Data science in genomics


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Statistical models have become invaluable tools across many fields of quantitative biology and data sciences more broadly. We have initiated several projects aimed at developing new probabilistic algorithms for studying continuous variables and traits. Check out our recent work on statistical distances for Gaussian processes.


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We are interested in developing tools and algorithms for studying “Big Data” (typically in biology) across many time scales. Additionally, check out our study on microsatellite evolution across 450 million years of vertebrate genome evolution.
Also, check out our collaborative work on venom evolution, the Garter snake genome, the Prairie rattlesnake genome, and the evolution of transposable elements across vertebrate genomes.