• DocumentCode
    1651412
  • Title

    A Clustal alignment improver using evolutionary algorithms

  • Author

    Thomsen, René ; Fogel, Gary B. ; Krink, Thiemo

  • Author_Institution
    Dept. of Comput. Sci., Aarhus Univ., Denmark
  • Volume
    1
  • fYear
    2002
  • Firstpage
    121
  • Lastpage
    126
  • Abstract
    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
  • Keywords
    biocomputing; genetic algorithms; Clustal alignment improver; bioinformatics; computational effort; evolutionary algorithms; multiple sequence alignment; Amino acids; Bioinformatics; Computer science; DNA; Evolution (biology); Evolutionary computation; Genomics; Phylogeny; Sequences; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation, 2002. CEC '02. Proceedings of the 2002 Congress on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7282-4
  • Type

    conf

  • DOI
    10.1109/CEC.2002.1006220
  • Filename
    1006220
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1651412