BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus
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Published:2023-08-17
Issue:8
Volume:19
Page:e1011403
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ISSN:1553-7358
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Container-title:PLOS Computational Biology
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language:en
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Short-container-title:PLoS Comput Biol
Author:
Lundgaard Agnete T.ORCID,
Burdet Frédéric,
Siggaard Troels,
Westergaard David,
Vagiaki DanaiORCID,
Cantwell Lisa,
Röder Timo,
Vistisen DorteORCID,
Sparsø Thomas,
Giordano Giuseppe N.,
Ibberson Mark,
Banasik KarinaORCID,
Brunak SørenORCID
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.
Funder
Innovative Medicines Initiative
Horizon 2020
European Federation of Pharmaceutical Industries and Associations
Staatssekretariat für Bildung, Forschung und Innovation
Novo Nordisk Fonden
Bayer
Sanofi
Novo Nordisk
Boehringer Ingelheim
Publisher
Public Library of Science (PLoS)
Subject
Computational Theory and Mathematics,Cellular and Molecular Neuroscience,Genetics,Molecular Biology,Ecology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics
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