• DocumentCode
    3231265
  • Title

    Software engineering challenges in bioinformatics

  • Author

    Barker, Jonathan ; Thornton, Janet

  • Author_Institution
    Eur. Bioinformatics Inst., Cambridge, UK
  • fYear
    2004
  • fDate
    23-28 May 2004
  • Firstpage
    12
  • Lastpage
    15
  • Abstract
    Data from biological research is proliferating rapidly and advanced data storage and analysis methods are required to manage it. We introduce the main sources of biological data available and outline some of the domain specific problems associated with automated analysis. We discuss two major areas in which we are likely experience software engineering challenges over the next ten years: data integration and presentation.
  • Keywords
    biology computing; data analysis; software engineering; bioinformatics; biological data; biological research; data analysis; data integration; data presentation; data storage; software engineering; Bioinformatics; Crystallography; DNA; Data analysis; Genomics; Information retrieval; Memory; Proteins; Sequences; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 2004. ICSE 2004. Proceedings. 26th International Conference on
  • ISSN
    0270-5257
  • Print_ISBN
    0-7695-2163-0
  • Type

    conf

  • DOI
    10.1109/ICSE.2004.1317409
  • Filename
    1317409