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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Detalles Bibliográficos
Autores principales: Sangket, Unitsa, Mahasirimongkol, Surakameth, Chantratita, Wasun, Tandayya, Pichaya, Aulchenko, Yurii S
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879286/
https://www.ncbi.nlm.nih.gov/pubmed/20429914
http://dx.doi.org/10.1186/1471-2105-11-217

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2879286/
https://www.ncbi.nlm.nih.gov/pubmed/20429914
http://dx.doi.org/10.1186/1471-2105-11-217

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