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Human biobanks, which are the core of BBMRI-ERIC medical research infrastructure, are repositories of biological material and data associated with the research participants (donors or patients willing to participate in the research). The associated data covers a broad range of data types: from data collected directly from the research participants and medical processes related to them, to data generated from the biological material. This document focuses on describing biobank data processing workflows that were selected for piloting in EGI-Engage the biobanks by the BBMRI.nl and BBMRI.cz (national nodes of BBMRI-ERIC) together with their associated biobanks. The main focus is on proteomics and genomics workflows, which cover both extremes of privacy-sensitive data processing spectrum: from relatively non-sensitive applications to very sensitive ones.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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