- 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
- Publisher copy:
- 10.1007/bf02458620
-
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- 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
- Copyright date:
- 1992
Journal article
Maximum-likelihood estimation of the statistical distribution of Smith-Waterman local sequence similarity scores.
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