BALDR: A Web-based platform for informed comparison and prioritization of biomarker candidates for type 2 diabetes mellitus.
Agnete Troen LundgaardFrédéric BurdetTroels SiggaardDavid WestergaardDanai VagiakiLisa CantwellTimo RöderDorte VistisenThomas SparsøGiuseppe N GiordanoMark IbbersonKarina BanasikSoren BrunakPublished in: PLoS computational biology (2023)
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.
Keyphrases
- electronic health record
- type diabetes
- big data
- healthcare
- cardiovascular disease
- glycemic control
- mental health
- cardiac arrest
- endothelial cells
- metabolic syndrome
- data analysis
- high throughput
- genome wide
- adipose tissue
- small molecule
- climate change
- weight loss
- binding protein
- protein protein
- induced pluripotent stem cells