• DocumentCode
    2341667
  • Title

    Visualization techniques for genomic data

  • Author

    Loraine, Ann E. ; Helt, Gregg A.

  • Author_Institution
    Affymetrix, Inc, Emeryville, CA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    321
  • Lastpage
    326
  • Abstract
    In order to take full advantage of the newly available public human genome sequence data and associated annotations, biologists require visualization tools that can accommodate the high frequency of alternative splicing in human genes and other complexities. We describe techniques for presenting human genomic sequence data and annotations in an interactive, graphical format, with the aim of providing developers with a guide to what features are most likely to meet biologists´ needs. These techniques include: one-dimensional semantic zooming to show sequence data alongside gene structures; moveable, adjustable tiers; visual encoding of the translation frame to show how alternative transcript structure affects encoded proteins; and display of protein domains in the context of genomic sequence to show how alternative splicing impacts protein structure and function.
  • Keywords
    biology computing; data visualisation; genetics; medical computing; sequences; biomedical research; gene structures; genomic data visualization; human gene splicing; interactive graphical format; one-dimensional semantic zooming; protein domains; protein structure; public human genome sequence data; Bioinformatics; Biological information theory; Data visualization; Displays; Encoding; Frequency; Genomics; Humans; Proteins; Splicing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioinformatics Conference, 2002. Proceedings. IEEE Computer Society
  • Print_ISBN
    0-7695-1653-X
  • Type

    conf

  • DOI
    10.1109/CSB.2002.1039354
  • Filename
    1039354