Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

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

Lundgaard, Agnete T. ; Burdet, Frédéric ; Siggaard, Troels ; Westergaard, David ; Vagiaki, Danai ; Cantwell, Lisa ; Röder, Timo ; Vistisen, Dorte ; Sparsø, Thomas and Giordano, Giuseppe N. LU , et al. (2023) In PLoS Computational Biology 19(8 August).
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... (More)

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.

(Less)
Please use this url to cite or link to this publication:
author
; ; ; ; ; ; ; ; and , et al. (More)
; ; ; ; ; ; ; ; ; ; ; and (Less)
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS Computational Biology
volume
19
issue
8 August
article number
e1011403
publisher
Public Library of Science (PLoS)
external identifiers
  • pmid:37590326
  • scopus:85168773432
ISSN
1553-734X
DOI
10.1371/journal.pcbi.1011403
language
English
LU publication?
yes
id
c6cc388e-ec92-4b12-8c19-cf16e345b7f5
date added to LUP
2023-11-01 11:04:55
date last changed
2024-04-19 03:23:36
@article{c6cc388e-ec92-4b12-8c19-cf16e345b7f5,
  abstract     = {{<p>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.</p>}},
  author       = {{Lundgaard, Agnete T. and Burdet, Frédéric and Siggaard, Troels and Westergaard, David and Vagiaki, Danai and Cantwell, Lisa and Röder, Timo and Vistisen, Dorte and Sparsø, Thomas and Giordano, Giuseppe N. and Ibberson, Mark and Banasik, Karina and Brunak, Søren}},
  issn         = {{1553-734X}},
  language     = {{eng}},
  number       = {{8 August}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS Computational Biology}},
  title        = {{BALDR : A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus}},
  url          = {{http://dx.doi.org/10.1371/journal.pcbi.1011403}},
  doi          = {{10.1371/journal.pcbi.1011403}},
  volume       = {{19}},
  year         = {{2023}},
}