CATE: A fast and scalable CUDA implementation to conduct highly parallelized evolutionary tests on large scale genomic data

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 ti...

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Bibliographic Details
Published in:	Methods in Ecology and Evolution
Main Authors:	Deshan Perera, Elsa Reisenhofer, Said Hussein, Eve Higgins, Christian D. Huber, Quan Long
Format:	Article
Language:	English
Published:	Wiley 2023-08-01
Subjects:	compute unified device architecture (CUDA) multiprocessing and threading population genetics tests for molecular evolution
Online Access:	https://doi.org/10.1111/2041-210X.14168

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