TIN-X:target importance and novelty explorer

Autor: Larry A. Sklar, Stephan C. Schürer, Tudor I. Oprea, Anna Waller, Jeremy J. Yang, Cristian Bologa, Stephen L. Mathias, Subramani Mani, Daniel C. Cannon, Lars Juhl Jensen, Oleg Ursu
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Cannon, D C, Yang, J J, Mathias, S L, Ursu, O, Mani, S, Waller, A, Schürer, S C, Jensen, L J, Sklar, L A, Bologa, C G & Oprea, T I 2017, ' TIN-X : target importance and novelty explorer ', Bioinformatics, vol. 33, no. 16, pp. 2601-2603 . https://doi.org/10.1093/bioinformatics/btx200
Bioinformatics
DOI: 10.1093/bioinformatics/btx200
Popis: 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
Databáze: OpenAIRE