Table 4 |
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|
Correction parameter λ2 for the sum statistics k = 2 and k = 3. λ2 is estimated by a fit for Eq. (21) using optimal the Gumbel-parameters λ and S0 from optimal score statistics (k = 1). BLOSUM62 with affine gap costs (α = 12, β = 1) was used as scoring system. |
||
|
L |
||
|
|
||
|
60 |
2.692 ± 0.30% |
|
|
80 |
1.631 ± 0.63% |
1.074 ± 2.59% |
|
100 |
1.488 ± 0.23% |
0.649 ± 2.06% |
|
150 |
1.056 ± 0.06% |
0.344 ± 1.90% |
|
200 |
0.749 ± 0.13% |
0.280 ± 1.14% |
|
300 |
0.463 ± 0.15% |
0.189 ± 0.70% |
|
400 |
0.338 ± 0.29% |
0.139 ± 0.92% |
|
|
||
|
Wolfsheimer et al. Algorithms for Molecular Biology 2007 2:9 doi:10.1186/1748-7188-2-9 |
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