• DocumentCode
    1986643
  • Title

    Fast and accurate probe selection algorithm for large genomes

  • Author

    Sung, Wing-Kin ; Lee, Wah-Heng

  • Author_Institution
    Dept. of Comp. Sci., Nat. Univ. of Singapore, Singapore
  • fYear
    2003
  • fDate
    11-14 Aug. 2003
  • Firstpage
    65
  • Lastpage
    74
  • Abstract
    The oligo microarray (DNA chip) technology in recent years has a significant impact on genomic study. Many fields such as gene discovery, drug discovery, toxicological research and disease diagnosis, will certainly benefit from its use. A microarray is an orderly arrangement of thousands of DNA fragments where each DNA fragment is a probe (or a fingerprint) of a gene/cDNA. It is important that each probe must uniquely associate with a particular gene/cDNA. Otherwise, the performance of the microarray will be affected. Existing algorithms usually select probes using the criteria of homogeneity, sensitivity, and specificity. Moreover, they improve efficiency employing some heuristics. Such approaches reduce the accuracy. Instead, we make use of some smart filtering techniques to avoid redundant computation while maintaining the accuracy. Based on the new algorithm, optimal short (20 bases) or long (50 or 70 bases) probes can be computed efficiently for large genomes.
  • Keywords
    DNA; biology computing; diseases; drugs; fingerprint identification; genetics; patient diagnosis; probes; DNA chip; DNA fragments; accurate probe selection algorithm; disease diagnosis; drug discovery; fast probe selection algorithm; filtering technique; fingerprint; gene discovery; genomes; oligo microarray technology; toxicological research; Bioinformatics; DNA; Diseases; Drugs; Filtering; Fingerprint recognition; Genomics; Pharmaceutical technology; Probes; Toxicology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics Conference, 2003. CSB 2003. Proceedings of the 2003 IEEE
  • Print_ISBN
    0-7695-2000-6
  • Type

    conf

  • DOI
    10.1109/CSB.2003.1227305
  • Filename
    1227305