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

@article{Zhu2016ANA,
  title={A Novel Approach to Multiple Sequence Alignment Using Multiobjective Evolutionary Algorithm Based on Decomposition},
  author={Huazheng Zhu and Zhongshi He and Yuanyuan Jia},
  journal={IEEE Journal of Biomedical and Health Informatics},
  year={2016},
  volume={20},
  pages={717-727}
}
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 perfect alignment approaches are not found hitherto. This paper proposes a novel idea to perform MSA, where MSA is treated as a multiobjective optimization problem. A famous multiobjective evolutionary… CONTINUE READING
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