Table 5. Estimated proportions of deleterious, neutral, and advantageous nonsynonymous mutations in real data sets.
Data set | |||||||||
---|---|---|---|---|---|---|---|---|---|
rbcL | Mit proteins | PB2 | |||||||
Penalty | p− | p0 | p+ | p− | p0 | p+ | p− | p0 | p+ |
No penalty (λ = 0) | 0.952 | 0.042 | 0.006 | 0.893 | 0.103 | 0.005 | 0.948 | 0.047 | 0.005 |
Normal | |||||||||
σ = 100 | 0.952 | 0.042 | 0.006 | 0.893 | 0.103 | 0.005 | 0.947 | 0.048 | 0.005 |
σ = 10 | 0.943 | 0.049 | 0.007 | 0.888 | 0.107 | 0.005 | 0.931 | 0.063 | 0.006 |
Dirichlet | |||||||||
α = 0.01 | 0.939 | 0.054 | 0.008 | 0.875 | 0.120 | 0.005 | 0.894 | 0.098 | 0.008 |
α = 0.1 | 0.805 | 0.184 | 0.010 | 0.747 | 0.245 | 0.008 | 0.633 | 0.356 | 0.011 |