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dc.contributor.authorKIM, SANGUK-
dc.contributor.authorKim, Donghyo-
dc.date.accessioned2019-03-07T09:06:23Z-
dc.date.available2019-03-07T09:06:23Z-
dc.date.created2019-03-05-
dc.date.issued2018-07-08-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/95118-
dc.languageEnglish-
dc.publisherSociety for Intelligent Systems for Molecular Biology-
dc.relation.isPartOfISMB 2018; 26th Conference on Intelligent Systems for Molecular Biology-
dc.relation.isPartOf26th Conference on Intelligent Systems for Molecular Biology-
dc.titlePredicting mutational impact of disease-associated variants based on the network of evolutionary coupled residues-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationISMB 2018; 26th Conference on Intelligent Systems for Molecular Biology-
dc.citation.conferenceDate2018-07-06-
dc.citation.conferencePlaceUS-
dc.citation.conferencePlaceChicago, United States-
dc.citation.titleISMB 2018; 26th Conference on Intelligent Systems for Molecular Biology-
dc.contributor.affiliatedAuthorKIM, SANGUK-
dc.description.journalClass1-
dc.description.journalClass1-

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김상욱KIM, SANGUK
Dept of Life Sciences
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