Keywords

research and education; enhancing biological, clinical and epidemiological research and trials; bioinformatics; translational research

Abstract

Widespread use of microarray technology has led to highly complex datasets often 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 as a progression over time. Our program (SPOT) helps the researcher find these patterns in large sets of microarray data. We created a software tool using open-source platforms and the Semantic Web tool Protégé-OWL.

Comments

Original Citation: Tusch, Guenter, and Olvi Tole. “Translational Meta-Analysis Tool for Temporal Gene Expression Profiles.” Studies in Health Technology and Informatics 180 (2012): 1156-1158.

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