MarkerDB 2.0: a comprehensive molecular biomarker database for 2025

MarkerDB (https://markerdb.ca) has become a leading resource for comprehensive information on molecular biomarkers. Over the past 3 years, the database has evolved significantly, reflecting the dynamic landscape of biomarker research and increasing demands from its user community. This year's update, which is called MarkerDB 2.0, introduces key improvements to enhance the database's usability, consistency and the range of biomarkers covered. These improvements include (i) the addition of thousands of new biomarkers and associated health conditions, (ii) the inclusion of many new biomarker types and categories, (iii) upgraded searches and data filtering functionalities, (iv) new features for exploring and understanding biomarker panels and (v) significantly expanded and improved descriptions. These upgrades, along with numerous minor improvements in content, interface, layout and overall website performance, have greatly enhanced MarkerDB's usability and capacity to facilitate biomarker interpretation across various research domains. MarkerDB remains committed to providing a free, publicly accessible platform for consolidated information on a wide range of molecular (protein, genetic, chromosomal and chemical/small molecule) biomarkers, covering diagnostic, prognostic, risk, monitoring, safety and response-related biomarkers. We are confident that these upgrades and updates will improve MarkerDB's user friendliness, increase its utility and greatly expand its potential applications to many other areas of clinical medicine and biomedical research.

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Publication Details

Journal
Nucleic Acids Research
Published
2024-11-13
DOI
https://doi.org/10.1093/nar/gkae1056
Citations
14
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
3.37

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article

MarkerDB 2.0: a comprehensive molecular biomarker database for 2025

David S. Wishart, Hayley Jackson, Eponine Oler, Jenna Poelzer et al.
14 citations
Nucleic Acids Research
Advanced Proteomics Techniques and Applications
3.37
article

MarkerDB 2.0: a comprehensive molecular biomarker database for 2025

David S. Wishart, Hayley Jackson, Eponine Oler, Jenna Poelzer, Yamilé López‐Hernández, Mark Berjanskii, Aadhavya Sivakumaran, Gina Sykes, Tanvir Sajed, Omolola Fatokun, Claudia Torres-Calzada, Scott MacKay, Gane Ka‐Shu Wong, Vasuk Gautam, Jiaxuan Wang, Kaiqi Yang, Ray Kruger, Scott Han, Robyn Woudstra, Amandeep Singh Hira, Devanshi Pandit
article en
14 citations

Abstract

MarkerDB (https://markerdb.ca) has become a leading resource for comprehensive information on molecular biomarkers. Over the past 3 years, the database has evolved significantly, reflecting the dynamic landscape of biomarker research and increasing demands from its user community. This year's update, which is called MarkerDB 2.0, introduces key improvements to enhance the database's usability, consistency and the range of biomarkers covered. These improvements include (i) the addition of thousands of new biomarkers and associated health conditions, (ii) the inclusion of many new biomarker types and categories, (iii) upgraded searches and data filtering functionalities, (iv) new features for exploring and understanding biomarker panels and (v) significantly expanded and improved descriptions. These upgrades, along with numerous minor improvements in content, interface, layout and overall website performance, have greatly enhanced MarkerDB's usability and capacity to facilitate biomarker interpretation across various research domains. MarkerDB remains committed to providing a free, publicly accessible platform for consolidated information on a wide range of molecular (protein, genetic, chromosomal and chemical/small molecule) biomarkers, covering diagnostic, prognostic, risk, monitoring, safety and response-related biomarkers. We are confident that these upgrades and updates will improve MarkerDB's user friendliness, increase its utility and greatly expand its potential applications to many other areas of clinical medicine and biomedical research.

Nucleic Acids ResearchVol. 53(D1)
University of Alberta (CA)
Genome Canada, Canada Foundation for Innovation, Genome Alberta, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 7%
Advanced Proteomics Techniques and Applications
3.37
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