Abstract:
Bioinformatics is the study and application of
computational methods to life sciences data and the
application of information technology to store,
organize and analyze the vast amount of biological
data. Protein sequence alignment is one of the crucial
tasks of computational biology which forms the basis of
many other tasks like protein structure prediction,
protein function prediction and phylogenetic
analysis. Alignment algorithms are needed to compare
two or more sequences. Pairwise sequence alignment
is concerned with comparing two Protein or DNA
sequences - finding the global and local “optimum
alignment” of the two sequences. Multiple sequence
alignment (MSA) is a key step in elucidating
evolutionary relationships, annotating newly
sequenced segments, and understanding the
relationship between biological sequences. So,
pairwise alignment algorithm for protein sequences is
proposed. Genetic algorithm with Bi-Directional
Extension (BIDE), an efficient algorithm for mining
frequent closed sequences, is used for multiple
sequence alignment.