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Statistical Significance of Local Alignments with Gaps

Vingron, Martin
Waterman, Michael S.
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Issue Date
1995
Submitted date
2024-05-29
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Abstract
Recent results on the statistical significance of local alignment with gaps are presented. Parameters necessary for computation of the probability that an alignment achieves a certain score can be approximated by a computationally fast simulation. We present applications to database searching where there-sorting of the output bystatistical significance instead of score leads to improved ability to distinguish sequences homologous to the probe sequence from unrelated sequences.
Citation
Bioinformatics - from nucleic acids and proteins to cell metabolism, 75 - 84
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Type
Book chapter
conference paper
Language
en
Description
Series/Report no.
GBF monographs ; Volume 18
ISSN
0930-4320
EISSN
ISBN
3527300724
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Attribution-NonCommercial-ShareAlike 4.0 International