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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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2012
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3342145/ https://ncbi.nlm.nih.gov/pubmed/22471660 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2156-13-24 |
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