Web-based Analysis of Mouse Gene Expression Data
Author Information
Author(s): Laule Oliver, Hirsch-Hoffmann Matthias, Hruz Tomas, Gruissem Wilhelm, Zimmermann Philip
Primary Institution: ETH Zurich
Hypothesis
An increase in the number of experiments and replicates per defined category generally attenuates experiment specific effects in favor of global trends.
Conclusion
The Genevestigator-Mouse database effectively provides biologically meaningful results.
Supporting Evidence
- Genevestigator provides tools for biologists to retrieve information about gene expression.
- The database includes 3110 curated mouse Affymetrix arrays.
- Quality control measures were applied to ensure data comparability.
Takeaway
Genevestigator helps scientists understand how genes work by analyzing a lot of data about mouse genes.
Methodology
Data was curated and quality-controlled from 3110 mouse Affymetrix arrays, allowing context-driven queries about gene expression.
Potential Biases
Marker identification methods may be sensitive to arrays with weak hybridization signals.
Limitations
Some interesting published experiments could not be included due to lacking experiment annotation.
Digital Object Identifier (DOI)
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