Pairwise alignment of the DNA sequence using hypercomplex number representation

A new set of DNA base-nucleic acid codes and their hypercomplex number representation have been introduced for taking the probability of each nucleotide into full account. A new scoring system has been proposed to suit the hypercomplex number representation of the DNA base-nucleic acid codes and inc...

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Main Authors: Shu, Jian Jun, Ouw, Li Shan
Other Authors: School of Mechanical and Aerospace Engineering
Format: Article
Language:English
Published: 2011
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Online Access:https://hdl.handle.net/10356/94026
http://hdl.handle.net/10220/7215
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-940262023-03-04T17:17:56Z Pairwise alignment of the DNA sequence using hypercomplex number representation Shu, Jian Jun Ouw, Li Shan School of Mechanical and Aerospace Engineering DRNTU::Science::Biological sciences::Biomathematics A new set of DNA base-nucleic acid codes and their hypercomplex number representation have been introduced for taking the probability of each nucleotide into full account. A new scoring system has been proposed to suit the hypercomplex number representation of the DNA base-nucleic acid codes and incorporated with the method of dot matrix analysis and various algorithms of sequence alignment. The problem of DNA sequence alignment can be processed in a rather similar way to pairwise alignment of the protein sequence. Accepted version 2011-10-11T06:50:29Z 2019-12-06T18:49:28Z 2011-10-11T06:50:29Z 2019-12-06T18:49:28Z 2004 2004 Journal Article Shu, J. J., & Ouw, L. S. (2004). Pairwise Alignment of the DNA Sequence using Hypercomplex Number Representation. Bulletin of Mathematical Biology, 66(5), 1423-1438. 0092-8240 https://hdl.handle.net/10356/94026 http://hdl.handle.net/10220/7215 10.1016/j.bulm.2004.01.005 89706 en Bulletin of mathematical biology © 2003 Society for Mathematical Biology. This is the author created version of a work that has been peer reviewed and accepted for publication in Bulletin of Mathematical Biology, published by Elsevier on behalf of Society for Mathematical Biology. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.bulm.2004.01.005]. 16 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Science::Biological sciences::Biomathematics
spellingShingle DRNTU::Science::Biological sciences::Biomathematics
Shu, Jian Jun
Ouw, Li Shan
Pairwise alignment of the DNA sequence using hypercomplex number representation
description A new set of DNA base-nucleic acid codes and their hypercomplex number representation have been introduced for taking the probability of each nucleotide into full account. A new scoring system has been proposed to suit the hypercomplex number representation of the DNA base-nucleic acid codes and incorporated with the method of dot matrix analysis and various algorithms of sequence alignment. The problem of DNA sequence alignment can be processed in a rather similar way to pairwise alignment of the protein sequence.
author2 School of Mechanical and Aerospace Engineering
author_facet School of Mechanical and Aerospace Engineering
Shu, Jian Jun
Ouw, Li Shan
format Article
author Shu, Jian Jun
Ouw, Li Shan
author_sort Shu, Jian Jun
title Pairwise alignment of the DNA sequence using hypercomplex number representation
title_short Pairwise alignment of the DNA sequence using hypercomplex number representation
title_full Pairwise alignment of the DNA sequence using hypercomplex number representation
title_fullStr Pairwise alignment of the DNA sequence using hypercomplex number representation
title_full_unstemmed Pairwise alignment of the DNA sequence using hypercomplex number representation
title_sort pairwise alignment of the dna sequence using hypercomplex number representation
publishDate 2011
url https://hdl.handle.net/10356/94026
http://hdl.handle.net/10220/7215
_version_ 1759855211844730880