유전체 생태계 분석을 위한 알고리즘 구현: 미토콘드리아 사례. (Korean)

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  • Author(s): 최성자; 조한욱
  • Source:
    Journal of Digital Convergence; Apr2016, Vol. 14 Issue 4, p349-353, 5p
  • Additional Information
    • Alternate Title:
      The Algorithm of implementation for genome analysis ecosystems: Mitochondria's case. (English)
    • Abstract:
      The studies on the human environment and ecosystem analysis is being actively researched. In recent years, The service of genome analysis has been offering the customized service to prevent the disease as reading an individual's genome information. The genome information by analyzing technology is being required accurate and fast analyses of ecosystem-dielectrics due to the spread of the disease, the use of genetically modified organism and the influx of exotic. In this paper the algorithm of K-Mean clustering for a new classification system was utilized. It will provide new dielectrics information as quickly and accurately for many biologists. [ABSTRACT FROM AUTHOR]
    • Abstract:
      Copyright of Journal of Digital Convergence is the property of Society of Digital Policy & Management and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)