Complexity measures for the evolutionary categorization of organisms-Reference-Cited by-同舟云学术

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Complexity measures for the evolutionary categorization of organisms

Published:2014-12 Issue: Volume:53 Page:5-14
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Provata A.,Nicolis C.,Nicolis G.

Funder

IKYDA 2013–2014 cooperative program

MACOMSYS research project of the European Union (European Social Fund – ESF)

Greek national funds

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference52 articles.

1. Long- and short-range correlations in genome organization;Almirantis;J. Stat. Phys.,1999

2. Characterizing long-range correlations in DNA sequences from wavelet analysis;Arneodo;Phys. Rev. Lett.,1995

3. Wavelet based fractal analysis of DNA sequences;Arneodo;Physica D,1996

4. Multi-scale coding of genomic information: from DNA sequence to genome structure and function;Arneodo;Phys. Rep.,2011

5. A simple and species-independent coding measure;Carpena;Gene,2002

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1. Bioinformatics tools for the sequence complexity estimates;Biophysical Reviews;2023-09-15

2. Theory of complexity, origin and complex systems;Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems;2022

3. Spatial constrains and information content of sub-genomic regions of the human genome;iScience;2021-02

4. Uncovering patterns of the evolution of genomic sequence entropy and complexity;Molecular Genetics and Genomics;2020-10-21

5. Assessing information content and interactive relationships of subgenomic DNA sequences of the MHC using complexity theory approaches based on the non-extensive statistical mechanics;Physica A: Statistical Mechanics and its Applications;2018-09

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