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

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 co...

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Autores principales: Lee, Bernett T.K., Liew, Lailing, Lim, Jiahao, Tan, Jonathan K.L., Lee, Tze Chuen, Veladandi, Pardha S., Lim, Yun Ping, Han, Hao, Rajagopal, Gunaretnam, Anderson, N. Leigh
Formato: Texto
Lenguaje:English
Publicado: Libertas Academica 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688371/
https://www.ncbi.nlm.nih.gov/pubmed/19578495
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author Lee, Bernett T.K.
Liew, Lailing
Lim, Jiahao
Tan, Jonathan K.L.
Lee, Tze Chuen
Veladandi, Pardha S.
Lim, Yun Ping
Han, Hao
Rajagopal, Gunaretnam
Anderson, N. Leigh
author_facet Lee, Bernett T.K.
Liew, Lailing
Lim, Jiahao
Tan, Jonathan K.L.
Lee, Tze Chuen
Veladandi, Pardha S.
Lim, Yun Ping
Han, Hao
Rajagopal, Gunaretnam
Anderson, N. Leigh
author_sort Lee, Bernett T.K.
collection PubMed
description 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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spelling pubmed-26883712009-07-01 Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research Lee, Bernett T.K. Liew, Lailing Lim, Jiahao Tan, Jonathan K.L. Lee, Tze Chuen Veladandi, Pardha S. Lim, Yun Ping Han, Hao Rajagopal, Gunaretnam Anderson, N. Leigh Biomark Insights Original Research 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. Libertas Academica 2008-02-09 /pmc/articles/PMC2688371/ /pubmed/19578495 Text en © 2008 by the authors http://creativecommons.org/licenses/by/3.0 This article is published under the Creative Commons Attribution By licence. For further information go to: http://creativecommons.org/licenses/by/3.0. (http://creativecommons.org/licenses/by/3.0)
spellingShingle Original Research
Lee, Bernett T.K.
Liew, Lailing
Lim, Jiahao
Tan, Jonathan K.L.
Lee, Tze Chuen
Veladandi, Pardha S.
Lim, Yun Ping
Han, Hao
Rajagopal, Gunaretnam
Anderson, N. Leigh
Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research
title Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research
title_full Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research
title_fullStr Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research
title_full_unstemmed Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research
title_short Candidate List of yoUr Biomarker (CLUB): A Web-based Platform to Aid Cancer Biomarker Research
title_sort candidate list of your biomarker (club): a web-based platform to aid cancer biomarker research
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2688371/
https://www.ncbi.nlm.nih.gov/pubmed/19578495
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