한국인의 우울 관리를 위한 건강정보서비스 시스템 개발

배정이*1), 이소우2), 윤숙희3), 안경애4)

1)인제대학교 의과대학 간호학과
2)서울대학교 간호대학
3)인제대학교 의과대학 간호학과
4)서울대학교 간호대학

Abstract : Genome sequence data of organisms increase many times bigger annually. However, most of existing compression algorithms are just able to compress DNA data sequences by the ratio of 1.6 bits per base. In order to improve this status, this paper presents a new compression method for human DNA data based on the whole genome sequence. It just finds some regions in the whole genome sequence matching well with a given sequence to be compressed and then records the regions and some differences between them. The method achieves average compression ratio of about 0.2 bits per base and can be applied to any DNA data for organisms whose whole genome sequences are already setup.
keyword : whole genome sequence, human, DNA, data compression

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