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Bhak, Jong
KOrean GenomIcs Center(KOGIC)
Research Interests
  • Geromics, genomics, bioinformatics, protein Engineering, OMICS

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BioCovi: A Visualization Service for Comparative Genomics Analysis

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dc.contributor.author Bhak, Jong ko
dc.contributor.author Park, Dae-Ui ko
dc.contributor.author Lee, Jung-Sul ko
dc.date.available 2015-07-31T06:12:23Z -
dc.date.created 2015-07-31 ko
dc.date.issued 2005-06 -
dc.identifier.citation GENOMICS & INFORMATICS, v.3, no.2, pp.52 - 54 ko
dc.identifier.issn 1598-866X ko
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/13199 -
dc.identifier.uri http://www.kci.go.kr/kciportal/ci/sereArticleSearch/ciSereArtiView.kci?sereArticleSearchBean.artiId=ART001046125&locale=en&SID=U1lPVjGJwjRO5BJxSsx ko
dc.description.abstract Motivation: Many genomes have been completely sequenced. However, detecting and analyzing their protein-protein interactions by experimental methods such as co-immunoprecipitation, tandem affinity purification and Y2H is not as fast as genome sequencing. Therefore, a computational prediction method based on the known protein structural interactions will be useful to analyze large-scale protein-protein interaction rules within and among complete genomes. Results: We confirmed that all the predicted protein family interactomes (the full set of protein family interactions within a proteome) of 146 species are scale-free networks, and they share a small core network comprising 36 protein families related to indispensable cellular functions. We found two fundamental differences among prokaryotic and eukaryotic interactomes: (1) eukarya had significantly more hub families than archaea and bacteria and (2) certain special hub families determined the topology of the eukaryotic interactomes. Our comparative analysis suggests that a very small number of expansive protein families led to the evolution of interactomes and seemed tohave played a key role in species diversification. ko
dc.description.statementofresponsibility close -
dc.language ENG ko
dc.publisher 한국유전체학회 ko
dc.subject analytic method ko
dc.subject Archaebacterium ko
dc.subject article ko
dc.subject cell function ko
dc.subject eukaryote ko
dc.subject molecular evolution ko
dc.subject prediction ko
dc.subject priority journal ko
dc.subject prokaryote ko
dc.subject protein family ko
dc.subject protein localization ko
dc.subject protein protein interaction ko
dc.subject protein structure ko
dc.subject species comparison ko
dc.subject species diversity ko
dc.subject algorithm ko
dc.subject chromosome map ko
dc.subject comparative study ko
dc.subject computer program ko
dc.subject evaluation ko
dc.subject genetics ko
dc.subject metabolism ko
dc.subject methodology ko
dc.subject physiology ko
dc.subject protein analysis ko
dc.subject sequence alignment ko
dc.subject sequence analysis ko
dc.subject signal transduction ko
dc.subject structure activity relation ko
dc.title BioCovi: A Visualization Service for Comparative Genomics Analysis ko
dc.title.alternative BioCovi: A visualization service for comparative genomics analysis ko
dc.type ARTICLE ko
dc.type.rims ART ko
dc.description.wostc 0 *
dc.description.scopustc 22 *
dc.date.tcdate 2015-07-31 *
dc.date.scptcdate 2015-11-04 *
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