• DocumentCode
    1818380
  • Title

    Exploiting information in the biomolecular domain: reaching out to medicine

  • Author

    Cameron, Graham

  • Author_Institution
    Eur. Bioinformatics Inst., Wellcome Trust Genome Campus, Cambridge
  • fYear
    2006
  • fDate
    6-9 April 2006
  • Firstpage
    810
  • Lastpage
    811
  • Abstract
    High throughput methods have transformed the biomolecular sciences. The completion of the human genome was a symbolic and substantial scientific achievement. Methods of studying gene expression, molecular interactions and complex structures are all scaling up to enable exhaustive studies creating vast amounts of data. This information is crucial to all scientific endeavour which studies living systems - from yeast to mankind. Nowhere is the potential benefit greater than in medicine and health. Understanding the molecular processes of disease and aging is crucial to human well-being. However, exploiting the diversity of data even in molecular biology challenges our information engineering skills. Rendering disparate information sources developed with different motivations interoperable is far from trivial. The difficulties are even greater when bridging the disciplines of basic biology and medicine. We present methods used to integrate a wide range of biomolecular information which address both technical and ontological aspects of the problem, and a European study of existing research in biology/medicine interface
  • Keywords
    diseases; medical computing; molecular biophysics; ontologies (artificial intelligence); aging; biomolecular sciences; complex structures; disease; gene expression; health; human genome; human well-being; information engineering; living systems; mankind; medicine; molecular biology; molecular interactions; ontology; yeast; Aging; Bioinformatics; Data engineering; Diseases; Engineering in medicine and biology; Fungi; Gene expression; Genomics; Humans; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: Nano to Macro, 2006. 3rd IEEE International Symposium on
  • Conference_Location
    Arlington, VA
  • Print_ISBN
    0-7803-9576-X
  • Type

    conf

  • DOI
    10.1109/ISBI.2006.1625041
  • Filename
    1625041