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

Molecular and Cellular Pharmacology

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

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: cbologa@salud.unm.edu

Original language	English (US)
Pages (from-to)	2601-2603
Number of pages	3
Journal	Bioinformatics
Volume	33
Issue number	16
DOIs	https://doi.org/10.1093/bioinformatics/btx200
State	Published - Aug 15 2017

ASJC Scopus subject areas

Statistics and Probability
Biochemistry
Molecular Biology
Computer Science Applications
Computational Theory and Mathematics
Computational Mathematics

Access to Document

10.1093/bioinformatics/btx200

Fingerprint Dive into the research topics of 'TIN-X: Target importance and novelty explorer'. Together they form a unique fingerprint.

Cite this

TIN-X : Target importance and novelty explorer. / Cannon, Daniel C.; Yang, Jeremy J.; Mathias, Stephen L.; Ursu, Oleg; Mani, Subramani; Waller, Anna; Schürer, Stephan C.; Jensen, Lars Juhl; Sklar, Larry A.; Bologa, Cristian G.; Oprea, Tudor I.

In: Bioinformatics, Vol. 33, No. 16, 15.08.2017, p. 2601-2603.

Research output: Contribution to journal › Article › peer-review

@article{da451e99891e4c0ca03caf4a7f41392c,

title = "TIN-X: Target importance and novelty explorer",

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: cbologa@salud.unm.edu ",

author = "Cannon, {Daniel C.} and Yang, {Jeremy J.} and Mathias, {Stephen L.} and Oleg Ursu and Subramani Mani and Anna Waller and Sch{\"u}rer, {Stephan C.} and Jensen, {Lars Juhl} and Sklar, {Larry A.} and Bologa, {Cristian G.} and Oprea, {Tudor I.}",

year = "2017",

month = aug,

day = "15",

doi = "10.1093/bioinformatics/btx200",

language = "English (US)",

volume = "33",

pages = "2601--2603",

journal = "Bioinformatics (Oxford, England)",

issn = "1367-4803",

publisher = "Oxford University Press",

number = "16",

}

TY - JOUR

T1 - TIN-X

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: cbologa@salud.unm.edu

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: cbologa@salud.unm.edu

UR - http://www.scopus.com/inward/record.url?scp=85034587016&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85034587016&partnerID=8YFLogxK

U2 - 10.1093/bioinformatics/btx200

DO - 10.1093/bioinformatics/btx200

M3 - Article

C2 - 28398460

AN - SCOPUS:85034587016

VL - 33

SP - 2601

EP - 2603

JO - Bioinformatics (Oxford, England)

JF - Bioinformatics (Oxford, England)

SN - 1367-4803

IS - 16

ER -

TIN-X: Target importance and novelty explorer

Abstract

ASJC Scopus subject areas

Access to Document

Other files and links

Cite this