Literature DB >> 17713253

[Multifractal analysis of genomes sequences' CGR graph].

Weijuan Fu1, Yuanyuan Wang, Daru Lu.   

Abstract

To describe the fractal feature of CGR (Chaos-game representation) graph of genomes sequences, a multifractal theory is presented in the analysis. By studying the effect of three probability sets on the scale invariance range, the probability set with the best scale invariance is chosen, and then the smooth general dimension spectrum and multifractal spectrum are calculated. The experimental result shows that the probability set composed of the relative probability has the best scale-invariance performance. The scale invariance has three different variance regions, which indicate that genomes sequence segments with different lengths have different distribution rules. It is concluded that the multifractal method is effective for describing the fractal feature of CGR graph of genomes sequences.

Mesh:

Year:  2007        PMID: 17713253

Source DB:  PubMed          Journal:  Sheng Wu Yi Xue Gong Cheng Xue Za Zhi        ISSN: 1001-5515


  2 in total

1.  Biological sequences as pictures: a generic two dimensional solution for iterated maps.

Authors:  Jonas S Almeida; Susana Vinga
Journal:  BMC Bioinformatics       Date:  2009-03-31       Impact factor: 3.169

2.  Additive methods for genomic signatures.

Authors:  Rallis Karamichalis; Lila Kari; Stavros Konstantinidis; Steffen Kopecki; Stephen Solis-Reyes
Journal:  BMC Bioinformatics       Date:  2016-08-22       Impact factor: 3.169

  2 in total

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