Literature DB >> 25665661

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

R Mott1.   

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.

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Year:  1992        PMID: 25665661     DOI: 10.1007/BF02458620

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  13 in total

1.  An accurate approximation to the distribution of the length of the longest matching word between two random DNA sequences.

Authors:  R F Mott; T B Kirkwood; R N Curnow
Journal:  Bull Math Biol       Date:  1990       Impact factor: 1.758

2.  Protein database searches for multiple alignments.

Authors:  S F Altschul; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1990-07       Impact factor: 11.205

3.  Construction of validated, non-redundant composite protein sequence databases.

Authors:  A J Bleasby; J C Wootton
Journal:  Protein Eng       Date:  1990-01

4.  Methods for assessing the statistical significance of molecular sequence features by using general scoring schemes.

Authors:  S Karlin; S F Altschul
Journal:  Proc Natl Acad Sci U S A       Date:  1990-03       Impact factor: 11.205

5.  A test for the statistical significance of DNA sequence similarities for application in databank searches.

Authors:  R F Mott; T B Kirkwood; R N Curnow
Journal:  Comput Appl Biosci       Date:  1989-04

6.  Improved tools for biological sequence comparison.

Authors:  W R Pearson; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1988-04       Impact factor: 11.205

7.  Phase transitions in sequence matches and nucleic acid structure.

Authors:  M S Waterman; L Gordon; R Arratia
Journal:  Proc Natl Acad Sci U S A       Date:  1987-03       Impact factor: 11.205

8.  The significance of protein sequence similarities.

Authors:  J F Collins; A F Coulson; A Lyall
Journal:  Comput Appl Biosci       Date:  1988-03

9.  A comprehensive set of sequence analysis programs for the VAX.

Authors:  J Devereux; P Haeberli; O Smithies
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

10.  Rapid similarity searches of nucleic acid and protein data banks.

Authors:  W J Wilbur; D J Lipman
Journal:  Proc Natl Acad Sci U S A       Date:  1983-02       Impact factor: 11.205

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  18 in total

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Journal:  Nucleic Acids Res       Date:  2001-01-15       Impact factor: 16.971

Review 2.  Improving the accuracy of PSI-BLAST protein database searches with composition-based statistics and other refinements.

Authors:  A A Schäffer; L Aravind; T L Madden; S Shavirin; J L Spouge; Y I Wolf; E V Koonin; S F Altschul
Journal:  Nucleic Acids Res       Date:  2001-07-15       Impact factor: 16.971

3.  Sensitivity and selectivity in protein structure comparison.

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Journal:  Protein Sci       Date:  2004-03       Impact factor: 6.725

Review 4.  The limits of protein sequence comparison?

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Journal:  Curr Opin Struct Biol       Date:  2005-06       Impact factor: 6.809

5.  A protein alignment scoring system sensitive at all evolutionary distances.

Authors:  S F Altschul
Journal:  J Mol Evol       Date:  1993-03       Impact factor: 2.395

6.  Finding Protein and Nucleotide Similarities with FASTA.

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Journal:  Curr Protoc Bioinformatics       Date:  2016-03-24

7.  Pairwise Heuristic Sequence Alignment Algorithm Based on Deep Reinforcement Learning.

Authors:  Yong-Joon Song; Dong Jin Ji; Hyein Seo; Gyu-Bum Han; Dong-Ho Cho
Journal:  IEEE Open J Eng Med Biol       Date:  2021-01-29

8.  Local Alignment of DNA Sequence Based on Deep Reinforcement Learning.

Authors:  Yong-Joon Song; Dong-Ho Cho
Journal:  IEEE Open J Eng Med Biol       Date:  2021-04-27

9.  New finite-size correction for local alignment score distributions.

Authors:  Yonil Park; Sergey Sheetlin; Ning Ma; Thomas L Madden; John L Spouge
Journal:  BMC Res Notes       Date:  2012-06-12

10.  Island method for estimating the statistical significance of profile-profile alignment scores.

Authors:  Aleksandar Poleksic
Journal:  BMC Bioinformatics       Date:  2009-04-20       Impact factor: 3.169

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