A Novel Approach to Multiple Sequence Alignment Using Multiobjective Evolutionary Algorithm Based on Decomposition

Multiple sequence alignment (MSA) is a fundamental and key step for implementing other tasks in bioinformatics, such as phylogenetic analyses, identification of conserved motifs and domains, structure prediction, etc. Despite the fact that there are many methods to implement MSA, biologically perfec...

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Bibliographic Details
Published in:	IEEE journal of biomedical and health informatics Vol. 20; no. 2; pp. 717 - 727
Main Authors:	Zhu, Huazheng, He, Zhongshi, Jia, Yuanyuan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.03.2016 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithm design and analysis Algorithms Alignment Bioinformatics Computational Biology - methods Databases, Protein Decomposition Evolutionary algorithms Linear programming MOEA/D Multi-objective optimization Multiple sequence alignment Muscles Optimization Sequence Alignment - methods Silicon Sociology Statistics Tasks Vectors multiobjective optimization multiple sequence alignment (MSA) Multiobjective evolutionary algorithm framework based on decomposition (MOEA/D)
ISSN:	2168-2194, 2168-2208, 2168-2208
Online Access:	Get full text
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