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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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| Autors principals: | , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2010
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| Matèries: | |
| Accés en línia: | 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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