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Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap software system
BACKGROUND: Structured association mapping is proving to be a powerful strategy to find genetic polymorphisms associated with disease. However, these algorithms are often distributed as command line implementations that require expertise and effort to customize and put into practice. Because of the...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3342145/ https://www.ncbi.nlm.nih.gov/pubmed/22471660 http://dx.doi.org/10.1186/1471-2156-13-24 |