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1.
Bioinformatics ; 33(21): 3461-3467, 2017 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-29077811

RESUMO

MOTIVATION: Reactome is a free, open-source, open-data, curated and peer-reviewed knowledge base of biomolecular pathways. Pathways are arranged in a hierarchical structure that largely corresponds to the GO biological process hierarchy, allowing the user to navigate from high level concepts like immune system to detailed pathway diagrams showing biomolecular events like membrane transport or phosphorylation. Here, we present new developments in the Reactome visualization system that facilitate navigation through the pathway hierarchy and enable efficient reuse of Reactome visualizations for users' own research presentations and publications. RESULTS: For the higher levels of the hierarchy, Reactome now provides scalable, interactive textbook-style diagrams in SVG format, which are also freely downloadable and editable. Repeated diagram elements like 'mitochondrion' or 'receptor' are available as a library of graphic elements. Detailed lower-level diagrams are now downloadable in editable PPTX format as sets of interconnected objects. AVAILABILITY AND IMPLEMENTATION: http://reactome.org. CONTACT: fabregat@ebi.ac.uk or hhe@ebi.ac.uk.


Assuntos
Fenômenos Biológicos , Bases de Conhecimento , Interface Usuário-Computador , Gráficos por Computador , Ontologia Genética , Internet , Bibliotecas , Transdução de Sinais
2.
Nucleic Acids Res ; 42(Database issue): D472-7, 2014 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-24243840

RESUMO

Reactome (http://www.reactome.org) is a manually curated open-source open-data resource of human pathways and reactions. The current version 46 describes 7088 human proteins (34% of the predicted human proteome), participating in 6744 reactions based on data extracted from 15 107 research publications with PubMed links. The Reactome Web site and analysis tool set have been completely redesigned to increase speed, flexibility and user friendliness. The data model has been extended to support annotation of disease processes due to infectious agents and to mutation.


Assuntos
Bases de Dados de Proteínas , Proteínas/metabolismo , Doença , Humanos , Internet , Bases de Conhecimento , Redes e Vias Metabólicas
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