Literature DB >> 8924645

The modular structure of informational sequences.

A O Schmitt1, W Ebeling, H Herzel.   

Abstract

It is shown that DNA sequences can be decomposed into smaller units much the same as texts can be decomposed into syllables, words, or groups of words. Those smaller units (modules) are extracted from DNA sequences according to statistical criteria. Tests with sequences of known modular structure (two novels and a FORTRAN source code) were performed. The rate to which DNA sequences can be decomposed into modules (modularity) turns out to be a very sensitive measure to distinguish DNA sequences from random sequences.

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Year:  1996        PMID: 8924645     DOI: 10.1016/0303-2647(95)01544-2

Source DB:  PubMed          Journal:  Biosystems        ISSN: 0303-2647            Impact factor:   1.973


  2 in total

1.  On the origin of long-range correlations in texts.

Authors:  Eduardo G Altmann; Giampaolo Cristadoro; Mirko Degli Esposti
Journal:  Proc Natl Acad Sci U S A       Date:  2012-07-02       Impact factor: 11.205

2.  Peptide vocabulary analysis reveals ultra-conservation and homonymity in protein sequences.

Authors:  Derek Gatherer
Journal:  Bioinform Biol Insights       Date:  2009-11-24
  2 in total

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