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dc.contributor.author박현석*
dc.date.accessioned2016-08-28T11:08:25Z-
dc.date.available2016-08-28T11:08:25Z-
dc.date.issued2010*
dc.identifier.isbn9781424483044*
dc.identifier.otherOAK-13552*
dc.identifier.urihttps://dspace.ewha.ac.kr/handle/2015.oak/229529-
dc.description.abstractBy taking the fact that human genome consists of more than 35% of repetitive sequence, we present a data warehouse model that is efficient for nucleotide sequence based analysis. Roman's algorithm has been adapted in order to find repeat regions and these repeats are modeled into snowflake schemas for fast storing and querying results. ©2010 IEEE.*
dc.description.sponsorshipIEEE Computer Society;IEEE;Shanghai University of T.C.M*
dc.languageEnglish*
dc.titleA genomic datawarehouse model for fast manipulation using repeat region*
dc.typeConference Paper*
dc.relation.indexSCOPUS*
dc.relation.startpage868*
dc.relation.lastpage869*
dc.relation.journaltitle2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, BIBMW 2010*
dc.identifier.doi10.1109/BIBMW.2010.5703950*
dc.identifier.scopusid2-s2.0-79952023376*
dc.author.googleRhie A.*
dc.author.googleLee K.*
dc.author.googlePark H.-S.*
dc.contributor.scopusid박현석(22433646000)*
dc.date.modifydate20240322133434*
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인공지능대학 > 컴퓨터공학과 > Journal papers
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