Table 2 |
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|
Estimates for the Expected Nucleotide Mutation Frequency. |
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|
Relative Count |
Natural Parameter |
Maximum a posteriori |
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|
- |
A |
C |
G |
T |
A |
C |
G |
T |
A |
C |
G |
T |
|
|
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|
A |
97.46 |
0.10 |
0.24 |
1.15 |
97.46 |
0.10 |
0.24 |
1.15 |
97.47 |
0.13 |
0.20 |
1.14 |
|
C |
0.27 |
99.72 |
0.01 |
1.16 |
0.27 |
99.72 |
0.01 |
1.16 |
0.24 |
99.66 |
0.02 |
1.17 |
|
G |
1.16 |
0.02 |
99.58 |
0.18 |
1.16 |
0.02 |
99.58 |
0.18 |
1.16 |
0.02 |
99.65 |
0.23 |
|
T |
1.11 |
0.16 |
0.17 |
97.51 |
1.11 |
0.16 |
0.17 |
97.51 |
1.12 |
0.19 |
0.13 |
97.46 |
|
|
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|
Three estimates for the expected frequency of nucleotide mutation P as a function of the counts C in Table 1 given as relative counts with pij = Cij/Σi Cij , natural parameter means as per equation (13), and maximum a posteriori estimates when constrained by the polymerase misincorporation model with frequencies
T. The relative-count and natural-parameter frequencies are virtually identical, while
the polymerase model-constrained estimates has minor deviation. The significance of
differences is difficult to discern via inspection. However, small variances between
the modelled values are magnified geometrically by the relationship between nucleotide
and codon mutation frequencies, as per Additional File 2, and exponentially by the action of PCR amplification. Note similarities between
pij and |
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|
Fernandes et al. Algorithms for Molecular Biology 2010 5:35 doi:10.1186/1748-7188-5-35 |
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