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Numerical Characterization of DNA Sequence Based on Dinucleotides

Sequence comparison is a primary technique for the analysis of DNA sequences. In order to make quantitative comparisons, one devises mathematical descriptors that capture the essence of the base composition and distribution of the sequence. Alignment methods and graphical techniques (where each sequ...

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Detalles Bibliográficos
Autores principales: Qi, Xingqin, Fuller, Edgar, Wu, Qin, Zhang, Cun-Quan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Scientific World Journal 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3349307/
https://www.ncbi.nlm.nih.gov/pubmed/22619571
http://dx.doi.org/10.1100/2012/104269
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author Qi, Xingqin
Fuller, Edgar
Wu, Qin
Zhang, Cun-Quan
author_facet Qi, Xingqin
Fuller, Edgar
Wu, Qin
Zhang, Cun-Quan
author_sort Qi, Xingqin
collection PubMed
description Sequence comparison is a primary technique for the analysis of DNA sequences. In order to make quantitative comparisons, one devises mathematical descriptors that capture the essence of the base composition and distribution of the sequence. Alignment methods and graphical techniques (where each sequence is represented by a curve in high-dimension Euclidean space) have been used popularly for a long time. In this contribution we will introduce a new nongraphical and nonalignment approach based on the frequencies of the dinucleotide XY in DNA sequences. The most important feature of this method is that it not only identifies adjacent XY pairs but also nonadjacent XY ones where X and Y are separated by some number of nucleotides. This methodology preserves information in DNA sequence that is ignored by other methods. We test our method on the coding regions of exon-1 of β–globin for 11 species, and the utility of this new method is demonstrated.
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spelling pubmed-33493072012-05-22 Numerical Characterization of DNA Sequence Based on Dinucleotides Qi, Xingqin Fuller, Edgar Wu, Qin Zhang, Cun-Quan ScientificWorldJournal Research Article Sequence comparison is a primary technique for the analysis of DNA sequences. In order to make quantitative comparisons, one devises mathematical descriptors that capture the essence of the base composition and distribution of the sequence. Alignment methods and graphical techniques (where each sequence is represented by a curve in high-dimension Euclidean space) have been used popularly for a long time. In this contribution we will introduce a new nongraphical and nonalignment approach based on the frequencies of the dinucleotide XY in DNA sequences. The most important feature of this method is that it not only identifies adjacent XY pairs but also nonadjacent XY ones where X and Y are separated by some number of nucleotides. This methodology preserves information in DNA sequence that is ignored by other methods. We test our method on the coding regions of exon-1 of β–globin for 11 species, and the utility of this new method is demonstrated. The Scientific World Journal 2012-04-24 /pmc/articles/PMC3349307/ /pubmed/22619571 http://dx.doi.org/10.1100/2012/104269 Text en Copyright © 2012 Xingqin Qi et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Qi, Xingqin
Fuller, Edgar
Wu, Qin
Zhang, Cun-Quan
Numerical Characterization of DNA Sequence Based on Dinucleotides
title Numerical Characterization of DNA Sequence Based on Dinucleotides
title_full Numerical Characterization of DNA Sequence Based on Dinucleotides
title_fullStr Numerical Characterization of DNA Sequence Based on Dinucleotides
title_full_unstemmed Numerical Characterization of DNA Sequence Based on Dinucleotides
title_short Numerical Characterization of DNA Sequence Based on Dinucleotides
title_sort numerical characterization of dna sequence based on dinucleotides
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3349307/
https://www.ncbi.nlm.nih.gov/pubmed/22619571
http://dx.doi.org/10.1100/2012/104269
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