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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Physical Review Lett...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Physical Review Letters
Article . 1994 . Peer-reviewed
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Linguistic Features of Noncoding DNA Sequences

descriptionPublicationkeyboard_double_arrow_right Article 05 Dec 1994Publisher:American Physical Society (APS)Journal:Physical Review Letters, volume 73, pages 3,169-3,172 (issn: 0031-9007, Copyright policy )
Authors: Ary L. Goldberger; Chung-Kang Peng; Michael Simons; Rosario N. Mantegna; Sergey V. Buldyrev; H. E. Stanley; Shlomo Havlin;

doi: 10.1103/physrevlett.73.3169

pmid: 10057305

Linguistic Features of Noncoding DNA Sequences

Abstract

We extend the Zipf approach to analyzing linguistic texts to the statistical study of DNA base pair sequences and find that the noncoding regions are more similar to natural languages than the coding regions. We also adapt the Shannon approach to quantifying the "redundancy" of a linguistic text in terms of a measurable entropy function, and demonstrate that noncoding regions in eukaryotes display a smaller entropy and larger redundancy than coding regions, supporting the possibility that noncoding regions of DNA may carry biological information.

Related Organizations
Keywords

DNA, Bacterial, Base Sequence, Statistics as Topic, Linguistics, Sequence Analysis, DNA, DNA, Helminth, Eukaryotic Cells, Codon, Nonsense, Genetic Code, DNA, Viral, Animals, Humans, DNA, Fungal, Algorithms, Language

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 250
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Top 1%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
250
Top 10%
Top 1%
Top 1%
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