Статья

The EMBL-EBI Job Dispatcher sequence analysis tools framework in 2024

Fábio MadeiraEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKNandana MadhusoodananEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKJoon LeeEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKAlberto EusebiEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKAnia NiewielskaEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKAdrian R. TiveyEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKRodrigo LópezEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UKSarah ButcherEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus , Hinxton , Cambridge CB10 1SD , UK

2024en

ABI

Аннотация

The EMBL-EBI Job Dispatcher sequence analysis tools framework (https://www.ebi.ac.uk/jdispatcher) enables the scientific community to perform a diverse range of sequence analyses using popular bioinformatics applications. Free access to the tools and required sequence datasets is provided through user-friendly web applications, as well as via RESTful and SOAP-based APIs. These are integrated into popular EMBL-EBI resources such as UniProt, InterPro, ENA and Ensembl Genomes. This paper overviews recent improvements to Job Dispatcher, including its brand new website and documentation, enhanced visualisations, improved job management, and a rising trend of user reliance on the service from low- and middle-income regions.

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Идентификаторы

DOI: 10.1093/nar/gkae241

Цитирования и источники

Цитирований: 2Использованных источников: 0

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