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dc.contributor.author박희진-
dc.date.accessioned2018-04-19T11:30:31Z-
dc.date.available2018-04-19T11:30:31Z-
dc.date.issued2013-01-
dc.identifier.citationTheoretical Computer Science, 14 January 2013, 468, p.92-101en_US
dc.identifier.issn0304-3975-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0304397512010481-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/69782-
dc.description.abstractCircular strings are different from linear strings in that the last symbol is considered to precede the first symbol. Even though circular strings are biologically important, only a few efforts have been made to solve computational problems on circular strings. In this paper, we introduce consensus problems for circular strings of length n and present the first non-trivial algorithms to find a consensus and an optimal alignment for circular strings by the Hamming distance. They are O(n(2) log n)-time algorithms for three circular strings and an O(n(3) log n)-time algorithm for four circular strings. Our algorithms are O(n/ log n) times faster than the naive algorithms directly using the solutions for the linear consensus problems, which take O(n(3)) time for three circular strings and O(n(4)) time for four circular strings. This speedup was achieved by reducing the problems into correlations and by formulating and solving systems of linear equations. Moreover, our algorithms use only O(n) space. (C) 2012 Elsevier B.V. All rights reserved.en_US
dc.description.sponsorshipThis work was supported by NAP of Korea Research Council of Fundamental Science & Technology. The ICT at SeoulNational University provides research facilities for this study. This research was supported by Basic Science ResearchProgram through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science andTechnology (2012-0003214). This work was supported by the National Research Foundation of Korea (NRF) grant funded bythe Korea government(MEST) (No. 2012-0006999) and the Proteogenomic Research Program through the National ResearchFoundation of Korea funded by the Korean Ministry of Education, Science and Technology. This work was supported by theNational Research Foundation of Korea (NRF) grant funded by the Korea government (MEST) (No. 20120006492). This workwas partly supported by the IT R&D program of MKE/KEIT [10038768, The Development of Supercomputing System for theGenome Analysis] and the Industrial Strategic technology development program (10041971, Development of Power EfficientHigh-Performance Multimedia Contents Service Technology using Context-Adapting Distributed Transcoding) funded bythe Ministry of Knowledge Economy (MKE, Korea) and Basic Science Research Program through the National ResearchFoundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2009-0090441 & 2012-014892)and Inha University Research Grant.en_US
dc.language.isoenen_US
dc.publisherElsevier Science B.V., Amsterdam.en_US
dc.subjectConsensus stringsen_US
dc.subjectCircular stringsen_US
dc.subjectMultiple alignmentsen_US
dc.subjectEFFICIENT ALGORITHMSen_US
dc.subjectSUBSTRING PROBLEMSen_US
dc.subjectCLOSESTen_US
dc.subjectPEPTIDESen_US
dc.titleFinding consensus and optimal alignment of circular stringsen_US
dc.typeArticleen_US
dc.relation.no14-
dc.relation.volume468-
dc.identifier.doi10.1016/j.tcs.2012.11.018-
dc.relation.page92-101-
dc.relation.journalTHEORETICAL COMPUTER SCIENCE-
dc.contributor.googleauthorLee, T.-
dc.contributor.googleauthorNa, J. C.-
dc.contributor.googleauthorPark, H.-
dc.contributor.googleauthorPark, K.-
dc.contributor.googleauthorSim, J. S.-
dc.relation.code2012209449-
dc.sector.campusS-
dc.sector.daehakCOLLEGE OF ENGINEERING[S]-
dc.sector.departmentDEPARTMENT OF COMPUTER SCIENCE-
dc.identifier.pidhjpark-
Appears in Collections:
COLLEGE OF ENGINEERING[S](공과대학) > COMPUTER SCIENCE(컴퓨터소프트웨어학부) > Articles
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