A Survey on Multiple Sequence Alignment using Metaheuristics

被引:0
作者
Dey, Ashmita [1 ]
Saha, Indrajit [1 ]
Maulik, Ujjwal [2 ]
机构
[1] Natl Inst Tech Teachers Training & Res, Dept Comp Sci & Engn, Kolkata, India
[2] Jadavpur Univ, Dept Comp Sci & Engn, Kolkata, India
来源
2017 7TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT) | 2017年
关键词
Dynamic programming; Evolutionary algorithms; Multiple sequence alignment; Metaheuristics; GENETIC ALGORITHM; TABU SEARCH; CLASSIFICATION; INFORMATION;
D O I
10.1109/CSNT.2017.53
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Over the past two decades, various research works have been going on Multiple Sequence Alignment (MSA) and it becomes an important domain in bioinformatics. This is an NPhard problem. For this purpose, various traditional, heuristics and metaheuristic methods have been applied. Among these methods, metaheuristics show an effective output to overcome the bottleneck of MSA problem. Different metaheuristic methods and software have been developed to overcome the speed and accuracy problem of MSA, while the number of sequences increases. In this article, we have surveyed widely used metaheuristic methods and alignment tools applied for solving MSA problem. However, after reviewing we can conclude that the time complexity is still a big challenge for MSA problem.
引用
收藏
页码:279 / 284
页数:6
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