Implementation of Web-based Microbial Database

신용원*1), 박병래2), 심춘보3), 이희우4)

1)부산가톨릭대학교 보건과학대학 병원경영학과
2)부산가톨릭대학교 보건과학대학 방사선학과
3)부산가톨릭대학교 컴퓨터정보공학부
4)인제대학교 의용공학과

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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Microbial Database_KOSMI.hwp

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