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Genome Wide Association Studies, or GWAS for short, are gradually becoming more commonplace. These studies are designed to find genetic variants, or SNPs, that are correlated between Case or Control individuals. Rapid advances in the genotyping technology have dramatically increased our ability to generate ever larger amounts of data over the last year. Experiments are now being planned that measure a million SNPs across tens of thousands of samples.

This paper will briefly describe how InforSense has met some of the challenges that scientists have to solve when faced with analyzing the results from a GWA study.

Keywords
InforSense, InforSense White Paper, High Throughput GWAS Analysis - A Challenge for Scientific Researchers, Genome Wide Association Studies, data, genetic variants, SNPs, scientists
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