--- EXPERIMENT NOTES




 --- EXPERIMENT PROPERTIES

#Thu Nov 17 16:51:28 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/106/CG3036-PA/input.fasta
input.names=
mrbayes.params=
codeml.params=



 --- PSRF SUMMARY

      Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS/106/CG3036-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS/106/CG3036-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/106/CG3036-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)

Run   Arithmetic mean   Harmonic mean
--------------------------------------
1      -5673.16         -5690.53
2      -5673.63         -5688.30
--------------------------------------
TOTAL    -5673.37         -5689.94
--------------------------------------


Model parameter summaries over the runs sampled in files
"/opt/ADOPS/106/CG3036-PA/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS/106/CG3036-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/106/CG3036-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}         1.147074    0.006543    0.985517    1.295303    1.144048   1232.60   1366.80    1.000
r(A<->C){all}   0.108350    0.000274    0.077547    0.142156    0.107783    991.44   1041.45    1.001
r(A<->G){all}   0.200322    0.000507    0.157454    0.244977    0.199729   1073.41   1077.47    1.000
r(A<->T){all}   0.175721    0.000556    0.129862    0.220362    0.175040    626.37    718.30    1.001
r(C<->G){all}   0.061753    0.000093    0.043299    0.081344    0.061382    886.76    953.95    1.000
r(C<->T){all}   0.388730    0.000844    0.334164    0.443266    0.387940    771.23    853.83    1.001
r(G<->T){all}   0.065124    0.000147    0.041265    0.088163    0.064471   1216.62   1240.19    1.000
pi(A){all}      0.175387    0.000084    0.158463    0.194255    0.175219   1024.16   1141.11    1.000
pi(C){all}      0.307543    0.000123    0.286158    0.329346    0.307479   1026.55   1072.19    1.000
pi(G){all}      0.271962    0.000115    0.251601    0.292927    0.271682   1104.41   1151.47    1.000
pi(T){all}      0.245108    0.000098    0.226863    0.265377    0.244960   1089.73   1137.52    1.000
alpha{1,2}      0.179498    0.000355    0.144139    0.215582    0.178064   1181.81   1237.19    1.000
alpha{3}        3.440839    0.814150    1.838829    5.222487    3.320499   1266.62   1314.36    1.000
pinvar{all}     0.372117    0.001250    0.304319    0.440758    0.373297   1284.12   1289.65    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	-5172.501475
Model 2: PositiveSelection	-5172.501497
Model 0: one-ratio	-5253.724355
Model 3: discrete	-5169.60076
Model 7: beta	-5177.03905
Model 8: beta&w>1	-5169.6457


Model 0 vs 1	162.44576000000052

Model 2 vs 1	4.400000034365803E-5

Model 8 vs 7	14.786700000000565

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_CG3036-PA)

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

    49 R      0.730         1.078
    54 S      0.978*        1.374
    55 V      0.589         0.909
    59 L      0.898         1.280
    60 V      0.992**       1.391
    63 S      0.985*        1.383
    66 A      0.993**       1.392
    74 P      0.970*        1.365
    77 S      0.951*        1.343
   230 S      0.811         1.178
   423 K      0.968*        1.363
   425 Q      0.994**       1.393
   444 A      0.726         1.074
   482 E      0.810         1.177

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_CG3036-PA)

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

    49 R      0.657         1.146 +- 0.550
    54 S      0.909         1.441 +- 0.299
    55 V      0.524         0.980 +- 0.597
    59 L      0.810         1.336 +- 0.418
    60 V      0.908         1.442 +- 0.285
    63 S      0.896         1.430 +- 0.303
    66 A      0.938         1.469 +- 0.252
    74 P      0.835         1.371 +- 0.360
    77 S      0.786         1.323 +- 0.399
   230 S      0.688         1.205 +- 0.492
   423 K      0.869         1.402 +- 0.339
   425 Q      0.945         1.475 +- 0.243
   444 A      0.663         1.151 +- 0.553
   482 E      0.668         1.186 +- 0.493