Literature DB >> 17073319

A three-state model for DNA protein-coding regions.

Armando J Pinho1, António J R Neves, Vera Afreixo, Carlos A C Bastos, Paulo J S G Ferreira.   

Abstract

It is known that the protein-coding regions of DNA are usually characterized by a three-base periodicity. In this paper, we exploit this property, studying a DNA model based on three deterministic states, where each state implements a finite-context model. The experimental results obtained confirm the appropriateness of the proposed approach, showing compression gains in relation to the single finite-context model counterpart. Additionally, and potentially more interesting than the compression gain on its own, is the observation that the entropy associated to each of the three base positions of a codon differs and that this variation is not the same among the organisms analyzed.

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Year:  2006        PMID: 17073319     DOI: 10.1109/TBME.2006.879477

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

1.  IN-MACA-MCC: Integrated Multiple Attractor Cellular Automata with Modified Clonal Classifier for Human Protein Coding and Promoter Prediction.

Authors:  Kiran Sree Pokkuluri; Ramesh Babu Inampudi; S S S N Usha Devi Nedunuri
Journal:  Adv Bioinformatics       Date:  2014-07-15

2.  Characterizing exons and introns by regularity of nucleotide strings.

Authors:  Tonya Woods; Thanawadee Preeprem; Kichun Lee; Woojin Chang; Brani Vidakovic
Journal:  Biol Direct       Date:  2016-02-08       Impact factor: 4.540

3.  Cross chromosomal similarity for DNA sequence compression.

Authors:  Choi-Ping Paula Wu; Ngai-Fong Law; Wan-Chi Siu
Journal:  Bioinformation       Date:  2008-07-14

4.  DNA sequences at a glance.

Authors:  Armando J Pinho; Sara P Garcia; Diogo Pratas; Paulo J S G Ferreira
Journal:  PLoS One       Date:  2013-11-21       Impact factor: 3.240

  4 in total

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