* Department of Bioengineering, University of California, San Diego;
Division of Computer Science, University of California, Berkeley;
Trey Ideker and Richard Karp: "Pathway-Based Association: A New
Paradigm for Genome Wide Association Studies." Ideker and Karp
propose to help explain the associations captured by GWAS in terms
of known gene and protein interactions by developing computational
tools that help explain linkages between signaling, regulatory and
metabolic pathways to the genes that are associated with a disorder.
If successful, this research could have a positive impact on a broad
range of genomic studies.
* Columbia University, George Hripcsak: "Phenotypic Pipeline for
Genome-wide Association Studies." Large-scale studies involving many
subjects, or even smaller studies in which subjects are selected
from a larger population, will require innovative means to extract a
reliable, useful phenotype from electronic health records data.
Hripcsak proposes to develop advanced informatics methods to convert
raw health records data into usable research information.
* University of the Republic of Uruguay; Pasteur Institute at
Montevideo, Raul Ruggia and Hugo Naya: "Data Quality Management for
Model Improvement in GWAS." This project addresses the problems of
building a data-quality management environment for the biological
area, which would enable the user to define and evaluate
biological-oriented data-quality properties over specific data
sources. The biological-oriented properties would be defined in
terms of the basic ones, and the environment would use the existing
techniques that manage basic quality properties. The main expected
|SOURCE Microsoft Corp.|
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