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A data management infrastructure for the integration of imaging and omics data in life sciences.

Luis Kuhn CuellarAndreas FriedrichGisela GabernetLuis de la GarzaSven FillingerAdrian SeyboldtTobias KochSven Zur Oven-KrockhausFriederike WankeSandra RichterWolfgang M ThaissMarius HorgerNisar MalekKlaus HarterMichael BitzerSven Nahnsen
Published in: BMC bioinformatics (2022)
We describe a data management architecture for integrated, FAIR-supporting management of omics and biomedical imaging data, and exemplify its applicability for basic biology research and clinical studies. We anticipate that FAIR data management systems for multi-modal data repositories will play a pivotal role in data-driven research, including studies which leverage advanced machine learning methods, as the joint analysis of omics and imaging data, in conjunction with phenotypic metadata, becomes not only desirable but necessary to derive novel insights into biological processes.
Keyphrases
  • electronic health record
  • big data
  • machine learning
  • high resolution
  • single cell
  • data analysis
  • artificial intelligence