A Survey on Multiple Sequence Alignment in Bioinformatics
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| Název: | A Survey on Multiple Sequence Alignment in Bioinformatics |
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| Autoři: | Rathod, Namrata |
| Zdroj: | International Journal of Advanced Research in Computer Science; Vol. 8 No. 5 (2017): May-June 2017; 679-682 ; 0976-5697 ; 10.26483/ijarcs.v8i5 |
| Informace o vydavateli: | International Journal of Advanced Research in Computer Science |
| Rok vydání: | 2017 |
| Témata: | Multiple Sequence Alignment (MSA), Multiobjective Evolutionary Algorithm based on Decomposition (MOEA/D), Genetic Algorithm (GA) |
| Popis: | 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. |
| Druh dokumentu: | article in journal/newspaper review |
| Popis souboru: | application/pdf |
| Jazyk: | 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 |
| Dostupnost: | 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 |
| Přístupové číslo: | edsbas.7CC9846 |
| Databáze: | BASE |
Nájsť tento článok vo Web of Science | Abstrakt: | 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. |
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| DOI: | 10.26483/ijarcs.v8i5.3392 |