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

Lundgaard, Agnete T. (author)
University of Copenhagen
Burdet, Frédéric (author)
Swiss Institute for Bioinformatics (SIB)
Siggaard, Troels (author)
University of Copenhagen
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Westergaard, David (author)
University of Copenhagen
Vagiaki, Danai (author)
Novo Nordisk Foundation Center for Protein Research
Cantwell, Lisa (author)
Röder, Timo (author)
Vistisen, Dorte (author)
Steno Diabetes Center Copenhagen,University of Copenhagen
Sparsø, Thomas (author)
Novo Nordisk A/S
Giordano, Giuseppe N. (author)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Skåne University Hospital
Ibberson, Mark (author)
Swiss Institute for Bioinformatics (SIB)
Banasik, Karina (author)
University of Copenhagen
Brunak, Søren (author)
University of Copenhagen
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 (creator_code:org_t)
2023
2023
English.
In: PLoS Computational Biology. - 1553-734X. ; 19:8 August
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • 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.

Subject headings

NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

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