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

TIN-X: target importance and novelty explorer.

Author information

1
Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM 87131, USA.
2
UNM Center for Molecular Discovery, University of New Mexico Comprehensive Cancer Center, University of New Mexico, Albuquerque, NM 87131, USA.
3
Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA.
4
Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N 2200, Denmark.
5
Department of Pathology, University of New Mexico, NM 87131, USA.

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.

PMID:
28398460
PMCID:
PMC5870731
DOI:
10.1093/bioinformatics/btx200
[Indexed for MEDLINE]
Free PMC Article

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