• DocumentCode
    8789
  • Title

    SolveBio [Resources_Start-Ups]

  • Author

    Dickinson, Boonsri

  • Volume
    51
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov-14
  • Firstpage
    31
  • Lastpage
    31
  • Abstract
    Cheap DNA-sequencing technologies have sparked rapid growth among biomedical companies looking to create new diagnostic tools and personalized therapeutic drugs, and even to give consumers insight into their own genomes. However, the raw data from an individual DNA sequence actually isn??t very informative on its own; as is the case with a raw trace of GPS data, making sense of an individual DNA sequence usually means situating it in the context of a map. And that´s what New York City–based SolveBio is doing: building a kind of Google Maps for genomics, by combining both public and private data sets into a standardized, quality-controlled collection. Computational biologists and bioinformaticists can then enhance their own software by programming it to tap into SolveBio´s knowledge base using an online connection.
  • fLanguage
    English
  • Journal_Title
    Spectrum, IEEE
  • Publisher
    ieee
  • ISSN
    0018-9235
  • Type

    jour

  • DOI
    10.1109/MSPEC.2014.6934926
  • Filename
    6934926