• DocumentCode
    1387230
  • Title

    High-Throughput Biological Data Analysis

  • Author

    Elvitigala, Thanura R. ; Polpitiya, Ashoka D. ; Wang, Wenxue ; Stöckel, Jana ; Khandelwal, Abha ; Quatrano, Ralph S. ; Pakrasi, Himadri B. ; Ghosh, Bijoy K.

  • Volume
    30
  • Issue
    6
  • fYear
    2010
  • Firstpage
    81
  • Lastpage
    100
  • Abstract
    This article presents a broad overview of techniques, both analytical and technological, that are used in systems biology to analyze large-scale data sets. While focusing on the computational aspects, the associated biology of cell regulation is also discussed. Discussions are centered around two widely used high-throughput technologies, namely, DNA microarrays and MS-based proteomics. The biological principles behind these techniques are presented. Typical steps involved in generation of high-throughput data to final biological interpretations of analyzed results are discussed. Various attempts to derive systems-level biological networks utilizing microarray and proteomics data are also presented.
  • Keywords
    cellular biophysics; lab-on-a-chip; molecular biophysics; proteomics; DNA microarrays; MS-based proteomics; biological data analysis; cellular regulation; large-scale data sets; systems biology; Biological processes; Biological system modeling; Data analysis; Throughput; Cellular regulation;
  • fLanguage
    English
  • Journal_Title
    Control Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1066-033X
  • Type

    jour

  • DOI
    10.1109/MCS.2010.938100
  • Filename
    5643472