Literature DB >> 19658528

Quantitative measure of randomness and order for complete genomes.

Sing-Guan Kong1, Wen-Lang Fan, Hong-Da Chen, Jan Wigger, Andrew E Torda, H C Lee.   

Abstract

We propose an order index, phi, which gives a quantitative measure of randomness and order of complete genomic sequences. It maps genomes to a number from 0 (random and of infinite length) to 1 (fully ordered) and applies regardless of sequence length. The 786 complete genomic sequences in GenBank were found to have phi values in a very narrow range, phig=0.031(-0.015)+0.028. We show this implies that genomes are halfway toward being completely random, or, at the "edge of chaos." We further show that artificial "genomes" converted from literary classics have phi 's that almost exactly coincide with phig, but sequences of low information content do not. We infer that phig represents a high information-capacity "fixed point" in sequence space, and that genomes are driven to it by the dynamics of a robust growth and evolution process. We show that a growth process characterized by random segmental duplication can robustly drive genomes to the fixed point.

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Year:  2009        PMID: 19658528     DOI: 10.1103/PhysRevE.79.061911

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


  3 in total

1.  Universal global imprints of genome growth and evolution--equivalent length and cumulative mutation density.

Authors:  Hong-Da Chen; Wen-Lang Fan; Sing-Guan Kong; Hoong-Chien Lee
Journal:  PLoS One       Date:  2010-04-14       Impact factor: 3.240

2.  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

3.  Informational laws of genome structures.

Authors:  Vincenzo Bonnici; Vincenzo Manca
Journal:  Sci Rep       Date:  2016-06-29       Impact factor: 4.379

  3 in total

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