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Editorial
. 2010 Sep;30(5):439-42.
doi: 10.1016/j.semnephrol.2010.07.001.

Integrative biology of renal disease: toward a holistic understanding of the kidney's function and failure

Affiliations
Editorial

Integrative biology of renal disease: toward a holistic understanding of the kidney's function and failure

Matthias Kretzler et al. Semin Nephrol. 2010 Sep.
No abstract available

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Figures

Figure 1
Figure 1
Multidimensional integration of large-scale data sets along the Genome – Phenome continuum integrating systems biology and patho- physiology
Fig. 2
Fig. 2. Structure and capabilities of Nephromine
The Nephromine database consists of three layers: data input, data analysis, and data visualization. The data input layer has two components, the microarray data pipeline and the annotation data warehouse. The microarray pipeline is used internally to identify and prioritize microarray studies in the literature. The pipeline also draws data directly from the Stanford Microarray Database and the NCBI Gene Expression Omnibus. The data-analysis layer consists of sample facts standardization and automated statistical analysis. The sample facts standardization utilizes the NCI Thesaurus and manual annotation. The automated statistical analysis component is implemented in Perl and R. A series of scripts monitors the database for new data and sample parameters and automatically performs differential expression analysis, cluster analysis, and concept analysis, when needed. The Nephromine web servers query data from the Nephromine database and display tabular and graphical representations of the data and analysis results.

References

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