MarkerDB 2.0：面向 2025 年的综合分子生物标记数据库

IF 16.6 2区生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY

Nucleic Acids Research Pub Date : 2024-11-13 DOI:10.1093/nar/gkae1056

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

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引用次数: 0

摘要

MarkerDB (https://markerdb.ca) 已成为分子生物标志物综合信息的领先资源。在过去的三年里，该数据库发生了巨大的变化，反映了生物标记物研究的动态发展和用户社区日益增长的需求。今年的更新被称为 MarkerDB 2.0，它引入了一些重要改进，以提高数据库的可用性、一致性和所涵盖的生物标记物范围。这些改进包括：(i) 增加了数千种新的生物标记物和相关健康状况；(ii) 加入了许多新的生物标记物类型和类别；(iii) 升级了搜索和数据过滤功能；(iv) 增加了探索和了解生物标记物面板的新功能；(v) 极大地扩展和改进了描述。这些升级以及在内容、界面、布局和网站整体性能方面的众多细微改进，极大地增强了 MarkerDB 的可用性和能力，从而促进了各个研究领域的生物标记解释。MarkerDB 将一如既往地致力于提供一个免费、可公开访问的平台，以整合各种分子（蛋白质、基因、染色体和化学/小分子）生物标记物的信息，涵盖诊断、预后、风险、监测、安全性和反应相关的生物标记物。我们相信，这些升级和更新将改善 MarkerDB 的用户友好性，提高其实用性，并极大地扩展其在临床医学和生物医学研究的许多其他领域的潜在应用。

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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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来源期刊

Nucleic Acids Research 生物-生化与分子生物学

CiteScore

27.10

自引率

4.70%

发文量

1057

审稿时长

2 months

期刊介绍： Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.