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Exploring the potential of public proteomics data.
Vaudel, Marc; Verheggen, Kenneth; Csordas, Attila; Raeder, Helge; Berven, Frode S; Martens, Lennart; Vizcaíno, Juan A; Barsnes, Harald.
Afiliación
  • Vaudel M; Proteomics Unit, Department of Biomedicine, University of Bergen, Bergen, Norway.
  • Verheggen K; Medical Biotechnology Center, VIB, Ghent, Belgium.
  • Csordas A; Department of Biochemistry, Ghent University, Ghent, Belgium.
  • Raeder H; Bioinformatics Institute Ghent, Ghent University, Ghent, Belgium.
  • Berven FS; European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton, Cambridge, UK.
  • Martens L; Department of Clinical Science, KG Jebsen Center for Diabetes Research, University of Bergen, Bergen, Norway.
  • Vizcaíno JA; Proteomics Unit, Department of Biomedicine, University of Bergen, Bergen, Norway.
  • Barsnes H; Department of Clinical Medicine, KG Jebsen Centre for Multiple Sclerosis Research, University of Bergen, Bergen, Norway.
Proteomics ; 16(2): 214-25, 2016 Jan.
Article en En | MEDLINE | ID: mdl-26449181
ABSTRACT
In a global effort for scientific transparency, it has become feasible and good practice to share experimental data supporting novel findings. Consequently, the amount of publicly available MS-based proteomics data has grown substantially in recent years. With some notable exceptions, this extensive material has however largely been left untouched. The time has now come for the proteomics community to utilize this potential gold mine for new discoveries, and uncover its untapped potential. In this review, we provide a brief history of the sharing of proteomics data, showing ways in which publicly available proteomics data are already being (re-)used, and outline potential future opportunities based on four different usage types use, reuse, reprocess, and repurpose. We thus aim to assist the proteomics community in stepping up to the challenge, and to make the most of the rapidly increasing amount of public proteomics data.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteómica Límite: Animals / Humans Idioma: En Revista: Proteomics Asunto de la revista: BIOQUIMICA Año: 2016 Tipo del documento: Article País de afiliación: Noruega

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteómica Límite: Animals / Humans Idioma: En Revista: Proteomics Asunto de la revista: BIOQUIMICA Año: 2016 Tipo del documento: Article País de afiliación: Noruega