--- EXPERIMENT NOTES




 --- EXPERIMENT PROPERTIES

#Sat Nov 12 05:59:25 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-PB/input.fasta
input.names=
mrbayes.params=
codeml.params=



 --- PSRF SUMMARY

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

Run   Arithmetic mean   Harmonic mean
--------------------------------------
1     -12131.17        -12145.97
2     -12130.94        -12145.77
--------------------------------------
TOTAL   -12131.05        -12145.88
--------------------------------------


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

95% HPD Interval
--------------------
Parameter         Mean      Variance     Lower       Upper       Median    min ESS*  avg ESS    PSRF+
------------------------------------------------------------------------------------------------------
TL{all}         0.666378    0.001018    0.603050    0.728601    0.665846   1275.66   1358.12    1.000
r(A<->C){all}   0.132647    0.000146    0.109821    0.156891    0.132582   1005.01   1050.32    1.001
r(A<->G){all}   0.278340    0.000339    0.241040    0.313566    0.278260    946.94    972.63    1.000
r(A<->T){all}   0.085827    0.000159    0.060974    0.109506    0.085463   1037.27   1059.51    1.001
r(C<->G){all}   0.079050    0.000063    0.064226    0.094478    0.078811   1127.22   1142.31    1.000
r(C<->T){all}   0.355959    0.000409    0.313515    0.392686    0.355905    874.12    988.88    1.000
r(G<->T){all}   0.068177    0.000081    0.051651    0.086160    0.067893   1076.63   1195.60    1.000
pi(A){all}      0.223849    0.000039    0.212664    0.237145    0.223819   1052.84   1077.46    1.000
pi(C){all}      0.295655    0.000047    0.282394    0.309138    0.295773   1126.27   1185.43    1.000
pi(G){all}      0.271482    0.000042    0.258031    0.283527    0.271389   1135.13   1180.08    1.000
pi(T){all}      0.209015    0.000035    0.197936    0.221179    0.209031   1118.49   1148.05    1.000
alpha{1,2}      0.157826    0.000187    0.131535    0.183751    0.157381   1172.32   1330.47    1.000
alpha{3}        4.373407    1.022544    2.531397    6.356688    4.259719   1333.12   1351.53    1.000
pinvar{all}     0.432578    0.000676    0.378363    0.480482    0.433712   1196.25   1285.13    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	-11272.307428
Model 2: PositiveSelection	-11272.307428
Model 0: one-ratio	-11473.124883
Model 3: discrete	-11270.557945
Model 7: beta	-11276.876824
Model 8: beta&w>1	-11272.854268


Model 0 vs 1	401.6349100000007

Model 2 vs 1	0.0

Model 8 vs 7	8.045112000003428

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-PB)

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

    29 T      0.861         1.903
   517 I      0.870         1.918
   520 T      0.959*        2.053
   655 Q      0.641         1.566
   923 K      0.731         1.705
   931 E      0.980*        2.085

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-PB)

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

     8 T      0.838         1.347 +- 0.359
    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      0.799         1.315 +- 0.379
    29 T      0.963*        1.469 +- 0.159
   202 T      0.584         1.041 +- 0.569
   512 T      0.637         1.139 +- 0.496
   515 T      0.755         1.265 +- 0.426
   517 I      0.968*        1.474 +- 0.145
   518 K      0.796         1.313 +- 0.380
   520 T      0.984*        1.488 +- 0.096
   541 P      0.581         1.037 +- 0.569
   543 A      0.591         1.045 +- 0.570
   544 I      0.525         1.014 +- 0.533
   595 H      0.522         1.010 +- 0.535
   602 N      0.864         1.378 +- 0.317
   603 D      0.567         1.059 +- 0.525
   605 E      0.900         1.413 +- 0.266
   606 P      0.756         1.274 +- 0.411
   655 Q      0.911         1.420 +- 0.264
   672 G      0.664         1.137 +- 0.532
   674 A      0.581         1.073 +- 0.523
   923 K      0.946         1.456 +- 0.191
   927 S      0.763         1.270 +- 0.426
   928 T      0.711         1.223 +- 0.450
   931 E      0.990*        1.493 +- 0.075
   932 S      0.578         1.072 +- 0.521
   934 F      0.518         0.969 +- 0.577
   935 S      0.579         1.033 +- 0.572
   938 V      0.825         1.333 +- 0.372
   940 S      0.810         1.326 +- 0.370
   947 L      0.556         1.021 +- 0.561
   952 Y      0.859         1.368 +- 0.336
  1005 M      0.754         1.272 +- 0.412
  1008 D      0.891         1.404 +- 0.281
  1009 A      0.758         1.265 +- 0.429
  1012 T      0.793         1.301 +- 0.402
  1013 H      0.546         0.995 +- 0.579
  1271 T      0.663         1.163 +- 0.490