ParallABEL: an R library for generalized parallelization of genome-wide association studies

BACKGROUND: Genome-Wide Association (GWA) analysis is a powerful method for identifying loci associated with complex traits and drug response. Parts of GWA analyses, especially those involving thousands of individuals and consuming hours to months, will benefit from parallel computation. It is arduo...

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Détails bibliographiques
Auteurs principaux: Sangket, Unitsa, Mahasirimongkol, Surakameth, Chantratita, Wasun, Tandayya, Pichaya, Aulchenko, Yurii S
Format: Artigo
Langue:Inglês
Publié: BioMed Central 2010
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Software
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC2879286/
https://ncbi.nlm.nih.gov/pubmed/20429914
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-11-217
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