| Autor: |
Sudhir singh Soam, Arunima Mishra, B K Tripathi |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
2020 International Conference on Computational Performance Evaluation (ComPE). |
| Popis: |
Multiple sequence alignment (MSA) is an elementary task of bioinformatics where the alignment of three or more biological sequences is produced in a way that helps to identify the homologous regions in the sequences. This research paper proposes a genetic algorithm-based optimization approach that can enhance the value of multiple sequence alignment (MSA) generated by the progressive technique. Mutation operators like gap insertion mutation and gap removal mutations are applied to enhance the value of the MSA obtained by the progressive technique of alignment. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
