PLoS Computational Biology (Aug 2023)

BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus.

  • Agnete T Lundgaard,
  • Frédéric Burdet,
  • Troels Siggaard,
  • David Westergaard,
  • Danai Vagiaki,
  • Lisa Cantwell,
  • Timo Röder,
  • Dorte Vistisen,
  • Thomas Sparsø,
  • Giuseppe N Giordano,
  • Mark Ibberson,
  • Karina Banasik,
  • Søren Brunak

DOI
https://doi.org/10.1371/journal.pcbi.1011403
Journal volume & issue
Vol. 19, no. 8
p. e1011403

Abstract

Read online

Novel biomarkers are key to addressing the ongoing pandemic of type 2 diabetes mellitus. While new technologies have improved the potential of identifying such biomarkers, at the same time there is an increasing need for informed prioritization to ensure efficient downstream verification. We have built BALDR, an automated pipeline for biomarker comparison and prioritization in the context of diabetes. BALDR includes protein, gene, and disease data from major public repositories, text-mining data, and human and mouse experimental data from the IMI2 RHAPSODY consortium. These data are provided as easy-to-read figures and tables enabling direct comparison of up to 20 biomarker candidates for diabetes through the public website https://baldr.cpr.ku.dk.