TIN-X: target importance and novelty explorer.
other · Level V
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- Record sourced from PubMed, PMID 28398460.
- Also identified by DOI 10.1093/bioinformatics/btx200 and PMC identifier 5870731.
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Abstract
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. 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. http://www.newdrugtargets.org. cbologa@salud.unm.edu.
Medical subject headings
- Data Mining
- Disease
- Software