진료문서 공유 및 의료정보 네트워크 구축을 위한 CDR(Clinical Document Repository) 프레임워크의 설계
1)경북대학교 컴퓨터과학과 지능정보연구실
2)경북대학교 컴퓨터과학과 지능정보연구실
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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