We heuristically derived two new equations for the scale parameter . This equation can estimate nefficiently with high accuracy. In addition, we have proposed several new formulas for Gumbel pre-factor k based on a path reversal identity and the Poisson clumping heuristic. This formula also provides very accurate results. We also have explored edge effects on the statistics. Edge effects are relevant, because real sequences have limited lengths, generating a correction term in an asymptotic expansion of the probability of sequence matching. This edge effect is likely to be more important in the statistics of matching with gaps than it was in the statistics of matching without gaps, because gapped matches tend to be longer, exhausting the sequences being matched more easily. The NCBI CoreTools now has code that calculates all the modified Gumbel parameters to practical accuracies in less than 1 sec.

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Intramural Research (Z01)
Project #
1Z01LM000088-10
Application #
7735075
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
10
Fiscal Year
2008
Total Cost
$181,052
Indirect Cost
Name
National Library of Medicine
Department
Type
DUNS #
City
State
Country
United States
Zip Code
Spouge, John L (2007) Inequalities on the Overshoot beyond a Boundary for Independent Summands with Differing Distributions. Stat Probab Lett 77:1486-1489
Sheetlin, Sergey; Park, Yonil; Spouge, John L (2005) The Gumbel pre-factor k for gapped local alignment can be estimated from simulations of global alignment. Nucleic Acids Res 33:4987-94
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Park, Yonil; Spouge, John L (2002) The correlation error and finite-size correction in an ungapped sequence alignment. Bioinformatics 18:1236-42
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