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Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research

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4268 Article Views

Publication Date: 09 Feb 2008

Journal: Biomarker Insights

Citation: Biomarker Insights 2008:3 65-71

BMI journal

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Bernett T.K. Lee1, Lailing Liew1, Jiahao Lim1, Jonathan K.L. Tan1, Tze Chuen Lee1, Pardha S. Veladandi1, Yun Ping Lim1, Hao Han1, Gunaretnam Rajagopal1 and N. Leigh Anderson2

1Bioinformatics Institute, 30 Biopolis Street, #07-01, Singapore 138671. 2The Plasma Proteome Insitute, P.O. Box: 53450, Washington DC, 20009-3450, U.S.A.

Abstract

CLUB (“Candidate List of yoUr Biomarkers”) is a freely available, web-based resource designed to support Cancer biomarker research. It is targeted to provide a comprehensive list of candidate biomarkers for various cancers that have been reported by the research community. CLUB provides tools for comparison of marker candidates from different experimental platforms, with the ability to filter, search, query and explore, molecular interaction networks associated with cancer biomarkers from the published literature and from data uploaded by the community. This complex and ambitious project is implemented in phases. As a first step, we have compiled from the literature an initial set of differentially expressed human candidate cancer biomarkers. Each candidate is annotated with information from publicly available databases such as Gene Ontology, Swiss-Prot database, National Center for Biotechnology Information’s reference sequences, Biomolecular Interaction Network Database and IntAct interaction. The user has the option to maintain private lists of biomarker candidates or share and export these for use by the community. Furthermore, users may customize and combine commonly used sets of selection procedures and apply them as a stored workflow using selected candidate lists. To enable an assessment by the user before taking a candidate biomarker to the experimental validation stage, the platform contains the functionality to identify pathways associated with cancer risk, staging, prognosis, outcome in cancer and other clinically associated phenotypes. The system is available at http://club.bii.a-star.edu.sg.


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