The BLAST computer program presently uses computer simulations to give accurate estimates of statistical significance for sequence matches. Recent advances in the statistical theory of gapped sequence alignments indicates a need for further rigorous mathematical results in the underlying statistical theory. This project aims to provide those results. In particular, I have developed as mathematical proofs the limiting evolution of the composition of high scoring segments as a Brownian motion, a result that can be used to improve the accuracy of approximations to the statistics of gapped alignments. In addition, the edge effects present because real sequences have limited lengths appear as 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. - BLAST Sequence Matching Statistics

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Intramural Research (Z01)
Project #
1Z01LM000088-01
Application #
6228045
Study Section
Special Emphasis Panel (CBB)
Project Start
Project End
Budget Start
Budget End
Support Year
1
Fiscal Year
1999
Total Cost
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
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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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