I have been involved in the application of high-performance computing technologies to the challenges of disease gene identification and mutation screening. My efforts, in collaboration with members of the College of Medicine, have involved the design of novel techniques utilizing networked systems to analyze genomic sequence and annotation. This also includes the integration of detailed phenotypic data (clinical data) with molecular data (the results of wet-lab experiments). The techniques need to be adaptable so that they may utilize recent and future high-throughput technologies (microarrays, protoeomics, SNPs, etc.). The tools derived from these techniques are actively being applied to identify disease-causing mutations for glaucoma, macular degeneration, autism, retinitis pigmentosa, Bardet-Biedle syndrome, and others, and may lead to better understanding of the pathophysiology of these disorders.