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TIN-X: target importance and novelty explorer.
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.
Affiliation
  • Cannon DC; Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
  • Yang JJ; Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
  • Mathias SL; Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
  • Ursu O; Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
  • Mani S; Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
  • Waller A; UNM Center for Molecular Discovery, University of New Mexico Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87131, USA.
  • Schürer SC; Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
  • Jensen LJ; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N 2200, Denmark.
  • Sklar LA; UNM Center for Molecular Discovery, University of New Mexico Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87131, USA.
  • Bologa CG; Department of Pathology, University of New Mexico, NM 87131, USA.
  • Oprea TI; Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
Bioinformatics ; 33(16): 2601-2603, 2017 Aug 15.
Article in En | MEDLINE | ID: mdl-28398460
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. CONTACT: cbologa@salud.unm.edu.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Disease / Data Mining Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United kingdom
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Disease / Data Mining Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2017 Document type: Article Affiliation country: United States Country of publication: United kingdom