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

TIN-X: Target Importance and Novelty Explorer

Free PMC article

TIN-X: Target Importance and Novelty Explorer

Daniel C Cannon et al. Bioinformatics. .
Free PMC article


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:



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)

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