IMPROVING MULTIPLE SEQUENCE ALIGNMENT BY PARTICLE SWARM INTELLIGENCE

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Mozhgan RahmatiNia S.; Khanteymoori AliReza

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Seminar Paper

Paper Information

Seminar: IRANIAN CONFERENCE ON BIOINFORMATICS
Year:2014 | Issue:5

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Title

IMPROVING MULTIPLE SEQUENCE ALIGNMENT BY PARTICLE SWARM INTELLIGENCE

Author(s)

Mozhgan RahmatiNia S. | Khanteymoori AliReza | Issue Writer Certificate

Keywords

BIOINFORMATICS

MULTIPLE SEQUENCE ALIGNMENT

PARTICLE SWARM OPTIMIZATION

DYNAMIC PROGRAMMING

Abstract

MULTIPLE SEQUENCE ALIGNMENT (MSA) IS IMPORTANT AND CHALLENGING PROBLEM FOR ANALYSIS OF BIOLOGICAL SEQUENCES IN BIOINFORMATICS AND PLAYS A CRITICAL ROLE IN BIOINFORMATICS SCIENCE AND APPLICATIONS. IN THIS PAPER, MULTIPLE SEQUENCE ALIGNMENT IS PERFORMED USING PARTICLE SWARM OPTIMIZATION (PSO) ALGORITHMS. THESE ALGORITHMS ARE BASED ON THE SOCIAL INTELLIGENCE AND GROUPING IN OPTIMIZATION ALGORITHMS. THIS ALGORITHM IS IMPLEMENTED IN JAVA WITH BALIBASE DATASET. THE RESULTS OBTAINED FROM THIS METHOD COMPARED WITH THE RESULTS OF THE CLUSTALX METHOD. AS A RESULT, PROPOSED METHOD HAS A VALUABLE PERFORMANCE FOR MULTIPLE SEQUENCE ALIGNMENT, AND CAN BE USED AS A NEW METHOD IN ALIGNMENT TASK.

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APA: Copy

Mozhgan RahmatiNia, S., & Khanteymoori, AliReza. (2014). IMPROVING MULTIPLE SEQUENCE ALIGNMENT BY PARTICLE SWARM INTELLIGENCE. IRANIAN CONFERENCE ON BIOINFORMATICS. SID. https://sid.ir/paper/929048/en

Vancouver: Copy

Mozhgan RahmatiNia S., Khanteymoori AliReza. IMPROVING MULTIPLE SEQUENCE ALIGNMENT BY PARTICLE SWARM INTELLIGENCE. 2014. Available from: https://sid.ir/paper/929048/en

IEEE: Copy

S. Mozhgan RahmatiNia, and AliReza Khanteymoori, “IMPROVING MULTIPLE SEQUENCE ALIGNMENT BY PARTICLE SWARM INTELLIGENCE,” presented at the IRANIAN CONFERENCE ON BIOINFORMATICS. 2014, [Online]. Available: https://sid.ir/paper/929048/en

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