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An Improved Scoring Matrix for Multiple Sequence Alignment
Joint Authors
Shu, Jian-Jun
Yong, Kian Yan
Chan, Weng Kong
Source
Mathematical Problems in Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-01-11
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Shu, Jian-Jun& Yong, Kian Yan& Chan, Weng Kong. 2012. An Improved Scoring Matrix for Multiple Sequence Alignment. Mathematical Problems in Engineering،Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-1001639
Modern Language Association (MLA)
Shu, Jian-Jun…[et al.]. An Improved Scoring Matrix for Multiple Sequence Alignment. Mathematical Problems in Engineering No. 2012 (2012), pp.1-9.
https://search.emarefa.net/detail/BIM-1001639
American Medical Association (AMA)
Shu, Jian-Jun& Yong, Kian Yan& Chan, Weng Kong. An Improved Scoring Matrix for Multiple Sequence Alignment. Mathematical Problems in Engineering. 2012. Vol. 2012, no. 2012, pp.1-9.
https://search.emarefa.net/detail/BIM-1001639
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1001639