아덴신택스기반 의료 논리 모듈 엔진의 구조
1)경북대학교 자연과학대학 컴퓨터과학과
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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