• DocumentCode
    274808
  • Title

    Nucleotide sequence analysis using correlation images

  • Author

    Ward, Matthew O. ; Adams, David S.

  • Author_Institution
    Worcester Polytech. Inst., MA, USA
  • fYear
    1990
  • fDate
    22-25 May 1990
  • Firstpage
    49
  • Lastpage
    56
  • Abstract
    An application area for computer visualization, namely, nucleotide sequence analysis, and a visualization technique, termed a correlation image (CI), are presented. A CI is produced by comparing two sequences in all possible alignments, with each image row corresponding to a distinct alignment. Information of interest to molecular biologists (e.g., inverted and direct repeats, insertions, deletions, homology divergence) are clearly manifested as highly distinct geometric patterns in the image. A typical CI may represent several megabytes of information, yet the display can easily be created and scanned in seconds. The derivation and interpretation of CIs are shown. They are compared with other nucleotide sequence analysis techniques. The power of CIs in uncovering homologies is illustrated
  • Keywords
    DNA; biology computing; correlation methods; molecular biophysics; computer visualization; correlation image; distinct alignment; distinct geometric patterns; homologies; molecular biology; nucleotide sequence analysis; visualization technique; Biological information theory; Biology computing; DNA; Databases; Genetics; Humans; Image analysis; Image sequence analysis; Performance analysis; Sequences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Visualization in Biomedical Computing, 1990., Proceedings of the First Conference on
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-8186-2039-0
  • Type

    conf

  • DOI
    10.1109/VBC.1990.109301
  • Filename
    109301