지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2013.11
- 수록면
- 802 - 805 (4page)
이용수
초록· 키워드
오류제보하기
Sequence Alignment is one of the fundamental tasks in genome studies. It allows to measure distance between sequences, precisely. On the other hand, the drawback of alignment-based measurement is the high time complexity and it can be very time-consuming for a long sequence. To overcome this issue, a lot of researches have been carried out to alignment-free distance measurement. However, there has been lack of practical comparison among various distance measurement methods. In this paper, we compare alignment-free distance measurement methods that are widely used such as Base-Base Correlation(BBC), Feature Frequency Profiles(FFPs) with the seqeuncing distance measurent methods such as Improved Complete Composition Vectors(ICCVs). Also, we determine the qualification as distance measurement metric and look into the limitations of each algorithm.
목차
Abstract
Ⅰ. 서론
Ⅱ. 관련연구
Ⅲ. 실험방법
Ⅳ. 실험결과
Ⅳ. 결론 및 향후 연구 방향
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UCI(KEPA) : I410-ECN-0101-2015-560-001004835