Literature DB >> 19518267

Relations between Shannon entropy and genome order index in segmenting DNA sequences.

Yi Zhang1.   

Abstract

Shannon entropy H and genome order index S are used in segmenting DNA sequences. Zhang [Phys. Rev. E 72, 041917 (2005)] found that the two schemes are equivalent when a DNA sequence is converted to a binary sequence of S (strong H bond) and W (weak H bond). They left the mathematical proof to mathematicians who are interested in this issue. In this paper, a possible mathematical explanation is given. Moreover, we find that Chargaff parity rule 2 is the necessary condition of the equivalence, and the equivalence disappears when a DNA sequence is regarded as a four-symbol sequence. At last, we propose that S-2(-H) may be related to species evolution.

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Year:  2009        PMID: 19518267     DOI: 10.1103/PhysRevE.79.041918

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  4 in total

1.  'Genome order index' should not be used for defining compositional constraints in nucleotide sequences--a case study of the Z-curve.

Authors:  Eran Elhaik; Dan Graur; Kresimir Josić
Journal:  Biol Direct       Date:  2010-02-17       Impact factor: 4.540

2.  A rebuttal to the comments on the genome order index and the Z-curve.

Authors:  Ren Zhang
Journal:  Biol Direct       Date:  2011-02-16       Impact factor: 4.540

3.  Information compression exploits patterns of genome composition to discriminate populations and highlight regions of evolutionary interest.

Authors:  Nicholas J Hudson; Laercio R Porto-Neto; James Kijas; Sean McWilliam; Ryan J Taft; Antonio Reverter
Journal:  BMC Bioinformatics       Date:  2014-03-07       Impact factor: 3.169

4.  Is agriculture driving the diversification of the Bemisia tabaci species complex (Hemiptera: Sternorrhyncha: Aleyrodidae)?: Dating, diversification and biogeographic evidence revealed.

Authors:  Laura M Boykin; Charles D Bell; Gregory Evans; Ian Small; Paul J De Barro
Journal:  BMC Evol Biol       Date:  2013-10-18       Impact factor: 3.260

  4 in total

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