Inventory of Omics and Sample types and associated data and metadata standards
Omics is a term used for large-scale instrumental analyzes of molecular data.
Sample data are important to record the origin of an omics dataset: omics experiments are always performed on a sample.
Expertise for this can be found under the theme Biobanks and Collections
Identity + location?
Sample origin: tissue, cell lines, single-cell vs bulk cells, tumor?
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This article contains an overview of omics and sample types and the associated (meta)data standards.
The following types of omics are distinguished:
Connectomics
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