| Literature DB >> 19639590 |
Seul-Ki Jeong1, Min-Seok Kwon, Eun-Young Lee, Hyoung-Joo Lee, Sang Yun Cho, Hoguen Kim, Jong Shin Yoo, Gilbert S Omenn, Ruedi Aebersold, Sam Hanash, Young-Ki Paik.
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.Entities:
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Year: 2009 PMID: 19639590 DOI: 10.1002/pmic.200800593
Source DB: PubMed Journal: Proteomics ISSN: 1615-9853 Impact factor: 3.984