Literature DB >> 6842586

Random sequences.

W M Fitch.   

Abstract

The comparison of protein or nucleic acid sequences frequently leads to observations whose improbability can be tested only by Monte Carlo techniques that require randomizing the sequences being compared. Two decisions need to be made. One is whether one demands a resulting random sequence to have the properties of the original sequence (a shuffled sequence) or only expects it to have them (a representative sequence). The second decision concerns the properties of the sequence of which two are composition and nearest-neighbor frequencies. It is shown that biased nearest-neighbor frequencies can significantly affect the probability of observing a given result. Methods for producing random sequences according to these decisions are given.

Mesh:

Year:  1983        PMID: 6842586     DOI: 10.1016/0022-2836(83)90002-5

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  21 in total

1.  The influence of nearest neighbors on the rate and pattern of spontaneous point mutations.

Authors:  R D Blake; S T Hess; J Nicholson-Tuell
Journal:  J Mol Evol       Date:  1992-03       Impact factor: 2.395

2.  Comparative statistics for DNA and protein sequences: single sequence analysis.

Authors:  S Karlin; G Ghandour
Journal:  Proc Natl Acad Sci U S A       Date:  1985-09       Impact factor: 11.205

3.  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

4.  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

5.  Reciprocal relationship between stem-loop potential and substitution density in retroviral quasispecies under positive Darwinian selection.

Authors:  D R Forsdyke
Journal:  J Mol Evol       Date:  1995-12       Impact factor: 2.395

6.  Applications and statistics for multiple high-scoring segments in molecular sequences.

Authors:  S Karlin; S F Altschul
Journal:  Proc Natl Acad Sci U S A       Date:  1993-06-15       Impact factor: 11.205

7.  On the statistical significance of nucleic acid similarities.

Authors:  D J Lipman; W J Wilbur; T F Smith; M S Waterman
Journal:  Nucleic Acids Res       Date:  1984-01-11       Impact factor: 16.971

8.  Random generation of RNA secondary structures according to native distributions.

Authors:  Markus E Nebel; Anika Scheid; Frank Weinberg
Journal:  Algorithms Mol Biol       Date:  2011-10-12       Impact factor: 1.405

9.  Decoy methods for assessing false positives and false discovery rates in shotgun proteomics.

Authors:  Guanghui Wang; Wells W Wu; Zheng Zhang; Shyama Masilamani; Rong-Fong Shen
Journal:  Anal Chem       Date:  2009-01-01       Impact factor: 6.986

10.  Sequence and domain relationships of ntrC and nifA from Klebsiella pneumoniae: homologies to other regulatory proteins.

Authors:  M Drummond; P Whitty; J Wootton
Journal:  EMBO J       Date:  1986-02       Impact factor: 11.598

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