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Publication Detail
Benchmarking genetically improved BarraCUDA on epigenetic methylation NGS datasets and nVidia GPUs
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Publication Type:Conference
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Authors:Langdon WB, Vilella A, Lam BYH, Petke J, Harman M
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Publication date:20/07/2016
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Pagination:1131, 1132
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Published proceedings:GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference
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ISBN-13:9781450343237
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Status:Published
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Name of conference:Genetic and Evolutionary Computation Conference (GECCO 2016)
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Conference place:Denver, Colorado
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Conference start date:20/07/2016
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Conference finish date:24/07/2016
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Full Text URL:
Abstract
© 2016 Copyright held by the owner/author(s).BarraCUDA uses CUDA graphics cards to map DNA reads to the human genome. Previously its software source code was genetically improved for short paired end next generation sequences. On longer noisy epigenetics strings using nVidia Titan and twin Tesla K40 the same GI-ed code is more than 3 times faster than bwa-meth on an 8 core CPU.
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