EBI Search: providing discovery tools for biological metadata in 2025
The data resources provided by the European Bioinformatics Institute (EMBL-EBI) cover major areas of biological and biomedical research, giving free and open access to users ranging from expert to casual level. The EBI Search engine provides a unified metadata search engine across these resources. It provides a full-text search engine across over 6.5 billion data items, accessed through a user-friendly website and an OpenAPI-compliant programmatic interface. Here, we discuss recent developments and improvements in the service.
Authors
- Henning Hermjakob (ORCID: https://orcid.org/0000-0001-8479-0262)
- M. B. Y. D. J. Pearce (ORCID: https://orcid.org/0000-0001-7037-2422)
- Renato Caminha Juaçaba Neto (ORCID: https://orcid.org/0000-0002-0626-984X)
- Prasad Basutkar (ORCID: https://orcid.org/0000-0001-8616-2585)
- Vijay Venkatesh Subramoniam (ORCID: https://orcid.org/0009-0000-1394-2513)
- Kelsey Neis (ORCID: https://orcid.org/0000-0002-6113-776X)
- Iva Tutis
Institutions
- European Bioinformatics Institute (GB)
- Wellcome Trust (GB)
Publication Details
- Journal
- Nucleic Acids Research
- Published
- 2025-05-05
- DOI
- https://doi.org/10.1093/nar/gkaf359
- Citations
- 5
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 4.03
Funders
- European Bioinformatics Institute
- EOSC-Life
- European Commission
- National Institutes of Health
- Horizon 2020 Framework Programme
- National Institute of Allergy and Infectious Diseases