Abstract
Based on the classifications of the four nucleic acid bases, He and Wang reduced a DNA sequence to three binary sequences, which are called the characteristic sequences (J. Chem. Inf. Comput. Sci. 42 (2002) 1080). In this paper, we associate each characteristic sequence with a bL / bL matrix by giving a 2-D ‘two horizontal lines’ graphical representation, and thus obtain a 3-component vector with entries being the sums of the maximal and minimal eigenvalues of the bL / bL matrices. The introduced vector results in more simple characterizations and comparisons among the coding sequences of exon 1 of beta-globin gene of eleven different species.
Keywords: dna, characteristic sequence, graphical representation, matrix, eigenvalue
Combinatorial Chemistry & High Throughput Screening
Title: Numerical Characterization and Similarity Analysis of DNA Sequences Based on 2-D Graphical Representation of the Characteristic Sequences
Volume: 6 Issue: 8
Author(s): Chun Li and Jun Wang
Affiliation:
Keywords: dna, characteristic sequence, graphical representation, matrix, eigenvalue
Abstract: Based on the classifications of the four nucleic acid bases, He and Wang reduced a DNA sequence to three binary sequences, which are called the characteristic sequences (J. Chem. Inf. Comput. Sci. 42 (2002) 1080). In this paper, we associate each characteristic sequence with a bL / bL matrix by giving a 2-D ‘two horizontal lines’ graphical representation, and thus obtain a 3-component vector with entries being the sums of the maximal and minimal eigenvalues of the bL / bL matrices. The introduced vector results in more simple characterizations and comparisons among the coding sequences of exon 1 of beta-globin gene of eleven different species.
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Cite this article as:
Li Chun and Wang Jun, Numerical Characterization and Similarity Analysis of DNA Sequences Based on 2-D Graphical Representation of the Characteristic Sequences, Combinatorial Chemistry & High Throughput Screening 2003; 6 (8) . https://dx.doi.org/10.2174/138620703771826900
DOI https://dx.doi.org/10.2174/138620703771826900 |
Print ISSN 1386-2073 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-5402 |

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