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MarkerDB: an online database of molecular biomarkers

MarkerDB is a freely available electronic database that attempts to consolidate information on all known clinical and a selected set of pre-clinical molecular biomarkers into a single resource. The database includes four major types of molecular biomarkers (chemical, protein, DNA [genetic] and karyo...

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Autores principales: Wishart, David S, Bartok, Brendan, Oler, Eponine, Liang, Kevin Y H, Budinski, Zachary, Berjanskii, Mark, Guo, AnChi, Cao, Xuan, Wilson, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778954/
https://www.ncbi.nlm.nih.gov/pubmed/33245771
http://dx.doi.org/10.1093/nar/gkaa1067
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author Wishart, David S
Bartok, Brendan
Oler, Eponine
Liang, Kevin Y H
Budinski, Zachary
Berjanskii, Mark
Guo, AnChi
Cao, Xuan
Wilson, Michael
author_facet Wishart, David S
Bartok, Brendan
Oler, Eponine
Liang, Kevin Y H
Budinski, Zachary
Berjanskii, Mark
Guo, AnChi
Cao, Xuan
Wilson, Michael
author_sort Wishart, David S
collection PubMed
description MarkerDB is a freely available electronic database that attempts to consolidate information on all known clinical and a selected set of pre-clinical molecular biomarkers into a single resource. The database includes four major types of molecular biomarkers (chemical, protein, DNA [genetic] and karyotypic) and four biomarker categories (diagnostic, predictive, prognostic and exposure). MarkerDB provides information such as: biomarker names and synonyms, associated conditions or pathologies, detailed disease descriptions, detailed biomarker descriptions, biomarker specificity, sensitivity and ROC curves, standard reference values (for protein and chemical markers), variants (for SNP or genetic markers), sequence information (for genetic and protein markers), molecular structures (for protein and chemical markers), tissue or biofluid sources (for protein and chemical markers), chromosomal location and structure (for genetic and karyotype markers), clinical approval status and relevant literature references. Users can browse the data by conditions, condition categories, biomarker types, biomarker categories or search by sequence similarity through the advanced search function. Currently, the database contains 142 protein biomarkers, 1089 chemical biomarkers, 154 karyotype biomarkers and 26 374 genetic markers. These are categorized into 25 560 diagnostic biomarkers, 102 prognostic biomarkers, 265 exposure biomarkers and 6746 predictive biomarkers or biomarker panels. Collectively, these markers can be used to detect, monitor or predict 670 specific human conditions which are grouped into 27 broad condition categories. MarkerDB is available at https://markerdb.ca.
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spelling pubmed-77789542021-01-06 MarkerDB: an online database of molecular biomarkers Wishart, David S Bartok, Brendan Oler, Eponine Liang, Kevin Y H Budinski, Zachary Berjanskii, Mark Guo, AnChi Cao, Xuan Wilson, Michael Nucleic Acids Res Database Issue MarkerDB is a freely available electronic database that attempts to consolidate information on all known clinical and a selected set of pre-clinical molecular biomarkers into a single resource. The database includes four major types of molecular biomarkers (chemical, protein, DNA [genetic] and karyotypic) and four biomarker categories (diagnostic, predictive, prognostic and exposure). MarkerDB provides information such as: biomarker names and synonyms, associated conditions or pathologies, detailed disease descriptions, detailed biomarker descriptions, biomarker specificity, sensitivity and ROC curves, standard reference values (for protein and chemical markers), variants (for SNP or genetic markers), sequence information (for genetic and protein markers), molecular structures (for protein and chemical markers), tissue or biofluid sources (for protein and chemical markers), chromosomal location and structure (for genetic and karyotype markers), clinical approval status and relevant literature references. Users can browse the data by conditions, condition categories, biomarker types, biomarker categories or search by sequence similarity through the advanced search function. Currently, the database contains 142 protein biomarkers, 1089 chemical biomarkers, 154 karyotype biomarkers and 26 374 genetic markers. These are categorized into 25 560 diagnostic biomarkers, 102 prognostic biomarkers, 265 exposure biomarkers and 6746 predictive biomarkers or biomarker panels. Collectively, these markers can be used to detect, monitor or predict 670 specific human conditions which are grouped into 27 broad condition categories. MarkerDB is available at https://markerdb.ca. Oxford University Press 2020-11-27 /pmc/articles/PMC7778954/ /pubmed/33245771 http://dx.doi.org/10.1093/nar/gkaa1067 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Database Issue
Wishart, David S
Bartok, Brendan
Oler, Eponine
Liang, Kevin Y H
Budinski, Zachary
Berjanskii, Mark
Guo, AnChi
Cao, Xuan
Wilson, Michael
MarkerDB: an online database of molecular biomarkers
title MarkerDB: an online database of molecular biomarkers
title_full MarkerDB: an online database of molecular biomarkers
title_fullStr MarkerDB: an online database of molecular biomarkers
title_full_unstemmed MarkerDB: an online database of molecular biomarkers
title_short MarkerDB: an online database of molecular biomarkers
title_sort markerdb: an online database of molecular biomarkers
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778954/
https://www.ncbi.nlm.nih.gov/pubmed/33245771
http://dx.doi.org/10.1093/nar/gkaa1067
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