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Translational Meta-Analysis Tool for Temporal Gene Expression Profiles.

Authors :
Mantas, John
Andersen, Stig Kjær
Mazzoleni, Maria Christina
Blobel, Bernd
Quaglini, Silvana
Moen, Anne
Tusch, Guenter
Tole, Olvi
Source :
Studies in Health Technology & Informatics; 2012, Vol. 180, p1156-1158, 3p, 1 Diagram
Publication Year :
2012

Abstract

Widespread use of microarray technology that led to highly complex datasets often is addressing similar or related biological questions. In translational medicine research is often based on measurements that have been obtained at different points in time. However, the researcher looks at them as a progression over time. If a biological stimulus shows an effect on a particular gene that is reversed over time, this would show, for instance, as a peak in the gene's temporal expression profile. Our program SPOT helps researchers find these patterns in large sets of microarray data. We created the software tool using open-source platforms and the Semantic Web tool Protégé-OWL. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09269630
Volume :
180
Database :
Complementary Index
Journal :
Studies in Health Technology & Informatics
Publication Type :
Academic Journal
Accession number :
78362166