Trevor DeVore

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Many modern-day Bioinformatics algorithms rely heavily on statistical models to analyze their biological data. Some of these statistical models lend themselves nicely to standard high performance computing optimizations such as parallelism, while others do not. One such algorithm is Markov Chain Monte Carlo (MCMC). In this thesis, we present a heterogeneous(More)
We present theory and experimental data on the minimum detectable feature size and spatial resolution for a scanning-laser microscope system that uses bulk photodetection. In the analysis, interactions of laser photons with an object are given a probability function that varies with the position within an object. Typical interactions that can be measured(More)
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