• DocumentCode
    917766
  • Title

    Single nucleotide polymorphism data analysis - State-of-the-art review on this emerging field from a signal processing viewpoint

  • Author

    Su, Shih-Chieh ; Kuo, C. -C Jay ; Chen, Ting

  • Author_Institution
    Southern California Univ., CA
  • Volume
    24
  • Issue
    1
  • fYear
    2007
  • Firstpage
    75
  • Lastpage
    82
  • Abstract
    The basic structural units of the genome are nucleotides. A single nucleotide polymorphism (SNP) is a mutation at a single nucleotide position. This paper discusses several major problems in SNP data analysis and review some existing solutions in this work. Generally speaking, a rich set of SNP analysis problems are cast in the signal processing framework. Our objective is to offer a state-of-the art review on this topic from a signal processing viewpoint so that researchers in the signal processing field can grasp the important domain knowledge to overcome the barrier between the two fields
  • Keywords
    genetic engineering; genetics; medical signal processing; signal processing; single nucleotide polymorphism data analysis; Bioinformatics; Biological cells; Biomedical signal processing; DNA; Data analysis; Diseases; Genomics; Humans; Sequences; Signal processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    1053-5888
  • Type

    jour

  • DOI
    10.1109/MSP.2007.273060
  • Filename
    4049915