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Maximum-likelihood estimation of the statistical distribution of Smith-Waterman local sequence similarity scores.

Abstract:
A method is described for estimating the distribution and hence testing the statistical significance of sequence similarity scores obtained during a data-bank search. Maximum-likelihood is used to fit a model to the scores, avoiding any costly simulation of random sequences. The method is applied in detail to the Smith-Waterman algorithm when gaps are allowed, and is shown to give results very similar to those obtained by simulation.
Publication status:
Published

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Publisher copy:
10.1007/bf02458620

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Institution:
University of Oxford
Department:
Oxford, MSD, Clinical Medicine, WTC Human Genetics
Journal:
Bulletin of mathematical biology
Volume:
54
Issue:
1
Pages:
59-75
Publication date:
1992-01-05
DOI:
EISSN:
1522-9602
ISSN:
0092-8240
URN:
uuid:32d9274c-6d27-430f-837e-dcdb7ca69ca1
Source identifiers:
73960
Local pid:
pubs:73960

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