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Testing the hypothesis that GC% values sampled from 20-kb windows follow a binomial distribution |
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| seq |
# win (n) |
mean |
var σ2 |
binomial var ![]() |
σ2/![]() |
c2 = (n - 1) σ2/![]() |
p-value |
|
|
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| MHC class III |
32 |
0.5188 |
0.0005345 |
0.00001248 |
42.8215 |
1327.47 |
0 |
| MHC class II |
45 |
0.4105 |
0.0007268 |
0.00001210 |
60.0709 |
2703.19 |
0 |
|
|
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| random (class III) |
32 |
0.5185 |
0.00001137 |
0.00001248 |
0.9110 |
28.2402 |
0.609 |
| random (class II) |
45 |
0.4106 |
0.00001255 |
0.00001210 |
1.0369 |
45.6244 |
0.404 |
|
|
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| B. burgdorferi |
45 |
0.2859 |
0.0001515 |
0.00001021 |
14.8432 |
653.099 |
0 |
|
Five sequences are tested: MHC class III and MHC class II isochore sequences, two random sequences similar these two MHC sequences (same length and same base composition), and bacterium Borrelia burgdorferi genome sequence. Detailed explanation of column headers: 1. Sequence name. 2. Total number of windows in the sequence (n), with each contributing a GC% value. 3. Mean of the GC% (m). 4. Variance of the GC% (σ2). 5. Variance of GC% expected from a binomial distribution ( | |||||||
Li et al. Genome Biology 2002 3:preprint0009.1 doi:10.1186/gb-2002-3-11-preprint0009 |
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