Benchmarking Genetically Improved BarraCUDA on Epigenetic Methylation NGS datasets and nVidia GPUs

Created by W.Langdon from gp-bibliography.bib Revision:1.8010

@InProceedings{langdon:2016:GI,

• author = "William B. Langdon and Albert Vilella and Brian Yee Hong Lam and Justyna Petke and Mark Harman",
• title = "Benchmarking Genetically Improved {BarraCUDA} on Epigenetic Methylation {NGS} datasets and {nVidia} {GPUs}",
• booktitle = "Genetic Improvement 2016 Workshop",
• year = "2016",
• editor = "Justyna Petke and Westley Weimer and David R. White",
• pages = "1131--1132",
• address = "Denver",
• publisher_address = "New York, NY, USA",
• month = jul # " 20-24",
• organisation = "SIGEvo",
• publisher = "ACM",
• keywords = "genetic algorithms, genetic programming, Genetic Improvement, SBSE, GPGPU, Medicine, Bioinformatics, next generation sequencing",
• URL = "http://www.cs.ucl.ac.uk/staff/W.Langdon/ftp/papers/langdon_2016_GI.pdf",
• URL = "http://geneticimprovementofsoftware.com/wp-content/uploads/2016/06/Benchmarking_Genetically_Improved-BarraCUDA_on_Epigenetic_Methylation_NGS_datasets_and_nVidia_GPUs.pdf",
• DOI = "doi:10.1145/2908961.2931687",
• size = "2 pages",
• abstract = "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.",
• notes = "See \cite{Langdon:2015:GECCO} GECCO-2016 Workshop http://geneticimprovementofsoftware.com/ http://sourceforge.net/projects/seqbarracuda/",

}

Genetic Programming entries for William B Langdon Albert Vilella Brian Yee Hong Lam Justyna Petke Mark Harman

Citations