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BioMed Research International
Volume 2018 (2018), Article ID 1718046, 9 pages
https://doi.org/10.1155/2018/1718046
Research Article

Disease Sequences High-Accuracy Alignment Based on the Precision Medicine

1School of Mathematics and Statistics, Hainan Normal University, Haikou, Hainan 571158, China
2School of Information Science Technology, Hainan Normal University, Haikou, Hainan 571158, China

Correspondence should be addressed to HaiXia Long; moc.qq@68496146

Received 22 November 2017; Accepted 18 January 2018; Published 22 February 2018

Academic Editor: Tao Huang

Copyright © 2018 ManZhi Li et al. 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.

Abstract

High-accuracy alignment of sequences with disease information contributes to disease treatment and prevention. The results of multiple sequence alignment depend on the parameters of the objective function, including gap open penalties (GOP), gap extension penalties (GEP), and substitution matrix (SM). Firstly, the theory parameter formulas relating to GOP, GAP, and SM are inferred, combining unaligned sequence length, number, and identity. Secondly, we tested the rationality of the theory parameter formulas, with experiment on the ClustalW and MAFFT program. In addition, we obtained a group of MAFFT program parameters according to the formulas proposed. The results of all experiments show that the SPS (sum-of-pair score) obtained from theory parameters is better than the SPS obtained from the default parameters of ClustalW and MAFFT. In both theory and practice, our method to determine the parameters is feasible and efficient. These can provide high-accuracy alignment results for precision medicine.