TIN-X: target importance and novelty explorer

Daniel C. Cannon, Jeremy J. Yang, Stephen L. Mathias, Oleg Ursu, Subramani Mani, Anna Waller, Stephan C Schuerer, Lars Juhl Jensen, Larry A. Sklar, Cristian G. Bologa, Tudor I. Oprea

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)2601-2603
Number of pages3
JournalBioinformatics (Oxford, England)
Volume33
Issue number16
DOIs
StatePublished - Aug 15 2017

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ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

Cite this

Cannon, D. C., Yang, J. J., Mathias, S. L., Ursu, O., Mani, S., Waller, A., Schuerer, S. C., Jensen, L. J., Sklar, L. A., Bologa, C. G., & Oprea, T. I. (2017). TIN-X: target importance and novelty explorer. Bioinformatics (Oxford, England), 33(16), 2601-2603. https://doi.org/10.1093/bioinformatics/btx200