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. 2010 Aug 10;10:244. doi: 10.1186/1471-2148-10-244

Table 4.

Ancestral repeats - Posterior differences in first-order root distribution estimates

First-order Markov chain
X πX|A πX|C πX|G πX|T

A 0.3112
[0.3059; 0.3165]
0.1699
[0.1657; 0.1744]
0.2335
[0.2286; 0.2383]
0.2854
[0.2801; 0.2908]
C 0.3583
[0.3515; 0.3653]
0.2464
[0.2403; 0.2527]
0.0345
[0.0308; 0.0382]
0.3607
[0.3539; 0.3678]
G 0.2988
[0.2926; 0.3054]
0.1938
[0.1883; 0.1991]
0.2481
[0.2423; 0.2541]
0.2593
[0.2533; 0.2656]
T 0.2341
[0.2296; 0.2385]
0.1997
[0.1954; 0.2041]
0.2361
[0.2314; 0.2409]
0.3300
[0.3250; 0.3350]


First-order successive approximation

X πX|A πX|C πX|G πX|T

A 0.3176
[0.3117; 0.3237]
(11.40%)
0.1689
[0.1641; 0.1738]
(76.38%)
0.2241
[0.2186; 0.2295]
(1.28%)
0.2894
[0.2835; 0.2953]
(32.79%)

C 0.3632
[0.3540; 0.3724]
(41.70%)
0.2351
[0.2265; 0.2437]
(3.96%)
0.0262
[0.0241; 0.0283]
(0.00%)
0.3755
[0.3656; 0.3855]
(2.12%)

G 0.3130
[0.3055; 0.3205]
(0.62%)
0.1887
[0.1822; 0.1953]
(22.97%)
0.2307
[0.2238; 0.2375]
(0.07%)
0.2677
[0.2606; 0.2750]
(7.94%)

T 0.2399
[0.2343; 0.2455]
(11.93%)
0.1901
[0.1846; 0.1957]
(0.98%)
0.2333
[0.2276; 0.2390]
(44.57%)
0.3367
[0.3302; 0.3433]
(11.10%)

Estimates (mean and accompanying 95% credibility interval) for the four sets of base frequencies at the ancestral root, for both first-order Markov chain approach and the successive approximation first-order approach using our context-dependent model with context-dependent model frequencies. Bayesian p-values are reported within brackets with the successive approximation estimates, shedding light on whether the root distribution probabilities are significantly different from one another under both approaches.