Genome-wide Clustering of Genes

With the development of 500K chips, i.e. approximately 500.000 single nucleotide polymorphisms per individual, the quantity and quality of data in genetic researches have risen considerably. As the amount of data makes it hard for any researcher to identify genes and SNPs that are relevant for a specific research problem, it is necessary to organize the data into clusters based on their informativeness. A good approach to cluster the data is to use genetic data, the gene functions and the phenotypes of individuals.