TIN-X: target importance and novelty explorer

MOTIVATION: The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins. RESULTS: We developed TIN-X, the Target Importance and Novelty eXplorer, to visualize the association betwe...

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Detalles Bibliográficos
Autores principales: Cannon, Daniel C, Yang, Jeremy J, Mathias, Stephen L, Ursu, Oleg, Mani, Subramani, Waller, Anna, Schürer, Stephan C, Jensen, Lars Juhl, Sklar, Larry A, Bologa, Cristian G, Oprea, Tudor I
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5870731/
https://www.ncbi.nlm.nih.gov/pubmed/28398460
http://dx.doi.org/10.1093/bioinformatics/btx200
Descripción
Sumario:MOTIVATION: The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins. RESULTS: We developed TIN-X, the Target Importance and Novelty eXplorer, to visualize the association between proteins and diseases, based on text mining data processed from scientific literature. In the current implementation, TIN-X supports exploration of data for G-protein coupled receptors, kinases, ion channels, and nuclear receptors. TIN-X supports browsing and navigating across proteins and diseases based on ontology classes, and displays a scatter plot with two proposed new bibliometric statistics: Importance and Novelty. AVAILABILITY AND IMPLEMENTATION: http://www.newdrugtargets.org

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