• DocumentCode
    1791713
  • Title

    Big data in genomics: An overview

  • Author

    Bhardwaj, Romil ; Sethi, Ankit ; Nambiar, Raghunath

  • Author_Institution
    Cisco Syst., Inc., Univ. of Southern California, San Jose, CA, USA
  • fYear
    2014
  • fDate
    27-30 Oct. 2014
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    Studies show that healthcare industry in U.S. alone could save billions of dollars by utilizing big data and analytics technologies. Big Data can improve operational efficiencies, help predict and plan responses to disease epidemics, improve the quality of monitoring of clinical trials, and optimize healthcare spending at all levels from patients to hospital systems to governments. Another key area is genomics sequencing which is expected to be the future of healthcare. In this paper the authors look at the opportunities, work in progress and challenges of genomics with emerging big data and analytics.
  • Keywords
    Big Data; bioinformatics; genomics; health care; hospitals; Big Data analytics; U.S; clinical trial monitoring quality improvement; disease epidemic response planning; disease epidemic response prediction; genomics sequencing; healthcare industry; healthcare optimization; hospital systems; operational efficiency improvement; Big data; Bioinformatics; DNA; Diseases; Genomics; Sequential analysis; Big Data; Genomics; Healthcare;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Big Data (Big Data), 2014 IEEE International Conference on
  • Conference_Location
    Washington, DC
  • Type

    conf

  • DOI
    10.1109/BigData.2014.7004392
  • Filename
    7004392