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MetaRanker Server ver. 1.0
MetaRanker prioritizes the entire protein-coding part of the
human genome based on heterogeneous user-specified data sets:
- Genome-wide association study SNP to phenotype associations.
- Known susceptibility genes, which based on
high-confidence protein-protein interaction data are used to identify
interacting candidate protein-products.
- Data from linkage studies capturing co-segregation of
chromosomal regions and disease-specific phenotypes in families.
- Quantitative data on disease similarities, which may add
information that cross normal disease and risk-phenotype definition
barriers.
- Differential gene expression data, which may add important
tissue-specific information.
CITATION
For publication of results, please cite:
Meta-analysis of heterogeneous data sources for genome-scale
identification of risk genes in complex phenotypes
Tune H. Pers, Niclas Tue Hansen, Kasper Lage, Pernille
Koefoed, Piotr Dworzynski, Martin Lee Miller, Tracey J. Flint, Erling Mellerup,
Henrik Dam, Ole A. Andreassen, Srdjan Djurovic, Ingrid Melle, Anders
D. Borglum, Thomas Werge, Shaun Purcel, Manuel A. Ferreira,
Irene Kouskoumvekaki, Christopher T. Workman, Torben Hansen, Ole
Mors, Soren Brunak
Genetic Epidemiology, Volume 35, Issue 5, pages 318-332, July 2011
View the abstract.
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