Multiple Sequence Alignment Based on Developed Genetic Algorithm

Multiple Sequences Alignment (MSA) is the one of the most important research themes in Bioinformatics. It is useful in many applications like family and domain classification, pattern identification, recently, the advantages of the developed methods for Multiple Sequences Alignment have been used in solving a lot of problems of the computational systems. The aim of this work is to get the better Multiple Sequence Alignment by focused on time and storage parameters, this aim has been done by developing and proof the performance of the Genetic Algorithm for finding the best (maximum score) multiple alignment among sequences.