A Clustal alignment improver using evolutionary algorithms

Multiple sequence alignment (MSA) is a crucial task in bioinformatics. In this paper we extended previous work with evolutionary algorithms (EA) by using MSA solutions obtained from the wellknown Clustal V algorithm as a candidate solution seed of the initial EA population. Our results clearly show that EAs can improve the results of Clustal V significantly with marginal computational effort.