A Survey on Multiple Sequence Alignment in Bioinformatics
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| Title: | A Survey on Multiple Sequence Alignment in Bioinformatics |
|---|---|
| Authors: | Rathod, Namrata |
| Source: | International Journal of Advanced Research in Computer Science; Vol. 8 No. 5 (2017): May-June 2017; 679-682 ; 0976-5697 ; 10.26483/ijarcs.v8i5 |
| Publisher Information: | International Journal of Advanced Research in Computer Science |
| Publication Year: | 2017 |
| Subject Terms: | Multiple Sequence Alignment (MSA), Multiobjective Evolutionary Algorithm based on Decomposition (MOEA/D), Genetic Algorithm (GA) |
| Description: | Multiple Sequence Alignment (MSA) is a key step for performing various tasks in bioinformatics, such as identification of conserved motifs, 2D and 3D Structure prediction of proteins, etc. Various algorithms are designed to implement MSA and they are evolved too, to give biologically perfect alignment. In this paper, the survey of Multiple Sequence Alignment using Multi Objective Optimization Algorithm and Single Objective Optimization Algorithm which are evolved till now are specified. |
| Document Type: | article in journal/newspaper review |
| File Description: | application/pdf |
| Language: | English |
| Relation: | http://www.ijarcs.info/index.php/Ijarcs/article/view/3392/3400; http://www.ijarcs.info/index.php/Ijarcs/article/view/3392 |
| DOI: | 10.26483/ijarcs.v8i5.3392 |
| Availability: | http://www.ijarcs.info/index.php/Ijarcs/article/view/3392 https://doi.org/10.26483/ijarcs.v8i5.3392 |
| Rights: | Copyright (c) 2017 International Journal of Advanced Research in Computer Science |
| Accession Number: | edsbas.7CC9846 |
| Database: | BASE |
| Abstract: | Multiple Sequence Alignment (MSA) is a key step for performing various tasks in bioinformatics, such as identification of conserved motifs, 2D and 3D Structure prediction of proteins, etc. Various algorithms are designed to implement MSA and they are evolved too, to give biologically perfect alignment. In this paper, the survey of Multiple Sequence Alignment using Multi Objective Optimization Algorithm and Single Objective Optimization Algorithm which are evolved till now are specified. |
|---|---|
| DOI: | 10.26483/ijarcs.v8i5.3392 |
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