Full metadata record
DC Field | Value | Language |
dc.contributor.author | KIM, SANGUK | - |
dc.contributor.author | Kim, Donghyo | - |
dc.date.accessioned | 2019-03-07T09:06:23Z | - |
dc.date.available | 2019-03-07T09:06:23Z | - |
dc.date.created | 2019-03-05 | - |
dc.date.issued | 2018-07-08 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/95118 | - |
dc.language | English | - |
dc.publisher | Society for Intelligent Systems for Molecular Biology | - |
dc.relation.isPartOf | ISMB 2018; 26th Conference on Intelligent Systems for Molecular Biology | - |
dc.relation.isPartOf | 26th Conference on Intelligent Systems for Molecular Biology | - |
dc.title | Predicting mutational impact of disease-associated variants based on the network of evolutionary coupled residues | - |
dc.type | Conference | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | ISMB 2018; 26th Conference on Intelligent Systems for Molecular Biology | - |
dc.citation.conferenceDate | 2018-07-06 | - |
dc.citation.conferencePlace | US | - |
dc.citation.conferencePlace | Chicago, United States | - |
dc.citation.title | ISMB 2018; 26th Conference on Intelligent Systems for Molecular Biology | - |
dc.contributor.affiliatedAuthor | KIM, SANGUK | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
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