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. 2017 Aug 15;33(16):2601-2603.
doi: 10.1093/bioinformatics/btx200.

TIN-X: target importance and novelty explorer

Daniel C Cannon  1 , Jeremy J Yang  1 , Stephen L Mathias  1 , Oleg Ursu  1 , Subramani Mani  1 , Anna Waller  2 , Stephan C Schürer  3 , Lars Juhl Jensen  4 , Larry A Sklar  2   5 , Cristian G Bologa  1 , Tudor I Oprea  1
Affiliations

TIN-X: target importance and novelty explorer

Daniel C Cannon et al. Bioinformatics. .

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.

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Figures

Fig. 1
Fig. 1
Screenshot of TIN-X. The disease, glucose intolerance, was queried. Mouse-over displays information about a specific data point, in this case, CMKLR1 (Color version of this figure is available at Bioinformatics online.)
Fig. 2
Fig. 2
Screenshot of TIN-X. Click on selected point shows the papers where the target protein (CMKLR1) might be relevant to the disease (glucose intolerance)
See this image and copyright information in PMC

References

    1. Hunter L., Cohen K.B. (2006) Biomedical language processing: what’s beyond PubMed?. Mol. Cell, 21, 589–594. - PMC - PubMed
    1. Kibbe W.A. et al. (2015) Disease ontology 2015 update: an expanded and updated database of human diseases for linking biomedical knowledge through disease data. Nucleic Acids Res., 43, D1071–D1078. - PMC - PubMed
    1. Nguyen D.-T. et al. (2017) Pharos: collating protein information to shed light on the druggable genome. Nucleic Acids Res., 45, D995–D1002. - PMC - PubMed
    1. Pafilis E. et al. (2013) The SPECIES and ORGANISMS resources for fast and accurate identification of taxonomic names in text. PLOS One, 8, e65390.. - PMC - PubMed
    1. Pletscher-Frankild S. et al. (2015) DISEASES: Text mining and data integration of disease–gene associations. Methods, 74, 83–89. - PubMed

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