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A FAIR/FHIR aligned, reproducible multi omics and epidemiology framework for privacy preserving clinical research

2025-11-17

Abstract excerpt

<p>High dimensional omics, longitudinal clinical data, and surveillance streams are now routine in translational research, yet reproducibility and governance often lag behind. We present a framework developed at Institut Pasteur that makes analysis auditable, portable, and privacy preserving. It couples containerised Nextflow/Snakemake pipelines for bulk and single cell RNA sequencing, proteomics and metabolomics...

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Identifiers and source

Literature Corpus work
37fc37a6-b317-5d75-b55b-8419e5839d26
DOI
10.31222/osf.io/qkvmn_v1
Open publication

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A FAIR/FHIR aligned, reproducible multi omics and epidemiology framework for privacy preserving clinical researchDOI 10.31222/osf.io/qkvmn_v1
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