--- EXPERIMENT NOTES




 --- EXPERIMENT PROPERTIES

#Fri Oct 27 00:20:25 WEST 2017
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=/usr/bin/
input.sequences=
mrbayes.pburnin=2500
mrbayes.bin=mb
tcoffee.bin=t_coffee
mrbayes.dir=/usr/bin/
tcoffee.dir=
tcoffee.minScore=3
input.fasta=/opt/ADOPS/Ebola_B1_2/NP/input.fasta
input.names=
mrbayes.params=
codeml.params=



 --- PSRF SUMMARY

      Estimated marginal likelihoods for runs sampled in files
"/opt/ADOPS/Ebola_B1_2/NP/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS/Ebola_B1_2/NP/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/Ebola_B1_2/NP/batch/allfiles/mrbayes/input.fasta.fasta.mrb.lstat)

Run   Arithmetic mean   Harmonic mean
--------------------------------------
1     -13775.91        -13850.02
2     -13780.56        -13865.14
--------------------------------------
TOTAL   -13776.60        -13864.44
--------------------------------------


Model parameter summaries over the runs sampled in files
"/opt/ADOPS/Ebola_B1_2/NP/batch/allfiles/mrbayes/input.fasta.fasta.mrb.run1.p" and "/opt/ADOPS/Ebola_B1_2/NP/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/Ebola_B1_2/NP/batch/allfiles/mrbayes/input.fasta.fasta.mrb.pstat".

95% HPD Interval
--------------------
Parameter         Mean      Variance     Lower       Upper       Median    min ESS*  avg ESS    PSRF+
------------------------------------------------------------------------------------------------------
TL{all}         4.981023    0.076030    4.450105    5.522384    4.970749    169.52    246.77    1.001
r(A<->C){all}   0.122897    0.000104    0.104722    0.144401    0.122747    530.45    606.89    1.002
r(A<->G){all}   0.326298    0.000331    0.291011    0.361456    0.326337    340.16    434.23    1.000
r(A<->T){all}   0.039391    0.000053    0.025138    0.053613    0.038967    637.68    673.82    1.000
r(C<->G){all}   0.023533    0.000045    0.010569    0.036456    0.023273    605.90    670.95    1.000
r(C<->T){all}   0.435949    0.000388    0.397447    0.472454    0.436228    423.28    452.72    1.000
r(G<->T){all}   0.051933    0.000067    0.037093    0.068698    0.051838    418.05    518.72    1.001
pi(A){all}      0.314452    0.000050    0.300631    0.327881    0.314421    774.02    789.37    1.002
pi(C){all}      0.237216    0.000038    0.225395    0.248985    0.237149    374.67    573.57    1.000
pi(G){all}      0.219354    0.000037    0.207012    0.230946    0.219283    534.97    643.21    1.000
pi(T){all}      0.228978    0.000039    0.216892    0.240491    0.228774    825.70    888.11    1.004
alpha{1,2}      0.204389    0.000125    0.183448    0.226197    0.204100    502.07    570.98    1.001
alpha{3}        4.224573    0.690204    2.733981    5.836078    4.110626    889.58   1032.39    1.000
pinvar{all}     0.034537    0.000184    0.007214    0.060049    0.034642    908.91    969.15    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	-12761.551714
Model 2: PositiveSelection	-12761.551679
Model 0: one-ratio	-13241.1815
Model 3: discrete	-12686.233508
Model 7: beta	-12694.623125
Model 8: beta&w>1	-12688.712295


Model 0 vs 1	959.2595720000027

Model 2 vs 1	6.999999823165126E-5

Model 8 vs 7	11.82166000000143

Additional information for M7 vs M8:
Naive Empirical Bayes (NEB) analysis
Positively selected sites (*: P>95%; **: P>99%)
(amino acids refer to 1st sequence: gb:KU143801:56-3026|Organism:Zaire ebolavirus|Strain Name:Ebola virus H.sapiens-wt/SLE/2014/Makona-S33|Protein Name:nucleprotein|Gene Symbol:NP)

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

   536 H      0.829         3.274
   540 P      0.503         2.199
   541 L      0.840         3.313
   542 T      0.999**       3.824

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: gb:KU143801:56-3026|Organism:Zaire ebolavirus|Strain Name:Ebola virus H.sapiens-wt/SLE/2014/Makona-S33|Protein Name:nucleprotein|Gene Symbol:NP)

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

   111 C      0.728         1.284 +- 0.371
   504 G      0.532         1.111 +- 0.437
   516 T      0.722         1.291 +- 0.351
   536 H      0.892         1.423 +- 0.230
   537 A      0.664         1.222 +- 0.409
   540 P      0.745         1.291 +- 0.375
   541 L      0.906         1.435 +- 0.208
   542 T      0.981*        1.488 +- 0.090
   549 G      0.544         1.125 +- 0.433
   550 S      0.541         1.128 +- 0.425
   574 S      0.543         1.126 +- 0.430
   619 Q      0.593         1.178 +- 0.407