.089
   825 A      0.995**       2.492 +- 0.113