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

Silvano Squizzato, Young Mi Park, Nicola Buso, Tamer Gur, Andrew Cowley, Weizhong Li, Mahmut Uludag, Sangya Pundir, Jennifer A. Cham, Hamish McWilliam, Rodrigo Lopez*

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    31 Scopus citations

    Abstract

    The European Bioinformatics Institute (EMBLEBI-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 andmacromolecular structures, together with relevant life science literature.

    Original languageEnglish (US)
    Pages (from-to)W585-W588
    JournalNUCLEIC ACIDS RESEARCH
    Volume43
    Issue numberW1
    DOIs
    StatePublished - 2015

    ASJC Scopus subject areas

    • Genetics

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