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dc.contributor.author채영규-
dc.date.accessioned2022-03-02T01:34:53Z-
dc.date.available2022-03-02T01:34:53Z-
dc.date.issued2008-01-
dc.identifier.citationBioSystems 2008 91(1):69-75en_US
dc.identifier.issn0303-2647-
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0303264707001220-
dc.identifier.urihttps://repository.hanyang.ac.kr/handle/20.500.11754/168718-
dc.description.abstractMany DNA-based technologies, such as DNA computing, DNA nanoassembly and DNA biochips, rely on DNA hybridization reactions. Previous hybridization models have focused on macroscopic reactions between two DNA strands at the sequence level. Here, we proposeen_US
dc.publisherELSEVIER SCI LTDen_US
dc.subjectDNA computingen_US
dc.subjectEvolutionary algorithmen_US
dc.subjectMonte Carlo methoden_US
dc.subjectDNA theorem provingen_US
dc.titleAn evolutionary Monte Carlo algorithm for predicting DNA hybridization.en_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.biosystems.2007.07.005-
dc.relation.journalBIOSYSTEMS-
dc.contributor.googleauthorKim, Joon Shik-
dc.contributor.googleauthorLee, Ji-Woo-
dc.contributor.googleauthorNoh, Yung-Kyun-
dc.contributor.googleauthorPark, Ji-Yoon-
dc.contributor.googleauthorLee, Dong-Yoon-
dc.contributor.googleauthorYang, Kyung-Ae-
dc.contributor.googleauthorChai, Young Gyu-
dc.contributor.googleauthorKim, Jong Chan-
dc.contributor.googleauthorZhang, Byoung-Tak-
dc.relation.code2008201347-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF SCIENCE AND CONVERGENCE TECHNOLOGY[E]-
dc.sector.departmentDEPARTMENT OF MOLECULAR AND LIFE SCIENCE-
dc.identifier.pidygchai-


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