BioSamples database: the global hub for sample metadata and multi-omics integration
The BioSamples database (https://www.ebi.ac.uk/biosamples/) at the European Bioinformatics Institute (EMBL-EBI) is a core infrastructure resource that provides a centralized platform for the storage, curation, and dissemination of biological sample metadata. BioSamples holds sample descriptions across diverse datasets, enhancing their reusability and integrability in accordance with the FAIR (findable, accessible, interoperable, and reusable) principles. BioSamples serves as the central place to store the sample metadata for multiple repositories and archives at EMBL-EBI, including the European Nucleotide Archive, ArrayExpress, and the European Phenome-Genome Archive. In this article, we outline technical updates made to support increased sample registration and provide a better user experience. We describe four use cases whereby different communities have leveraged BioSamples to connect multi-omics data and enable the creation of public data portals and data status trackers. BioSamples is freely available, and its content is distributed under the EMBL-EBI Terms of Use available at https://www.ebi.ac.uk/about/terms-of-use. The BioSamples code is available at https://github.com/EBIBioSamples/biosamples-v4 and https://doi.org/10.5281/zenodo.17304021 and is distributed under the Apache 2.0 license.
Authors
- Tony Burdett
- Senthilnathan Vijayaraja
- Dipayan Gupta (ORCID: https://orcid.org/0000-0001-8753-7369)
- Isuru Liyanage (ORCID: https://orcid.org/0000-0002-4839-5158)
- Yasset Pérez‐Riverol (ORCID: https://orcid.org/0000-0001-6579-6941)
- E Ventura
- Uğis Sarkans (ORCID: https://orcid.org/0000-0001-9227-8488)
- Tim Van Den Bossche (ORCID: https://orcid.org/0000-0002-5916-2587)
- Jeena Rajan (ORCID: https://orcid.org/0000-0002-3613-0013)
- Wei Kheng Teh
- Amnon Khen
Institutions
- HOGENT University of Applied Sciences and Arts (BE)
- European Bioinformatics Institute (GB)
- Ghent University Hospital (BE)
- Ghent University (BE)
- Bioinformatics Institute (RU)
- VIB-UGent Center for Medical Biotechnology (BE)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-11-13
- DOI
- https://doi.org/10.1093/nar/gkaf1133
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Wellcome Trust
- European Bioinformatics Institute
- Directorate for Biological Sciences