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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2601-2603 |
| Number of pages | 3 |
| Journal | Bioinformatics (Oxford, England) |
| Volume | 33 |
| Issue number | 16 |
| DOIs | |
| State | Published - Aug 15 2017 |
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ASJC Scopus subject areas
- Statistics and Probability
- Biochemistry
- Molecular Biology
- Computer Science Applications
- Computational Theory and Mathematics
- Computational Mathematics
Cite this
TIN-X : target importance and novelty explorer. / Cannon, Daniel C.; Yang, Jeremy J.; Mathias, Stephen L.; Ursu, Oleg; Mani, Subramani; Waller, Anna; Schuerer, Stephan C; Jensen, Lars Juhl; Sklar, Larry A.; Bologa, Cristian G.; Oprea, Tudor I.
In: Bioinformatics (Oxford, England), Vol. 33, No. 16, 15.08.2017, p. 2601-2603.Research output: Contribution to journal › Article
}
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 - Schuerer, 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.
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 -