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7. KISTI 연구성과
연구보고서
2021
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This item is licensed Korea Open Government License
dc.contributor.author
황용득
dc.contributor.author
안홍렬
dc.contributor.author
김혁주
dc.contributor.author
김승원
dc.contributor.author
김현태
dc.contributor.author
김예지
dc.contributor.author
한채은
dc.date.accessioned
2022-06-27T05:54:51Z
dc.date.available
2022-06-27T05:54:51Z
dc.date.issued
2021
dc.identifier.other
K-21-SG29-03R-1
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/17091
dc.publisher
한국과학기술정보연구원
dc.title
슈퍼컴퓨터 기반 대규모 전장유전체 변이분석을 위한 파이프라인 최적화 기술 개발
dc.title.alternative
Development of pipeline optimization technology for whole-genome sequencing variation analysis based on supercomputer
dc.type
Report
dc.contributor.affiliation
수원대학교 산학협력단
dc.contributor.affiliation
한국과학기술정보연구원
dc.contributor.affiliation
KISTI
dc.identifier.localId
8100364
dc.subject.keyword
전장유전체
dc.subject.keyword
슈퍼컴퓨터
dc.subject.keyword
변이분석
dc.subject.keyword
분산처리
dc.subject.keyword
생명정보학
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2021
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