I design algorithms and software to solve computational problems in genomic science and medicine. I am modernizing the Utah Population Database (UPDB) for purposes of family-based genomics analyses. The UPDB is the largest resource for tracking diseases in families in the world. This project involves (1) development of graph-based algorithms for identification of cliques of individuals with statistically significant enrichment for disease; (2) algorithms for identifying cliques with optimal combinations of affected and unaffected individuals for sequencing; (3) development of covariant techniques to control for confounding variables such as BMI, geographic location and environmental exposure. I have also developed a website for re-ranking genetic variants based on phenotype terms:
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