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

Research output: Contribution to journalArticlepeer-review

Abstract

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.

Original languageEnglish
Article numbere1011403
JournalPLoS Computational Biology
Volume19
Issue number8 August
DOIs
Publication statusPublished - 2023 Aug

Subject classification (UKÄ)

  • Bioinformatics and Systems Biology

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