Literature DB >> 2379020

Distribution of the number of matches between nucleotide sequences.

I Rinsma1, M Hendy, D Penny.   

Abstract

When two strings of symbols are aligned it is important to know whether the observed number of matches is better than that expected between two independent sequences with the same frequency of symbols. When strings are of different lengths, nulls need to be inserted in order to align the sequences. One approach is to use simple approximations of sampling for replacement. We describe an algorithm for exactly determining the frequencies of given numbers of matches, sampling without replacement. This does not lead to a simple closed form expression. However, we show examples where sampling with, or without, replacement give very similar results and the simple approach may be adequate for all but the smallest cases.

Mesh:

Year:  1990        PMID: 2379020     DOI: 10.1007/bf02458576

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


  7 in total

1.  Significance levels for biological sequence comparison using non-linear similarity functions.

Authors:  S F Altschul; B W Erickson
Journal:  Bull Math Biol       Date:  1988       Impact factor: 1.758

2.  A general method applicable to the search for similarities in the amino acid sequence of two proteins.

Authors:  S B Needleman; C D Wunsch
Journal:  J Mol Biol       Date:  1970-03       Impact factor: 5.469

3.  DNA sequence comparisons of the human, mouse, and rabbit immunoglobulin kappa gene.

Authors:  S Karlin; G Ghandour; D E Foulser
Journal:  Mol Biol Evol       Date:  1985-01       Impact factor: 16.240

4.  Estimating the reliability of evolutionary trees.

Authors:  D Penny; M Hendy
Journal:  Mol Biol Evol       Date:  1986-09       Impact factor: 16.240

5.  Testing the theory of evolution by comparing phylogenetic trees constructed from five different protein sequences.

Authors:  D Penny; L R Foulds; M D Hendy
Journal:  Nature       Date:  1982-05-20       Impact factor: 49.962

Review 6.  The evolving tRNA molecule.

Authors:  R J Cedergren; D Sankoff; B LaRue; H Grosjean
Journal:  CRC Crit Rev Biochem       Date:  1981

7.  Evolution of lipoproteins deduced from protein sequence data.

Authors:  W C Barker; M O Dayhoff
Journal:  Comp Biochem Physiol B       Date:  1977
  7 in total

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