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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; Burdet, Frédéric; Siggaard, Troels; Westergaard, David; Vagiaki, Danai; Cantwell, Lisa; Röder, Timo; Vistisen, Dorte; Sparsø, Thomas; Giordano, Giuseppe N; Ibberson, Mark; Banasik, Karina; Brunak, Søren.
Afiliação
  • Lundgaard AT; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
  • Burdet F; Vital-IT, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
  • Siggaard T; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
  • Westergaard D; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
  • Vagiaki D; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
  • Cantwell L; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
  • Röder T; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
  • Vistisen D; Clinical Epidemiological Research, Steno Diabetes Center Copenhagen, Herlev, Denmark.
  • Sparsø T; Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
  • Giordano GN; Bioinformatics and Data Mining, Global Research Technologies, Novo Nordisk A/S, Måløv, Denmark.
  • Ibberson M; Genetic and Molecular Epidemiology Unit, Lund University Diabetes Centre, Department of Clinical Sciences, Clinical Research Centre, Lund University, Skåne University Hospital, Malmö, Sweden.
  • Banasik K; Vital-IT, Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
  • Brunak S; Novo Nordisk Foundation Center for Protein Research, University of Copenhagen, Blegdamsvej 3B, Copenhagen, Denmark.
PLoS Comput Biol ; 19(8): e1011403, 2023 08.
Article em En | MEDLINE | ID: mdl-37590326
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Dinamarca
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diabetes Mellitus Tipo 2 Limite: Animals / Humans Idioma: En Revista: PLoS Comput Biol Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Dinamarca