Cited 22 times in
BiomarkerDigger: a versatile disease proteome database and analysis platform for the identification of plasma cancer biomarkers
DC Field | Value | Language |
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dc.contributor.author | 김호근 | - |
dc.contributor.author | 정슬기 | - |
dc.date.accessioned | 2015-04-24T16:53:27Z | - |
dc.date.available | 2015-04-24T16:53:27Z | - |
dc.date.issued | 2009 | - |
dc.identifier.issn | 1615-9853 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/104367 | - |
dc.description.abstract | We have developed a proteome database (DB), BiomarkerDigger (http://biomarkerdigger.org) that automates data analysis, searching, and metadata-gathering function. the metadata-gathering function searches proteome DBs for protein-protein interaction, Gene Ontology, protein domain, Online Mendelian Inheritance in Man, and tissue expression profile information and integrates it into protein data sets that are accessed through a search function in BiomarkerDigger. This DB also facilitates cross-proteome comparisons by classifying proteins based on their annotation. BiomarkerDigger highlights relationships between a given protein in a proteomic data set and any known biomarkers or biomarker candidates. the newly developed BiomarkerDigger system is useful for multi-level synthesis, comparison, and analyses of data sets obtained from currently available web sources. We demonstrate the application of this resource to the identification of a serological biomarker for hepatocellular carcinoma by comparison of plasma and tissue proteomic data sets from healthy volunteers and cancer patients. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 3729~3740 | - |
dc.relation.isPartOf | PROTEOMICS | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Biomarkers, Tumor/analysis* | - |
dc.subject.MESH | Computational Biology/methods | - |
dc.subject.MESH | Databases, Protein* | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Models, Theoretical | - |
dc.subject.MESH | Neoplasms, Plasma Cell/metabolism* | - |
dc.subject.MESH | Proteomics/methods* | - |
dc.subject.MESH | Software* | - |
dc.subject.MESH | User-Computer Interface | - |
dc.title | BiomarkerDigger: a versatile disease proteome database and analysis platform for the identification of plasma cancer biomarkers | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Pathology (병리학) | - |
dc.contributor.googleauthor | Seul-Ki Jeong | - |
dc.contributor.googleauthor | Min-Seok Kwon | - |
dc.contributor.googleauthor | Eun-Young Lee | - |
dc.contributor.googleauthor | Hyoung-Joo Lee | - |
dc.contributor.googleauthor | Sang Yun Cho | - |
dc.contributor.googleauthor | Hoguen Kim | - |
dc.contributor.googleauthor | Jong Shin Yoo | - |
dc.contributor.googleauthor | Gilbert S. Omenn | - |
dc.contributor.googleauthor | Ruedi Aebersold | - |
dc.contributor.googleauthor | Sam Hanash | - |
dc.contributor.googleauthor | Young-Ki Paik | - |
dc.identifier.doi | 10.1002/pmic.200800593 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A01183 | - |
dc.contributor.localId | A03642 | - |
dc.relation.journalcode | J02566 | - |
dc.identifier.eissn | 1615-9861 | - |
dc.identifier.pmid | 19639590 | - |
dc.identifier.url | http://dx.doi.org/10.1002/pmic.200800593 | - |
dc.subject.keyword | BiomarkerDigger | - |
dc.subject.keyword | Database | - |
dc.subject.keyword | HUPO | - |
dc.subject.keyword | Plasma proteome | - |
dc.contributor.alternativeName | Kim, Ho Keun | - |
dc.contributor.alternativeName | Jeong, Seul Ki | - |
dc.contributor.affiliatedAuthor | Kim, Ho Keun | - |
dc.contributor.affiliatedAuthor | Jeong, Seul Ki | - |
dc.citation.volume | 9 | - |
dc.citation.number | 14 | - |
dc.citation.startPage | 3729 | - |
dc.citation.endPage | 3740 | - |
dc.identifier.bibliographicCitation | PROTEOMICS, Vol.9(14) : 3729-3740, 2009 | - |
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