--- EXPERIMENT NOTES




 --- EXPERIMENT PROPERTIES

#Sat Nov 12 05:23:26 WET 2016
codeml.models=0 1 2 3 7 8
mrbayes.mpich=
mrbayes.ngen=1000000
tcoffee.alignMethod=CLUSTALW2
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/ADOPS/2/Ac76E-PA/input.fasta
input.names=
mrbayes.params=
codeml.params=



 --- PSRF SUMMARY

      Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS/2/Ac76E-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS/2/Ac76E-PA/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/ADOPS/2/Ac76E-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)

Run   Arithmetic mean   Harmonic mean
--------------------------------------
1     -12095.72        -12109.17
2     -12096.07        -12109.57
--------------------------------------
TOTAL   -12095.88        -12109.39
--------------------------------------


Model parameter summaries over the runs sampled in files
"/opt/ADOPS/2/Ac76E-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS/2/Ac76E-PA/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/ADOPS/2/Ac76E-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.pstat".

95% HPD Interval
--------------------
Parameter         Mean      Variance     Lower       Upper       Median    min ESS*  avg ESS    PSRF+
------------------------------------------------------------------------------------------------------
TL{all}         0.667738    0.001077    0.607688    0.734053    0.667299   1369.07   1404.27    1.000
r(A<->C){all}   0.132980    0.000145    0.110058    0.156550    0.132675   1000.98   1063.28    1.000
r(A<->G){all}   0.278409    0.000338    0.243570    0.315766    0.277989    553.28    765.12    1.000
r(A<->T){all}   0.083024    0.000146    0.060075    0.106815    0.082461    997.80   1007.61    1.000
r(C<->G){all}   0.079235    0.000066    0.063511    0.095126    0.078988   1169.02   1262.46    1.000
r(C<->T){all}   0.357377    0.000372    0.319549    0.393800    0.356899    890.64    919.92    1.000
r(G<->T){all}   0.068975    0.000086    0.052048    0.088704    0.068709    885.23    984.01    1.000
pi(A){all}      0.224299    0.000037    0.211279    0.235209    0.224301   1086.43   1092.80    1.002
pi(C){all}      0.295933    0.000048    0.282434    0.309019    0.295890    915.59    990.93    1.000
pi(G){all}      0.271215    0.000045    0.257340    0.283481    0.271144    975.33    985.67    1.000
pi(T){all}      0.208553    0.000034    0.197596    0.220294    0.208700   1037.76   1053.67    1.000
alpha{1,2}      0.158194    0.000183    0.130695    0.184697    0.157601   1374.41   1437.70    1.000
alpha{3}        4.372858    1.064250    2.643965    6.559605    4.249739   1315.13   1326.77    1.000
pinvar{all}     0.432648    0.000645    0.384763    0.484567    0.433419   1297.82   1378.67    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	-11237.599668
Model 2: PositiveSelection	-11237.599676
Model 0: one-ratio	-11438.14586
Model 3: discrete	-11235.836021
Model 7: beta	-11242.134885
Model 8: beta&w>1	-11238.121944


Model 0 vs 1	401.0923839999996

Model 2 vs 1	1.599999814061448E-5

Model 8 vs 7	8.025881999998091

Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: D_melanogaster_Ac76E-PA)

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

    29 T      0.860         1.898
   517 I      0.870         1.913
   520 T      0.959*        2.048
   655 Q      0.643         1.566
   923 K      0.732         1.702
   931 E      0.980*        2.080

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: D_melanogaster_Ac76E-PA)

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

     8 T      0.839         1.348 +- 0.358
    16 N      0.820         1.330 +- 0.375
    17 A      0.691         1.169 +- 0.514
    19 A      0.574         1.027 +- 0.573
    25 D      0.797         1.313 +- 0.380
    29 T      0.963*        1.469 +- 0.159
   202 T      0.584         1.040 +- 0.569
   512 T      0.634         1.136 +- 0.497
   515 T      0.753         1.264 +- 0.427
   517 I      0.967*        1.474 +- 0.146
   518 K      0.795         1.311 +- 0.382
   520 T      0.984*        1.488 +- 0.096
   541 P      0.581         1.037 +- 0.569
   543 A      0.590         1.044 +- 0.570
   544 I      0.522         1.010 +- 0.534
   595 H      0.520         1.007 +- 0.535
   602 N      0.863         1.377 +- 0.318
   603 D      0.564         1.055 +- 0.526
   605 E      0.899         1.413 +- 0.267
   606 P      0.755         1.272 +- 0.412
   655 Q      0.911         1.420 +- 0.264
   672 G      0.664         1.136 +- 0.532
   674 A      0.578         1.069 +- 0.524
   923 K      0.946         1.455 +- 0.191
   927 S      0.763         1.270 +- 0.426
   928 T      0.710         1.221 +- 0.451
   931 E      0.990*        1.493 +- 0.075
   932 S      0.576         1.070 +- 0.522
   934 F      0.519         0.970 +- 0.576
   935 S      0.578         1.032 +- 0.572
   938 V      0.825         1.334 +- 0.372
   940 S      0.809         1.325 +- 0.371
   947 L      0.555         1.020 +- 0.561
   952 Y      0.859         1.368 +- 0.336
  1005 M      0.753         1.270 +- 0.413
  1008 D      0.890         1.403 +- 0.282
  1009 A      0.757         1.264 +- 0.430
  1012 T      0.792         1.300 +- 0.402
  1013 H      0.547         0.996 +- 0.579
  1266 T      0.662         1.162 +- 0.490