Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/101375
Title: An improved scoring matrix for multiple sequence alignment
Authors: Shu, Jian-Jun
Yong, Kian Yan
Chan, Weng Kong
Keywords: DRNTU::Engineering::Mathematics and analysis
Issue Date: 2012
Source: Shu, J. J., Yong, K. Y., & Chan, W. K. (2012). An improved scoring matrix for multiple sequence alignment. Mathematical problems in engineering, 2012-490649.
Series/Report no.: Mathematical problems in engineering
Abstract: The way for performing multiple sequence alignment is based on the criterion of the maximum-scored information content computed from a weight matrix, but it is possible to have two or more alignments to have the same highest score leading to ambiguities in selecting the best alignment. This paper addresses this issue by introducing the concept of joint weight matrix to eliminate the randomness in selecting the best multiple sequence alignment. Alignments with equal scores are iteratively rescored with the joint weight matrix of increasing level (nucleotide pairs, triplets, and so on) until one single best alignment is eventually found. This method for resolving ambiguity in multiple sequence alignment can be easily implemented by use of the improved scoring matrix.
URI: https://hdl.handle.net/10356/101375
http://hdl.handle.net/10220/18649
DOI: http://dx.doi.org/10.1155/2012/490649
Rights: © 2012 The Author(s). This paper was published in Mathematical Problems in Engineering and is made available as an electronic reprint (preprint) with permission of The Author(s).The paper can be found at the following official DOI: [http://dx.doi.org/10.1155/2012/490649].  One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:MAE Journal Articles

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