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Page describes a simple step-by-step tutorial to load fitSNPs into UCSC genome graph and visualize it along with your genomic data, such as GWAS data. Some highly differentially expressed genes have not yet been associated with any disease, and are interesting investigative leads. We used fitSNPs to prioritize genes for diseases with previously identified loci and unknown molecular basis from OMIM, and suggested 2586 genes to be sequenced for 597 syndromes in the prediction. Last updated on May 14 , 2009.
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Blogging and Social Media for the Fitness and Health Industries.
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