FAIR-biomed 作者: FAIR-biomed
Open data resources in the biomedical domain
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Vasts amounts of biomedical data are stored in open databases and knowledge-bases. Data in these resources are intended to be findable, accessible, interoperable, and reusable (FAIR). However, integrating relevant parts within a specific project can be a challenge. FAIR-biomed works inside the browser to provide information from a range of source.
On any page in the browser, highlight some text. Press Ctr+Shift+Z or open a context menu (right-click) and select FAIR-biomed. A new box should appear prompting you to choose a data source to query.
Starting from a gene name, for example, you can fetch a general summary from NCBI Gene, related publications from PubMed or Europe PMC, mouse phenotypes from the International Mouse Phenotyping Consortium, or pathways from Reactome. Other types of queries include trait associations for SNPs from the GWAS catalog, ontology definitions through the Ontology Lookup Service, and many more.
Additional information about the extension is available at the github repository 'FAIR-biomed' and on the project website.
On any page in the browser, highlight some text. Press Ctr+Shift+Z or open a context menu (right-click) and select FAIR-biomed. A new box should appear prompting you to choose a data source to query.
Starting from a gene name, for example, you can fetch a general summary from NCBI Gene, related publications from PubMed or Europe PMC, mouse phenotypes from the International Mouse Phenotyping Consortium, or pathways from Reactome. Other types of queries include trait associations for SNPs from the GWAS catalog, ontology definitions through the Ontology Lookup Service, and many more.
Additional information about the extension is available at the github repository 'FAIR-biomed' and on the project website.
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