Abstract:Statistical tests for molecular evolution provide quantifiable insights into the selection pressures that govern a genome's evolution. Increasing sample sizes used for analysis leads to higher statistical power. However, this requires more computational nodes or longer computational time.
CATE (CUDA Accelerated Testing of Evolution) is a computational solution to this problem comprised of two main innovations. The first is a file organization system coupled with a novel search algorithm and the second is a lar… Show more
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