Dissemin is shutting down on January 1st, 2025

Published in

Oxford University Press, Nucleic Acids Research, W1(43), p. W585-W588, 2015

DOI: 10.1093/nar/gkv316

Links

Tools

Export citation

Search in Google Scholar

The EBI Search engine: providing search and retrieval functionality for biological data from EMBL-EBI

Journal article published in 2015 by Silvano Squizzato ORCID, Young Mi Park ORCID, Nicola Buso ORCID, Tamer Gur ORCID, Andrew Cowley, Weizhong Li, Mahmut Uludag, Sangya Pundir, Jennifer A. Cham, Hamish McWilliam, Rodrigo Lopez
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Upload
Green circle
Postprint: archiving allowed
Upload
Green circle
Published version: archiving allowed
Upload
Policy details
Data provided by SHERPA/RoMEO

Abstract

The European Bioinformatics Institute (EMBL-EBI—https://www.ebi.ac.uk) provides free and unrestricted access to data across all major areas of biology and biomedicine. Searching and extracting knowledge across these domains requires a fast and scalable solution that addresses the requirements of domain experts as well as casual users. We present the EBI Search engine, referred to here as ‘EBI Search’, an easy-to-use fast text search and indexing system with powerful data navigation and retrieval capabilities. API integration provides access to analytical tools, allowing users to further investigate the results of their search. The interconnectivity that exists between data resources at EMBL-EBI provides easy, quick and precise navigation and a better understanding of the relationship between different data types including sequences, genes, gene products, proteins, protein domains, protein families, enzymes and macromolecular structures, together with relevant life science literature.