Optimizing genetic algorithm parameters for multiple sequence alignment based on structural information
Year: 2016
Type: article
Abstract: Multiple sequence alignments (MSAs) are commonly used approaches in the analysis of sequence structure relationships. MSA is generally the alignment of three or more protein or nucleic acid sequences that maximises the similarities between sequences. In this paper, we use genetic algorithm to compute multiple sequence alignment using the structural information as the scoring scheme implemented in the program Multiobjective Optimizer for Sequence Alignments based on Structural Evaluations (MOSAStrE). We performed numerical experiments on datasets obtained from benchmark alignment database (BAliBASE) to solve multiple sequence alignment. To test the performance of the proposed algorithm, numerical simulations were carried out in deciding the appropriate set of parameter values for the
Source: Advanced Studies in Biology
Authors: May Rashiele K. Sueno, Joel M. Addawe
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: hybrid
OpenAlex ID: W2526713751