TY - JOUR

T1 - BALDR

T2 - A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus

AU - Lundgaard, Agnete T.

AU - Burdet, Frédéric

AU - Siggaard, Troels

AU - Westergaard, David

AU - Vagiaki, Danai

AU - Cantwell, Lisa

AU - Röder, Timo

AU - Vistisen, Dorte

AU - Sparsø, Thomas

AU - Giordano, Giuseppe N.

AU - Ibberson, Mark

AU - Banasik, Karina

AU - Brunak, Søren

N1 - Publisher Copyright: © 2023 Lundgaard et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

U2 - 10.1371/journal.pcbi.1011403

DO - 10.1371/journal.pcbi.1011403

M3 - Journal article

C2 - 37590326

AN - SCOPUS:85168773432

VL - 19

JO - P L o S Computational Biology (Online)

JF - P L o S Computational Biology (Online)

SN - 1553-734X

IS - 8

M1 - e1011403

ER -