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GLIDE specifications


Unique identifier OMICS_10118
Software type Package/Module
Interface Command line interface
Restrictions to use None
Operating system Unix/Linux
Parallelization CUDA
Computer skills Advanced
Stability Stable
Maintained Yes


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  • person_outline Karsten Borgwardt <>

Publication for GLIDE

GLIDE citation


Discovering epistasis in large scale genetic association studies by exploiting graphics cards

PMCID: 3848199
PMID: 24348518
DOI: 10.3389/fgene.2013.00266

[…] upon searching the literature for epistasis detection methods on gpus, we were able to locate and download programs for eight published methods, which we list as epigpu(hemani et al., ), glide (kam-thong et al., ), gboost(yung et al., ), cugwam(kwon et al., ), epiblaster(kam-thong et al., ), epigpuhsic(kam-thong et al., ), shesisepi(hu et al., ), and mdrgpu(greene et al., ). […]

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GLIDE institution(s)
Machine Learning and Computational Biology Research Group, Max Planck Institutes Tübingen, Germany

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