The Algorithm of implementation for genome analysis ecosystems : Mitochondria's case

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. Key Words : Bio Informatics, Clustering, K-Mean, Genomics, Health care * 본 논문은 2015 년 충남대학교의 학술연구비에 의하여 지원되었음(No. 2015115601) Received 26 February 2016, Revised 28 March 2016Accepted 20 April 2016, Published 28 April 2016Corresponding Author: Han-Wook, Cho(Chungnam National University)Email: hwcho@cnu.ac.krⒸ The Society of Digital Policy & Management. All rights reserved. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.ISSN: 1738-1916

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