• DocumentCode
    2081652
  • Title

    The improvement and implementation in the algorithm of finding maximal motifs in DNA sequences

  • Author

    Yifan, Fu ; Dongdai, Zhou ; Shaochun, Zhong ; Ruiqing, Zhao

  • Author_Institution
    Ideal Inst. of Inf. Technol., Northeast normal Univ., Jilin, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    176
  • Lastpage
    179
  • Abstract
    DNA sequences are formed by nucleotides A;C; G; T. Often, a particular word called motif can occur in many sequences of a group. There has been an algorithm to find both the frequent and the maximal motif in the DNA sequences, but it has some disadvantages. Such as the time and place cost is very high. In the paper, we build a tree based on the motif length to improve it, and implement a small system according to the original and improved algorithm. Then we compare the latest new algorithms about the problem with them, and give the empirical result of them.
  • Keywords
    DNA; bioinformatics; DNA sequences; maximal motifs; nucleotides; Costs; DNA; Educational institutions; Electronic learning; Frequency; Information technology; Intelligent systems; Knowledge engineering; Laboratories; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4730920
  • Filename
    4730920