Regional heritability advanced complex trait analysis for GPU and traditional parallel architectures
Author(s) -
Luis Cebamanos,
Alan Gray,
Isobel D. Stewart,
Albert Tenesa
Publication year - 2014
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/btt754
Subject(s) - computer science , heritability , speedup , exploit , software , parallel computing , graphics processing unit , workstation , biology , genetics , computer security , programming language , operating system
Quantification of the contribution of genetic variation to phenotypic variation for complex traits becomes increasingly computationally demanding with increasing numbers of single-nucleotide polymorphisms and individuals. To meet the challenges in making feasible large-scale studies, we present the REgional heritability advanced complex trait analysis software. Adapted from advanced complex trait analysis (and, in turn, genome-wide complex trait analysis), it is tailored to exploit the parallelism present in modern traditional and graphics processing unit (GPU)-accelerated machines, from workstations to supercomputers.
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