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DNA Microarrays

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

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Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

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Published on: October 11, 2018

MarkerDB 2.0: a comprehensive molecular biomarker database for 2025.

Hayley Jackson¹, Eponine Oler¹, Claudia Torres-Calzada¹

¹Department of Biological Sciences, University of Alberta, Edmonton, ABT6G 2E9, Canada.

Nucleic Acids Research

|November 13, 2024

Summary

MarkerDB 2.0 enhances its molecular biomarker resource with thousands of new entries and improved search functions. This update boosts usability and expands biomarker interpretation for research and clinical applications.

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Area of Science:

Biomedical Informatics
Molecular Biology
Bioinformatics

Background:

MarkerDB is a key resource for molecular biomarker information.
Biomarker research is dynamic, requiring continuous database updates.
User community demands have driven database evolution.

Purpose of the Study:

To introduce MarkerDB 2.0, an updated version of the molecular biomarker database.
To enhance usability, consistency, and the scope of covered biomarkers.
To improve biomarker interpretation across research domains.

Main Methods:

Addition of thousands of new biomarkers and associated health conditions.
Inclusion of new biomarker types and categories.
Upgraded search and data filtering functionalities, including biomarker panel exploration features.

Main Results:

Significant expansion in the number and types of molecular biomarkers covered.
Enhanced search and filtering capabilities improve data accessibility.
Improved descriptions and website performance increase usability.

Conclusions:

MarkerDB 2.0 offers a more comprehensive and user-friendly platform for molecular biomarker information.
The database facilitates biomarker interpretation for diverse research and clinical applications.
MarkerDB remains a vital, free, and publicly accessible resource for the scientific community.