TIN-X: target importance and novelty explorer

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

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 › Journal article › Research › peer-review

Harvard

Cannon, DC, Yang, JJ, Mathias, SL, Ursu, O, Mani, S, Waller, A, Schürer, SC, Jensen, LJ, Sklar, LA, Bologa, CG & Oprea, TI 2017, 'TIN-X: target importance and novelty explorer', Bioinformatics, vol. 33, no. 16, pp. 2601-2603. https://doi.org/10.1093/bioinformatics/btx200

APA

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, 33(16), 2601-2603. https://doi.org/10.1093/bioinformatics/btx200

Vancouver

Cannon DC, Yang JJ, Mathias SL, Ursu O, Mani S, Waller A et al. TIN-X: target importance and novelty explorer. Bioinformatics. 2017 Aug 15;33(16):2601-2603. https://doi.org/10.1093/bioinformatics/btx200

Author

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. / TIN-X : target importance and novelty explorer. In: Bioinformatics. 2017 ; Vol. 33, No. 16. pp. 2601-2603.

Bibtex

@article{56f36b6e899f4aceb180d88cec9ad30d,
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.Availability and Implementation: http://www.newdrugtargets.org.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",
volume = "33",
pages = "2601--2603",
journal = "Computer Applications in the Biosciences",
issn = "1471-2105",
publisher = "Oxford University Press",
number = "16",

}

RIS

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.Availability and Implementation: http://www.newdrugtargets.org.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.Availability and Implementation: http://www.newdrugtargets.org.Contact: cbologa@salud.unm.edu.

U2 - 10.1093/bioinformatics/btx200

DO - 10.1093/bioinformatics/btx200

M3 - Journal article

C2 - 28398460

VL - 33

SP - 2601

EP - 2603

JO - Computer Applications in the Biosciences

JF - Computer Applications in the Biosciences

SN - 1471-2105

IS - 16

ER -

ID: 184321313