TIN-X: target importance and novelty explorer

Daniel C Cannon; Jeremy J Yang; Stephen L Mathias; Oleg Ursu; Subramani Mani; Anna Waller; Stephan C Schürer; Lars Juhl Jensen; Larry A Sklar; Cristian G Bologa; Tudor I Oprea

doi:10.1093/bioinformatics/btx200

TIN-X: target importance and novelty explorer

Daniel C Cannon, Jeremy J Yang, Stephen L Mathias, Oleg Ursu, Subramani Mani, Anna Waller, Stephan C Schürer, Lars Juhl Jensen, Larry A Sklar, Cristian G Bologa, Tudor I Oprea

Disease Systems Biology Program

9 Citationer (Scopus)

66 Downloads (Pure)

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. Contact: [email protected]

Originalsprog	Engelsk
Tidsskrift	Bioinformatics
Vol/bind	33
Udgave nummer	16
Sider (fra-til)	2601-2603
Antal sider	3
ISSN	1367-4803
DOI	https://doi.org/10.1093/bioinformatics/btx200
Status	Udgivet - 15 aug. 2017

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10.1093/bioinformatics/btx200Licens: CC BY

TIN-X: target importance and novelty explorerForlagets udgivne version, 266 KBLicens: CC BY

Citationsformater

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T2 - target importance and novelty explorer

AU - Cannon, Daniel C

AU - Yang, Jeremy J

AU - Mathias, Stephen L

AU - Ursu, Oleg

AU - Mani, Subramani

AU - Waller, Anna

AU - Schürer, Stephan C

AU - Jensen, Lars Juhl

AU - Sklar, Larry A

AU - Bologa, Cristian G

AU - Oprea, Tudor I

PY - 2017/8/15

Y1 - 2017/8/15

N2 - 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. Contact: [email protected]

AB - 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. Contact: [email protected]

U2 - 10.1093/bioinformatics/btx200

DO - 10.1093/bioinformatics/btx200

M3 - Journal article

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SN - 1367-4803

VL - 33

SP - 2601

EP - 2603

JO - Bioinformatics

JF - Bioinformatics

IS - 16

ER -

TIN-X: target importance and novelty explorer

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