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 language | English (US) |
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Pages (from-to) | 2601-2603 |
Number of pages | 3 |
Journal | Bioinformatics (Oxford, England) |
Volume | 33 |
Issue number | 16 |
DOIs | |
State | Published - Aug 15 2017 |
ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics