A Clustal Alignment Improver using Evolutionary Algorithms

  title={A Clustal Alignment Improver using Evolutionary Algorithms},
  author={Ren{\'e} Thomsen and Gary B. Fogel and Thiemo Krink},
Multiple sequence alignment (MSA) is a crucial task in bioinformatics. In this study 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. 
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