Human biological samples are key resources in unravelling physiopathological factors underlying diseases and influencing their outcome. By making use of these resources, genomics, proteomics and molecular imaging techniques have achieved unprecedented progress in the past decade. The development of genomics platforms, molecular imaging as well as bioinformatics allowed a significant development of the biomarkers field thus realizing significant advances towards personalized medicine. The exponential increase of data, their complexity, the necessity of their integration for analysis require the development of appropriate infrastructures. These latter should integrate experts from different fields as well as an optimal organisation of biobanks including novel access and exchange rules for biological material and data.
Dagher, G., Lavitrano, M., Hofman, P. (2018). Next generation biobanking: The challenge of data. MS. MEDECINE SCIENCES, 34(10), 849-851 [10.1051/medsci/2018203].
Next generation biobanking: The challenge of data
Lavitrano, ML;
2018
Abstract
Human biological samples are key resources in unravelling physiopathological factors underlying diseases and influencing their outcome. By making use of these resources, genomics, proteomics and molecular imaging techniques have achieved unprecedented progress in the past decade. The development of genomics platforms, molecular imaging as well as bioinformatics allowed a significant development of the biomarkers field thus realizing significant advances towards personalized medicine. The exponential increase of data, their complexity, the necessity of their integration for analysis require the development of appropriate infrastructures. These latter should integrate experts from different fields as well as an optimal organisation of biobanks including novel access and exchange rules for biological material and data.File | Dimensione | Formato | |
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