Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs | Zendy

Tony Kam-Thong | Zendy; Benno Pütz | Zendy; Nazanin Karbalai | Zendy; Bertram MüllerMyhsok | Zendy; Karsten Borgwardt | Zendy

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Epistasis detection on quantitative phenotypes by exhaustive enumeration using GPUs

Author(s) -

Tony Kam-Thong,

Benno Pütz,

Nazanin Karbalai,

Bertram MüllerMyhsok,

Karsten Borgwardt

Publication year - 2011

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btr218

Subject(s) - epistasis , computer science , enumeration , computational biology , software , genome , graphics , population , biology , genetics , gene , mathematics , combinatorics , programming language , computer graphics (images) , demography , sociology

In recent years, numerous genome-wide association studies have been conducted to identify genetic makeup that explains phenotypic differences observed in human population. Analytical tests on single loci are readily available and embedded in common genome analysis software toolset. The search for significant epistasis (gene-gene interactions) still poses as a computational challenge for modern day computing systems, due to the large number of hypotheses that have to be tested.

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